The Rise of The Data Scientist
•Download as PPTX, PDF•
0 likes•64 views
The document summarizes a webinar on the rise of data science as an occupation. It introduces the speakers, Jess Willis and Brandy Freitas from Precisely and Anthony Scriffignano from Dun & Bradstreet. The webinar will discuss the growth of data science as a career, challenges in real-world data science projects, how the next generation can prepare for data science roles, resources for upskilling, and provide a question and answer session.
Report
Share
Report
Share
Recommended
Do You Trust Your Machine Learning Outcomes?
How to improve trust in advanced analytics, AI, and machine learning
With the volume, velocity, and variety of data coming into the enterprise, IT teams are turning to artificial intelligence and machine learning to improve the efficiency and accuracy of their data management processes. But if you have underlying data integrity challenges, and you’re using that faulty data to train your machine learning algorithms, your machine learning is now fueled by faulty data. How does that impact your business decisions?
View this on-demand webinar with Dr. Tendü Yoğurtçu, Precisely CTO, for this informative discussion where she will examine various use cases for machine learning and advanced analytics. We will also explore the root causes of data integrity challenges, including:
- Poor data quality
- Data silos
- Lack of context that enriches the understanding of your data
Liberate Your Data: Integrate Data From Traditional On-Prem Systems to Next-G...
Hear from our data experts on how to modernize your data infrastructure and integrate siloed data into cloud-based enterprise data hubs. A modern data infrastructure helps to power high-performance analytics, AI and machine learning.
Watch this on-demand webinar to learn how to liberate your data from traditional on-premise data systems and migrate it to next-gen cloud platforms, such as Snowflake.
See a live demonstration of Connect which has already helped thousands of organisations to liberate their data in order to improve customer experience, reduce churn, lower risk, and meet regulatory requirements.
(Data) Integrity Matters: Four Ways You Can Build Trust in Your Data
According to the Harvard Business Review, 47% of newly created data records have at least one critical error. For many organizations, the ability to trust their data seems almost impossible. Data lives in silos, is stale, unstandardized, full of duplicates, incomplete, or lacking in the insights required to make it truly valuable.
That’s why focusing on achieving data integrity – data with maximum accuracy, consistency, and context – drives better, faster, more confident decisions for your business.
During this on-demand webinar, you will learn how Precisely defines data integrity and how we can help you:
• Effectively integrate data from multiple data sources like mainframes, relational databases, or enterprise data warehouses into next-generation platforms
• Improve the quality of your data by making sure your data is complete, verified, and validated
• Incorporate third-party data to provide location, business, or demographic context
• Turn data into actionable insights using location – a straight-forward way to organize, manage, enrich, and analyze business data
Keine Angst vorm Dinosaurier: Mainframe-Integration und -Offloading mit Confl...
Mainframes sind immer noch weit verbreitet im Einsatz und verarbeiten täglich über 70 Prozent der wichtigsten Rechentransaktionen der Welt. Sehr hohe Kosten, monolithische Architekturen und fehlende Experten sind die größten Herausforderungen für Mainframe-Anwendungen. Es ist an der Zeit, innovativer zu werden, auch mit dem Mainframe! Stellen wir uns gemeinsam dem Dinosaurier!
Mainframe Offloading mit Confluent, Apache Kafka und dem zugehörigen Ökosystem kann genutzt werden, um moderne Dateninfrastrukturen in Echtzeit mit dem Mainframe synchron zu halten. Dabei ermöglich Kafka sowohl die Datenverarbeitung als auch die Integration mit Systemen wie Data Warehouses und Analytics-Plattformen. Dabei können via Change Data Capture (CDC) permanent Mainframe-Änderungen im hochvoluminösen Bereich nach Kafka gepusht werden.
In dieser on-demand-präsentation zeigen Confluent und Precisely, wie Unternehmen diesen Schritt zur Legacy-Migration machen, Kosten sparen, eine skalierbare und offene Architektur schaffen und so neue Dienste und Anwendungen ermöglichen.
Your Data Sucks! How to Build Trust in Data for Better Decisions
Trusted decisions are powered by trusted data. If your business embraces a data-driven culture, then every decision you make, and every answer offered by machine learning and analytics is guided by data. Your success or failure will be determined by having data you can trust.
View this on-demand webinar to explore the steps you can take to support better, faster decisions.
During this webinar, our expert panel discusses key topics such as:
• Why accuracy, consistency, and context are essential elements of data integrity
• Best practices in breaking down data silos and ensuring data quality
• How to visualize trends, relationships, and patterns in your data
• How location intelligence and enrichment can make data more valuable and complete
Data Integrity: The Baseline for Innovation
This document discusses the importance of data integrity and governance. It begins by noting that data is fueling decision making and digital transformation. It then discusses how data integrity journeys are unique but driven by business needs. Ensuring data integrity provides many benefits like improved reporting, analytics and operational excellence. Effective data governance connects business value to critical data assets from an operational, tactical and strategic perspective. A key finding is that improving data quality is the leading benefit of data governance programs. The document argues that data governance and quality are symbiotic and help build trust in data, measure business value, and foster insights. It concludes by outlining the key steps in a journey to data integrity through modernization, governance, analytics and enrichment.
Operationalizing Location Data and Data Science to Gain a Competitive Edge in...
The increasing availability of location-based data, plus the growing capabilities of AI and ML, provides an optimal opportunity for companies to capitalize on location-based data science for a competitive edge. However, across the board, companies are challenged with finding an effective strategy for organizing, consistently enriching, and analyzing location data across the enterprise – and as a result, are experiencing a wide variety of challenges.
Join this on-demand session to learn how customers are developing data analytics strategies to enable the widespread consumption of location data to solve customer acquisition, customer satisfaction, and network optimization challenges.
Expanding Trust in Data
With recent acquisitions of master data management, process automation, and data governance capabilities, Precisely accelerates its leadership in data integrity with the broadest solution available from any one company. Join us in this webinar to learn about:
- The importance of data integrity for building business opportunities based on trusted data.
- How Winshuttle’s master data management and process automation products help achieve trust in data.
- How data governance capabilities from Infogix bridge the gap between business and IT to map your data integrity journey.
Recommended
Do You Trust Your Machine Learning Outcomes?
How to improve trust in advanced analytics, AI, and machine learning
With the volume, velocity, and variety of data coming into the enterprise, IT teams are turning to artificial intelligence and machine learning to improve the efficiency and accuracy of their data management processes. But if you have underlying data integrity challenges, and you’re using that faulty data to train your machine learning algorithms, your machine learning is now fueled by faulty data. How does that impact your business decisions?
View this on-demand webinar with Dr. Tendü Yoğurtçu, Precisely CTO, for this informative discussion where she will examine various use cases for machine learning and advanced analytics. We will also explore the root causes of data integrity challenges, including:
- Poor data quality
- Data silos
- Lack of context that enriches the understanding of your data
Liberate Your Data: Integrate Data From Traditional On-Prem Systems to Next-G...
Hear from our data experts on how to modernize your data infrastructure and integrate siloed data into cloud-based enterprise data hubs. A modern data infrastructure helps to power high-performance analytics, AI and machine learning.
Watch this on-demand webinar to learn how to liberate your data from traditional on-premise data systems and migrate it to next-gen cloud platforms, such as Snowflake.
See a live demonstration of Connect which has already helped thousands of organisations to liberate their data in order to improve customer experience, reduce churn, lower risk, and meet regulatory requirements.
(Data) Integrity Matters: Four Ways You Can Build Trust in Your Data
According to the Harvard Business Review, 47% of newly created data records have at least one critical error. For many organizations, the ability to trust their data seems almost impossible. Data lives in silos, is stale, unstandardized, full of duplicates, incomplete, or lacking in the insights required to make it truly valuable.
That’s why focusing on achieving data integrity – data with maximum accuracy, consistency, and context – drives better, faster, more confident decisions for your business.
