InSTEDD: ASLM2018 - Planwise for data driven planning
•Download as PPTX, PDF•
0 likes•31 views
From ASLM 2018 - Describing Planwise a tool that supports systems and networks to plan better using travel times, population density, and locations of sites to model how best to enhance or grow a network.
Report
Share
Report
Share
Recommended
More softwaresolutions innovative governmen_2014
This document discusses how governments can become more efficient by moving paper-based processes to digital solutions. It estimates that converting forms to digital would save millions of working hours spent on paperwork, free up billions of dollars spent on paper resources, and save thousands of trees used for paper. The document promotes More Software Solutions as offering a platform-as-a-service called "Compose" that allows building web and mobile applications to digitize and streamline government processes like forms and case management. More has experience providing e-government solutions to many Norwegian government agencies and municipalities.
CTMS Data Migration by Krishnaveni Rapuru
Data Migration in Life Science presented Krishnaveni Rapuru from Medidata
Watch out talk here : https://youtu.be/6M_0-D0sHoE
Building momentum in Wessex - Bill Gillespie
The ninth and final presentation delivered at the 'Big Data in health and care: using data to gain new insights’ event, hosted by Wessex Academic Health Science Network (AHSN) on 19 April 2015.
The transformation of how we use data - Simon Beaumont
The sixth presentation delivered at the 'Big Data in health and care: using data to gain new insights’ event, hosted by Wessex Academic Health Science Network (AHSN) on 19 April 2015.
Insight DX - Environmental Data Exchange Hack Weekend
The document discusses InsightDX, an API that aggregates and filters open environmental datasets according to location, making the data easier to use. It solves the problems that environmental data is scattered across different sources and formats, and tying multiple datasets to a single location is challenging. InsightDX aims to make open data more meaningful and accessible for service creators and data users, allowing them to focus on creating valuable tools and services rather than struggling to find and use relevant datasets. The prototype and business model are being validated with potential partners, customers and early adopters working with open environmental data.
Driving data
This document discusses data driving and how it relates to data mining. It notes that data driving is similar to data mining, but with data being directed in one direction. It describes how the data-driven make decisions using as much diverse data as possible to develop a deeper understanding. Driving data in a particular direction can help obtain high quality decisions and learn from mistakes, though it may take a large amount of time to collect and analyze the data. The document concludes that data needs to be driven in a particular direction to represent the best quality output.
Richard Samuel: 'Big Data - Setting the Scene'
The first presentation delivered at the 'Big Data in health and care: using data to gain new insights’ event, hosted by Wessex Academic Health Science Network (AHSN) on 19 April 2015.
Resume
Akhilesh Reddy Narapareddy is seeking a role in business analytics. He has a Master's in Business Analytics from UT Austin and a Bachelor's in Electronics and Communication from Pondicherry University. He has over 3 years of experience as a Decision Scientist at Mu Sigma, where he led a team, created predictive models, and performed data analysis to help large retailers and media companies. He is proficient in R, SQL, Python, Tableau and has certifications in decision science.
Recommended
More softwaresolutions innovative governmen_2014
This document discusses how governments can become more efficient by moving paper-based processes to digital solutions. It estimates that converting forms to digital would save millions of working hours spent on paperwork, free up billions of dollars spent on paper resources, and save thousands of trees used for paper. The document promotes More Software Solutions as offering a platform-as-a-service called "Compose" that allows building web and mobile applications to digitize and streamline government processes like forms and case management. More has experience providing e-government solutions to many Norwegian government agencies and municipalities.
CTMS Data Migration by Krishnaveni Rapuru
Data Migration in Life Science presented Krishnaveni Rapuru from Medidata
Watch out talk here : https://youtu.be/6M_0-D0sHoE
Building momentum in Wessex - Bill Gillespie
The ninth and final presentation delivered at the 'Big Data in health and care: using data to gain new insights’ event, hosted by Wessex Academic Health Science Network (AHSN) on 19 April 2015.
The transformation of how we use data - Simon Beaumont
The sixth presentation delivered at the 'Big Data in health and care: using data to gain new insights’ event, hosted by Wessex Academic Health Science Network (AHSN) on 19 April 2015.
