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AI Events — Archive · Vol 338 Issue 2

14 articles that week

Monday, June 8th, 2026: 12:00 PM to 1:00 PM

Expert Panel: How To Make Enterprise Data Fit For Autonomous Decision-Making (June 8th)

Vol 338 · Issue 2 · 2026-05-15

Join Fern Halper, Ph.D., VP of research at TDWI, along with experts from Precisely and Reltio, as they examine what it takes to make enterprise data fit for autonomous and agentic AI systems. This webinar will explore how organizations can move from fragmented data environments to unified, trusted, and context-aware data foundations that support intelligent, automated decision-making.

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Expert Panel: How To Make Enterprise Data Fit For Autonomous Decision-Making (June 8th)

Monday, June 1st, 2026: 12:00 PM to 3:30 PM

TDWI: AI Strategy Bootcamp (June 1-5)

Vol 338 · Issue 2 · 2026-05-14

AI success requires more than experimentation-it demands clear strategy, strong governance, repeatable processes, and the ability to deliver measurable business value. This seminar brings together five top AI experts who will show you how to build a roadmap, operationalize AI, and prove success with meaningful performance metrics.

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TDWI: AI Strategy Bootcamp (June 1-5)

Monday, June 1st, 2026: 12:00 PM to 1:00 PM

Expert Panel: Unified Data Movement: How to Orchestrate Data for AI and Analytics (June 1st)

Vol 338 · Issue 2 · 2026-05-14

Join this Expert Panel to learn about important trends in solutions and practices enabling unified data movement so you can orchestrate data more efficiently for AI and analytics. Attendees will gain insights into the latest tools and architectures for automating data movement and streamlining data synchronization, replication, and delivery.

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Expert Panel: Unified Data Movement: How to Orchestrate Data for AI and Analytics (June 1st)

Wednesday, May 27th, 2026: 1:00 PM to 2:00 PM

The AI Reality Check - Operationalizing for Business Value (May 27th)

Vol 338 · Issue 2 · 2026-05-14

There has never been a megatrend as transformative as AI. 2023 unlocked new possibilities, 2024 brought new proof of concepts and 2025 was the year to prove the ROI and business value generation of AI. 2026 is the year of the AI reality check and organizations that successfully operationalize AI to drive concrete efficiency and measurable impact will be the ultimate winners

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The AI Reality Check - Operationalizing for Business Value (May 27th)

Thursday, May 21st, 2026: 12:00 PM to 2:00 PM

Building the Interoperable Lakehouse: A Data Foundation for Enterprise AI (May 21st)

Vol 338 · Issue 2 · 2026-05-14

In this webinar, TDWI research fellow Donald Farmer and an expert from Snowflake draw on recent research and real-world implementations to explore how Apache Iceberg and open catalog standards enable true bidirectional interoperability, how declarative pipelines reduce operational burden, and how unified governance turns a storage pattern into an AI-ready foundation.

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Building the Interoperable Lakehouse: A Data Foundation for Enterprise AI (May 21st)

Wednesday, May 20th, 2026: 1:00 PM to 2:00 PM

Test Smarter, Not Slower: AI-Driven Functional Testing (May 20th)

Vol 338 · Issue 2 · 2026-05-14

This webinar explores how AI-driven functional testing is helping teams modernize their testing strategies to better align with today's development speed. Attendees will learn how intelligent automation can assist with generating test cases, identifying the impact of code changes, and maintaining reliable coverage as applications evolve.

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Test Smarter, Not Slower: AI-Driven Functional Testing (May 20th)

Wednesday, May 20th, 2026: 11:00 AM to 12:00 PM

Bare Metal at AI Speed (May 20th)

Vol 338 · Issue 2 · 2026-05-14

You should attend if you want to know how market leaders: get the best ROI out of their infrastructure, manage mixed-OEM environments efficiently, scale their infrastructure, eliminate constant firefighting from manual operations, onboard machines in minutes, and keep systems up-to-date and compliant.

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Bare Metal at AI Speed (May 20th)

Tuesday, May 19th, 2026: 12:00 PM to 1:00 PM

The Rise of Agentic Identities: Who Governs AI Access to Data? (May 19th)

Vol 338 · Issue 2 · 2026-05-14

AI is accelerating the risks that CISOs already struggle to control, such as unmanaged data access, identity sprawl, and limited visibility into who (or what) is touching sensitive information. The real AI exposure sits in the data layer, where both human and agentic identities interact with sensitive data without consistent governance.

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The Rise of Agentic Identities: Who Governs AI Access to Data? (May 19th)