During this on-demand webinar, you will learn how Precisely defines data integrity and how we can help you:
• Effectively integrate data from multiple data sources like mainframes, relational databases, or enterprise data warehouses into next-generation platforms
• Improve the quality of your data by making sure your data is complete, verified, and validated
• Incorporate third-party data to provide location, business, or demographic context
• Turn data into actionable insights using location – a straight-forward way to organize, manage, enrich, and analyze business data
Keine Angst vorm Dinosaurier: Mainframe-Integration und -Offloading mit Confl...
Mainframes sind immer noch weit verbreitet im Einsatz und verarbeiten täglich über 70 Prozent der wichtigsten Rechentransaktionen der Welt. Sehr hohe Kosten, monolithische Architekturen und fehlende Experten sind die größten Herausforderungen für Mainframe-Anwendungen. Es ist an der Zeit, innovativer zu werden, auch mit dem Mainframe! Stellen wir uns gemeinsam dem Dinosaurier!
Mainframe Offloading mit Confluent, Apache Kafka und dem zugehörigen Ökosystem kann genutzt werden, um moderne Dateninfrastrukturen in Echtzeit mit dem Mainframe synchron zu halten. Dabei ermöglich Kafka sowohl die Datenverarbeitung als auch die Integration mit Systemen wie Data Warehouses und Analytics-Plattformen. Dabei können via Change Data Capture (CDC) permanent Mainframe-Änderungen im hochvoluminösen Bereich nach Kafka gepusht werden.
In dieser on-demand-präsentation zeigen Confluent und Precisely, wie Unternehmen diesen Schritt zur Legacy-Migration machen, Kosten sparen, eine skalierbare und offene Architektur schaffen und so neue Dienste und Anwendungen ermöglichen.
Your Data Sucks! How to Build Trust in Data for Better Decisions
Trusted decisions are powered by trusted data. If your business embraces a data-driven culture, then every decision you make, and every answer offered by machine learning and analytics is guided by data. Your success or failure will be determined by having data you can trust.
View this on-demand webinar to explore the steps you can take to support better, faster decisions.
During this webinar, our expert panel discusses key topics such as:
• Why accuracy, consistency, and context are essential elements of data integrity
• Best practices in breaking down data silos and ensuring data quality
• How to visualize trends, relationships, and patterns in your data
• How location intelligence and enrichment can make data more valuable and complete
Data Integrity: The Baseline for Innovation
This document discusses the importance of data integrity and governance. It begins by noting that data is fueling decision making and digital transformation. It then discusses how data integrity journeys are unique but driven by business needs. Ensuring data integrity provides many benefits like improved reporting, analytics and operational excellence. Effective data governance connects business value to critical data assets from an operational, tactical and strategic perspective. A key finding is that improving data quality is the leading benefit of data governance programs. The document argues that data governance and quality are symbiotic and help build trust in data, measure business value, and foster insights. It concludes by outlining the key steps in a journey to data integrity through modernization, governance, analytics and enrichment.
Operationalizing Location Data and Data Science to Gain a Competitive Edge in...
The increasing availability of location-based data, plus the growing capabilities of AI and ML, provides an optimal opportunity for companies to capitalize on location-based data science for a competitive edge. However, across the board, companies are challenged with finding an effective strategy for organizing, consistently enriching, and analyzing location data across the enterprise – and as a result, are experiencing a wide variety of challenges.
Join this on-demand session to learn how customers are developing data analytics strategies to enable the widespread consumption of location data to solve customer acquisition, customer satisfaction, and network optimization challenges.
Expanding Trust in Data
With recent acquisitions of master data management, process automation, and data governance capabilities, Precisely accelerates its leadership in data integrity with the broadest solution available from any one company. Join us in this webinar to learn about:
- The importance of data integrity for building business opportunities based on trusted data.
- How Winshuttle’s master data management and process automation products help achieve trust in data.
- How data governance capabilities from Infogix bridge the gap between business and IT to map your data integrity journey.
Vuzion Inspired Event - Highlights from Microsoft Inspire 2017
Microsoft Inspire, 9-13 July 2017 - What an inspirational week!
With over 680 sessions and 17,000 people attending Microsoft's biggest annual event in Washington DC, there was a huge amount covered, including Vision Keynotes, workshops, discussion groups, panels and a large expo.
To make sure you're up-to-date with all the news, Microsoft, Vuzion and our Partners shared the insights with you at our special Inspired event.
As UK headline sponsor, the Vuzion team at Inspire was delighted to be able to meet up with so many partners and industry colleagues.
But, whether you were at Inspire or unable to attend Microsoft's flagship partner event, if you'd like more information about the key announcements from Inspire here are the slides!
Platforming the Major Analytic Use Cases for Modern Engineering
We’ll describe some use cases as examples of a broad range of modern use cases that need a platform. We will describe some popular valid technology stacks that enterprises use in accomplishing these modern use cases of customer churn, predictive analytics, fraud detection, and supply chain management.
In many industries, to achieve top-line growth, it is imperative that companies get the most out of existing customer relationships. Customer churn use cases are about generating high levels of profitable customer satisfaction through the use of knowledge generated from corporate and external data to help drive a more positive customer experience (CX).
Many organizations are turning to predictive analytics to increase their bottom line and efficiency and, therefore, competitive advantage. It can make the difference between business success or failure.
Fraudulent activity detection is exponentially more effective when risk actions are taken immediately (i.e., stop the fraudulent transaction), instead of after the fact. Fast digestion of a wide network of risk exposures across the network is required in order to minimize adverse outcomes.
Supply chain leaders are under constant pressure to reduce overall supply chain management (SCM) costs while maintaining a flexible and diverse supplier ecosystem. They will leverage IoT, sensors, cameras, and blockchain. Major investments in advanced analytics, warehouse relocation, and automation, both in distribution centers and stores, will be essential for survival.
MLOps - Getting Machine Learning Into Production
Creating autonomy and self-sufficiency by giving people what they need in order to do the things they need to do! What gets in the way, and how can we overcome those barriers? How do we get started quickly, effectively and safely? We'll come together to look at what MLOps entails, some of the tools available and what common MLOps pipelines look like.
Information Asset Management in Financial Institutions: How Much Is It Really...
It is hard to imagine that anyone would invest $1.00 but then lose $100 in the process; that would be considered an awful investment decision. It’s widely accepted that investments should translate to positive returns. The value of an investment is determined by the quality of the information provided, demonstratable consistency, and context in how it should be leveraged. This is how intrinsic trust and positive decision making is formed. Data is a type of currency that banks invest in significantly, to transform into information assets. These information assets support decision-making, ensure compliance with regulations, control costs, optimize customer engagement, provide a seamless multi-channel, and positively impact a positive customer experience. The cost of investing in bad data quality is both escalating and profound. For example, if the cost to capture a single data element is $1.00. But, if that data element is incorrect, it will cost 10x the original costs to fix, test and deploy corrected data. After the data is repaired, it will cost well over 100x the initial value to identify, correct, and shift decisions based on inaccurate information assets.
Join this on-demand session to learn more about how bad data, inconsistent data, and a lack of context is costing financial institutions more than they realize.
Data Centric Development: Supercharge your web & mobile application development
Many businesses are finding that their web and mobile applications aren’t providing the long-term solution they were hoping for. As consumers provide more and more useful data, these digital platforms don’t allow businesses to take advantage of the huge opportunities that data presents.
Our new whitepaper details the practical steps you can take to supercharge your web and mobile application development and stay ahead of the data revolution.
DAMA Australia: How to Choose a Data Management Tool
The explosion of data types, sources, and use cases makes it difficult to make the right decisions around the best data management tools for your organisation. Why do you need them? Who is going to use them? What is their value?
Watch this webinar on-demand to learn how to demystify the decision making process for the selection of Data Management Tools that support:
· Data governance
· Data quality
· Data modelling
· Master data management
· Database development
· And more
The Path to Data and Analytics Modernization
Learn about the business demands driving modernization, the benefits of doing so, and how to get started.