Insight DX - Environmental Data Exchange Hack Weekend
The document discusses InsightDX, an API that aggregates and filters open environmental datasets according to location, making the data easier to use. It solves the problems that environmental data is scattered across different sources and formats, and tying multiple datasets to a single location is challenging. InsightDX aims to make open data more meaningful and accessible for service creators and data users, allowing them to focus on creating valuable tools and services rather than struggling to find and use relevant datasets. The prototype and business model are being validated with potential partners, customers and early adopters working with open environmental data.
Driving data
This document discusses data driving and how it relates to data mining. It notes that data driving is similar to data mining, but with data being directed in one direction. It describes how the data-driven make decisions using as much diverse data as possible to develop a deeper understanding. Driving data in a particular direction can help obtain high quality decisions and learn from mistakes, though it may take a large amount of time to collect and analyze the data. The document concludes that data needs to be driven in a particular direction to represent the best quality output.
Richard Samuel: 'Big Data - Setting the Scene'
The first presentation delivered at the 'Big Data in health and care: using data to gain new insights’ event, hosted by Wessex Academic Health Science Network (AHSN) on 19 April 2015.
Resume
Akhilesh Reddy Narapareddy is seeking a role in business analytics. He has a Master's in Business Analytics from UT Austin and a Bachelor's in Electronics and Communication from Pondicherry University. He has over 3 years of experience as a Decision Scientist at Mu Sigma, where he led a team, created predictive models, and performed data analysis to help large retailers and media companies. He is proficient in R, SQL, Python, Tableau and has certifications in decision science.
The Critical Role of Spatial Data in Today's Data Ecosystem
In today's data-driven landscape, integrating spatial data is becoming increasingly crucial for organizations aiming to harness the full potential of their data. Spatial data offers unique insights based on location, making it a fundamental component for addressing various challenges across different sectors, including urban planning, environmental sustainability, public health, and logistics.
Our webinar delves into the indispensable role of spatial data in data management and analysis. We'll showcase how omitting spatial data from your data strategy not only weakens your data infrastructure, but also limits the depth of your insights. Through real-world case studies, we'll highlight the transformative impact of spatial data, demonstrating its ability to uncover complex patterns, trends, and relationships.
Join us for this introductory-level webinar as we explore the critical importance of spatial data integration in driving strategic decision-making processes. By the end of the webinar, you'll gain a renewed perspective on how spatial data is essential for confronting and overcoming challenges across various domains.
Data Cleaning
This document discusses the importance of managing data effectively and having clean, accurate data. It notes that dirty or unmanaged data can become unreliable very quickly as errors accumulate. It provides examples of what constitutes dirty data like duplicates, missing or inaccurate information. The document recommends having processes and standards for entering data to maintain data quality. These include reconciling donations, using batch numbers, and regular audits to identify dirty data issues. The overall message is that non-profits must treat data as a valuable asset and implement strategies to organize, maintain and protect their data.
Better Living Through Analytics - Strategies for Data Decisions
Data is king! Get ready to understand how a successful analytics team can empower managers from product, marketing, and other areas to make effective, data-driven decisions.
Louis Cialdella, a data scientist at ZipRecruiter, shared some case studies and successful strategies that he has used at ZipRecruiter as well as previous experiences. The purpose of this data talk was to enlighten people on how to make sure that analysts can successfully partner with other departments and get them the information they need to do great things.
Big Data Testing Strategies
Testing Big Data application is more a verification of its data processing rather than testing the individual features. It demands a high level of testing skills as the processing is very fast.
Achieve Your State Missions with Better Data
This document discusses how governments can better utilize data through integration to improve operations and services. It outlines challenges like data silos and limited resources that governments face. The document then presents six reasons for data integration, including streamlining operations, making data accessible, and enhancing service delivery. It provides examples of how governments have automated workflows, consolidated data, published open data, and modernized systems using an enterprise data integration solution. The key takeaway is that connecting and sharing trusted data can improve efficiency and better serve citizens.
