This document discusses how big data analytics can provide insights from large amounts of structured and unstructured data. It provides examples of how big data has helped organizations reduce customer churn, improve customer acquisition, speed up loan approvals, and detect fraud. The document also outlines IBM's big data platform and analytics process for extracting value from large, diverse data sources.
Data Driven Decisions - Big Data Warehousing Meetup, FICOCaserta
Predictive analytics has always been about the future, and the age of big data has made that future an increasingly dynamic place, filled with opportunity and risk.
The evolution of advanced analytics technologies and the continual development of new analytical methodologies can help to optimize financial results, enable systems and services based on machine learning, obviate or mitigate fraud and reduce cybersecurity risks, among many other things.
Caserta Concepts, Zementis, and guest speaker from FICO presented the strategies, technologies and use cases driving predictive analytics in a big data environment.
For more information, visit www.casertaconcepts.com or contact us at info@casertaconcepts.com
The Big Picture: Real-time Data is Defining Intelligent OffersCloudera, Inc.
New research shows that 57% of the buying cycle is completed before a prospect even speaks to a company. Marketers already know this, Ninety-six percent (96%) of organizations believe that email personalization can improve email marketing performance. But where do we get this increasingly personal direction? The answer is likely in your customer data. In order to understand your customer needs contextualized in the moment they feel the need to act you will require a platform that can leverage real-time data. Apache Kudu is a Cloudera component that makes dealing with quickly changing data fast and easy. Companies are leveraging next generation data stores like Kudu to build data applications that deliver smart promotions, real-time offers, and personalized marketing. Join us as we discuss modern approaches to real-time application development and highlight key Cloudera use cases being powered by Cloudera’s operational database.
You can view the full presentation of this webinar here: http://info.datameer.com/Slideshare-Fighting-Fraud-this-Holiday-Season.html
In 2012, retailers lost $3.5 billion in revenue to online fraud. These losses spike by a substantial estimated 20% during the holiday season.
Join Datameer and Hortonworks in this webinar to learn how Big Data Analytics can be used to identify new fraud schemes during peak fraud season.
In this webinar, you will learn about:
current challenges in identifying fraud
what to look for in a big data solution addressing fraud
how big data analytics can identify credit card fraud
best practices
Changing audience expectations means your marketing message needs to be consistent, in context, personal and relevant, irrespective of what channel your listener uses. Without it, your customer sales, retention, spend and lifetime value all suffer. So, you market, yet which marketing channel is most effective? To understand and anticipate your audience’ needs, you need a real-time 360-degree customer view. Creating it requires torrents of new, structured as well as unstructured data in addition to the means to derive insight from it. That’s where most organisations falter.
Data is being generated at a feverish pace and forward thinking companies are integrating big data and analytics as part of their core strategy from day one. However, it is often hard to sift through the hype around big data and many companies start with only a small subset of data. Can smaller companies benefit from big data efforts? We will discuss several use cases and examples of how startups are using data to optimize their operations, connect with their users, and expand their market.
Data Driven Decisions - Big Data Warehousing Meetup, FICOCaserta
Predictive analytics has always been about the future, and the age of big data has made that future an increasingly dynamic place, filled with opportunity and risk.
The evolution of advanced analytics technologies and the continual development of new analytical methodologies can help to optimize financial results, enable systems and services based on machine learning, obviate or mitigate fraud and reduce cybersecurity risks, among many other things.
Caserta Concepts, Zementis, and guest speaker from FICO presented the strategies, technologies and use cases driving predictive analytics in a big data environment.
For more information, visit www.casertaconcepts.com or contact us at info@casertaconcepts.com
The Big Picture: Real-time Data is Defining Intelligent OffersCloudera, Inc.
New research shows that 57% of the buying cycle is completed before a prospect even speaks to a company. Marketers already know this, Ninety-six percent (96%) of organizations believe that email personalization can improve email marketing performance. But where do we get this increasingly personal direction? The answer is likely in your customer data. In order to understand your customer needs contextualized in the moment they feel the need to act you will require a platform that can leverage real-time data. Apache Kudu is a Cloudera component that makes dealing with quickly changing data fast and easy. Companies are leveraging next generation data stores like Kudu to build data applications that deliver smart promotions, real-time offers, and personalized marketing. Join us as we discuss modern approaches to real-time application development and highlight key Cloudera use cases being powered by Cloudera’s operational database.
You can view the full presentation of this webinar here: http://info.datameer.com/Slideshare-Fighting-Fraud-this-Holiday-Season.html
In 2012, retailers lost $3.5 billion in revenue to online fraud. These losses spike by a substantial estimated 20% during the holiday season.
Join Datameer and Hortonworks in this webinar to learn how Big Data Analytics can be used to identify new fraud schemes during peak fraud season.
In this webinar, you will learn about:
current challenges in identifying fraud
what to look for in a big data solution addressing fraud
how big data analytics can identify credit card fraud
best practices
Changing audience expectations means your marketing message needs to be consistent, in context, personal and relevant, irrespective of what channel your listener uses. Without it, your customer sales, retention, spend and lifetime value all suffer. So, you market, yet which marketing channel is most effective? To understand and anticipate your audience’ needs, you need a real-time 360-degree customer view. Creating it requires torrents of new, structured as well as unstructured data in addition to the means to derive insight from it. That’s where most organisations falter.
Data is being generated at a feverish pace and forward thinking companies are integrating big data and analytics as part of their core strategy from day one. However, it is often hard to sift through the hype around big data and many companies start with only a small subset of data. Can smaller companies benefit from big data efforts? We will discuss several use cases and examples of how startups are using data to optimize their operations, connect with their users, and expand their market.
Optimizing Regulatory Compliance with Big DataCloudera, Inc.
3 Things to Learn:
-There are many challenges in the way financial firms deal with regulatory compliance today
-Some of these challenges are related to data management and can be solved by big data technologies
-Cloudera and its partners Trifacta and Qlik are offering a solution that can accelerate the time to obtain compliance reports by using automated workflows and fast analytics that work on top of Cloudera’s Enterprise Data Hub.
Increase your ROI with Hadoop in Six Months - Presented by Dell, Cloudera and...Cloudera, Inc.
