Abstract:

As organizations scale their AI and analytics initiatives, they face challenges in ensuring efficient data delivery, governance, and collaboration across teams. A Lakehouse architecture combined with Data Product Hub enables seamless data access while maintaining security, compliance, and quality control. Join us for this webinar to explore how organizations can accelerate AI-driven insights by adopting scalable data delivery methods, leveraging data domains, and implementing custom workflows.

Key takeaways:

• Ensure efficient data delivery, governance, and collaboration across teams
• Empower individual teams to own and manage their data products
• Maintain consistency, best practices, and economies of scale without relying on centralized IT bottlenecks

Whether you're building a data-driven organization or modernizing your infrastructure, this session will provide actionable insights to optimize your data strategy. Register now to secure your spot!

Speaker:

• Spurthi Kommajosula - Product Manager, Data Product Hub at IBM

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Prabhu Duraiswamy
Demand Strategist
IBM Data and AI
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Excited to dive into the session focused on streamlined data delivery and improved collaboration across teams!

The webinar highlighted the key differences between data products and data projects, and how IBM Data Product Hub streamlines data sharing by enabling the creation, governance, and lifecycle management of high-quality, ROI-driven data products. It also demonstrated how IBM Data Product Hub makes the data lakehouse accessible to both business and technical consumers in a self-serve manner, empowering business users, analysts, data scientists, stewards, and engineers to unlock the full potential of enterprise data.

Register for the webinar replay: https://www.ibm.com/account/reg/us-en/signup?formid=urx-53542

The webinar highlighted the key differences between data products and data projects, and how IBM Data Product Hub streamlines data sharing by enabling the creation, governance, and lifecycle management of high-quality, ROI-driven data products. It also demonstrated how IBM Data Product Hub makes the data lakehouse accessible to both business and technical consumers in a self-serve manner, empowering business users, analysts, data scientists, stewards, and engineers to unlock the full potential of enterprise data.

Register for the webinar replay: https://www.ibm.com/account/reg/us-en/signup?formid=urx-53542

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Uttara Thakur

Product Marketing Manager, IBM Data Product Hub

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