Big Data Analytics: Challenge or Opportunity?
Presented by Dr Carol Anne Hargreaves, Chief, Business Analytics Practice, NUS-ISS at NUS-ISS Open Day & Career Fair 2014 on 16 Aug 2014.
Big data analytics presented at meetup big data for decision makers
Presentation on data science techniques as presented at the Washington DC meet-up on Big Data for Decision Makers.
Data Governance Workshop
The document outlines several upcoming workshops hosted by CCG, an analytics consulting firm, including:
- An Analytics in a Day workshop focusing on Synapse on March 16th and April 20th.
- An Introduction to Machine Learning workshop on March 23rd.
- A Data Modernization workshop on March 30th.
- A Data Governance workshop with CCG and Profisee on May 4th focusing on leveraging MDM within data governance.
More details and registration information can be found on ccganalytics.com/events. The document encourages following CCG on LinkedIn for event updates.
Data Science Introduction: Concepts, lifecycle, applications.pptx
This document provides an introduction to the subject of data visualization using R programming and Power BI. It discusses key concepts in data science including the data science lifecycle, components of data science like statistics and machine learning, and applications of data science such as image recognition. The document also outlines some advantages and disadvantages of using data science.
Advertising using big data
An in depth presentation on analysis of big data and its application in the advertising industry in order to reach maximum number or optimum customers.
Tags:
big data analytics
advertising and big data
advertising and big data ppt
ads with big data
how advertising use big data
how ads use big data
big data in advertising
advertising big data
big data engineer
big data engineer salary
big data dangerous
big data companies
big data band
big data technologies
big data tools
big data definition
big data analysis
big data analyst
big data architecture
big data architect
big data analytics tools
big data analyst salary
big data analytics is usually associated with
a big data-as-a-service framework state-of-the-art and perspectives
big data book
big data bowl
big data breaches
big data baseball
big data benefits
big data bombs over brooklyn
big data bootcamp
iim b big data analytics
iim b big data
b tech in big data analytics
a/b testing big data
difference b/w big data and hadoop
b tech projects on big data
Big data
Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, and information privacy.
Start With Why: Build Product Progress with a Strong Data Culture
Have you ever thought your product's progress was headed in one direction, and been shocked to see a different story reflected in big picture KPIs like revenue? It can be confusing when customer feedback or metrics like registration or retention are painting a different picture. No matter how sophisticated your analytics are, if you're asking the wrong questions - or looking at the wrong metrics - you're going to have trouble getting answers that can help you.
Join Nima Gardideh, CTO of Pearmill, as he demonstrates how to build a strong data culture within your team, so everyone understands which metrics they should actually focus on - and why. Then, he'll explain how you can use your analytics to regularly review progress and successes. Finally, he'll discuss what you should keep in mind when instrumenting your analytics.
Start With Why: Build Product Progress with a Strong Data Culture
Have you ever thought your product's progress was headed in one direction, and been shocked to see a different story reflected in big picture KPIs like revenue? It can be confusing when customer feedback or metrics like registration or retention are painting a different picture. No matter how sophisticated your analytics are, if you're asking the wrong questions - or looking at the wrong metrics - you're going to have trouble getting answers that can help you.
Join Nima Gardideh, CTO of Pearmill, as he demonstrates how to build a strong data culture within your team, so everyone understands which metrics they should actually focus on - and why. Then, he'll explain how you can use your analytics to regularly review progress and successes. Finally, he'll discuss what you should keep in mind when instrumenting your analytics.
6 Steps to Transition Govt ICT effectiveness
The document discusses strategies for developing an effective government ICT strategy. It outlines six key pillars and provides a six step process to define goals, standards, policies and procedures to implement strategies. It emphasizes defining metrics to measure success and analyzing metrics to continually improve processes and strategies.
how to successfully implement a data analytics solution.pdf
The adoption of data analytics in business has demonstrated a transformative power in modern entrepreneurship. By analyzing vast reservoirs of data, businesses can make informed decisions, optimize operations and predict trends, thus fueling growth.
