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TDWI Virtual Summit

Modern Data Stack 2026: Tools, Trends & Transformations

January 28, 2026

Free Half-Day Event

Achieve Peak Data Stack Performance – Modernization Starts Here

TDWI research shows that architecture modernization is a top priority to help organizations keep pace with increasing demand for data—from AI mandates to the expansion of self-service BI and analytics.

Companies that proactively prepare for technological shifts and new capabilities will gain a competitive edge in 2026 and beyond.

During this half-day TDWI virtual event, data leaders and practitioners will get briefed on market-level trends and opportunities in data architecture modernization, receive expert advice on tapping into these opportunities from experienced practitioners, and hear stories from organizations that have achieved success in modernizing their data foundations.

Free to Attend – Full Agenda Coming Soon

Topics will include:

  • The key drivers for architecture modernization, and how to link them to measurable success metrics
  • Patterns and paradigms for data management such as the data lakehouse and data fabric, and how to choose the best fit for your business
  • How open frameworks and libraries such as open table formats are changing architects’ approach to the enterprise data stack, and when they should be considered
  • Platform and technology considerations that comprise a modern data stack, from data management solutions for structured and unstructured data, to integration through agent-based solutions, to metadata management and baked-in governance
  • Implementation strategies that demonstrate business value through rapid and incremental roadmaps

What To Expect

TDWI’s complimentary Virtual Summit this January will prepare you to navigate upcoming challenges in data and analytics and forge the right path forward for your business.

What Makes a Summit Different?

  • One half day of high-quality content
  • Vendor-neutral sessions from TDWI analysts, faculty expert speakers, and case studies
  • Interactive Q&A sessions that may feature your questions
  • Peer networking opportunities
  • Engaging demos on the hottest tools and technologies in the exhibit hall
  • Opportunities to have fun and win prizes along the way

Connect with the Hottest Solutions in Data

Stay tuned for updates on the virtual summit's exclusive Demo Theater, Exhibit Hall, and more!

Summit Agenda

Track Key:
 Virtual Summit Breaks/Lunch
 NonClick
Wednesday, January 28, 2026
TIME EVENT
Wednesday
8:00 am - 8:15 am
 
Demo Theater Opens
Wednesday
8:15 am - 8:50 am
 
Architecture Modernization Trends and Opportunities: A TDWI Research Briefing and Panel Discussion

David Loshin, President, Knowledge Integrity and TDWI Fellow

Wednesday
8:55 am - 9:10 am
 
Spotlight Talk
Wednesday
9:15 am - 10:00 am
 
The Modern Data Stack: Powering Next-Generation BI, AI, and Advanced Analytics (with Audience Q&A)

Evan Levy, CBIP, Partner, Integral Data, LLC and TDWI Fellow

Wednesday
10:05 am - 10:20 am
 
Spotlight Talk
Wednesday
10:25 am - 11:10 am
 
Data Fabric Architecture (with Audience Q&A)

Pradeep Karpur, Partner, Technology Consulting - Data and Analytics (EY)

Wednesday
11:15 am - 11:30 am
 
Spotlight Talk
Wednesday
11:35 am - 12:05 pm
 
Lessons Learned in Architecture Modernization (with Audience Q&A)
Wednesday
12:10 pm - 12:25 pm
 
Spotlight Talk
Wednesday
12:30 pm - 12:40 pm
 
Key Takeaways

Chris Adamson, CBIP, Director of Education, TDWI

David Loshin, President, Knowledge Integrity and TDWI Fellow


Save your spot now for this free event!

Geared To

The TDWI Virtual Summit Series is geared to professionals in AI, BI, and data management with an interest in driving business impact using data.

  • Architecture directors and managers
  • Cloud, data integration, and DevOps engineers
  • Data governance managers and directors, data stewards
  • AI, machine learning, or analytics directors and managers
  • Business executives and managers
  • CIOs, CDOs, CAOs, VPs, and directors of IT

Share this event with your colleagues and industry connections who work in data!