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.
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