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Data Governance and Digital Transformation

Governance is often thought of as a boring endeavor - a tedious activity that is needed for compliance but is neither innovative nor creative. True, the mechanics of governance can be routine as well as highly detailed.  But - governance also lies at the root of digital transformation and is therefore a critical part of every strategic initiative in an organization.

In this 20-page ebook you'll gain insights on:

  • how to develop the strategic, tactical, and advisory layers of a governance framework
  • describe several governance models
  • how governance facilitates more rapid organizational change

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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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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.