Can your data and analytics solutions handle today’s challenges?
To stay competitive in today’s market, companies must be able to use their data to make better decisions. However, we are living in a world flooded by data, new technologies, and demands from the business for better and more advanced analytics. Most companies do not have the modern technologies and processes in place to keep up with these growing demands. They need to modernize how they collect, analyze, use, and share their data.
In this webinar, we discuss how you can build modern data and analytics solutions that are future ready, scalable, real-time, high speed, and agile and that can enable better use of data throughout your company.
We cover:
-The business demands and industry shifts that are impacting the need to modernize
-The benefits of data and analytics modernization
-How to approach data and analytics modernization- steps you need to take and how to get it right
-The pillars of modern data management
-Tips for migrating from legacy analytics tools to modern, next-gen platforms
-Lessons learned from companies that have gone through the modernization process
Data Integration Trends Businesses Should Watch for in 2021
Businesses should watch for several data integration trends in 2021 that can help them gain a competitive advantage. These include embracing automation to eliminate manual tasks, leveraging more data types like spatial and real-time data, evolving infrastructure to the cloud, improving customer experience with AI, planning for effective metadata management, and being prepared for changes in processor technology. To get the most value from data, organizations need data integration solutions that can adapt to these evolving trends.
Harnessing the Power of Advanced Insurance Analytics Through Property Data
In commercial and residential underwriting, accurate and robust property data is essential to effectively doing business and performing analytics.
Increasing availability of location-based data and the growing capabilities of AI/ML provide an optimal opportunity for companies to capitalize on location-based data science for a competitive edge. A Willis Towers Watson survey showed that 60% of companies are targeting AI/ML capabilities in 2021 to address IT and organizational bottlenecks, such as data infrastructure, to better analyze data when evaluating risk models and reducing manual input.
However, across the board, companies are challenged with finding an effective strategy for organizing, consistently enriching, and analyzing data across the enterprise. Precisely gives your business the confidence to make better, faster decisions through trusted data with maximum accuracy, consistency, and context.
Learn how clients are leveraging advanced analytics and property enrichment solutions to:
- Improve loss ratio through more diversified risk and profitable underwriting
- Improve the reliability of property evaluation using location data enrichment for every US property
- Enrich properties with thousands of attributes for better, more accurate analytical models, such as AI and ML technologies
- Enable real-time answers to complex analytics leveraging big data analytics platforms such as Databricks or cloud container systems such as Kubernetes
Foundational Strategies for Trust in Big Data Part 1: Getting Data to the Pla...
Teams working on new business initiatives, whether for enhancing customer engagement, creating new value, or addressing compliance considerations, know that a successful strategy starts with the synchronization of operational and reporting data from across the organization into a centralized repository for use in advanced analytics and other projects. However, the range and complexity of data sources as well as the lack of specialized skills needed to extract data from critical legacy systems often causes inefficiencies and gaps in the data being used by the business.
The first part of our webcast series on Foundation Strategies for Trust in Big Data provides insight into how Syncsort Connect with its design once, deploy anywhere approach supports a repeatable pattern for data integration by enabling enterprise architects and developers to ensure data from ALL enterprise data sources– from mainframe to cloud – is available in the downstream data lakes for use in these key business initiatives.
MPS Enterprise Content Management Solutions
MPS IntelliVector provides a faster, cost saving and 100% secure solution for processing confidential data leveraging outsourced or offshore data entry resources.
100% secure, even when outsourced (sensitive data is protected, outsourcing is safe)
60% faster compared to other forms processing solutions
100% accurate
up to 90% cheaper
connectors to various lines of business applications, ECM,
ERP, BPM and workflow solutions
Journey to Cloud Analytics
This presentation will discuss the stories of 3 companies that span different industries; what challenges they faced and how cloud analytics solved for them; what technologies were implemented to solve the challenges; and how they were able to benefit from their new cloud analytics environments.
The objectives of this session include:
• Detail and explain the key benefits and advantages of moving BI and analytics workloads to the cloud, and why companies shouldn’t wait any longer to make their move.
• Compare the different analytics cloud options companies have, and the pros and cons of each.
• Describe some of the challenges companies may face when moving their analytics to the cloud, and what they need to prepare for.
• Provide the case studies of three companies, what issues they were solving for, what technologies they implemented and why, and how they benefited from their new solutions.
• Learn what to look for one considering a partner and trusted advisor to assist with an analytics cloud migration.
Case Manager for Content Management - A Customer's Perspective
Motorists Mutual Insurance and Dayhuff Group share best practices and lessons learned from the Case Manager implementation at Motorists that is finally allowing the customer to realize the promise of Content Management.
The Ultimate Guide To Embedded Analytics
Did you know that the lack of in-context data prevents you from making smarter business decisions - and as a result, missing out on key revenue opportunities?
Foundational Strategies for Trust in Big Data Part 2: Understanding Your Data
This document provides an overview of understanding data through data profiling. It discusses:
1. The five key steps to effective data profiling: defining how to analyze the data, what to review, what to look for, when to build rules, and what to communicate.
2. Common challenges with big data and new data types, and measurements for assessing data quality.
3. A case study of how British Airways leveraged data profiling and governance to ensure accurate customer data across multiple systems and improve analysis, marketing and service.
Master Data Management - Aligning Data, Process and Governance
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing and analytic reporting. This webinar will provide practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
Why Data Modeling Is Fundamental
Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this development begins and ends with buzzwords: “big data,” “NoSQL,” “data scientist,” and so on. Few realize that any and all solutions to their business problems, regardless of platform or relevant technology, rely to a critical extent on the data model supporting them. As such, Data Modeling is not an optional task for an organization’s data effort, but rather a vital activity that facilitates the solutions driving your business. Since quality engineering/architecture work products do not happen accidentally, the more your organization depends on automation, the more important the data models driving the engineering and architecture activities of your organization become. This webinar illustrates Data Modeling as a key activity upon which so much technology depends.
Subscribing to Your Critical Data Supply Chain - Getting Value from True Data...
Operational Data Governance is more than a stewardship process for critical Business Assets. As organizations build structure around KPI’s and other critical data, a workflow develops that revolves around the sources and supply chain for that critical data. There can be many aspects to changes and inconsistencies affecting the final results of the supply chain. Inaccurate usage of data can result in audit penalties as well as erroneous report summaries and conclusions.
Is it coming from the correct authoritative source? Has the data been profiled? Has it met it’s threshold?
Gaps in the supply chain from incorrect pathways may lead dead ends or lost sources.
The value of understanding the entire supply chain cannot be overstated. When changes occur at and point, end users can validate that correct business standards, rules and policies have been applied to the critical data within the supply chain. Your organization can rest easy that you are not at risk for exposure due to improper usage, security, and compliance.
Join this webinar to uncover how companies are using data lineage to accomplish data supply chain transparency. You’ll also see the direct value clear data lineage can give to your business and IT landscape today.
An Overview of the Neo4j Cloud Strategy and the Future of Graph Databases in ...
This document discusses how graphs and cloud computing can accelerate innovation. It notes that all data and organizations are naturally connected in complex ways and graphs are core to modern intelligent applications. Connections in data help with personalization, recommendations, health, fraud prevention, and more. The document highlights growing adoption of graph databases and Neo4j's cloud-managed graph database service, Neo4j Aura, which provides simplicity, flexibility, reliability, and empowers faster iteration and collaboration in the cloud.
Slides: Accelerating Queries on Cloud Data Lakes
Using “zero-copy” hybrid bursting on remote data to solve data lake analytics capacity and performance problems.
Data scientists want answers on demand. But in today’s enterprise architectures, the reality is that most data remains on-prem, despite the promise of cloud-based analytics. Moving all that data to the cloud has typically not been possible for many reasons including cost, latency, and technical difficulty. So, what if there was a technology that would connect these on-prem environments to any major cloud platform, enabling high-powered computing without the need to move massive amounts of data?