Sgcp14dunlea
The document discusses how utilities are increasingly collecting and generating large amounts of data from smart meters and other sensors. It notes that utilities must learn to leverage this "big data" by acquiring, organizing, and analyzing different types of structured and unstructured data from various sources in order to make more informed operational and business decisions. Effective use of big data can help utilities optimize operations, improve customer experience, and increase business performance. However, most utilities currently underutilize data analytics capabilities and face challenges in integrating diverse data sources and systems. The document advocates for a well-designed data management platform that can consolidate utility data to facilitate deeper analysis and more valuable insights.
02 a holistic approach to big data
The document outlines an agenda for a presentation on big data. It discusses key topics like the state of big data adoption, a holistic approach to big data, five high value use cases, technical components, and the future of big data and cloud. The presentation aims to provide an overview of big data and how organizations can take a comprehensive approach to leveraging their data assets.
Building a Data Strategy Your C-Suite Will Support
Being a data leader in any industry is an advantage that creates measurable financial benefits. Many studies have shown this – I’ve seen them from Bain, McKinsey, MIT and more. Since most firms are measured on profit, getting good at making data driven decisions is a key to being competitive. You can't get there without a plan. That is where a data strategy comes in.
In speaking with ~300 firms who indicated that their organizations were effective in using data and analytics, McKinsey found that construction of a data strategy was the number one contributing factor to their success. Being good at using data to drive decisions creates a meaningful profit advantage and those who are leaders indicated that the number one driver of their success was their data strategy.
This presentation will cover what a data strategy is, how to construct one, and how to get buy in from your executive team. The author is a former Fortune 500 Chief Data Officer and has held senior data roles at Capital One and Markel.
Here are a few helpful links for your data journey:
Free Data Investment ROI Template:
https://www.udig.com/digging-in/roi-calculator-for-it-projects/
Real world data use cases:
https://www.udig.com/our-work/?category=data
Contact Me:
https://www.udig.com/contact/
How to Use Data Analytics and Response Models to Reach, Realize, and Retain C...
Caserta Concepts (http://casertaconcepts.com/) and PNT Marketing Services (http://www.pntmarketingservices.com/), a leading provider of Customer Intelligence-based database marketing and analytic services, discussed how to turn your customer data into increased sales with predictive analytics and response modeling in a recent webinar.
Should You Integrate DataOps in Your Business Process?
Data is the lifeblood of any business. It holds information about customers and their behaviors, products, and services. It's also the lifeblood of any enterprise — it's what keeps the lights on, keeps employees productive, and helps companies stay ahead of their competition.
And DataOps can make data management more efficient!
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
More Related Content
Similar to InSTEDD: ASLM2018 - Planwise for data driven planning
The Critical Role of Spatial Data in Today's Data Ecosystem
In today's data-driven landscape, integrating spatial data is becoming increasingly crucial for organizations aiming to harness the full potential of their data. Spatial data offers unique insights based on location, making it a fundamental component for addressing various challenges across different sectors, including urban planning, environmental sustainability, public health, and logistics.
Our webinar delves into the indispensable role of spatial data in data management and analysis. We'll showcase how omitting spatial data from your data strategy not only weakens your data infrastructure, but also limits the depth of your insights. Through real-world case studies, we'll highlight the transformative impact of spatial data, demonstrating its ability to uncover complex patterns, trends, and relationships.
Join us for this introductory-level webinar as we explore the critical importance of spatial data integration in driving strategic decision-making processes. By the end of the webinar, you'll gain a renewed perspective on how spatial data is essential for confronting and overcoming challenges across various domains.
Data Cleaning
This document discusses the importance of managing data effectively and having clean, accurate data. It notes that dirty or unmanaged data can become unreliable very quickly as errors accumulate. It provides examples of what constitutes dirty data like duplicates, missing or inaccurate information. The document recommends having processes and standards for entering data to maintain data quality. These include reconciling donations, using batch numbers, and regular audits to identify dirty data issues. The overall message is that non-profits must treat data as a valuable asset and implement strategies to organize, maintain and protect their data.
Better Living Through Analytics - Strategies for Data Decisions
Data is king! Get ready to understand how a successful analytics team can empower managers from product, marketing, and other areas to make effective, data-driven decisions.
Louis Cialdella, a data scientist at ZipRecruiter, shared some case studies and successful strategies that he has used at ZipRecruiter as well as previous experiences. The purpose of this data talk was to enlighten people on how to make sure that analysts can successfully partner with other departments and get them the information they need to do great things.
Big Data Testing Strategies
Testing Big Data application is more a verification of its data processing rather than testing the individual features. It demands a high level of testing skills as the processing is very fast.
Achieve Your State Missions with Better Data
This document discusses how governments can better utilize data through integration to improve operations and services. It outlines challenges like data silos and limited resources that governments face. The document then presents six reasons for data integration, including streamlining operations, making data accessible, and enhancing service delivery. It provides examples of how governments have automated workflows, consolidated data, published open data, and modernized systems using an enterprise data integration solution. The key takeaway is that connecting and sharing trusted data can improve efficiency and better serve citizens.
Big Data Analytics: Challenge or Opportunity?
Presented by Dr Carol Anne Hargreaves, Chief, Business Analytics Practice, NUS-ISS at NUS-ISS Open Day & Career Fair 2014 on 16 Aug 2014.
Big data analytics presented at meetup big data for decision makers
Presentation on data science techniques as presented at the Washington DC meet-up on Big Data for Decision Makers.
Data Governance Workshop
The document outlines several upcoming workshops hosted by CCG, an analytics consulting firm, including:
- An Analytics in a Day workshop focusing on Synapse on March 16th and April 20th.
- An Introduction to Machine Learning workshop on March 23rd.
- A Data Modernization workshop on March 30th.
- A Data Governance workshop with CCG and Profisee on May 4th focusing on leveraging MDM within data governance.
More details and registration information can be found on ccganalytics.com/events. The document encourages following CCG on LinkedIn for event updates.
Data Science Introduction: Concepts, lifecycle, applications.pptx
This document provides an introduction to the subject of data visualization using R programming and Power BI. It discusses key concepts in data science including the data science lifecycle, components of data science like statistics and machine learning, and applications of data science such as image recognition. The document also outlines some advantages and disadvantages of using data science.
Advertising using big data
An in depth presentation on analysis of big data and its application in the advertising industry in order to reach maximum number or optimum customers.
Tags:
big data analytics
advertising and big data
advertising and big data ppt
ads with big data
how advertising use big data
how ads use big data
big data in advertising
advertising big data
big data engineer
big data engineer salary
big data dangerous
big data companies
big data band
big data technologies
big data tools
big data definition
big data analysis
big data analyst
big data architecture
big data architect
big data analytics tools
big data analyst salary
big data analytics is usually associated with
a big data-as-a-service framework state-of-the-art and perspectives
big data book
big data bowl
big data breaches
big data baseball
big data benefits
big data bombs over brooklyn
big data bootcamp
iim b big data analytics
iim b big data
b tech in big data analytics
a/b testing big data
difference b/w big data and hadoop
b tech projects on big data
Big data
Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, and information privacy.
Start With Why: Build Product Progress with a Strong Data Culture
Have you ever thought your product's progress was headed in one direction, and been shocked to see a different story reflected in big picture KPIs like revenue? It can be confusing when customer feedback or metrics like registration or retention are painting a different picture. No matter how sophisticated your analytics are, if you're asking the wrong questions - or looking at the wrong metrics - you're going to have trouble getting answers that can help you.
Join Nima Gardideh, CTO of Pearmill, as he demonstrates how to build a strong data culture within your team, so everyone understands which metrics they should actually focus on - and why. Then, he'll explain how you can use your analytics to regularly review progress and successes. Finally, he'll discuss what you should keep in mind when instrumenting your analytics.
Start With Why: Build Product Progress with a Strong Data Culture
Have you ever thought your product's progress was headed in one direction, and been shocked to see a different story reflected in big picture KPIs like revenue? It can be confusing when customer feedback or metrics like registration or retention are painting a different picture. No matter how sophisticated your analytics are, if you're asking the wrong questions - or looking at the wrong metrics - you're going to have trouble getting answers that can help you.