Are you struggling to validate the added costs of a Hadoop implementation? Are you struggling to manage your growing data?
The costs of implementing Hadoop may be more beneficial than you anticipate. Dell and Intel recently commissioned a study with Forrester Research to determine the Total Economic Impact of the Dell | Cloudera Apache Hadoop Solution, accelerated by Intel. The study determined customers can see a 6-month payback when implementing the Dell | Cloudera solution.
Join Dell, Intel and Cloudera, three big data market leaders, to understand how to begin a simplified and cost-effective big data journey and to hear case studies that demonstrate how users have benefited from the Dell | Cloudera Apache Hadoop Solution.
Unlock Data-driven Insights in Databricks Using Location IntelligencePrecisely
Today’s data-driven organisations are turning to Databricks for a cloud-based, open, unified platform for data and AI. Yet many companies struggle to unlock the value of the data they have in Databricks. To capitalise on the promise of a competitive edge through increased efficiency and insight, data scientists are turning to location to make sense of massive volumes of business data.
Watch this on-demand to hear from The Spatial Distillery Co. and Databricks on how to leverage advanced location intelligence and enrichment solutions in Databricks to:
- Simplify the complexity of location data and transform it into valuable insights
- Enrich data with thousands of attributes for better, more accurate analytics, AI, and ML models
- Leverage the power of Databricks to integrate geospatial data into business processes for real-time answers
- Create more meaningful and timely customer interactions by streamlining customer-facing and operational tasks
Foundational Strategies for Trusted Data: Getting Your Data to the CloudPrecisely
To trust your reporting, analytics, and ML outcomes, you must have access to all the data required for confident decision-making. In this on-demand session we’ll explore strategies for breaking data out of silos and getting it into the cloud – with an emphasis on integrating data from complex legacy systems.
This webinar featuring Claudia Imhoff, President of Intelligent Solutions & Founder of the Boulder BI Brain Trust (BBBT), Matt Schumpert, Director of Product Management and Azita Martin, CMO at Datameer, will highlight the latest technology trends in extending BI with big data analytics and the top high impact use cases.
Attendees will hear about:
-- The extended architecture for today's modern analytics environment
-- The Internet of Things (IoT) and big data
-- The evolution of analytics – from descriptive to prescriptive
-- High impact use cases as a result of the changing analytics world
IBM i is securable BUT not secured by default. To help protect your organization from the increasing security threats, you must take control of all access points to your IBM i server. You can limit IBM i security threats by routinely assessing your risks and taking control of logon security, powerful authorities, and system access.
With the right tools and process, you can assure comprehensive control of unauthorized access and can trace any activity, suspicious or otherwise, on your IBM i systems.
Watch this on-demand webcast to learn:
• How to secure network access and communication ports
• How to implement different authentication options and tradeoffs
• How to limit the number of privileged user accounts
• How Precisely’s Assure Security can help
Customer Experience: A Catalyst for Digital TransformationCloudera, Inc.
Customer experience is a catalyst in many digital transformation projects. It is why many businesses invest in new technologies and processes to more effectively engage customers, constituents, or employees. The goal of putting digital tools to work in a transformative way is to ensure that data and insights connect people with information and processes that ultimately lead to a better experience for customers. Yet, it demands a modern approach that considers all of the platforms, processes, and data across the customer journey. The goal for many organizations is dynamically maintaining a single source of truth about each customer to drive personalized experiences based on individual preferences and behaviors.
However, businesses today have primarily invested in systems of record. While these systems are critical for managing internal operational processes, they are typically not effective for today's pace of business change. Insight-driven experiences require customer intelligence platforms that can finally create a customer 360. The deeper data and improved algorithms now available let users factor in individual affinity, segment, and a myriad of growing data sources. The result is greater relevance and effectiveness to deliver a differentiated experience that in today’s competitive landscape is not a luxury, but a necessity for survival.
In this session we will address:
3 things to learn:
•Leaders and Laggards of digital transformation
•How to create data-driven customer insights
•The importance of machine learning to uncover hidden insights
GDPR: 20 Million Reasons to get ready - Part 1: Preparing for complianceCloudera, Inc.
The first webinar of the series starts at the beginning: preparing for GDPR compliance. In this session, we look at how technology and process come together to let organisations get to grips with the GDPR relevant data that flows around their companies and work towards compliance. We will give you practical examples on how to apply data discovery, data minimisation, data protection and security as well as the role of the record of processing in this.
Perspectives on Ethical Big Data GovernanceCloudera, Inc.
Enterprise data governance is a critical, yet challenging, business process, and the rapidly expanding universe of data volumes and types make it a more significant undertaking, particularly for public sector organizations. In this session, attendees will learn how to bring comprehensive data governance to their organizations to ensure data collected and managed is handled and protected as required. Discover practical information on how to use the components and frameworks of the Hadoop stack to support your requirements for data auditing, lineage, metadata management, and policy enforcement, and hear recommendations on how to get started with measuring the progress of ethical big data usage--including what’s legal and what’s right. Bring your questions and join this lively, interactive dialogue.
No fewer than 80% have digital transformation at the centre of their corporate strategy with the aim of improving efficiency, driving innovation and becoming more agile. Though it's clear that insight into the data they hold is going to help them get there, many organisations find themselves at a crossroads. Big data, machine learning, data science: these are all initiatives every company knows they should take on in order to evolve their business, yet few know how to tackle the projects for successful outcomes.
Just a few years back, artificial intelligence meant adaptions like Jarvis. Who would have thought that AI would soon become an application of our daily lives?
Artificial intelligence has the potential to streamline several business processes, analyze data for insights, and help in building fruitful business strategies. Hence, globally, it is being used to remediate old processes, invent new methods, and improve productivity.
HP Mobility Perspective at the Mobile World Congress 2014 in BarcelonaPronq by HP
HP Mobility Perspective - presented by Dr. Alberto Torres, Senior Vice President, Pan-HP Mobility
Enterprise mobility is becoming critical for businesses. HP is innovating and offering solutions across the stack.
Unlocking Greater Insights with Integrated Data Quality for CollibraPrecisely
Data is arguably your company’s greatest asset, and a thoughtful data governance strategy, along with robust tools like Collibra Data Governance Center (DGC), is essential to getting the most value from that data. However, even the best data governance programs will falter without data quality.