Join us for this webinar where Alex Ma of Alluxio, an open-source data orchestration platform, will discuss how a data orchestration approach offers a solution for connecting traditional on-prem data centers and cloud data lakes with other clouds and data centers. With Alluxio’s “zero-copy” burst solution, companies can bridge remote data centers and data lakes with computing frameworks in other locations, enabling them to offload, compute, and leverage the flexibility, scalability, and power of the cloud for their remote data.
Webinar: Bring Your Data to Life with Power BI-2016-01-28
Power BI, a free Microsoft program, enables anyone to get rapid actionable insights from any data, any way, anywhere. Within minutes you’ll see and experience your data in new ways that you never imagined were possible. Using natural language and simple drag-and-drop ease, you can proactively monitor key metrics, spot real-time trends and get critical alerts from personalized dashboards.
The future of tech recruiting bob melk dice
Tech recruiting continues to evolve around the use of data and information. Demand for tech talent is at an all-time high with unemployment below 2% in the tech industry. Demand is driving higher salaries across many markets. Data science is crucial for tech recruiting strategies to efficiently assess skills demand and talent supply trends. Using data insights provides employers a strategic advantage to improve candidate segmentation and guide skill development.
More Related Content
What's hot
Vuzion Inspired Event - Highlights from Microsoft Inspire 2017
Microsoft Inspire, 9-13 July 2017 - What an inspirational week!
With over 680 sessions and 17,000 people attending Microsoft's biggest annual event in Washington DC, there was a huge amount covered, including Vision Keynotes, workshops, discussion groups, panels and a large expo.
To make sure you're up-to-date with all the news, Microsoft, Vuzion and our Partners shared the insights with you at our special Inspired event.
As UK headline sponsor, the Vuzion team at Inspire was delighted to be able to meet up with so many partners and industry colleagues.
But, whether you were at Inspire or unable to attend Microsoft's flagship partner event, if you'd like more information about the key announcements from Inspire here are the slides!
Platforming the Major Analytic Use Cases for Modern Engineering
We’ll describe some use cases as examples of a broad range of modern use cases that need a platform. We will describe some popular valid technology stacks that enterprises use in accomplishing these modern use cases of customer churn, predictive analytics, fraud detection, and supply chain management.
In many industries, to achieve top-line growth, it is imperative that companies get the most out of existing customer relationships. Customer churn use cases are about generating high levels of profitable customer satisfaction through the use of knowledge generated from corporate and external data to help drive a more positive customer experience (CX).
Many organizations are turning to predictive analytics to increase their bottom line and efficiency and, therefore, competitive advantage. It can make the difference between business success or failure.
Fraudulent activity detection is exponentially more effective when risk actions are taken immediately (i.e., stop the fraudulent transaction), instead of after the fact. Fast digestion of a wide network of risk exposures across the network is required in order to minimize adverse outcomes.
Supply chain leaders are under constant pressure to reduce overall supply chain management (SCM) costs while maintaining a flexible and diverse supplier ecosystem. They will leverage IoT, sensors, cameras, and blockchain. Major investments in advanced analytics, warehouse relocation, and automation, both in distribution centers and stores, will be essential for survival.
MLOps - Getting Machine Learning Into Production
Creating autonomy and self-sufficiency by giving people what they need in order to do the things they need to do! What gets in the way, and how can we overcome those barriers? How do we get started quickly, effectively and safely? We'll come together to look at what MLOps entails, some of the tools available and what common MLOps pipelines look like.
Information Asset Management in Financial Institutions: How Much Is It Really...
It is hard to imagine that anyone would invest $1.00 but then lose $100 in the process; that would be considered an awful investment decision. It’s widely accepted that investments should translate to positive returns. The value of an investment is determined by the quality of the information provided, demonstratable consistency, and context in how it should be leveraged. This is how intrinsic trust and positive decision making is formed. Data is a type of currency that banks invest in significantly, to transform into information assets. These information assets support decision-making, ensure compliance with regulations, control costs, optimize customer engagement, provide a seamless multi-channel, and positively impact a positive customer experience. The cost of investing in bad data quality is both escalating and profound. For example, if the cost to capture a single data element is $1.00. But, if that data element is incorrect, it will cost 10x the original costs to fix, test and deploy corrected data. After the data is repaired, it will cost well over 100x the initial value to identify, correct, and shift decisions based on inaccurate information assets.
Join this on-demand session to learn more about how bad data, inconsistent data, and a lack of context is costing financial institutions more than they realize.
Data Centric Development: Supercharge your web & mobile application development
Many businesses are finding that their web and mobile applications aren’t providing the long-term solution they were hoping for. As consumers provide more and more useful data, these digital platforms don’t allow businesses to take advantage of the huge opportunities that data presents.
Our new whitepaper details the practical steps you can take to supercharge your web and mobile application development and stay ahead of the data revolution.
DAMA Australia: How to Choose a Data Management Tool
The explosion of data types, sources, and use cases makes it difficult to make the right decisions around the best data management tools for your organisation. Why do you need them? Who is going to use them? What is their value?
Watch this webinar on-demand to learn how to demystify the decision making process for the selection of Data Management Tools that support:
· Data governance
· Data quality
· Data modelling
· Master data management
· Database development
· And more
The Path to Data and Analytics Modernization
Learn about the business demands driving modernization, the benefits of doing so, and how to get started.
Can your data and analytics solutions handle today’s challenges?
To stay competitive in today’s market, companies must be able to use their data to make better decisions. However, we are living in a world flooded by data, new technologies, and demands from the business for better and more advanced analytics. Most companies do not have the modern technologies and processes in place to keep up with these growing demands. They need to modernize how they collect, analyze, use, and share their data.
In this webinar, we discuss how you can build modern data and analytics solutions that are future ready, scalable, real-time, high speed, and agile and that can enable better use of data throughout your company.
We cover:
-The business demands and industry shifts that are impacting the need to modernize
-The benefits of data and analytics modernization
-How to approach data and analytics modernization- steps you need to take and how to get it right
-The pillars of modern data management
-Tips for migrating from legacy analytics tools to modern, next-gen platforms
-Lessons learned from companies that have gone through the modernization process
Data Integration Trends Businesses Should Watch for in 2021
Businesses should watch for several data integration trends in 2021 that can help them gain a competitive advantage. These include embracing automation to eliminate manual tasks, leveraging more data types like spatial and real-time data, evolving infrastructure to the cloud, improving customer experience with AI, planning for effective metadata management, and being prepared for changes in processor technology. To get the most value from data, organizations need data integration solutions that can adapt to these evolving trends.
Harnessing the Power of Advanced Insurance Analytics Through Property Data
In commercial and residential underwriting, accurate and robust property data is essential to effectively doing business and performing analytics.
Increasing availability of location-based data and the growing capabilities of AI/ML provide an optimal opportunity for companies to capitalize on location-based data science for a competitive edge. A Willis Towers Watson survey showed that 60% of companies are targeting AI/ML capabilities in 2021 to address IT and organizational bottlenecks, such as data infrastructure, to better analyze data when evaluating risk models and reducing manual input.
However, across the board, companies are challenged with finding an effective strategy for organizing, consistently enriching, and analyzing data across the enterprise. Precisely gives your business the confidence to make better, faster decisions through trusted data with maximum accuracy, consistency, and context.
Learn how clients are leveraging advanced analytics and property enrichment solutions to:
- Improve loss ratio through more diversified risk and profitable underwriting
- Improve the reliability of property evaluation using location data enrichment for every US property
- Enrich properties with thousands of attributes for better, more accurate analytical models, such as AI and ML technologies
- Enable real-time answers to complex analytics leveraging big data analytics platforms such as Databricks or cloud container systems such as Kubernetes
Foundational Strategies for Trust in Big Data Part 1: Getting Data to the Pla...
