Webinar: Information Governance in the Age of AI

 

 

Information Governance in the Age of AI

Many Organizations are struggling with the best way to govern and manage the use of Generative AI in the enterprise.  There are many dimensions to this challenge ranging from ethical issues, data architecture and quality, legal and copywrite, operational and more. 

This is why a governance framework needs to be carefully designed and put into place so the business can make the most use of this truly revolutionary technology, reduce and mitigate risks, control costs, maintain a positive employee and customer experience and most importantly, find competitive advantage in the marketplace.

AI Governance Framework

What is a Governance Framework?

A governance framework consists of decision-making bodies, decision-making, rules/procedures, and mechanisms to ensure compliance with those rules.  It sounds straightforward but is notoriously difficult to operationalize and show value to business stakeholders. 

We at EIS have been champions of data, content, and information governance for decades. While many executives have little interest in governance, Generative AI is propelling to board-level visibility and decision-making.  AI Governance can be considered from multiple perspectives.

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Expand beyond insights

As AI becomes more widely deployed across organizations, designing and implementing a practical and adaptable governance framework is crucial.

We'll delve into AI governance elements and discuss how lessons learned from other technology governance programs can inform AI governance (especially Generative AI governance) today. 

Seth-Earley-CEO-Earley-Information-Science

Meet The Speaker

Seth Earley

Founder & CEO, Earley Information Science

An expert with 20+ years experience in Knowledge Strategy, Data and Information Architecture, Search-based Applications and Information Findability solutions.

Seth has worked with a diverse roster of Fortune 1000 companies helping them to achieve higher levels of operating performance by making information more findable, usable and valuable through integrated enterprise architectures supporting analytics, e-commerce and customer experience applications.

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Meet The Speaker

Dr. Thomas Blumer

DAP Thought Leader, Independent Consultant

With over two decades of knowledge management (KM) experience, Thomas has been instrumental in integrating KM practices into Fortune 500 companies and spearheading transformation within software companies through the adoption of disruptive technologies such as Artificial Intelligence (AI) and Digital Adoption Platforms (DAP).

Thomas's approach is characterized by a readiness to embrace challenges and a commitment to elevate businesses to their next level. His strategic vision and innovative methodologies have consistently delivered enhanced efficiency, productivity, and competitive advantage.