Data governance systems provide a framework for the policies, processes, rules, roles and responsibilities that help you manage your enterprise data. But they don’t give you insight into the characteristics and quality of that data – such as errors, outliers and issues – nor how the data changes over time.
During this webinar, we discuss how seamlessly integrating Trillium DQ with Collibra DGC creates a complete data governance solution that delivers rapid insights into the health of your data, ensuring trust and compliance with organizational policies and plans. We demonstrate how data is automatically exchanged between the tools so users can:
• Quickly establish the rules needed to support policies
• Evaluate their data against those rules on an ongoing basis
• Identify problems or improvements with their data quality to take action
Moving from data to insights: How to effectively drive business decisions & g...Cloudera, Inc.
Firms have become obsessed with data. But the key to competitive advantage is not just more or bigger data or big data technology, it is finding actionable insights from all the data as well as embedding insight in processes and applications. This requires a change in your approach - modernized architecture and embedding insights and data in you business decisions It also requires a change in how your people work systematically to find, test and implement insights. In this webinar, Forrester Vice President and Principal Analyst Brian Hopkins will present results from two years of research into these ideas and recommend to attendees how they can get the most out of their data and analytics to drive effective business decisions and gain competitive advantage.
Building the Next Generation IoT & Telematics PlatformCloudera, Inc.
IoT is fundamentally revolutionizing the automotive insurance space, by enabling insurers to gain powerful insights into the behavior, risk, and habits of individual drivers.
With over 180 Billion miles of driving data analyzed from connected cars, Octo Telematics has emerged as the leading global provider of telematics and data analytics solutions for the auto insurance industry.
Join Cloudera, Ovum and Octo Telematics for a joint webinar to learn more about how Octo built their next generation IoT & Telematics platform. In this session, Jonathan, the Global Chief Marketing Officer of Octo will share their transformational journey into how they are building the world’s largest insurance telematics database powered by analytics and machine learning.
As part of this webinar you can learn more about:
Octo’s transformation to the Next Generation Platform (NGP) for Telematics & IoT
How they process and analyze data from 5.4 million connected cars every day
How Octo implemented the data management and analytics infrastructure
How they are using machine learning to analyze risks and driving behavior
3 things to learn:
Octo’s transformation to the Next Generation Platform (NGP) for Telematics & IoT
How they process and analyze data from 5.4 million connected cars every day
How Octo implemented the data management and analytics infrastructure
Webinar - Real-Time Customer Experience for the Right-Now Enterprise featurin...DataStax
Welcome to the Right-Now Economy. To win in the Right-Now Economy, your enterprise needs to be able to provide delightful, always-on, instantaneously responsive applications via a data layer that can handle data rapidly, in real time, and at cloud scale. Don’t miss our upcoming webinar in which Forrester Principal Analyst Brendan Witcher will discuss why a singular, contextual, 360-degree view of the customer in real-time is critical to CX success and how companies are using data to deliver real-time personalization and recommendations.
View recording: https://youtu.be/e6prezfIGMY
Explore all DataStax webinars: https://www.datastax.com/resources/webinars
Transform Your Business with Supply Chain AI and a Modern InfrastructureOnRamp
The era of digital transformation is here, and if you’re running your business on outdated technology, you won’t be able to remain competitive. Learn how Artificial Intelligence (AI) is used to enhance business processes and human productivity, and what hurdles are keeping organizations like you from implementing these solutions.
Learn how Artificial Intelligence is used to enhance business processes and human productivity
Best practices for setting up an AI-friendly infrastructure
Understand your hosting and management options
Hear real-world examples of how LightEdge is helping optimize manufacturer’s IBM i
Kiji cassandra la june 2014 - v02 clint-kellyData Con LA
Big Data Camp LA 2014, Don't re-invent the Big-Data Wheel, Building real-time, Big Data applications on Cassandra with the open-source Kiji project by Clint Kelly of Wibidata
Optimizing Regulatory Compliance with Big DataCloudera, Inc.
3 Things to Learn:
-There are many challenges in the way financial firms deal with regulatory compliance today
-Some of these challenges are related to data management and can be solved by big data technologies
-Cloudera and its partners Trifacta and Qlik are offering a solution that can accelerate the time to obtain compliance reports by using automated workflows and fast analytics that work on top of Cloudera’s Enterprise Data Hub.
Increase your ROI with Hadoop in Six Months - Presented by Dell, Cloudera and...Cloudera, Inc.
Are you struggling to validate the added costs of a Hadoop implementation? Are you struggling to manage your growing data?
The costs of implementing Hadoop may be more beneficial than you anticipate. Dell and Intel recently commissioned a study with Forrester Research to determine the Total Economic Impact of the Dell | Cloudera Apache Hadoop Solution, accelerated by Intel. The study determined customers can see a 6-month payback when implementing the Dell | Cloudera solution.
Join Dell, Intel and Cloudera, three big data market leaders, to understand how to begin a simplified and cost-effective big data journey and to hear case studies that demonstrate how users have benefited from the Dell | Cloudera Apache Hadoop Solution.
Unlock Data-driven Insights in Databricks Using Location IntelligencePrecisely
Today’s data-driven organisations are turning to Databricks for a cloud-based, open, unified platform for data and AI. Yet many companies struggle to unlock the value of the data they have in Databricks. To capitalise on the promise of a competitive edge through increased efficiency and insight, data scientists are turning to location to make sense of massive volumes of business data.
Watch this on-demand to hear from The Spatial Distillery Co. and Databricks on how to leverage advanced location intelligence and enrichment solutions in Databricks to:
- Simplify the complexity of location data and transform it into valuable insights
- Enrich data with thousands of attributes for better, more accurate analytics, AI, and ML models
- Leverage the power of Databricks to integrate geospatial data into business processes for real-time answers
- Create more meaningful and timely customer interactions by streamlining customer-facing and operational tasks
Foundational Strategies for Trusted Data: Getting Your Data to the CloudPrecisely
To trust your reporting, analytics, and ML outcomes, you must have access to all the data required for confident decision-making. In this on-demand session we’ll explore strategies for breaking data out of silos and getting it into the cloud – with an emphasis on integrating data from complex legacy systems.
