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[RECORDED] Artificial Intelligence Begins With Information Architecture

Building An AI-Powered Enterprise

Recorded Webcast

In this webinar we establish the formula for AI success:  AI-Powered solutions are only as good as the data that fuels them. Successful AI requires a semantic data layer built on a solid enterprise information architecture. We’ll demystify this topic for executives and provide actionable advice for data strategists.

Who should attend: Executives who care about AI and the data experts who enable them.

Speakers:

  • Seth Earley, Founder & CEO, Earley Information Science
  • Dave Skrobela, Managing Director, Earley Information Science

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Earley Information Science Team
Earley Information Science Team
We're passionate about enterprise data and love discussing industry knowledge, best practices, and insights. We look forward to hearing from you! Comment below to join the conversation.

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The Critical Element of Foundational Architecture

Recently I chaired the Artificial Intelligence Accelerator Institute Conference in San Jose – in the heart of Silicon Valley.  The event has brought together industry innovators from both large and small organizations, providing a wide range of perspectives. For example, the CEO of AI and ML testing startup of Kolena, Mohamed Elgendy and Srujana Kaddevarmuth, Senior Director, Data & ML Engineering, Customer Products, Walmart Global Tech discussed productization of AI solutions and ways to increase adoption. I especially liked the idea of a model catalogue from which data scientists can retrieve data sets and machine learning models that others have built rather than starting from scratch.