Enterprise AI leaders face a brand new set of challenges in 2025 — how can they deploy agentic AI, drive actual ROI and navigate evolving AI economics? At VB Rework 2025, a hand-picked group of AI executives — from LinkedIn, Financial institution of America, Intuit and extra — is shaping the agenda to ship essentially 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 ahead, what’s your subsequent transfer? Be part of us to get real-world methods straight from the leaders within the trenches. However spots are filling quick — safe your seat immediately!
Have an AI success story to share? Apply to talk and place your self as an trade chief. Need to get observed by AI decision-makers? Apply to sponsor now.
VB Rework 2025 committee members
Meet the committee members who’re serving to deepen VB Rework 2025 discussions:
- Deepak Agarwal, chief AI officer, LinkedIn
- Awais Sher Bajwa, head of knowledge and AI banking, Financial institution of America
- Fiona Tan, CTO, Wayfair
- Patrick Baginski, International VP – knowledge, knowledge science, knowledge engineering and machine studying engineering, AB InBev
- Ashok Srivastava, SVP and chief knowledge officer, Intuit
- Might Habib, CEO and co-founder, Author
- Invoice Braun, former CIO, Chevron
The important themes and large points shaping Rework 2025
Agentic AI: Hype vs. actuality. Each firm desires to leverage AI brokers—however what’s actually working in 2025? Leaders will separate reality from fiction, providing actual deployment classes.
Knowledge high quality: Enterprise leaders will discuss the necessity for high-quality, well-governed knowledge stays paramount — and why rubbish in, rubbish out has continued to be a important concern in knowledge lakes, knowledge integration, knowledge labeling and knowledge annotation. Legacy methods and disparate knowledge sources create important challenges, although options to handle these points are nonetheless rising.
ROI of AI: Shifting ahead, practicality and ROI are key, with the main target shifting from theoretical discussions to tangible enterprise worth. Learn the way enterprises can search confirmed use circumstances with clear ROI, particularly in areas like course of automation and improved buyer expertise.
Altering economics: The economics of AI proceed to evolve and can form ROI and enterprise worth. Inference prices and latency are quickly reducing, enabling extra complicated and complicated AI purposes, however questions stay in regards to the cost-effectiveness of various approaches, e.g., constructing vs. shopping for fashions) — what greatest practices are rising amongst leaders throughout industries?
Open supply: Whereas there’s cautious optimism about open-source AI fashions and infrastructure, pushed by transparency, price financial savings, and elevated management, execs warn that challenges stay relating to safety, upkeep and help — and can provide actionable methods ahead into the long run.
Seats are filling quick for Rework 2025 — safe your house immediately!
Share your success story and place your self as an trade chief — apply to talk now.
Join with AI decision-makers: apply to sponsor.