This webinar featuring Claudia Imhoff, President of Intelligent Solutions & Founder of the Boulder BI Brain Trust (BBBT), Matt Schumpert, Director of Product Management and Azita Martin, CMO at Datameer, will highlight the latest technology trends in extending BI with big data analytics and the top high impact use cases.
Attendees will hear about:
-- The extended architecture for today's modern analytics environment
-- The Internet of Things (IoT) and big data
-- The evolution of analytics – from descriptive to prescriptive
-- High impact use cases as a result of the changing analytics world
IBM i is securable BUT not secured by default. To help protect your organization from the increasing security threats, you must take control of all access points to your IBM i server. You can limit IBM i security threats by routinely assessing your risks and taking control of logon security, powerful authorities, and system access.
With the right tools and process, you can assure comprehensive control of unauthorized access and can trace any activity, suspicious or otherwise, on your IBM i systems.
Watch this on-demand webcast to learn:
• How to secure network access and communication ports
• How to implement different authentication options and tradeoffs
• How to limit the number of privileged user accounts
• How Precisely’s Assure Security can help
Customer Experience: A Catalyst for Digital TransformationCloudera, Inc.
Customer experience is a catalyst in many digital transformation projects. It is why many businesses invest in new technologies and processes to more effectively engage customers, constituents, or employees. The goal of putting digital tools to work in a transformative way is to ensure that data and insights connect people with information and processes that ultimately lead to a better experience for customers. Yet, it demands a modern approach that considers all of the platforms, processes, and data across the customer journey. The goal for many organizations is dynamically maintaining a single source of truth about each customer to drive personalized experiences based on individual preferences and behaviors.
However, businesses today have primarily invested in systems of record. While these systems are critical for managing internal operational processes, they are typically not effective for today's pace of business change. Insight-driven experiences require customer intelligence platforms that can finally create a customer 360. The deeper data and improved algorithms now available let users factor in individual affinity, segment, and a myriad of growing data sources. The result is greater relevance and effectiveness to deliver a differentiated experience that in today’s competitive landscape is not a luxury, but a necessity for survival.
In this session we will address:
3 things to learn:
•Leaders and Laggards of digital transformation
•How to create data-driven customer insights
•The importance of machine learning to uncover hidden insights
GDPR: 20 Million Reasons to get ready - Part 1: Preparing for complianceCloudera, Inc.
The first webinar of the series starts at the beginning: preparing for GDPR compliance. In this session, we look at how technology and process come together to let organisations get to grips with the GDPR relevant data that flows around their companies and work towards compliance. We will give you practical examples on how to apply data discovery, data minimisation, data protection and security as well as the role of the record of processing in this.
Perspectives on Ethical Big Data GovernanceCloudera, Inc.
Enterprise data governance is a critical, yet challenging, business process, and the rapidly expanding universe of data volumes and types make it a more significant undertaking, particularly for public sector organizations. In this session, attendees will learn how to bring comprehensive data governance to their organizations to ensure data collected and managed is handled and protected as required. Discover practical information on how to use the components and frameworks of the Hadoop stack to support your requirements for data auditing, lineage, metadata management, and policy enforcement, and hear recommendations on how to get started with measuring the progress of ethical big data usage--including what’s legal and what’s right. Bring your questions and join this lively, interactive dialogue.
No fewer than 80% have digital transformation at the centre of their corporate strategy with the aim of improving efficiency, driving innovation and becoming more agile. Though it's clear that insight into the data they hold is going to help them get there, many organisations find themselves at a crossroads. Big data, machine learning, data science: these are all initiatives every company knows they should take on in order to evolve their business, yet few know how to tackle the projects for successful outcomes.
Just a few years back, artificial intelligence meant adaptions like Jarvis. Who would have thought that AI would soon become an application of our daily lives?
Artificial intelligence has the potential to streamline several business processes, analyze data for insights, and help in building fruitful business strategies. Hence, globally, it is being used to remediate old processes, invent new methods, and improve productivity.
HP Mobility Perspective at the Mobile World Congress 2014 in BarcelonaPronq by HP
HP Mobility Perspective - presented by Dr. Alberto Torres, Senior Vice President, Pan-HP Mobility
Enterprise mobility is becoming critical for businesses. HP is innovating and offering solutions across the stack.
Unlocking Greater Insights with Integrated Data Quality for CollibraPrecisely
Data is arguably your company’s greatest asset, and a thoughtful data governance strategy, along with robust tools like Collibra Data Governance Center (DGC), is essential to getting the most value from that data. However, even the best data governance programs will falter without data quality.
Data governance systems provide a framework for the policies, processes, rules, roles and responsibilities that help you manage your enterprise data. But they don’t give you insight into the characteristics and quality of that data – such as errors, outliers and issues – nor how the data changes over time.
During this webinar, we discuss how seamlessly integrating Trillium DQ with Collibra DGC creates a complete data governance solution that delivers rapid insights into the health of your data, ensuring trust and compliance with organizational policies and plans. We demonstrate how data is automatically exchanged between the tools so users can:
• Quickly establish the rules needed to support policies
• Evaluate their data against those rules on an ongoing basis
• Identify problems or improvements with their data quality to take action
Moving from data to insights: How to effectively drive business decisions & g...Cloudera, Inc.
Firms have become obsessed with data. But the key to competitive advantage is not just more or bigger data or big data technology, it is finding actionable insights from all the data as well as embedding insight in processes and applications. This requires a change in your approach - modernized architecture and embedding insights and data in you business decisions It also requires a change in how your people work systematically to find, test and implement insights. In this webinar, Forrester Vice President and Principal Analyst Brian Hopkins will present results from two years of research into these ideas and recommend to attendees how they can get the most out of their data and analytics to drive effective business decisions and gain competitive advantage.
Building the Next Generation IoT & Telematics PlatformCloudera, Inc.
IoT is fundamentally revolutionizing the automotive insurance space, by enabling insurers to gain powerful insights into the behavior, risk, and habits of individual drivers.
With over 180 Billion miles of driving data analyzed from connected cars, Octo Telematics has emerged as the leading global provider of telematics and data analytics solutions for the auto insurance industry.
