VB Transform 2026

Orchestrating AI Autonomy

July 14-15, 2026
Hotel Nia, Menlo Park

2

 Intensive days of blueprints, research reveals, and closed-door roundtables

600+

Technology decision-makers building the next wave of AI in one place

5

Building Blocks of the modern agentic stack, dissected live with exclusive data

0

Vendor pitches. Zero fluff. Independent analysis only

The Pilot Era is Over.
The Agentic AI Era is Here.

Enterprises have moved beyond chatbots and are now building complex, multi-step agentic AI processes that run for hours or days to handle end-to-end business functions. But with that comes the need for agentic AI orchestration, LLM observability, RAG infrastructure, inference optimization, and agentic AI security guardrails. VB Transform 2026 is where it all comes together.

The One Question

That Matters

How do we orchestrate autonomy at scale?

Two days. The people actually building this. No panels rehashing the basics, just the hard conversations happening at the frontier of agentic AI, from the teams who are already there.

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One core mission.
Five strategic pillars.

01

Enterprise Agentic Orchestration

Moving beyond single-task bots to multi-agent systems that reason, plan, and execute.

Orchestration Stack
Agent-to-Agent Protocols
Conductor Model Selection
Multi-Agent Coordination
02

RAG Infrastructure & Data Pipelines

Your orchestration layer is only as good as what's underneath it. Most enterprise data isn't ready.

Vectorized Knowledge Bases
Data Readiness
Context Window Management
03

LLMOps: Building the Self-Learning System

This block covers how to turn observability metrics into active feedback loops for self-healing and evolution.

Real-time feedback loops
Automated recovery strategies
LLM-as-a-Judge
04

Inference Platforms & Compute Optimization

Autonomy is expensive. We explore tokenomics.

Reducing tokens-per-second costs
Vertical integration
GPU vs. ASIC
05

Agentic AI Security & Identity

When agents take actions, who is responsible when there’s a data leak?

Runtime policies
Prompt injection defense
Data governance
Identity and access management
Managing non-human identities

VB Speakers

Meet the visionaries and builders taking the stage in 2026.

Anirban Kundu

Anirban Kundu

Chief Technology Officer,Instacart

Anirban Kundu

Chief Technology Officer,Instacart

Oversees Instacart’s technology vision and engineering execution. Before joining Instacart, Kundu led Uber Delivery's Engineering team. Prior to that, Kundu was responsible for Product and Engineering at Postmates and served as CTO of Evernote. Kundu has extensive experience as a developer, having built Yahoo's mail delivery and anti-spam engines, its HTTP Edge router, and its early ML classifiers. At Shazam, he led the core recognition systems team, developed early versions of video recognition technology, and spearheaded on-device and GPU-based recognition capabilities.
Engineering
BS Computer Science, UC San Diego
Pedro Franceschi

Pedro Franceschi

CEO,Brex

Pedro Franceschi

CEO,Brex

At 13, Franceschi became the first person to jailbreak the iPhone 3G in Brazil. By 15, he co-founded payments company Pagar.me, scaling it to 100 employees and $1.5B in transactions in three years. After selling Pagar.me, he enrolled at Stanford and entered Y Combinator's Winter 2017 batch alongside Dubugras — where Brex was born. Today the platform powers financial operations for 35,000+ companies worldwide and has been recognized by CNBC's Disruptor 50, Forbes Cloud 100, Fast Company, and TIME100.
Agentic commerce
Arnab Bose

Arnab Bose

Chief Product Officer,Asana

Arnab Bose

Chief Product Officer,Asana

Leads the company's product strategy and innovation with a focus on advancing AI capabilities and expanding the platform's enterprise functionality. Has more than two decades of experience building large-scale enterprise platforms, most recently as Chief Product Officer at Okta. He previously held product leadership roles at Salesforce and Microsoft.
AI product strategy
BS Operations Research and Industrial Engineering, Cornell University
Greg Ulrich

Greg Ulrich

Chief AI & Data Officer,Mastercard

Greg Ulrich

Chief AI & Data Officer,Mastercard

Leads the enterprise-wide strategy for integrating AI and data across the business, including the Mastercard AI and Data Governance project, an initiative designed to ensure the ethical and effective integration of AI tech across the global organization. Also oversees the commercialization of new apps. Has served as the company’s EVP of Corporate Strategy and M&A.
AI integration
Data governance
MBA, Wharton School
BS Economics, Duke University
Siobhán McFeeney