Join Nima Gardideh, CTO of Pearmill, as he demonstrates how to build a strong data culture within your team, so everyone understands which metrics they should actually focus on - and why. Then, he'll explain how you can use your analytics to regularly review progress and successes. Finally, he'll discuss what you should keep in mind when instrumenting your analytics.
6 Steps to Transition Govt ICT effectiveness
The document discusses strategies for developing an effective government ICT strategy. It outlines six key pillars and provides a six step process to define goals, standards, policies and procedures to implement strategies. It emphasizes defining metrics to measure success and analyzing metrics to continually improve processes and strategies.
how to successfully implement a data analytics solution.pdf
The adoption of data analytics in business has demonstrated a transformative power in modern entrepreneurship. By analyzing vast reservoirs of data, businesses can make informed decisions, optimize operations and predict trends, thus fueling growth.
Sgcp14dunlea
The document discusses how utilities are increasingly collecting and generating large amounts of data from smart meters and other sensors. It notes that utilities must learn to leverage this "big data" by acquiring, organizing, and analyzing different types of structured and unstructured data from various sources in order to make more informed operational and business decisions. Effective use of big data can help utilities optimize operations, improve customer experience, and increase business performance. However, most utilities currently underutilize data analytics capabilities and face challenges in integrating diverse data sources and systems. The document advocates for a well-designed data management platform that can consolidate utility data to facilitate deeper analysis and more valuable insights.
02 a holistic approach to big data
The document outlines an agenda for a presentation on big data. It discusses key topics like the state of big data adoption, a holistic approach to big data, five high value use cases, technical components, and the future of big data and cloud. The presentation aims to provide an overview of big data and how organizations can take a comprehensive approach to leveraging their data assets.
Building a Data Strategy Your C-Suite Will Support
Being a data leader in any industry is an advantage that creates measurable financial benefits. Many studies have shown this – I’ve seen them from Bain, McKinsey, MIT and more. Since most firms are measured on profit, getting good at making data driven decisions is a key to being competitive. You can't get there without a plan. That is where a data strategy comes in.
In speaking with ~300 firms who indicated that their organizations were effective in using data and analytics, McKinsey found that construction of a data strategy was the number one contributing factor to their success. Being good at using data to drive decisions creates a meaningful profit advantage and those who are leaders indicated that the number one driver of their success was their data strategy.
This presentation will cover what a data strategy is, how to construct one, and how to get buy in from your executive team. The author is a former Fortune 500 Chief Data Officer and has held senior data roles at Capital One and Markel.
Here are a few helpful links for your data journey:
Free Data Investment ROI Template:
https://www.udig.com/digging-in/roi-calculator-for-it-projects/
Real world data use cases:
https://www.udig.com/our-work/?category=data
Contact Me:
https://www.udig.com/contact/
How to Use Data Analytics and Response Models to Reach, Realize, and Retain C...
Caserta Concepts (http://casertaconcepts.com/) and PNT Marketing Services (http://www.pntmarketingservices.com/), a leading provider of Customer Intelligence-based database marketing and analytic services, discussed how to turn your customer data into increased sales with predictive analytics and response modeling in a recent webinar.
Should You Integrate DataOps in Your Business Process?
Data is the lifeblood of any business. It holds information about customers and their behaviors, products, and services. It's also the lifeblood of any enterprise — it's what keeps the lights on, keeps employees productive, and helps companies stay ahead of their competition.
And DataOps can make data management more efficient!