Join Cloudera, Ovum and Octo Telematics for a joint webinar to learn more about how Octo built their next generation IoT & Telematics platform. In this session, Jonathan, the Global Chief Marketing Officer of Octo will share their transformational journey into how they are building the world’s largest insurance telematics database powered by analytics and machine learning.
As part of this webinar you can learn more about:
Octo’s transformation to the Next Generation Platform (NGP) for Telematics & IoT
How they process and analyze data from 5.4 million connected cars every day
How Octo implemented the data management and analytics infrastructure
How they are using machine learning to analyze risks and driving behavior
3 things to learn:
Octo’s transformation to the Next Generation Platform (NGP) for Telematics & IoT
How they process and analyze data from 5.4 million connected cars every day
How Octo implemented the data management and analytics infrastructure
Webinar - Real-Time Customer Experience for the Right-Now Enterprise featurin...DataStax
Welcome to the Right-Now Economy. To win in the Right-Now Economy, your enterprise needs to be able to provide delightful, always-on, instantaneously responsive applications via a data layer that can handle data rapidly, in real time, and at cloud scale. Don’t miss our upcoming webinar in which Forrester Principal Analyst Brendan Witcher will discuss why a singular, contextual, 360-degree view of the customer in real-time is critical to CX success and how companies are using data to deliver real-time personalization and recommendations.
View recording: https://youtu.be/e6prezfIGMY
Explore all DataStax webinars: https://www.datastax.com/resources/webinars
Transform Your Business with Supply Chain AI and a Modern InfrastructureOnRamp
The era of digital transformation is here, and if you’re running your business on outdated technology, you won’t be able to remain competitive. Learn how Artificial Intelligence (AI) is used to enhance business processes and human productivity, and what hurdles are keeping organizations like you from implementing these solutions.
Learn how Artificial Intelligence is used to enhance business processes and human productivity
Best practices for setting up an AI-friendly infrastructure
Understand your hosting and management options
Hear real-world examples of how LightEdge is helping optimize manufacturer’s IBM i
Kiji cassandra la june 2014 - v02 clint-kellyData Con LA
Big Data Camp LA 2014, Don't re-invent the Big-Data Wheel, Building real-time, Big Data applications on Cassandra with the open-source Kiji project by Clint Kelly of Wibidata
Big Data Day LA 2015 - NoSQL: Doing it wrong before getting it right by Lawre...Data Con LA
The team at Fandango heartily embraced NoSQL, using Couchbase to power a key media publishing system. The initial implementation was fraught with integration issues and high latency, and required a major effort to successfully refactor. My talk will outline the key organizational and architectural decisions that created deep systemic problems, and the steps taken to re-architect the system to achieve a high level of performance at scale.
Big Data Day LA 2015 - Solr Search with Spark for Big Data Analytics in Actio...Data Con LA
Apache Solr makes it so easy to interactively visualize and explore your data. Create a dashboard, add some facets, select some values, cross it with the time… and just look at the results.
Apache Spark is the growing framework for performing streaming computations, which makes it ideal for real time indexing.
Solr also comes with new Analytics Facets which are a major weapon added to the arsenal of the data explorer. They bring another dimension: calculations. We can now do the equivalent of SQL, just in a much simpler and faster way. These calculations can operate over buckets of data. For example, it is now possible to see the sum of Web traffic by country over the time, the median price of some categories of products, which ads are bringing more money by location...
This talks puts in practice some of the leading features of Solr Search. It presents the main types of facets/stats and which advanced properties and usage make them shine. A demo in parallel with the open source Search App in Hue will demonstrate how these facets can power interactive widgets or your own analytic queries. The data will be indexed in real time from a live stream with Spark.
Hadoop and NoSQL joining forces by Dale Kim of MapRData Con LA
More and more organizations are turning to Hadoop and NoSQL to manage big data. In fact, many IT professionals consider each of those terms to be synonymous with big data. At the same time, these two technologies are seen as different beasts that handle different challenges. That means they are often deployed in a rather disjointed way, even when intended to solve the same overarching business problem. The emerging trend of “in-Hadoop databases” promises to narrow the deployment gap between them and enable new enterprise applications. In this talk, Dale will describe that integrated architecture and how customers have deployed it to benefit both the technical and the business teams.
Big Data Day LA 2015 - Lessons Learned from Designing Data Ingest Systems by ...Data Con LA
During my time working on attribution and ingest systems, I've encountered several different approaches to solving the simple question: "How do I get data from A to B". In this session, I'd like to share some of the problems I've encountered and how to effectively solve them.
Big Data Day LA 2015 - Introducing N1QL: SQL for Documents by Jeff Morris of ...Data Con LA
NoSQL has exploded on the developer scene promising alternatives to RDBMS that make rapidly developing, Internet scale applications easier than ever. However, as a trade off to the ease of development and scale, some of the familiarity with other well-known query interfaces such as SQL, has been lost. Until now that is...N1QL (pronounced ‘N1QL’) is a SQL like query language for querying JSON, which brings the familiarity of RDBMS back to the NoSQL world. In this session you will learn about the syntax and basics of this new language as well as Integration with the Couchbase SDKs.
Big Data Day LA 2015 - Deep Learning Human Vocalized Animal Sounds by Sabri S...Data Con LA
Investigated a couple audio based, deep learning strategies for identifying human vocalized car sounds. In one case Mel Frequency Cepstral Coefficients, MFCCs, were used as inputs into a supervised, logistic regression neural network. In a separate case, Short Term Fourier Transforms ,STFT, were used to generate PCA whitened spectograms, which were used as inputs into a supervised, convolutional neural network. The MFCC method trained quickly on a relative small dataset of 4 sounds. The STFT method resulted in a much larger input matrix, resulting in much longer times for converging onto a solution
Big Data Day LA 2016/ Data Science Track - Decision Making and Lambda Archite...Data Con LA
Online decision making over time needs interacting with an ever changing environment and underlying machine learning models need to change and adapt to this changing environment. This talk discusses class of machine learning algorithms and provides details of how the computation is parallelized using the Spark framework.
Big Data Day LA 2016/ Big Data Track - Twitter Heron @ Scale - Karthik Ramasa...Data Con LA
Twitter generates billions and billions of events per day. Analyzing these events in real time presents a massive challenge. Twitter designed and deployed a new streaming system called Heron. Heron has been in production nearly 2 years and is widely used by several teams for diverse use cases. This talk looks at Twitter's operating experiences and challenges of running Heron at scale and the approaches taken to solve those challenges.
