Beyond Data Governance in the Age of AI

Beyond Data Governance in the Age of AI,” hosted by Kent Graziano and WhereScape explores the critical and dynamic role of data governance in the era of artificial intelligence.

AI Data Governance

As AI continues to revolutionize industries and organizations, the relevance of robust data governance comes to the forefront for harnessing the power of AI optimally.

The webcast kicks off by exploring the rapidly evolving AI landscape and its ramifications for businesses. It underscores that the effectiveness of AI hinges on the governance and integrity of the underlying data. Data governance, as a foundational practice, enables organizations to manage and regulate their data effectively, thus becoming a vital ingredient in successful AI initiatives.

Kent Graziano, a renowned expert in data governance, shares his insights on the importance of data governance in this new AI-driven era. We’ll cover how data governance aids organizations in attaining a holistic understanding of their data, including its semantics, relationships, and business context. Through well-executed data governance strategies, businesses can ensure the data supplied to AI algorithms is reliable, consistent, and pertinent.

Data Automation

WhereScape, a leading data infrastructure automation company, augments the conversation by illustrating how its data automation platform aligns with data governance principles. They exemplify how organizations can streamline the data governance process and expedite AI deployment through automated workflows, reducing time-to-value and enhancing agility.

What is Data Governance in AI?

Throughout the webcast, viewers will gain a solid comprehension of the interplay between data governance and AI. They become familiar with best practices for integrating data governance into their AI strategies, including data stewardship, standardization, and scalability. By appreciating the significance of data governance, attendees can unlock the full potential of AI and drive impactful business outcomes.

Who Should Watch:

  • Business Intelligence & data professionals
  • CDOs, CTOs, and other IT leaders
  • AI experts and enthusiasts

By registering, you confirm that you agree to the processing of your personal data by WhereScape, Inc. as described in the Privacy Statement. WhereScape, Inc. is part of the Idera group and may share your information with its parent company Idera, Inc., and its affiliates. For further details on how your data is used, stored, and shared, please review our Privacy Statement.

Learn more about our unique data productivity capabilities for these leading platforms

Deploy on Microsoft Azure and integrate with Microsoft applications.

Seamlessly work with Amazon Web Services (AWS).

Leverage a complete range of Google infrastructure and data solutions.

Ingest data from multiple sources and deliver more business insights.


Deliver a wider variety of real-time data for Al, ML and data science.

“It took the architects a day and a half to solve all four use cases. They built two Data Vaults on the host application data, linked the two applications together and documented the whole process. This was impressive by any standard. After that it was an easy process to get all the documents signed.”

Daniel Seymore, Head of BI, Investec South Africa

Read Case Study

"At seven months into the project we can say it really worked out. We have been able to really quickly develop an initial MVP for our first country and that was really good. The automation and the changes we needed to do were rapidly applied. We had to remodel a few things and that was done within a day with the automation in WhereScape."

Carsten Griefnow, Senior BI Manager

Read Case Study

"It’s like having five people with only really two people working on it."

Will Mealing, Head of Data & Analytics at L&G

Read Case Study


How PyD Revolutionized Their ERP System with WhereScape Data Automation

Download eBook →

Complimentary Gartner®: How are Organizations Overcoming Issues to Start Their Data Fabric or Mesh?

Read Whitepaper →

The Future of Data Warehousing: Understanding Automation Levels

Watch Webinar →

Interview: AVP of Enterprise Architecture about Data Automation at Genesee & Wyoming Inc

Watch Video →