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RESEARCH & RESOURCES

Available On-Demand - This webinar has been recorded and is now available for download.

Expert Panel: Data Management in the Age of AI

Webinar Speaker: James Kobielus, Senior Research Director for Data Management

Date: Monday, July 29, 2024

Time: 9:00 a.m. PT / 12:00 p.m. ET

TDWI sees data management practices, platforms, and tools evolving rapidly to support diverse AI use cases. By the same token, AI is a key element in modern data management environments.

Generative AI, powered by LLMs and other advanced neural net algorithms, is driving fresh innovations in data platforms, analytics, governance, and beyond. AI-infused tools are helping enterprises automate, augment, and accelerate many data management functions and thereby reduce costs, scale workloads, and improve service levels.

In this panel, TDWI senior research director James Kobielus will engage data and analytics experts in an in-depth discussion of how AI is being used to improve data management. The discussion will focus on several key issues:

  • How should enterprises incorporate vector databases into their next-generation data analytics architectures?
  • What are the advantages and limitations of prompt-based, LLM-driven, automated coding of ETL and other data engineering logic?
  • How should enterprises rearchitect their data fabrics to support the expected demand for multimodal applications of generative AI?
  • Should enterprises implement separate lakehouses for managing synthetic data in support of MLOps use cases?
  • What new governance approaches are most promising for reducing hallucinations, mitigating toxic outputs, and ensuring ethical behavior from generative and other next-generation AI applications?
  • How should enterprises improve their data observability architectures to support automated generative rollup of logs and metadata into narratives in support of issue detection and root cause analysis?
  • Is generative data query optimization the wave of the future?

Guest Speakers

David Jayatillake
VP of AI
Cube

David Jayatillake is currently the VP of AI at Cube. Before Cube, he founded Delphi Labs, an AI company that provides a natural language interface to data while ensuring safe answers and guardrails. David is a data leader with experience in credit, payments, pricing, revenue management, e-commerce, and retail. He is commercially astute, with strong C-level and global stakeholder management, and a collaborator with good presentation skills and an ambition to improve business performance.

Colin Dover
Business Technology Platform, Center of Excellence
SAP

As part of the SAP Business Technology Platform Center of Excellence, Colin represents a breadth of solutions within the SAP portfolio; he is an evangelist for the SAP digital transformation strategy and vision as well as a passionate advocate for the value and best practices of corporate customer data strategy and analytics capability maturity.  He has held a variety of technical and strategic consulting roles at a number of market-leading enterprise software vendors gaining extensive experience over a 24-year period, working with many of the world’s leading corporations.

James Kobielus


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