Originally Published: Jan 21, 2015
The size and complexity of data make it difficult for companies to unlock the true value of their data. IBM Information Integration Governance can improve data quality, protect sensitive data, and reduce cost and risk. Free up your resources and get more out of your data.
IBM's big data seminar programme -moving beyond Hadoop - Ian Radmore, IBMInternet World
Big Data Meets Big Analytics Theatre - June 18th, 15:00-15:30
Eighty percent of the world's data is unstructured, and most businesses don't even attempt to use this data to their advantage. Imagine if you could afford to keep and analyse all the data generated by your business. Imagine that you had a way to analyse and exploit that data as it is created! Whether you're a telecoms provider trying to minimise customer churn, a utility company looking to exploit the potential of smart-metering or a surveillance company ensuring the security of clients' premises, there are genuine business opportunities from deploying big data analytics in real-time. Using live client examples, Ian will show how real-time analytics provide a powerful extension to any big data platform and is applicable across many types of information and real-world problems to deliver tangible business value.
Ian Radmore, an IBM Big Data Specialist spoke about the velocity aspect of the 4Vs associated with Big Data at the recent Internet World conference, this is the supporting presentation.
Robert Lecklin - BigData is making a differenceIBM Sverige
Vad kan Big data göra för ditt företag? Låt dig inspireras av Robert Lecklin som har hjälpt flera kunder att implementera sin Big data strategi. Genom detta har de lyckats omvandlat värdelös data till värdefulla insikter. Han kommer i denna session att dela med sig av erfarenheter av kundcase där en strategi för big data gjort avgörande skillnad...
Take the Big Data Challenge - Take Advantage of ALL of Your Data 16 Sept 2014pietvz
A customer service call can transform internal processes. Information in Tweets and reviews can lead to better products. Structured and unstructured data brought together can reveal patterns and relationships that unlock powerful business opportunities. We will discuss real-world use cases and best practices for building the infrastructure you need to power Big Data analytics solutions. From the latest in Hadoop innovation, cognitive computing, and cloud-based analytical web services, you will learn how organizations large and small can harness the power of unstructured human information to create, deploy, and deliver the next generation of analytics applications.
Powered by HP IDOL, HP Autonomy delivers intelligent applications that allow your organization to understand the concepts and context of all information in real time, mitigating risk and identifying opportunity. Join us at this session to learn how HP Autonomy can unlock the value of your company’s structured and unstructured data for better insight and greater competitive advantage. HP IDOL, the OS for human information, enables you to index, manage, and process all your data, both structured and unstructured. Learn how HP IDOL delivers unprecedented insights into optimized architecture, scalability, performance, mapped security, and connectivity. Find out more about IDOLOnDemand.com and how you can leverage this revolutionary technology in your own organization.
Trasformare il business in modo non convenzionale o tradizionale con i Business Analytics. Oggi il software ed il paradigma dei Big Data permettono non solo di migliorare l’efficienza dei processi, la produttività e ridurre i costi ma possono realizzare nuovi ricavi. Ecco casi di aziende che dalle informazioni hanno creato nuove fonti di revenue o hanno dato un nuovo impulso al loro modello di business.
Entry Points – How to Get Rolling with Big Data AnalyticsInside Analysis
The Briefing Room with Robin Bloor and IBM
Live Webcast Sept. 24, 2013
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?AT=pb&SP=EC&rID=7501927&rKey=664935ceb7de1aec
Where to begin? That question remains prominent for many organizations who are trying to leverage the value of big data analytics. Most sources of big data are quite different than traditional enterprise data systems. This requires new skill sets, both for the granular integration work, as well as the strategic business perspective required to design useful solutions.
Register for this episode of The Briefing Room to hear veteran Analyst Dr. Robin Bloor as he explains the pain points associated with modern data volumes and types. He will be briefed by Rick Clements of IBM, who will tout IBM's big data platform, specifically InfoSphere BigInsights, InfoSphere Streams and InfoSphere Data Explorer. He will also present specific use cases that demonstrate how IT and the line of business can springboard over existing challenges, gain insight and improve operational performance.
Visit InsideAnalysis.com for more information
Understanding Customer Buying Journey with Big DataAnalyticsWeek
Big Data enables you to combine the vast amount of customer behavior data being generated from mobile, web, social media, transaction systems, Ads and turn them into new insights that drive customer acquisition and retention.
This talk will highlight and showcase how leading edge companies are leveraging big data to:
Combine customer interaction data to understand customer buying journey
Understand high-value customer behavior beyond profile segmentation
Identify the most common path to customer churn
Perform market basket analysis to help with cross-sell and up-sell
Speakers:
Matt Schumpert
Director of Product Management
Matt has been working in the enterprise infrastructure software space for 15 years in various capacities, including product management, sales engineering, sales leadership and strategic alliances. An early employee of Big Data pioneer Datameer, Matt is currently focused on driving the strategic direction and technology strategy for Datameer’s flagship Big Data analytics product. Previously, Matt built the sales engineering organization at Datameer, managed strategic partnerships at Oracle & BEA Systems in the US an Europe, and drove sales of business rules management software at ILOG (now IBM). Matt holds a BS in Computer Science from the University of Virginia.
PoT - probeer de mogelijkheden van datamining zelf uit 30-10-2014Daniel Westzaan
IBM Proof of Technology
Probeer de Mogelijkheden van Datamining zelf uit
30-10-2014 Amsterdam, IBM Client Center
Presentatie van Laila Fettah & Robin van Tilburg
Four Key Considerations for your Big Data Analytics StrategyArcadia Data
Learn 4 of the key things to consider as you create your big data analytics strategy from John Meyers (Enterprise Management Associates) and Steve Wooledge (Arcadia Data).
These slides from EMA VP of Research, Shawn Rogers, and Actian VP of Solutions & Product Marketing, John Santaferraro will help you:
Learn how your peers are using Big Data for success to create transformational value
Discover how diverse data and platform ecosystems create opportunity and complexity
Examine the key differences between early Big Data projects and Big Data 2.0 projects
Explore where Big Data is heading in the future and how innovative companies will enable execution
Identify the gaps and challenges to success as well as the drivers for change and opportunity.
