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LIVE EVENT

The AI Summit
New York

December 11-12, 2024
Javits Center, New York

Featured Session:

December 11, 10:35 AM ET | Gen AI Stage

Topic: Dynamically Managing Generative AI Data in the "Compliance Era"

Join Greg Whalen, Prove AI's CTO, as he addresses the critical challenges organizations face in balancing innovation with regulatory compliance. This session will explore how distributed ledger technology offers a solution, creating fully observable and auditable data stores to ensure greater control and transparency of generative AI training data.
AI-Summit-NY

Join the Prove AI team at The AI Summit New York as we showcase our innovative AI governance solution, Prove AI. Discover how our technology transforms AI data management, helping organizations stay compliant and secure. Don't miss these opportunities to engage with our team: 

  • Booth #435 – Stop by for a demo, conversation, or to learn more about how Prove AI can support your AI initiatives.
  • Meet with Us – Schedule an appointment with our sales team.

Prove AI Attendees

gregwhalen
Greg Whalen
CTO, Prove AI

Growth-focused tech exec with proven success scaling SaaS and startups globally.

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Mrinal Manohar
CEO, Prove AI

Deep expertise in AI governance, formerly with Sagard Holdings, Bain Capital, Microsoft and more.

jimdrill
Jim Drill
VP of Sales, Prove AI

Results-driven leader with 30+ years in enterprise software, achieving IPOs and acquisitions.

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Ross Mackay
COO Prove AI

Passionate leader scaling tech globally, focused on people, strategy, and execution.

henry_guo
Henry Guo
Product Manager, Prove AI

AI-driven product leader with expertise in strategy, SaaS, and enterprise transformation.

NiamhOConnell-web
Niamh O'Connell
Enterprise Sales Lead, Prove AI

With nearly 10 years in blockchain, Niamh drives data governance, AI model trust, and scalable ROI.

Prove-AI Leadership Team - Michael-Dobak
Michael Dobak
CMO, Prove AI

20+ years in marketing specializing in building brands and driving growth for innovative tech solutions.

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Matt Coolidge
SVP Global Communications, Prove AI

15+ years in marketing specializing in tech and government sectors, from fintech to cybersecurity.

Better Together: Prove AI + Greyscale AI

Through its partnership with Prove AI, Greyscale AI has strengthened its ability to govern massive amounts of machine learning and x-ray imaging data used in detecting contaminants during food packaging. Prove AI's blockchain-based governance systems ensures that every inspection is securely recorded and verifiable, safeguarding the data from tampering. This partnership enables Greyscale AI to meet the highest standards of food safety compliance, providing its customers with enhanced traceability, transparency, and trust throughout the supply chain. 

About the Speaker

Greg Whalen

CTO  | Prove AI

Greg is CTO at Prove AI, bringing a wealth of experience scaling startup and enterprise SaaS businesses. Greg is focused on leading our product development team through launch and successful adoption of our AI Governance application, Prove AI.

Greg has launched and scaled multiple startups and new enterprise product lines. His teams have invented and operationalized efficient AI/ML components as part of these solutions across marketing, customer support, health care, and industrial sectors. Through his work applying AI to regulated use cases, he’s passionate about finding efficient, pragmatic solutions to emerging needs of AI Governance. Under his leadership, his high-availability products have consistently grown revenue 5x-10x while exceeding desired service levels.

Greg has a strong technical background and global leadership in product management, software development, and M&A. In the past, he has served as CTO for Xendit, a southeast Asia payments unicorn, GM for Amazon WorkMail, AWS’s public email messaging service, the Asia, Pacific and Japan director for Pivotal’s Data Science business, and product/engineering leader (VP/CTO) for Experian CheeahMail and Derm101.com. Prior to his work in software, he worked in AI/ML research as a PhD candidate in Columbia University’s Natural Language Processing group, where he published research on the use of machine learning for automated briefings of cardiothoracic surgeries. He holds a MS in Computer Science from Columbia University and a Bachelor of Arts in Computer Science and Music from Wesleyan University in Middletown, CT.

Break through AI's black box

Apply to become a design partner, where you'll be among the first to experience a new standard for governing AI datasets.