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Nov 20 DATAVERSITY Demo Day – AI & Data Governance

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DATE: November 20, 2024

TIME: 8:00 AM – 12:45 PM Pacific / 11:00 AM – 3:45 PM Eastern — This event has concluded. Recordings to the sessions and the slides will be made available to all registrants within a couple of business days.

PRICE: Free to all attendees

Welcome to DATAVERSITY Demo Day, an online exhibit hall. We’ve had many requests from our data-driven community for a vendor-driven online event that gives you an opportunity to learn more about the available tools and services directly from the vendors that could contribute to your Data Governance program’s success.

Register to attend one or all of the sessions, or in order to receive the follow-up email with links to the slides and recordings.

Session 1: How to Accelerate Responsible AI Initiatives with End to End AI Governance

Join us for an insightful and interactive Demo Day Session, focusing on the critical aspects of Data and AI Governance. We will explore the latest advancements, strategies, and tools in data governance and artificial intelligence. Key highlights include in-depth demonstrations of IBM’s cutting-edge governance solutions, discussions on best practices for ensuring data quality, security, and compliance, as well as actionable insights into managing AI ethics. Attendees will have the opportunity to engage with experts, participate in live Q&A session, and network with peers to gain a comprehensive understanding of how robust data and AI governance can drive business success.

Don’t miss this opportunity to enhance your knowledge and stay ahead in the rapidly evolving field of data and AI governance.

Session 2: Collibra AI Governance: AI Starts with Trusted Data  

While AI is crucial to the success of organizations around the globe, without trusted data, your strategy may fall flat. 

Specifically designed for today’s data leaders, AI and risk teams, Collibra AI Governance provides full visibility and control, while ensuring the use of reliable data, across any tool, for every AI use case. 

Learn how Collibra AI Governance can improve AI model effectiveness and reduce data risk with capabilities that enable you to: 

  • Catalog and manage AI use cases 
  • Capture business context and value 
  • Ensure legal/compliance details are documented 
  • Gain full transparency into data driving AI models 

Session 3: How Leaders Can Empower Data Teams for the AI Era

Artificial intelligence (AI) and generative AI (GenAI) are crucial for staying competitive and driving efficiency and innovation. AI success hinges on navigating regulatory challenges and ensuring data is trusted, governed, holistic and democratized.

In this session, you will discover how to empower your teams through governed data and AI:

  • Drive business growth with a modern approach to AI and data governance.
  • Support AI initiatives with quality data sharing and democratization.
  • Create intelligent data transparency and health to scale business.
  • Meet changing compliance and regulatory standards.

Session 4: Data Governance is a Vitamin – Not a Band-Aid  

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AI and demands for more advanced data & analytics have transformed data governance as we know it.  No longer is data governance simply a reactive band-aid for compliance and regulatory reporting – governance has become the vitamin that powers your AI models, advanced data & analytics, and modern data architectures like data mesh and data fabric.   

Join us for a demonstration of the adaptive capabilities of the Precisely Data Governance service to address modern use cases, including:  

  • Governance for AI: Governance for experimental AI models in a sandbox that can be scaled in production maintaining trust and explainability  
  • Domain analytics governance: Ensuring trusted quality datasets for distributed roles and domain teams for data prep, analytics or creating data products supporting organizational requirements  
  • Operational governance: Enforcing data governance policies to the data created, maintained and house in operational/transactional applications.  
  • Enterprise controls:  Governance for enterprise critical data assets with centrally coordinated rules, policies, and standards 

Session 5: Elevating Data Governance in the Age of AI 

As AI continues to reshape industries, the importance of strong data governance has never been greater. Organizations need to ensure that their data is reliable, compliant, and accessible for AI-driven innovation to thrive. 

In this session, we will showcase a live demonstration of data.world’s approach to data governance, integrating AI to enhance data stewardship, privacy management, and regulatory compliance. See how our platform streamlines governance workflows and promotes transparency in data operations, empowering businesses to unlock AI’s full potential. 

Key Takeaways: 

  • Learn how AI can automate critical aspects of data governance, including metadata enrichment, access controls, and policy management at scale. 
  • Discover strategies for embedding governance into AI initiatives, ensuring ethical data usage and regulatory adherence. 
  • Explore use cases demonstrating how leading organizations use data.world to build AI-ready data ecosystems while maintaining governance and security standards. 
  • Gain insights into measuring the tangible impact of AI-augmented data governance on operational efficiency, risk mitigation, and innovation speed.