Data Con LA 2022 - Using Google trends data to build product recommendationsData Con LA
Mike Limcaco, Analytics Specialist / Customer Engineer at Google
Measure trends in a particular topic or search term across Google Search across the US down to the city-level. Integrate these data signals into analytic pipelines to drive product, retail, media (video, audio, digital content) recommendations tailored to your audience segment. We'll discuss how Google unique datasets can be used with Google Cloud smart analytic services to process, enrich and surface the most relevant product or content that matches the ever-changing interests of your local customer segment.
Melinda Thielbar, Data Science Practice Lead and Director of Data Science at Fidelity Investments
From corporations to governments to private individuals, most of the AI community has recognized the growing need to incorporate ethics into the development and maintenance of AI models. Much of the current discussion, though, is meant for leaders and managers. This talk is directed to data scientists, data engineers, ML Ops specialists, and anyone else who is responsible for the hands-on, day-to-day of work building, productionalizing, and maintaining AI models. We'll give a short overview of the business case for why technical AI expertise is critical to developing an AI Ethics strategy. Then we'll discuss the technical problems that cause AI models to behave unethically, how to detect problems at all phases of model development, and the tools and techniques that are available to support technical teams in Ethical AI development.
Data Con LA 2022 - Improving disaster response with machine learningData Con LA
Antje Barth, Principal Developer Advocate, AI/ML at AWS & Chris Fregly, Principal Engineer, AI & ML at AWS
The frequency and severity of natural disasters are increasing. In response, governments, businesses, nonprofits, and international organizations are placing more emphasis on disaster preparedness and response. Many organizations are accelerating their efforts to make their data publicly available for others to use. Repositories such as the Registry of Open Data on AWS and Humanitarian Data Exchange contain troves of data available for use by developers, data scientists, and machine learning practitioners. In this session, see how a community of developers came together though the AWS Disaster Response hackathon to build models to support natural disaster preparedness and response.
Data Con LA 2022 - What's new with MongoDB 6.0 and AtlasData Con LA
Sig Narvaez, Executive Solution Architect at MongoDB
MongoDB is now a Developer Data Platform. Come learn what�s new in the 6.0 release and Atlas following all the recent announcements made at MongoDB World 2022. Topics will include
- Atlas Search which combines 3 systems into one (database, search engine, and sync mechanisms) letting you focus on your product's differentiation.
- Atlas Data Federation to seamlessly query, transform, and aggregate data from one or more MongoDB Atlas databases, Atlas Data Lake and AWS S3 buckets
- Queryable Encryption lets you run expressive queries on fully randomized encrypted data to meet the most stringent security requirements
- Relational Migrator which analyzes your existing relational schemas and helps you design a new MongoDB schema.
- And more!
Data Con LA 2022 - Real world consumer segmentationData Con LA
Jaysen Gillespie, Head of Analytics and Data Science at RTB House
1. Shopkick has over 30M downloads, but the userbase is very heterogeneous. Anecdotal evidence indicated a wide variety of users for whom the app holds long-term appeal.
2. Marketing and other teams challenged Analytics to get beyond basic summary statistics and develop a holistic segmentation of the userbase.
3. Shopkick's data science team used SQL and python to gather data, clean data, and then perform a data-driven segmentation using a k-means algorithm.
4. Interpreting the results is more work -- and more fun -- than running the algo itself. We'll discuss how we transform from ""segment 1"", ""segment 2"", etc. to something that non-analytics users (Marketing, Operations, etc.) could actually benefit from.
5. So what? How did team across Shopkick change their approach given what Analytics had discovered.
Data Con LA 2022 - Modernizing Analytics & AI for today's needs: Intuit Turbo...Data Con LA
Ravi Pillala, Chief Data Architect & Distinguished Engineer at Intuit
TurboTax is one of the well known consumer software brand which at its peak serves 385K+ concurrent users. In this session, We start with looking at how user behavioral data & tax domain events are captured in real time using the event bus and analyzed to drive real time personalization with various TurboTax data pipelines. We will also look at solutions performing analytics which make use of these events, with the help of Kafka, Apache Flink, Apache Beam, Spark, Amazon S3, Amazon EMR, Redshift, Athena and Amazon lambda functions. Finally, we look at how SageMaker is used to create the TurboTax model to predict if a customer is at risk or needs help.
Data Con LA 2022 - Moving Data at Scale to AWSData Con LA
George Mansoor, Chief Information Systems Officer at California State University
Overview of the CSU Data Architecture on moving on-prem ERP data to the AWS Cloud at scale using Delphix for Data Replication/Virtualization and AWS Data Migration Service (DMS) for data extracts
Data Con LA 2022 - Collaborative Data Exploration using Conversational AIData Con LA
Anand Ranganathan, Chief AI Officer at Unscrambl
Conversational AI is getting more and more widely used for customer support and employee support use-cases. In this session, I'm going to talk about how it can be extended for data analysis and data science use-cases ... i.e., how users can interact with a bot to ask analytical questions on data in relational databases.
This allows users to explore complex datasets using a combination of text and voice questions, in natural language, and then get back results in a combination of natural language and visualizations. Furthermore, it allows collaborative exploration of data by a group of users in a channel in platforms like Microsoft Teams, Slack or Google Chat.
For example, a group of users in a channel can ask questions to a bot in plain English like ""How many cases of Covid were there in the last 2 months by state and gender"" or ""Why did the number of deaths from Covid increase in May 2022"", and jointly look at the results that come back. This facilitates data awareness, data-driven collaboration and joint decision making among teams in enterprises and outside.
In this talk, I'll describe how we can bring together various features including natural-language understanding, NL-to-SQL translation, dialog management, data story-telling, semantic modeling of data and augmented analytics to facilitate collaborate exploration of data using conversational AI.
Data Con LA 2022 - Why Database Modernization Makes Your Data Decisions More ...Data Con LA
Anil Inamdar, VP & Head of Data Solutions at Instaclustr
The most modernized enterprises utilize polyglot architecture, applying the best-suited database technologies to each of their organization's particular use cases. To successfully implement such an architecture, though, you need a thorough knowledge of the expansive NoSQL data technologies now available.
