AI Data Acquisition and Governance: Considerations for SuccessDatabricks
data pipeline, governance, and for growth and updating models regularly needs to be part of the AI strategy from the outset.
This session will cover:
Defining AI governance: What this means and how definitions of subjects like ethics and effectiveness can differ between organizations.
Data governance: Companies must rely on an AI governance program to ensure only high-quality, unbiased and consistent data are used in training.
AI is a growing necessity for enterprises / businesses; it provides an avenue for scaling quickly and efficiently.
Best practices / implementation: how to implement AI that meets the requirements of the organization’s defined sets of governances.
Planning the data pipeline and growing/updating the models: AI is not static in the real world; models must be frequently updated to maintain relevance and accuracy.
3 key takeaways or attendee benefits of the session:
Understand how to assess your organization’s need for AI; how to identify the opportune areas for transforming processes, interactions, scaling, cost.
How to start the implementation process. Defining data and AI governance and how to build the training data pipeline within that framework.
Best practices for maintaining AI; how to use data to evaluate models and continuously iterate on them to reflect the real world.
AI Data Acquisition and Governance: Considerations for SuccessDatabricks
data pipeline, governance, and for growth and updating models regularly needs to be part of the AI strategy from the outset.
This session will cover:
Defining AI governance: What this means and how definitions of subjects like ethics and effectiveness can differ between organizations.
Data governance: Companies must rely on an AI governance program to ensure only high-quality, unbiased and consistent data are used in training.
AI is a growing necessity for enterprises / businesses; it provides an avenue for scaling quickly and efficiently.
Best practices / implementation: how to implement AI that meets the requirements of the organization’s defined sets of governances.
Planning the data pipeline and growing/updating the models: AI is not static in the real world; models must be frequently updated to maintain relevance and accuracy.
3 key takeaways or attendee benefits of the session:
Understand how to assess your organization’s need for AI; how to identify the opportune areas for transforming processes, interactions, scaling, cost.
How to start the implementation process. Defining data and AI governance and how to build the training data pipeline within that framework.
Best practices for maintaining AI; how to use data to evaluate models and continuously iterate on them to reflect the real world.
Mike Ferguson, managing director of Intelligent Business Strategies, highlights his top ten worst practices in Master Data Management (MDM) in this Information Builders webinar slideshow.
January 2024. Sustainable IT (Information Technology), also called Green IT, includes the development, manufacturing, utilization, management, and disposal of Information Technology in ways that are resource-efficient and environmentally responsible.
Sustainable IT benefits: (1) Cost savings: energy, water, resources, materials, and waste management (2) Enterprise social image enhancement: many customers prefer to buy from businesses with sustainable practices (3) Positive environmental impact: less emissions and waste generation maximized by the use of clean renewable energy sources.
Sustainable IT challenges: (1) High initial costs (2) Lack of green software (3) Lack of coding standards (4) Lack of implementation experience (5) Difficulty in identifying optimum sustainable practices (6) High energy use and emissions during development.
Sustainable IT implementation steps using Artificial intelligence (AI): (1) Reduce emissions and water consumption (2) Improve energy efficiency (3) Monitor compliance (4) Benchmark sustainability efforts (5) Improve social impact and data governance.
A green data center is an enterprise-class data center that is entirely designed, run, and operated using green technologies to maximize energy efficiency and minimize the carbon footprint.
Examples of green technologies include software optimization, artificial intelligence, multi-site resilience, liquid cooling, renewable energy, waste heat utilization, idle time minimization, smart grids, and efficient lighting.
Policy wise, in September 2023, the SDG Digital Summit was launched with the aim of scaling digital SDG solutions through high impact initiatives. The SDG Digital Acceleration Agenda is a collaboration between the International Telecommunication Union (ITU) and the United Nations Development Program (UNDP) that highlights the importance of digital technologies in achieving 70% of the 169 Sustainable Development Goals (SDGs).