Siobhán McFeeney

SVP, Technology,Target

Siobhán McFeeney

SVP, Technology,Target

Has over 30 years of experience leading technology and digital transformation across global brands, she’s known for pragmatic, transparent leadership and for building scalable, customer-centered technology that accelerates operational excellence and business growth.
Digital transformation
Masters, Finance, Trinity College Dublin
Rajat Taneja

Rajat Taneja

President of Technology,Visa

Rajat Taneja

President of Technology,Visa

Responsible for the company's technology innovation and investment strategy, product engineering, global IT and operations infrastructure. He joined Visa in November 2013. Prior to joining Visa, Taneja was EVP and CTO of Electronic Arts Inc.,responsible for platform engineering, data center operations and IT supporting the company's global customer base. He also worked at Microsoft, most recently as the Corporate Vice President, Commerce Division, and the General Manager and Corporate Vice President, Online Services Division.
IT operations
AI infrastructure
MBA, Washington State University
BE, Electrical Engineering, Jadavpur University
Nitzan Mekel-Bobrov

Nitzan Mekel-Bobrov

Chief AI Officer,eBay

Nitzan Mekel-Bobrov

Chief AI Officer,eBay

Leads eBay’s AI vision and strategy. Under his leadership, EBay has built and scaled AI across the company, driving AI-powered innovation with customer experiences like Magical Listing tools and hyper-personalized recommendations to buyers. Nitzan has led the AI efforts at some of the largest brands in healthcare, financial services, and ecommerce, spanning AI science, engineering, and product development.
Agentic commerce
Ph.D. computational genomics, Masters in Computer Science, University of Chicago
Xavier Amatriain

Xavier Amatriain

Chief AI & Data Officer,Expedia

Xavier Amatriain

Chief AI & Data Officer,Expedia

Leads Expedia Group's AI & Data organization, setting the long-term vision for AI, ML, and data science across the global travel platform. With 20+ years building advanced AI systems at Google (VP of AI and Compute Enablement), LinkedIn, and Netflix, Xavier brings deep expertise in scaling AI infrastructure — from the platforms powering Gemini and Google Search to applying generative AI for measurable impact across travel.
Applied generative AI
Universitat Pompeu Fabra PhD, Computer Science
Bryan Silverthorn

Bryan Silverthorn

Director, AGI Autonomy, Amazon

Bryan Silverthorn

Director, AGI Autonomy, Amazon

Under his direction, the AGI Lab has launched services including Nova Act, an agent building and management service with 90%+ reliability on early customer use cases. He joined Amazon from Adept AI, a pioneer in developing multimodal computer-use models capable of operating graphical interfaces. Was cofounder and CTO of Angaza, a fintech company that changed how renewable energy is financed in emerging markets.
AGI
AI agents
Ph.D. in Computer Science, The University of Texas at Austin
BS, Computer Science, Cornell University
Harrison Chase

Harrison Chase

Co-Founder and CEO,LangChain

Harrison Chase

Co-Founder and CEO,LangChain

Leads the company behind LangChain, the widely adopted open-source framework that's standardized how developers build LLM-powered applications, and LangGraph, a library for building stateful, multi-agent AI systems. Previously led ML teams at Robust Intelligence and Kensho. Harrison's work centers on "context engineering" — the idea that AI's next leap depends on the infrastructure connecting it to data, tools, and human workflows, turning AI from a chatbot into a tool that can execute complex, multi-step business processes.
Context engineering
Open source
BS, Statistics and Computer Science, Harvard
Nhung Ho

Nhung Ho

VP of Applied AI,Intuit

Nhung Ho

VP of Applied AI,Intuit

Leads Applied AI for the Global Business Solutions Group at Intuit. Her team is responsible for building the next generation of QuickBooks using AI. Prior to this role, she led Applied AI for the company spanning QuickBooks, TurboTax, and internal functions such as Customer Success and Finance. She thrives at the intersection of product, design, and AI and is interested in solving boring, unfashionable problems.
Applied AI
Product design
PhD in Astrophysics, Yale University
Bachelor’s in Astrophysics, UC Berkeley
Toby Roberts