Teams working on new business initiatives, whether for enhancing customer engagement, creating new value, or addressing compliance considerations, know that a successful strategy starts with the synchronization of operational and reporting data from across the organization into a centralized repository for use in advanced analytics and other projects. However, the range and complexity of data sources as well as the lack of specialized skills needed to extract data from critical legacy systems often causes inefficiencies and gaps in the data being used by the business.
The first part of our webcast series on Foundation Strategies for Trust in Big Data provides insight into how Syncsort Connect with its design once, deploy anywhere approach supports a repeatable pattern for data integration by enabling enterprise architects and developers to ensure data from ALL enterprise data sources– from mainframe to cloud – is available in the downstream data lakes for use in these key business initiatives.
MPS Enterprise Content Management Solutions
MPS IntelliVector provides a faster, cost saving and 100% secure solution for processing confidential data leveraging outsourced or offshore data entry resources.
100% secure, even when outsourced (sensitive data is protected, outsourcing is safe)
60% faster compared to other forms processing solutions
100% accurate
up to 90% cheaper
connectors to various lines of business applications, ECM,
ERP, BPM and workflow solutions
Journey to Cloud Analytics
This presentation will discuss the stories of 3 companies that span different industries; what challenges they faced and how cloud analytics solved for them; what technologies were implemented to solve the challenges; and how they were able to benefit from their new cloud analytics environments.
The objectives of this session include:
• Detail and explain the key benefits and advantages of moving BI and analytics workloads to the cloud, and why companies shouldn’t wait any longer to make their move.
• Compare the different analytics cloud options companies have, and the pros and cons of each.
• Describe some of the challenges companies may face when moving their analytics to the cloud, and what they need to prepare for.
• Provide the case studies of three companies, what issues they were solving for, what technologies they implemented and why, and how they benefited from their new solutions.
• Learn what to look for one considering a partner and trusted advisor to assist with an analytics cloud migration.
Case Manager for Content Management - A Customer's Perspective
Motorists Mutual Insurance and Dayhuff Group share best practices and lessons learned from the Case Manager implementation at Motorists that is finally allowing the customer to realize the promise of Content Management.
The Ultimate Guide To Embedded Analytics
Did you know that the lack of in-context data prevents you from making smarter business decisions - and as a result, missing out on key revenue opportunities?
Foundational Strategies for Trust in Big Data Part 2: Understanding Your Data
This document provides an overview of understanding data through data profiling. It discusses:
1. The five key steps to effective data profiling: defining how to analyze the data, what to review, what to look for, when to build rules, and what to communicate.
2. Common challenges with big data and new data types, and measurements for assessing data quality.
3. A case study of how British Airways leveraged data profiling and governance to ensure accurate customer data across multiple systems and improve analysis, marketing and service.
Master Data Management - Aligning Data, Process and Governance
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing and analytic reporting. This webinar will provide practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
Why Data Modeling Is Fundamental
Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this development begins and ends with buzzwords: “big data,” “NoSQL,” “data scientist,” and so on. Few realize that any and all solutions to their business problems, regardless of platform or relevant technology, rely to a critical extent on the data model supporting them. As such, Data Modeling is not an optional task for an organization’s data effort, but rather a vital activity that facilitates the solutions driving your business. Since quality engineering/architecture work products do not happen accidentally, the more your organization depends on automation, the more important the data models driving the engineering and architecture activities of your organization become. This webinar illustrates Data Modeling as a key activity upon which so much technology depends.
Subscribing to Your Critical Data Supply Chain - Getting Value from True Data...
Operational Data Governance is more than a stewardship process for critical Business Assets. As organizations build structure around KPI’s and other critical data, a workflow develops that revolves around the sources and supply chain for that critical data. There can be many aspects to changes and inconsistencies affecting the final results of the supply chain. Inaccurate usage of data can result in audit penalties as well as erroneous report summaries and conclusions.
Is it coming from the correct authoritative source? Has the data been profiled? Has it met it’s threshold?
Gaps in the supply chain from incorrect pathways may lead dead ends or lost sources.
The value of understanding the entire supply chain cannot be overstated. When changes occur at and point, end users can validate that correct business standards, rules and policies have been applied to the critical data within the supply chain. Your organization can rest easy that you are not at risk for exposure due to improper usage, security, and compliance.
Join this webinar to uncover how companies are using data lineage to accomplish data supply chain transparency. You’ll also see the direct value clear data lineage can give to your business and IT landscape today.
An Overview of the Neo4j Cloud Strategy and the Future of Graph Databases in ...
This document discusses how graphs and cloud computing can accelerate innovation. It notes that all data and organizations are naturally connected in complex ways and graphs are core to modern intelligent applications. Connections in data help with personalization, recommendations, health, fraud prevention, and more. The document highlights growing adoption of graph databases and Neo4j's cloud-managed graph database service, Neo4j Aura, which provides simplicity, flexibility, reliability, and empowers faster iteration and collaboration in the cloud.
Slides: Accelerating Queries on Cloud Data Lakes
Using “zero-copy” hybrid bursting on remote data to solve data lake analytics capacity and performance problems.
Data scientists want answers on demand. But in today’s enterprise architectures, the reality is that most data remains on-prem, despite the promise of cloud-based analytics. Moving all that data to the cloud has typically not been possible for many reasons including cost, latency, and technical difficulty. So, what if there was a technology that would connect these on-prem environments to any major cloud platform, enabling high-powered computing without the need to move massive amounts of data?
Join us for this webinar where Alex Ma of Alluxio, an open-source data orchestration platform, will discuss how a data orchestration approach offers a solution for connecting traditional on-prem data centers and cloud data lakes with other clouds and data centers. With Alluxio’s “zero-copy” burst solution, companies can bridge remote data centers and data lakes with computing frameworks in other locations, enabling them to offload, compute, and leverage the flexibility, scalability, and power of the cloud for their remote data.
What's hot (20)
Vuzion Inspired Event - Highlights from Microsoft Inspire 2017
Vuzion Inspired Event - Highlights from Microsoft Inspire 2017
Platforming the Major Analytic Use Cases for Modern Engineering
Platforming the Major Analytic Use Cases for Modern Engineering
Information Asset Management in Financial Institutions: How Much Is It Really...
Information Asset Management in Financial Institutions: How Much Is It Really...
Data Centric Development: Supercharge your web & mobile application development
Data Centric Development: Supercharge your web & mobile application development
DAMA Australia: How to Choose a Data Management Tool
DAMA Australia: How to Choose a Data Management Tool
Data Integration Trends Businesses Should Watch for in 2021
Data Integration Trends Businesses Should Watch for in 2021
Harnessing the Power of Advanced Insurance Analytics Through Property Data
Harnessing the Power of Advanced Insurance Analytics Through Property Data
Foundational Strategies for Trust in Big Data Part 1: Getting Data to the Pla...
Foundational Strategies for Trust in Big Data Part 1: Getting Data to the Pla...
Case Manager for Content Management - A Customer's Perspective
Case Manager for Content Management - A Customer's Perspective
Foundational Strategies for Trust in Big Data Part 2: Understanding Your Data
Foundational Strategies for Trust in Big Data Part 2: Understanding Your Data
Master Data Management - Aligning Data, Process and Governance
Master Data Management - Aligning Data, Process and Governance
Subscribing to Your Critical Data Supply Chain - Getting Value from True Data...
Subscribing to Your Critical Data Supply Chain - Getting Value from True Data...
An Overview of the Neo4j Cloud Strategy and the Future of Graph Databases in ...
An Overview of the Neo4j Cloud Strategy and the Future of Graph Databases in ...
Similar to The Rise of The Data Scientist
Webinar: Bring Your Data to Life with Power BI-2016-01-28
Power BI, a free Microsoft program, enables anyone to get rapid actionable insights from any data, any way, anywhere. Within minutes you’ll see and experience your data in new ways that you never imagined were possible. Using natural language and simple drag-and-drop ease, you can proactively monitor key metrics, spot real-time trends and get critical alerts from personalized dashboards.
The future of tech recruiting bob melk dice
Tech recruiting continues to evolve around the use of data and information. Demand for tech talent is at an all-time high with unemployment below 2% in the tech industry. Demand is driving higher salaries across many markets. Data science is crucial for tech recruiting strategies to efficiently assess skills demand and talent supply trends. Using data insights provides employers a strategic advantage to improve candidate segmentation and guide skill development.
Corporate Sales Presentation: BDPA & ConnXus
The document summarizes a presentation given by BDPA Cincinnati to ConnXus about forming a partnership. BDPA seeks to advance African Americans in IT from education to leadership. They provide programs from computer camps for youth to networking and career development for professionals. BDPA outlined areas where they could help recruit and retain diverse talent for ConnXus. They also proposed ways for ConnXus to support BDPA's education programs in return, such as sponsoring events and providing internships.
CI or FS Poly Cleared Job Fair Handbook | February 9
The document describes a cleared job fair taking place on February 9th from 2-5:30pm at the Hyatt Dulles hotel. It provides logistics for job seekers including completing a survey for a chance to win a $100 gift card, resume reviews on a first-come first-served basis, and voting for the best recruiter.
Data Quality Success Stories
The document discusses data quality success stories and provides an overview of a program on the topic. It introduces the program, which will discuss data quality as an engineering challenge, putting a price on data quality, how components of data management complement each other, savings-based and innovation-based success stories, and non-monetary success stories. The program aims to provide takeaways and allow for questions and answers.
CI or FS Poly Cleared Job Fair Handbook | February 1
Accenture Federal Services, Arcfield, AT&T, BDO, General Dynamics - IT, Jacobs, and KBR were recruiting at a cleared job fair on February 1, 2023 from 2-5:30pm at the Westin Tysons Corner. The document provided information on each company, positions they were hiring for, and location requirements. Attendees were asked to complete a survey to provide feedback on the recruiters and be entered to win a $100 gift card. Eleccion, ManTech, and VTG Defense were not participating in-person but would receive resumes.
Sp meetup 17 slidedeck
The document summarizes a meetup event about big data and open data. It includes:
1) An agenda with multiple speakers who will discuss topics like open data definitions, examples of open data from various levels of government, and how companies can make money using open data.
2) A discussion of the differences between big data and open data, focusing on the 3 V's of big data (volume, variety, and velocity) and how open data is more static and structured.
3) A demonstration by Mark MacDonnell of SELA Canada showing how open data can be provisioned and consumed to create value-added data products and services.
Corporate Sponsorhip Presentation: Luxottica Retail
BDPA Cincinnati chapter met with Luxottica Retail in Aug 2012 to discuss corporate sponsorship. This was the deck used during that discussion.
Business Intelligence & Predictive Analytic by Prof. Lili Saghafi
It has been said that Mobiles +Cloud + Social + Big Data = Better Run The World. IBM has invested over $20 billion since 2005 to grow its analytics business, many companies will invest more than $120 billion by 2015 on analytics, hardware, software and services critical in almost every industry like ; Healthcare, media, sports, finance, government, etc.
It has been estimated that there is a shortage of 140,000 – 190,000 people with deep analytical skills to fill the demand of jobs in the U.S. by 2018.
Decoding the human genome originally took 10 years to process; now it can be achieved in one week with the power of Analytic and BI (Business Intelligence). This lecture’s Key Messages is that Analytics provide a competitive edge to individuals , companies and institutions and that Analytics and BI are often critical to the success of any organization.
Methodology used is to teach analytic techniques through real world examples and real data with this goal to convince audience of the Analytics Edge and power of BI, and inspire them to use analytics and BI in their career and their life.
Digital Futures: Courses and Careers Workshop 1
This session by the School of Computing, Engineering and Mathematics will look at the career options being unlocked by these changes as well as the courses at Western Sydney University designed to meet this new demand.
Peering Through the PDX
Choosing precise and accurate data to fulfill your business requirements can be overwhelming, time-consuming, and ultimately costly. Registration to the Precisely Data Experience grants access to the largest single repository of global location data in the cloud and it’s free! Imagine hundreds of data sets being quickly accessible when you need them and in the format to fit your environment.
Join this on-demand session as we demonstrate the following:
- How to set up your FREE Registration
- Reviewing data samples
- How to test specific data in your own environment
- Utilizing mapping tools & customizing data searches
- Additional resources & training
HOW TO BECOME AN EFFECTIVE DATA SCIENTIST (WORKSHOP) - MARC WARNER
Marc is the CEO and co-founder of ASI, a leading Data Science consultancy and training company in London. He is an Associate of the Physics Department at Harvard University, having recently been a Research Fellow based there. He has a PhD in Quantum Computing from UCL, where he is a Visiting Researcher at the London Centre for Nanotechnology. He has consulted for a range of organisations and companies, including The Houses of Parliament, The NHS, The BBC and many start-ups. His work has been published in the highest profile scientific journals, including Nature, and in the New York Times, Wired and many others.
Your Data Needs Help! How to Build Trust in Data for Better Decisions
This document summarizes a webinar on building trust in data. It provides information on the webinar format including audio streaming through computers and submitting questions. It also notes that the recording and slides will be shared after. Short polls show that the top data integrity priorities are integrating data from multiple sources and improving data quality. The document then discusses challenges in data integrity like integrating legacy systems and data from various sources. It outlines trends in machine learning, data democratization, and cloud deployments. Finally, it introduces Precisely as a company that provides data integrity software and products to ensure accuracy, consistency and context for business decisions.
Learn About BDPA Cincinnati (June 2011)
This is a document that gives a broad introduction and overview of BDPA Cincinnati chapter.
Updated: June 2011
Data Science at LinkedIn - Data-Driven Products & Insights
Talk given at Big Boulder conference hosted by Gnip in Boulder, Colorodo on June 21, 2012. This talk provides an intro to Data Science at LinkedIn, and highlights the type of roles a Data Science team can play at a data-driven company. We use data (1) to create products that truly serve our members, (2) to derive insights, and (3) to generate wisdom which enables us to take the products and company to the next level. LinkedIn's data on 160+ million professionals' careers and networks provides a fascinating playground for data scientists to discover data insights about career trends, the social web and the economy.
Getting Started in Tech
This document provides an overview of getting started in tech. It discusses how technology is impacting every industry and the growth of tech jobs. It outlines common entry-level roles for developers like front-end developer, back-end developer, and QA developer. It also describes career progression, such as becoming a senior developer or moving into roles that combine coding with other skills like product management, growth hacking, or data science. The document recommends ways for career changers to break into tech like learning skills through online resources or bootcamps, building a portfolio, networking, and preparing for technical interviews.
Video and Audio
The document discusses programmatic display, video, and audio advertising strategies and results at TechStyle Fashion Group. It summarizes their 2019 experience with video and audio, finding that video quickly achieved cost per acquisition goals while programmatic audio inventory was more limited. Both opportunities and challenges are discussed, including the potential of connected devices and data in the future, as well as ensuring privacy and trust as technologies advance.
Data Science: A Comprehensive Overview
Facts of Data Generation
Evolution Data Science
Modern Data Architecture
Applications of Data Science
Getting started in tech (6 21)
This document provides an overview of getting started in a tech career. It defines what tech careers encompass, discusses in-demand first jobs like frontend developer and QA developer. It then outlines common career trajectories like becoming a senior developer or moving into roles that combine coding with other skills like product management, growth hacking, or data science. The document also discusses how to break into tech through learning skills, building a portfolio, networking, and preparing for interviews. It emphasizes that the tech industry has massive job shortages and hiring is based on skills rather than credentials.
Ellicium's Gadfly - Next Generation Big Data Text Analytics Platform
Ellicium's Gadfly is next generation Big Data text analytics platform.
Gadfly uses following data to derive insights:
1) Social Media Data
2) Email Exchange Data
3) Legal And Contractual Documents
4) Interview Text
5) Customer Review
6) Medical Transcripts
Gadfly use cases:
- Social media based lending scorecards
- Classification of legal, contractual and medical documents
- Automated monitoring of government regulations
- Achieving Regulatory Compliance leveraging large Text Data
- Analysis of Large Set of Documents
- Augment customer analytics with insights from unstructured data
- New product feature recognition
- Social Media Sentiments for businesses
Similar to The Rise of The Data Scientist (20)
Webinar: Bring Your Data to Life with Power BI-2016-01-28
Webinar: Bring Your Data to Life with Power BI-2016-01-28
CI or FS Poly Cleared Job Fair Handbook | February 9
CI or FS Poly Cleared Job Fair Handbook | February 9
CI or FS Poly Cleared Job Fair Handbook | February 1
CI or FS Poly Cleared Job Fair Handbook | February 1
Corporate Sponsorhip Presentation: Luxottica Retail
Corporate Sponsorhip Presentation: Luxottica Retail
Business Intelligence & Predictive Analytic by Prof. Lili Saghafi
Business Intelligence & Predictive Analytic by Prof. Lili Saghafi
HOW TO BECOME AN EFFECTIVE DATA SCIENTIST (WORKSHOP) - MARC WARNER
HOW TO BECOME AN EFFECTIVE DATA SCIENTIST (WORKSHOP) - MARC WARNER
Your Data Needs Help! How to Build Trust in Data for Better Decisions
Your Data Needs Help! How to Build Trust in Data for Better Decisions
Data Science at LinkedIn - Data-Driven Products & Insights
Data Science at LinkedIn - Data-Driven Products & Insights
Ellicium's Gadfly - Next Generation Big Data Text Analytics Platform
Ellicium's Gadfly - Next Generation Big Data Text Analytics Platform
More from Precisely
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
AI-Ready Data - The Key to Transforming Projects into Production.pptx
Moving AI projects from the laboratory to production requires careful consideration of data preparation. Join us for a fireside chat where industry experts, including Antonio Cotroneo (Director, Product Marketing, Precisely) and Sanjeev Mohan (Principal, SanjMo), will discuss the crucial role of AI-ready data in achieving success in AI projects. Gain essential insights and considerations to ensure your AI solutions are built on a solid foundation of accurate, consistent, and context-rich data. Explore practical insights and learn how data integrity drives innovation and competitive advantage. Transform your approach to AI with a focus on data readiness.
Building a Multi-Layered Defense for Your IBM i Security
In today's challenging security environment, new vulnerabilities emerge daily, leaving even patched systems exposed. While IBM works tirelessly to release fixes as they discover vulnerabilities, bad actors are constantly innovating. Don't settle for reactive defense – secure your IT with a layered approach!
This holistic strategy builds multiple security walls, making it far harder for attackers to breach your defenses. Even if a certain vulnerability is exploited, one of the controls could stop the attack or at least delay it until you can take action.
Join us for this webcast to hear about:
• How security risks continue to evolve and change
• The importance of keeping all your systems patched an up-to-date
• A multi-layered approach to network, system object and data security
Navigating the Cloud: Best Practices for Successful Migration
In today's digital landscape, migrating workloads and applications to the cloud has become imperative for businesses seeking scalability, flexibility, and efficiency. However, executing a seamless transition requires strategic planning and careful execution. Join us as we delve into the insightful insights around cloud migration, where we will explore three key topics:
i. Considerations to take when planning for cloud migration
ii. Best practices for successfully migrating to the cloud
iii. Real-world customer stories
Unlocking the Power of Your IBM i and Z Security Data with Google Chronicle
In today's ever-evolving threat landscape, any siloed systems, or data leave organizations vulnerable. This is especially true when mission-critical systems like IBM i and IBM Z mainframes are not included in your security planning. Valuable security data from these systems often remains isolated, hindering your ability to detect and respond to threats effectively.
Ironstream and bridge this gap for IBM systems by integrating the important security data from these mission-critical systems into Google Chronicle where it can be seen, analyzed and correlated with the data from other enterprise systems Here's what you'll learn:
• The unique challenges of securing IBM i and Z mainframes
• Why traditional security tools fall short for mainframe data
• The power of Google Chronicle for unified security intelligence
• How to gain comprehensive visibility into your entire IT ecosystem
• Real-world use cases for integrating IBM i and Z security data with Google Chronicle
Join us for this webcast to hear about:
• The unique challenges of securing IBM i and IBM Z systems
• Real-world use cases for integrating IBM i and IBM Z security data with Google Chronicle
• Combining Ironstream and Google Chronicle to deliver faster threat detection, investigation, and response times
Unlocking the Potential of the Cloud for IBM Power Systems
Are you considering leveraging the cloud alongside your existing IBM AIX and IBM I systems infrastructure? There are likely benefits to be realized in scalability, flexibility and even cost.
However, to realize these benefits, you need to be aware of the challenges and opportunities that come with integrating your IBM Power Systems in the cloud. These challenges range from data synchronization to testing to planning for fallback in the event of problems.
Join us for this webcast to hear about:
• Seamless migration strategies
• Best practices for operating in the cloud
• Benefits of cloud-based HA/DR for IBM AIX and IBM i
Crucial Considerations for AI-ready Data.pdf
This document discusses the importance of ensuring data is ready for AI applications. It notes that while most businesses invest in AI, only 4% of organizations say their data is truly AI-ready. It identifies several issues that can arise from using bad data for AI, including bias, poor performance, and inaccurate predictions. The document advocates for establishing strong data governance, quality practices, and integration capabilities to address issues like completeness, validity, and bias. It provides examples of how two companies leveraged these approaches to enhance their AI and machine learning models. The document emphasizes that achieving trusted AI requires a focus on data integrity throughout the data journey from generation to activation.
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
This document discusses how to empower businesses through worry-free data processing. Key steps include collecting and organizing relevant business data, developing efficient processes for analyzing and interpreting the data, and using insights from the data to help businesses make better decisions and improve their operations in a sustainable way over time.
Justifying Capacity Managment Webinar 4/10
It can be challenging display and share capacity data that is meaningful to end users. There is an overabundance of data points related to capacity, and the summarization of this data is difficult to construct and display.
You are already spending time and money to handle the critical need to manage systems capacity, performance and estimate future needs. Are you it spending wisely? Are you getting the level of results from your investment that you really need? Can you prove it?
The good news is that the return on investment of implementing capacity management and capacity planning is most definitely positive and provable, both in terms of tangible monetary value and in some less tangible but no-less-valuable benefits.
Join us for this webinar and learn:
• Top Trends in Capacity Management
• Common customer pain points
• Ways to demonstrate these benefits to your company
Automate Studio Training: Materials Maintenance Tips for Efficiency and Ease ...
Ready to improve efficiency, provide easy to use data automations and take materials master (MM) data maintenance to the next level?
Find out how during our Automate Studio training on March 28 – led by Sigrid Kok, Principal Sales Engineer, and Isra Azam, Sales Engineer, at Precisely.
This session’s for you if you want to discover the best approaches for creating, extending or maintaining different types of materials, as well as automating the tricky parts of these processes that slow you down.
Greater control over your Automate Studio business processes means bigger, better results. We’ll show you how to enable your business users to interact with SAP from Microsoft Office and other familiar platforms – resulting in more efficient SAP data management, along with improved data integrity and accuracy.
