AI Everywhere & Vertical Intelligence
Purpose-Built AI for Real Industries
Calling founders, AI and product leaders, data and platform engineers, and risk and compliance professionals. Turn models into measurable outcomes with the right data, evaluation, and workflow integration. Join us to ship safe and reliable AI in finance, health, climate, cyber, and beyond.
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Track Overview
Designing vertical AI requires real data, robust evaluation, and trustworthy operations. This track provides concrete patterns for data strategy, retrieval and grounding, agent design and orchestration, human oversight, and cost and latency management. We will cover on-device and cloud choices, safety and bias mitigation, procurement expectations, and the ROI checkpoints to scale adoption.
Key Takeaways
- Define data partnerships, labeling, and privacy patterns that unlock value
- Implement retrieval, grounding, and structured outputs that reduce errors
- Design agents with tool use, guardrails, and human approval steps
- Evaluate for accuracy, robustness, bias and fairness, latency, and cost
- Instrument observability for drift, hallucination, and safety events
- Choose on-device or cloud based on risk, performance, and cost
- Meet buyer expectations for security, privacy, and auditability
- Prove value with pilots, then scale with change management and training
Who Should Attend?
- AI and product leaders building domain solutions
- Data, MLOps, and platform engineering teams
- Security, legal, and compliance leaders responsible for AI risk
- Buyers, partners, and solution architects in regulated industries
- Researchers, evaluators, and policymakers shaping standards
Interested in Speaking?
Shipped AI that delivers real outcomes in a vertical workflow, bring your architecture, evaluation results, and business impact to help others build responsibly.
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Jacqueline Ryan
Director at Deloitte
Melissa Schulte
Senior Director, Product Management (Client Experience Product Management) at Sephora
Jennifer Stokes
Senior Director, Product Management (Marketing & Personalization) at Sephora
Clare Wilkinson
Vice President, Engineering Application Experience at Anaplan
Tina Mylon
Chief Talent and Diversity Officer at Schneider Electric
Ewa Kleczyk
Chief Data and Analytics Officer
Lori Barrington
NAM Chief Data Officer at Schneider Electric
Marzia Basso
Head of International I&M Project Development at RINA
Silvia Semenza
Global Executive People Experience Director at RINA
Rowena Yeo
Global Chief Technology Officer and Senior Vice President of Technology Services at Johnson & Johnson
Sandy Venugopal
CIO, at CoreWeave
Monica Caldas
EVP & CIO, at Liberty Mutual Insurance
Debbie Sterling
Founder/CEO at Smore Labs, Inc.
Christine Gadsby
Chief Security Advisor, at BlackBerry
Susan Koski
2x CISO, Former CISO, at PNC
Jenn Zmuda
Chief Information Officer at UnitedHealthcare
Stephanie Deluca
Chief of Staff at UnitedHealthcare
Julie Iskow
CEO at Workiva
Sonali Bhavsar
Chief Data and AI Officer at GEP
Marina Spyrou
CIO at PPFA
Jane Connell
SVP Strategy Transformation & CIO Enterprise Systems at Verizon
Miki Van Cleave
Chief Design Officer at JPMorgan Chase
Sandrine Pons
Managing Director France, Benelux & Iberia
LASHERELLE MORGAN
SVP, Legal, AI Innovation and Acceleration at NBCUniversal
Ceneé LaTulippe
Founder & CEO at 5280 PMO Services
Selena Rezvani
President and Author at NextGenWomen LLC
Tracie Cleveland
Chief Transformation Officer at KeyBank
Tatyana Mamut
CEO & Founder, at Wayfound
Rashmi Kumari
CIO, at Medtronic-
Sandy Venugopal
CIO, at CoreWeave