Attendees of this Data Con LA presentation will come away with:
-- A solid understanding of the decision-making process that should go into vetting NoSQL technologies and how to plan out their data modernization initiatives and migrations.
-- They will learn the types of functionality that best match the strengths of NoSQL key-value stores, graph databases, columnar databases, document-type databases, time-series databases, and more.
-- Attendees will also understand how to navigate database technology licensing concerns, and to recognize the types of vendors they'll encounter across the NoSQL ecosystem. This includes sniffing out open-core vendors that may advertise as “open source,"" but are driven by a business model that hinges on achieving proprietary lock-in.
-- Attendees will also learn to determine if vendors offer open-code solutions that apply restrictive licensing, or if they support true open source technologies like Hadoop, Cassandra, Kafka, OpenSearch, Redis, Spark, and many more that offer total portability and true freedom of use.
Data Con LA 2022 - Intro to Data ScienceData Con LA
Zia Khan, Computer Systems Analyst and Data Scientist at LearningFuze
Data Science tutorial is designed for people who are new to Data Science. This is a beginner level session so no prior coding or technical knowledge is required. Just bring your laptop with WiFi capability. The session starts with a review of what is data science, the amount of data we generate and how companies are using that data to get insight. We will pick a business use case, define the data science process, followed by hands-on lab using python and Jupyter notebook. During the hands-on portion we will work with pandas, numpy, matplotlib and sklearn modules and use a machine learning algorithm to approach the business use case.
Data Con LA 2022 - How are NFTs and DeFi Changing EntertainmentData Con LA
Mariana Danilovic, Managing Director at Infiom, LLC
We will address:
(1) Community creation and engagement using tokens and NFTs
(2) Organization of DAO structures and ways to incentivize Web3 communities
(3) DeFi business models applied to Web3 ventures
(4) Why Metaverse matters for new entertainment and community engagement models.
Data Con LA 2022 - Why Data Quality vigilance requires an End-to-End, Automat...Data Con LA
Curtis ODell, Global Director Data Integrity at Tricentis
Join me to learn about a new end-to-end data testing approach designed for modern data pipelines that fills dangerous gaps left by traditional data management tools—one designed to handle structured and unstructured data from any source. You'll hear how you can use unique automation technology to reach up to 90 percent test coverage rates and deliver trustworthy analytical and operational data at scale. Several real world use cases from major banks/finance, insurance, health analytics, and Snowflake examples will be presented.
Key Learning Objective
1. Data journeys are complex and you have to ensure integrity of the data end to end across this journey from source to end reporting for compliance
2. Data Management tools do not test data, they profile and monitor at best, and leave serious gaps in your data testing coverage
3. Automation with integration to DevOps and DataOps' CI/CD processes are key to solving this.
4. How this approach has impact in your vertical
Data Con LA 2022-Perfect Viral Ad prediction of Superbowl 2022 using Tease, T...Data Con LA
Arif Ansari, Professor at University of Southern California
Super Bowl Ad cost $7 million and each year a few Super Bowl ads go viral. The traditional A/B testing does not predict virality. Some highly shared ones reach over 60 million organic views, which can be more valuable than views on TV. Not only are these voluntary, but they are typically without distraction, and win viewer engagement in the form of likes, comments, or shares. A Super Bowl ad that wins 69 million views on YouTube (e.g., Alexa Mind Reader) costs less than 10 cents per quality view! However, the challenge is triggering virality. We developed a method to predict virality and engineer virality into Ads.
1. Prof. Gerard J. Tellis and co-authors recommended that advertisers use YouTube to tease, test, and tweak (TTT) their ads to maximize sharing and viewing. 2022 saw that maxim put into practice.
2. We developed viral Ads prediction using two scientific models:
a. Prof. Gerard Tellis et al.'s model for viral prediction
b. Deep Learning viral prediction using social media effect
3. The model was able to identify all the top 15 Viral Ads it performed better than the traditional agencies.
4. New proposed method is Tease, Test, Tweak, Target and Spots Ad.
Data Con LA 2022- Embedding medical journeys with machine learning to improve...Data Con LA
Jai Bansal, Senior Manager, Data Science at Aetna
This talk describes an internal data product called Member Embeddings that facilitates modeling of member medical journeys with machine learning.
Medical claims are the key data source we use to understand health journeys at Aetna. Claims are the data artifacts that result from our members' interactions with the healthcare system. Claims contain data like the amount the provider billed, the place of service, and provider specialty. The primary medical information in a claim is represented in codes that indicate the diagnoses, procedures, or drugs for which a member was billed. These codes give us a semi-structured view into the medical reason for each claim and so contain rich information about members' health journeys. However, since the codes themselves are categorical and high-dimensional (10K cardinality), it's challenging to extract insight or predictive power directly from the raw codes on a claim.
To transform claim codes into a more useful format for machine learning, we turned to the concept of embeddings. Word embeddings are widely used in natural language processing to provide numeric vector representations of individual words.
We use a similar approach with our claims data. We treat each claim code as a word or token and use embedding algorithms to learn lower-dimensional vector representations that preserve the original high-dimensional semantic meaning.
This process converts the categorical features into dense numeric representations. In our case, we use sequences of anonymized member claim diagnosis, procedure, and drug codes as training data. We tested a variety of algorithms to learn embeddings for each type of claim code.
We found that the trained embeddings showed relationships between codes that were reasonable from the point of view of subject matter experts. In addition, using the embeddings to predict future healthcare-related events outperformed other basic features, making this tool an easy way to improve predictive model performance and save data scientist time.
Data Con LA 2022 - Data Streaming with KafkaData Con LA
Jie Chen, Manager Advisory, KPMG
Data is the new oil. However, many organizations have fragmented data in siloed line of businesses. In this topic, we will focus on identifying the legacy patterns and their limitations and introducing the new patterns packed by Kafka's core design ideas. The goal is to tirelessly pursue better solutions for organizations to overcome the bottleneck in data pipelines and modernize the digital assets for ready to scale their businesses. In summary, we will walk through three uses cases, recommend Dos and Donts, Take aways for Data Engineers, Data Scientist, Data architect in developing forefront data oriented skills.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas