Top AI leaders are shaping VB Transform 2025 — here’s what’s next for enterprise AI

Enterprise AI leaders face a new set of challenges in 2025 — how can they deploy agentic AI, drive real ROI and navigate evolving AI economics? At VB Transform 2025, a hand-picked group of AI executives — from LinkedIn, Bank of America, Intuit and more — is shaping the agenda to deliver the most actionable, no-fluff insights.

“The goal is a VB Transform program that serves the needs of executives by addressing questions, challenges and strategic priorities that execs are facing, and provide blueprints for driving AI initiatives forward,” says Matt Marshall, CEO of VentureBeat. “Our attendees will learn how to implement practical agentic AI applications at scale, directly from industry leaders already in the trenches.”

As AI hurtles forward, what’s your next move? Join us to get real-world strategies directly from the leaders in the trenches. But spots are filling fast — secure your seat today!

Have an AI success story to share? Apply to speak and position yourself as an industry leader. Want to get noticed by AI decision-makers? Apply to sponsor now.

VB Transform 2025 committee members

Meet the committee members who are helping deepen VB Transform 2025 discussions:

• Deepak Agarwal, chief AI officer, LinkedIn
• Awais Sher Bajwa, head of data and AI banking, Bank of America
• Fiona Tan, CTO, Wayfair
• Patrick Baginski, Global VP – data, data science, data engineering and machine learning engineering, AB InBev
• Ashok Srivastava, SVP and chief data officer, Intuit
• May Habib, CEO and co-founder, Writer
• Bill Braun, former CIO, Chevron

The critical themes and big issues shaping Transform 2025

Agentic AI: Hype vs. reality. Every company wants to leverage AI agents—but what’s truly working in 2025? Leaders will separate fact from fiction, offering real deployment lessons.

Data quality: Business leaders will talk about the need for high-quality, well-governed data remains paramount — and why garbage in, garbage out has continued to be a critical concern in data lakes, data integration, data labeling and data annotation. Legacy systems and disparate data sources create significant challenges, though solutions to address these issues are still emerging.

ROI of AI: Moving forward, practicality and ROI are key, with the focus shifting from theoretical discussions to tangible business value. Learn how enterprises can seek proven use cases with clear ROI, especially in areas like process automation and improved customer experience.

Changing economics: The economics of AI continue to evolve and will shape ROI and business value. Inference costs and latency are rapidly decreasing, enabling more complex and sophisticated AI applications, but questions remain about the cost-effectiveness of different approaches, e.g., building vs. buying models) — what best practices are emerging among leaders across industries?

Open source: While there’s cautious optimism about open-source AI models and infrastructure, driven by transparency, cost savings, and increased control, execs warn that challenges remain regarding security, maintenance and support — and will offer actionable ways forward into the future.

Seats are filling fast for Transform 2025 — secure your place today!

Share your success story and position yourself as an industry leader — apply to speak now.

Connect with AI decision-makers: apply to sponsor.