In this slideshow, you will learn about the definition, benefits, challenges, green data center, green technologies, UN policy, global statistics, and market value of the sustainable IT industry. For more slideshows on environmental sustainability, please visit s2adesign.com
SuperWeek 2023 - Building the case for Digital AnalyticsLukáš Čech
Even though the resources are always limited it might be tempting to focus on collecting data the right way instead of collecting the right data.
Lukas shares a structured approach to gather, understand and prioritize requirements for digital analytics projects for larger enterprises using Adobe Analytics, Piwik/Matomo, Snowplow, Exponea/Bloomreach, Meiro to just name a few he has experience with.
Knowledge Graphs are Worthless, Knowledge Graph Use Cases are PricelessEnterprise Knowledge
At Knowledge Graph Forum 2022, Lulit Tesfaye and Sara Nash, Senior Consultant discuss the importance of establishing valuable and actionable use cases for knowledge graph efforts. The discussion draws on lessons learned from several knowledge graph development efforts to define how to diagnose a bad use case and outlined their impact on initiatives - including strained relationships with stakeholders, time spent reworking priorities, and team turnover. They also share guidance on how to navigate these scenarios and provide a checklist to assess a strong use case.
An overview of the benefits of using both taxonomies and metadata to make your information easier to search. Presentation by Alice Redmond-Neal of Access Innovations, Inc.
TIC-TOC: How to Manage Critical Events and Return to Work After a Pandemic wi...SaraPia5
Dominique Singer will be joined by Annie Ansrari from Everbridge to discuss how to manage critical events and return to work after a pandemic. Everbridge is a critical event management platform that enables customers to work through the lifecycle of disruptive events by helping assess risk, locate people and places at risk, take action to mitigate risk, and help improve performance with analytics about the critical event. Our Channel partner program is built with partner success in mind, particularly the ability to reach greater profitability as the partnership grows. We provide technical and sales training, and access to the Partner Portal for product support, marketing programs and tools, customer events, compelling marketing collateral, and sales training.
How the Analytics Translator can make your organisation more AI drivenSteven Nooijen
Today, about 80% of companies considers data as an essential part of their strategy. However, although most of these companies are taking models into production, they still have trouble turning their data and insights into valuable AI solutions. With businesses heavily invested in data and AI, what is it that actually makes the difference for being successful with AI?
In this talk, I will argue that the extent to which AI is embedded in the organisation is crucial to success. Furthermore, I will show why the Analytics Translator is the designated person to drive AI adoption by the business and what his or her tasks should look like. The insights shared come from our own experience as consultants as well as interviews with top Dutch enterprises about their AI maturity.
Data Catalog for Better Data Discovery and GovernanceDenodo
Watch full webinar here: https://buff.ly/2Vq9FR0
Data catalogs are en vogue answering critical data governance questions like “Where all does my data reside?” “What other entities are associated with my data?” “What are the definitions of the data fields?” and “Who accesses the data?” Data catalogs maintain the necessary business metadata to answer these questions and many more. But that’s not enough. For it to be useful, data catalogs need to deliver these answers to the business users right within the applications they use.
In this session, you will learn:
*How data catalogs enable enterprise-wide data governance regimes
*What key capability requirements should you expect in data catalogs
*How data virtualization combines dynamic data catalogs with delivery
Mike Ferguson, managing director of Intelligent Business Strategies, highlights his top ten worst practices in Master Data Management (MDM) in this Information Builders webinar slideshow.
January 2024. Sustainable IT (Information Technology), also called Green IT, includes the development, manufacturing, utilization, management, and disposal of Information Technology in ways that are resource-efficient and environmentally responsible.
Sustainable IT benefits: (1) Cost savings: energy, water, resources, materials, and waste management (2) Enterprise social image enhancement: many customers prefer to buy from businesses with sustainable practices (3) Positive environmental impact: less emissions and waste generation maximized by the use of clean renewable energy sources.
Sustainable IT challenges: (1) High initial costs (2) Lack of green software (3) Lack of coding standards (4) Lack of implementation experience (5) Difficulty in identifying optimum sustainable practices (6) High energy use and emissions during development.
Sustainable IT implementation steps using Artificial intelligence (AI): (1) Reduce emissions and water consumption (2) Improve energy efficiency (3) Monitor compliance (4) Benchmark sustainability efforts (5) Improve social impact and data governance.