Toby Roberts

Senior Vice President of Engineering,Zillow

Toby Roberts

Senior Vice President of Engineering,Zillow

Leads a team of more than 500 engineers across product development, data platforms, AI enablement, fintech, and enterprise technology. With more than 20 years of experience at Fortune 50 and high-growth companies including Amazon, he has scaled cloud-native platforms, modernized architectures, and applied AI to solve complex business challenges. Toby is known for building inclusive, high-performance teams and delivering transformative technology solutions that power both consumer experiences and enterprise operations at scale.
AI product development
BS, Arizona State University
João Moura

João Moura

CEO,CrewAI

João Moura

CEO,CrewAI

With over 20 years of experience with Software Engineering, previously, as Director of AI Engineering at Clearbit, he transformed AI into a core profit driver. João also founded Urdog, an IoT startup, where he developed a smart collar for dogs. He’s held extensive experience in engineering leadership roles at Toptal and Packlane, and specializes in building high-performing teams and implementing scalable AI and machine learning.
Software engineering
Scalable AI
MBA in InformationTechnology from FIAP
Ryan Phillips

Ryan Phillips

Head of Product,Enterprise Runway

Ryan Phillips

Head of Product,Enterprise Runway

Leading enterprise AI tools and real-time models, such as Runway Characters. Previously, he led product at Sourcegraph and was an Entrepreneur-in-Residence at SAP.iO. He lectures at Stanford's d.school on AI futures, design thinking and inclusion and has spent his career at the intersection of AI and creativity.
Real-time AI models
Master and BS, Computer Science, University of Oklahoma
Arvind Jain

Arvind Jain

Founder and CEO,Glean

Arvind Jain

Founder and CEO,Glean

Oversees the overall direction and strategy of the company, aiming to transform the way knowledge workers interact with AI to enhance their productivity and creativity. Prior to Glean, Arvind co-founded and led R&D at Rubrik, one of the fastest-growing companies in cloud data management. Spent over a decade at Google as a distinguished engineer, where he led teams in Google’s Search, Maps, and YouTube products. Earlier in his career, Arvind held leadership positions at Akamai and Microsoft.
AI for productivity
Master's in Computer Science, University of Washington
Emilie Schario

Emilie Schario

Co-Founder and VPE, Kilo Code

Emilie Schario

Co-Founder and VPE, Kilo Code

Focuses on turning AI investment into real engineering output, working at the intersection of AI tooling, org design, and high-performing teams. Emilie's work emphasizes the unglamorous side of AI adoption: building the frameworks, workflows, and internal tooling that let engineers own outcomes, experiment effectively, and move fast without sacrificing quality or trust.
Vibe coding
MBA, UNC Kenan-Flagler Business School
BA, Princeton University
James Zou

James Zou

Assoc. Professor Biomed Data Science/CS/EE,Stanford

James Zou

Assoc. Professor Biomed Data Science/CS/EE,Stanford

He works on developing cutting-edge AI for biomedical applications. His group developed many widely used innovations including EchoNet AI (FDA cleared for assessing cardiac function), Gradio (used by over a million developers), and SyntheMol (NY Times 2024 Good Tech). He has received the Overton Prize, Sloan Fellowship, NSF CAREER Award, two Chan-Zuckerberg Investigator Awards, a Top Ten Clinical Achievement Award, best paper awards at ICML and other AI conferences, and faculty awards from Google, Amazon, Adobe and Apple.
Data science
Biomedical AI
PhD in Philosophy, Harvard

2026 Sponsors

Rubrik
Atlassian
Celigo

Why Sponsor
VB Transform 2026

Lead the conversation shaping the future of connected, intelligent enterprise systems.

Become a Sponsor
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Hotel Nia

200 Independence Dr, Menlo Park, CA 94025

Orchestrating AI autonomy
starts here. Join the conversation that defines what’s next.

FAQ

Q1: Who attends VB Transform?

Builders, not tourists. Product leaders, infrastructure engineers, data & AI engineers from companies like Walmart, Salesforce, Google Cloud, and OpenAI.

Q2: Is this just another AI hype fest?

Hard no. Zero vendor pitches, zero buzzwords. Every session is built around a real problem, with real people solving it.

Q3: What will I actually walk away with?

A clearer picture of how agentic AI leaders are tackling the same problems keeping you up at night.

Q4: What do the two days look like?

Main stage sessions with agentic AI leaders, closed-door roundtables where people say what they actually think, over six hours of networking and workshops, and enough breathing room to have the conversations you came for.

Q5: How do I register for VB Transform?

Join the event on July 14-15, Hotel Nia, Menlo Park. Register here →