AI-Ready DataOps: Rethinking MDS for LLMs
In this session you will learn:
The shift from analytics-first to AI-first: what’s driving it and why it matters now
How traditional ELT pipelines are evolving to meet real-time AI needs
The new definition of “reliability” when LLMs are the end consumer of your data
Why orchestration and data movement must adapt for continuous, automated AI delivery
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Agenda
Today, data isn't just powering insights, it's fueling real-time decisions and AI/ML models. That means teams now face stricter requirements around data freshness, reliability, orchestration, and delivery speed.
In this webinar, Hugo Lu, CEO and Co-Founder of Orchestra will explore what it really means to build AI-first data operations — how leading data teams are adapting their infrastructure, workflows, and tooling to support this new era of model-driven development.
You’ll learn what changes, what stays the same, and how to modernize your approach without ripping everything apart.
Bonus: All registrants will receive a checklist for AI-Ready Data Infrastructure, including practical design considerations, common pitfalls, and key evaluation criteria.
Speaker
Hugo Lu
Speaker
Orchestra