A green data center is an enterprise-class data center that is entirely designed, run, and operated using green technologies to maximize energy efficiency and minimize the carbon footprint.
Examples of green technologies include software optimization, artificial intelligence, multi-site resilience, liquid cooling, renewable energy, waste heat utilization, idle time minimization, smart grids, and efficient lighting.
Policy wise, in September 2023, the SDG Digital Summit was launched with the aim of scaling digital SDG solutions through high impact initiatives. The SDG Digital Acceleration Agenda is a collaboration between the International Telecommunication Union (ITU) and the United Nations Development Program (UNDP) that highlights the importance of digital technologies in achieving 70% of the 169 Sustainable Development Goals (SDGs).
In this slideshow, you will learn about the definition, benefits, challenges, green data center, green technologies, UN policy, global statistics, and market value of the sustainable IT industry. For more slideshows on environmental sustainability, please visit s2adesign.com
SuperWeek 2023 - Building the case for Digital AnalyticsLukáš Čech
Even though the resources are always limited it might be tempting to focus on collecting data the right way instead of collecting the right data.
Lukas shares a structured approach to gather, understand and prioritize requirements for digital analytics projects for larger enterprises using Adobe Analytics, Piwik/Matomo, Snowplow, Exponea/Bloomreach, Meiro to just name a few he has experience with.
Knowledge Graphs are Worthless, Knowledge Graph Use Cases are PricelessEnterprise Knowledge
At Knowledge Graph Forum 2022, Lulit Tesfaye and Sara Nash, Senior Consultant discuss the importance of establishing valuable and actionable use cases for knowledge graph efforts. The discussion draws on lessons learned from several knowledge graph development efforts to define how to diagnose a bad use case and outlined their impact on initiatives - including strained relationships with stakeholders, time spent reworking priorities, and team turnover. They also share guidance on how to navigate these scenarios and provide a checklist to assess a strong use case.
An overview of the benefits of using both taxonomies and metadata to make your information easier to search. Presentation by Alice Redmond-Neal of Access Innovations, Inc.
TIC-TOC: How to Manage Critical Events and Return to Work After a Pandemic wi...SaraPia5
Dominique Singer will be joined by Annie Ansrari from Everbridge to discuss how to manage critical events and return to work after a pandemic. Everbridge is a critical event management platform that enables customers to work through the lifecycle of disruptive events by helping assess risk, locate people and places at risk, take action to mitigate risk, and help improve performance with analytics about the critical event. Our Channel partner program is built with partner success in mind, particularly the ability to reach greater profitability as the partnership grows. We provide technical and sales training, and access to the Partner Portal for product support, marketing programs and tools, customer events, compelling marketing collateral, and sales training.
How the Analytics Translator can make your organisation more AI drivenSteven Nooijen
Today, about 80% of companies considers data as an essential part of their strategy. However, although most of these companies are taking models into production, they still have trouble turning their data and insights into valuable AI solutions. With businesses heavily invested in data and AI, what is it that actually makes the difference for being successful with AI?
In this talk, I will argue that the extent to which AI is embedded in the organisation is crucial to success. Furthermore, I will show why the Analytics Translator is the designated person to drive AI adoption by the business and what his or her tasks should look like. The insights shared come from our own experience as consultants as well as interviews with top Dutch enterprises about their AI maturity.
Data Catalog for Better Data Discovery and GovernanceDenodo
Watch full webinar here: https://buff.ly/2Vq9FR0
Data catalogs are en vogue answering critical data governance questions like “Where all does my data reside?” “What other entities are associated with my data?” “What are the definitions of the data fields?” and “Who accesses the data?” Data catalogs maintain the necessary business metadata to answer these questions and many more. But that’s not enough. For it to be useful, data catalogs need to deliver these answers to the business users right within the applications they use.
In this session, you will learn:
*How data catalogs enable enterprise-wide data governance regimes
*What key capability requirements should you expect in data catalogs
*How data virtualization combines dynamic data catalogs with delivery