This 90-minute session will be filled with a variety of topics, including:
real world approaches for creating multiple types of materials, balancing flexibility and power with simplicity and ease of use
tips on material creation, including
downloading the generated material number
using formulas to format prior to upload, such as capitalization or zero padding to make it easy to get the data right the first time
conditionally require fields based on other field entries
using LOV for fields that are free form entry for standard values
tips on modifying alternate units of measure, building from scratch using GUI scripting
modify multiple language descriptions, build from scratch using a standard BAPI
make end-to-end MM process flows more of a reality with features including APIs and predictive AI
Through these topics, you’ll gain plenty of actionable takeaways that you can start implementing right away – including how to:
improve your data integrity and accuracy
make scripts flexible and usable for automation users
seamlessly handle both simple and complex parts of material master
interact with SAP from both business user and script developers’ perspectives
easily upload and download data between SAP and Excel – and how to format the data before upload using simple formulas
You’ll leave this session feeling ready and empowered to save time, boost efficiency, and change the way you work.
Automate Studio reduces your dependency on technical resources to help you create automation scenarios – and our team of experts is here to make sure you get the most out of our solution throughout the journey.
Questions? Sigrid & Isra will be ready to answer them during a live Q&A at the end of the session.
Who should attend:
Attendees who will get the most out of this session are Automate Studio developers and runners familiar with SAP MM. Knowledge of Automate Studio script creation is nice to have, but not required.
Leveraging Mainframe Data in Near Real Time to Unleash Innovation With Cloud:...
Join us for an insightful roundtable discussion featuring experts from AWS, Confluent, and Precisely as they delve into the complexities and opportunities of migrating mainframe data to the cloud.
In this engaging webinar, participants will learn about the various considerations, strategies, and customer challenges associated with replicating mainframe data to cloud environments.
Our panelists will share practical insights, real-world experiences, and best practices to help organizations successfully navigate this transformative journey.
Whether you're considering migrating and modernizing your mainframe applications to cloud, or augmenting mainframe-based applications with data replication to cloud, this roundtable will provide valuable perspectives and insights to maximize the benefits of migrating mainframe data to the cloud.
Join us on March 27 to gain a deeper understanding of the opportunities and challenges in this evolving landscape.
Data Innovation Summit: Data Integrity Trends
Data integrity remains an evolving process of discovery, identification, and resolution. With an all-time low in public confidence on data being used for decision-making, attention has gradually shifted to data quality and data integration across multiple systems and frameworks. Data integrity becomes a focal point again for companies to make strategic moves in a world facing an evolving economy.
Key takeaways:
· How to build a data-driven culture within your organization
· Tips to engage with key stakeholders in your business and examples from other businesses around the world
· How to establish and maintain a business-first approach to data governance
· A summary of the findings from a recent survey of global data executives by Drexel University's LeBow College of Business
AI You Can Trust - Ensuring Success with Data Integrity Webinar
Artificial Intelligence (AI) has become a strategic imperative in a rapidly evolving business landscape. However, the rush to embrace AI comes with risks, as illustrated by instances of AI-generated content with fake citations and potentially dangerous recommendations. The critical factor underpinning trustworthy AI is data integrity, ensuring data is accurate, consistent, and full of rich context.
Attend our upcoming webinar, "AI You Can Trust: Ensuring Success with Data Integrity," as we explore organizational challenges in maintaining data integrity for AI applications and real-world use cases showcasing the transformative impact of high-integrity data on AI success.
During this panel discussion, we'll highlight everything from personalized recommendations and AI-powered workflows to machine learning applications and innovative AI assistants.
Key Topics:
AI Use Cases with Data Integrity: Discover how data integrity shapes the success of AI applications through six compelling use cases.
Solving AI Challenges: Uncover practical solutions to common AI challenges such as bias, unreliable results, lack of contextual relevance, and inadequate data security.
Three Considerations of Data Integrity for AI: Learn the essential pillars—complete, trusted, and contextual—that underpin data integrity for AI success.
Precisely and AWS Partnership: Explore how the collaboration between Precisely and Amazon Web Services (AWS) addresses these challenges and empowers organizations to achieve AI-ready data.
Join our panelists to unlock the full potential of AI by starting your data integrity journey today. Trust in AI begins with trusted data – let's future-proof your AI together.
Less Bias. More Accurate. Relevant Outcomes.
More from Precisely (20)
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
信頼できるデータでESGイニシアチブを成功に導く方法.pdf How to drive success with ESG initiatives with...
信頼できるデータでESGイニシアチブを成功に導く方法.pdf How to drive success with ESG initiatives with...
AI-Ready Data - The Key to Transforming Projects into Production.pptx
AI-Ready Data - The Key to Transforming Projects into Production.pptx
Building a Multi-Layered Defense for Your IBM i Security
Building a Multi-Layered Defense for Your IBM i Security
Optimierte Daten und Prozesse mit KI / ML + SAP Fiori.pdf
Optimierte Daten und Prozesse mit KI / ML + SAP Fiori.pdf
Chaining, Looping, and Long Text for Script Development and Automation.pdf
Chaining, Looping, and Long Text for Script Development and Automation.pdf
Revolutionizing SAP® Processes with Automation and Artificial Intelligence
Revolutionizing SAP® Processes with Automation and Artificial Intelligence
Navigating the Cloud: Best Practices for Successful Migration
Navigating the Cloud: Best Practices for Successful Migration
Unlocking the Power of Your IBM i and Z Security Data with Google Chronicle
Unlocking the Power of Your IBM i and Z Security Data with Google Chronicle
How to Build Data Governance Programs That Last - A Business-First Approach.pdf
How to Build Data Governance Programs That Last - A Business-First Approach.pdf
Zukuntssichere SAP Prozesse dank automatisierter Massendaten
Zukuntssichere SAP Prozesse dank automatisierter Massendaten
Unlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power Systems
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Automate Studio Training: Materials Maintenance Tips for Efficiency and Ease ...
Automate Studio Training: Materials Maintenance Tips for Efficiency and Ease ...
Leveraging Mainframe Data in Near Real Time to Unleash Innovation With Cloud:...
Leveraging Mainframe Data in Near Real Time to Unleash Innovation With Cloud:...
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity Webinar
Recently uploaded
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
dbms calicut university B. sc Cs 4th sem.pdf
Its a seminar ppt on database management system using sql
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
A Comprehensive Guide to DeFi Development Services in 2024
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Digital Marketing Trends in 2024 | Guide for Staying Ahead
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Recently uploaded (20)
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
A Comprehensive Guide to DeFi Development Services in 2024
A Comprehensive Guide to DeFi Development Services in 2024
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
WeTestAthens: Postman's AI & Automation Techniques
WeTestAthens: Postman's AI & Automation Techniques
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: Getting Funded with Jason Jason Lemkin Founder & CEO @ SaaStr
Deep Dive: Getting Funded with Jason Jason Lemkin Founder & CEO @ SaaStr
The Rise of The Data Scientist
- 1. The Rise of the Data Scientist
- 2. Housekeeping Webinar Audio • Today’s webcast audio is streamed throughyour computer speakers • If you need technical assistance with the web interface or audio, please reachout to us using the Q&Abox Questions Welcome • Submit your questions at anytime during the presentation using the Q&Abox. If we using the Q&Abox. If we don't get to your question, wewill follow-up via email
- 3. Today’s speakers 3 Moderator Jess Willis SeniorDirector DataProductMarketing Precisely Presenter BrandyFreitas SeniorDataScientist Precisely Presenter Anthony Scriffignano,Ph.D SVP, Chief Data Scientist Dun & Bradstreet
- 4. *2020: Bureau of Labor Statistics Data science is in the top 20 fastest growing occupations*with 31% projected growth over the next 10 years
- 6. Thenext generation of data scientists
- 7. Topresources for data scientists to upskilland build community
- 9. Thank you
Editor's Notes
- While companies’ awareness of the untapped potential of their data grows, so too does the dependency on data science – one of the most in demand skillsets and growing fields in the world. As companies wrestle with unprecedented volumes and types of data, demand for data experts has raced well ahead of supply
- Talk about Job security now and in the future: Challenges Let’s talk a bit about your most common challenges and how some of those things can be overcome.