VB Transform 2025

AI hype is cheap.
Execution is rare.

VB Transform is the independent AI summit where the most forward-thinking enterprise leaders come to share what’s working—and what’s next. From enterprise decision makers to the builders behind today’s most promising agentic frameworks, this is where AI ambition meets operational reality.

This year, the focus is sharper than ever:

Agentic AI

ROI & Cost Efficiency

Enterprise-Grade Orchestration

Candid Lessons from the Front Lines

Who attends?

VB Transform brings together leaders across finance, healthcare, tech, retail, and manufacturing—from the C-suite to heads of product, data, and AI. You’ll be in the room with:

AI and data execs building orchestration layers on top of LLMs

Infrastructure leaders scaling multi-agent systems and AI workflows

Product owners navigating RAG, alignment, hallucinations, and ROI

Innovators pushing beyond copilots into reasoning and autonomy

The blueprint for scaling

Infrastructure, orchestration, agent frameworks, inference, and securing the AI stack.

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Execution across the enterprise

How top companies are deploying AI agents, copilots, and GenAI platforms across industries—from banking and healthcare to ecommerce and energy.

Agents rising

Hot Take: Forget chatbots—enterprise AI agents are becoming the new operating layer for work.

We’re entering a phase where AI agents don’t just assist, they collaborate, reason, and execute across enterprise systems. But which frameworks—AutoGen, LangChain, custom orchestrators—are truly battle-tested in the wild? And how do you get from brittle prototypes to structured, multi-agent systems with real value flow?

The ROI reckoning

Hot Take: If your GenAI project doesn’t pay off by Q4, your CFO is pulling the plug.

Enterprises are sitting on thousands of AI pilots—but only a few are turning into scaled systems that drive real revenue, cost reduction, or efficiency gains. We deliver the cold, hard math behind successful deployments: which use cases are paying off, how to measure impact in

The new data layer

Hot Take: Everyone’s fine-tuning models, but no one’s feeding them right.

Garbage in, hallucination out. Your AI is only as good as your data pipeline—and most companies are still duct-taping unstructured inputs into half-baked models. Explores how technical leaders are re-architecting data foundations: from governance and quality to retrieval-augmented generation (RAG), synthetic data, and real-time observability.

The computer reckoning

Hot Take: You don’t need the biggest model—you need the smartest stack.

As inference costs spike and GPU supply chains tighten, the enterprises that win are those who master model strategy and compute tradeoffs. From running Groq's blazing-fast inference chips to rethinking open-weight model tuning, this track lays out the path to affordable, performant AI—without breaking your budget or your team.