Similar to InSTEDD: ASLM2018 - Planwise for data driven planning (20)
The Critical Role of Spatial Data in Today's Data Ecosystem
The Critical Role of Spatial Data in Today's Data Ecosystem
Better Living Through Analytics - Strategies for Data Decisions
Better Living Through Analytics - Strategies for Data Decisions
Big data analytics presented at meetup big data for decision makers
Big data analytics presented at meetup big data for decision makers
Data Science Introduction: Concepts, lifecycle, applications.pptx
Data Science Introduction: Concepts, lifecycle, applications.pptx
Start With Why: Build Product Progress with a Strong Data Culture
Start With Why: Build Product Progress with a Strong Data Culture
Start With Why: Build Product Progress with a Strong Data Culture
Start With Why: Build Product Progress with a Strong Data Culture
how to successfully implement a data analytics solution.pdf
how to successfully implement a data analytics solution.pdf
Building a Data Strategy Your C-Suite Will Support
Building a Data Strategy Your C-Suite Will Support
How to Use Data Analytics and Response Models to Reach, Realize, and Retain C...
How to Use Data Analytics and Response Models to Reach, Realize, and Retain C...
Should You Integrate DataOps in Your Business Process?
Should You Integrate DataOps in Your Business Process?
Recently uploaded
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
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
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
20240609 QFM020 Irresponsible AI Reading List May 2024
Everything I found interesting about the irresponsible use of machine intelligence in May 2024
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
Mind map of terminologies used in context of Generative AI
Mind map of common terms used in context of Generative AI.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
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.
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Recently uploaded (20)
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
InSTEDD: ASLM2018 - Planwise for data driven planning
- 1. Planwise: Data Driven Planning December 2018 | Geospatial planning tools for smarter decisions on services © InSTEDD
- 2. Data Gets Used Data Is Valued Data Gets Updated Increases in Value The Problem #1 - Core Data Service Issues in how resource and health system strengthening decisions are made
- 3. Planning to improve care, typically is done with: ● Limited data + ● Faulty assumptions + ● Selection Bias + = Irregular, Imprecise or $$ Consultants How can we facilitate data driven decisions, to maximize impact of services? The Problem #2 Issues in how resource and health system strengthening decisions are made
- 5. Complex Systems: ● 1000’s locations ● Millions of people ● Complex demand patterns Identify Where: →Too Far →Too Much Demand The Problem Issues in how resource and health system strengthening decisions are made
- 6. Demand Data Access Data Capacity Data OSM The Solution - How it Works Country Adjustments by Experienced GIS Experts Models & Algorithms Walking, Bike, Movement, DEM, RS PlanWise
- 7. Project Types Guided Workflow Planwise
- 8. Regional to Local Insights Customizable Scenarios 1
- 9. We can now: ● See where health inequity is most severe ● Model scenarios and associated costs for where we can have the most impact ● Understand selection bias of surveillance and monitoring strategies Benefits for Users Where the tool is now, what next steps we are exploring
- 12. We Don’t Know the Impact Yet - Want to help? ● We are assembling a group of researchers to iterate and continue to improve algorithms. ● We also want to compare traditional planning approaches to this one; to understand how many more people will have access per cost The Impact What Planwise can provide in terms of making a difference
- 13. Demand Data Access Data Capacity Data OSM The Solution - How it Works Country Adjustments by Experienced GIS Experts Models & Algorithms Walking, Bike, Movement, DEM, RS PlanWise
- 14. v1 Released ✓ Load Providers ✓ Demand for 6 countries ready ✓ Model walking, driving, distance Catchment ✓ Find best new, upgrades, enhancements by cost + impact ✓ **Getting Faster Feedback / Next Steps → Improve set-up workflow → Add customized algorithms → Add more demand data and modify → Combine scenarios in unified summary → Better Exports to 3rd party tools e.g., ArcGIS or Tableau Feedback and Next Steps Where the tool is now, what next steps we are exploring
- 15. How To Get Involved? The ASLM Team is Looking For… 1. Partners to help to collect lab data and run lab registries per country 1. Partners that want to use data to make smarter investments 1. Work with us to test it out with your programs. 4. Help with the code, this is all FOSS © InSTEDD, ASLM
- 16. Thank you! Scott Teesdale - Program Lead steesdale@instedd.org Twitter: @scotttees & @instedd Scan for slides
- 17. Except where noted, these slides are licensed by InSTEDD under Creative Commons BY-NC-SA. See the license here: http://creativecommons.org/licenses/by-nc-sa/4.0/