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AI isn't failing because of models. It's failing because data arrives too late, lacks context, or breaks under production demands.
Real-time data is becoming essential for AI. In fact, 84% of data leaders say streaming is essential for AI success, according to recent industry research.
This shift to real-time, continuous data isn't just about streaming. It's driving new decisions around databases, data platforms, pipelines, and data delivery. How data flows end-to-end is now critical to supporting AI, analytics, and real-time decision-making.
This roundtable focuses on what's actually changing across data and analytics systems and how organizations are making data usable the moment it's needed.
What You'll Learn
- Where AI systems break when data is delayed or inconsistent
- How to capture, process, and deliver data in real time at scale
- What it takes to make data usable the moment it's created
- Which decisions matter most for real-time workloads
Register Now to attend the webinar Fueling AI With Real-Time Data: New Technologies and Strategies. Don't miss this live event on Thursday, November 12, 11 AM PT / 2 PM ET.
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MODERATOR |
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Robert Stanley
Senior Director of Special Projects
Melissa Informatics |
Alison Huselid
Chief Product Officer
Simba |
Kevin Hu
Staff Product Manager, Data Observability
Datadog |
Susan Laine
Chief Data Technologist
Quest Software |
Stephen Faig
Research Director,
Unisphere Research and DBTA |
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