Déborah Berebichez Keynote Speaker

• The Interrogability Imperative: Why Regulated Industries Cannot Deploy AI Without It

For: Financial services, healthcare, pharma, insurance, legal, compliance

Every decision an AI system makes in a regulated industry must be traceable, defensible, and auditable by a human expert. Drawing on the eight-agent anti-money-laundering platform she architected at EY — which reduced 250 false positives to 9 true positives on the same dataset — Dr. Berebichez shows why interrogability is the single design constraint separating deployable AI from a demo.

• The Human in the Loop Is Not a Feature — It Is the Architecture

For: AI conferences, CIO/CTO summits, product leadership, enterprise strategy

Conventional wisdom treats 'human-in-the-loop' as a checkbox. Where the human sits in an agentic AI system is the most consequential architectural decision leaders make — more than model selection, orchestration, or compute. A contrarian keynote drawn from building multi-agent systems in regulated environments.

• Building AI We Can Trust: Ethics by Design, Not by Afterthought

For: Corporate audiences, enterprise AI summits, women in tech, innovation congresses

AI ethics cannot be a patch applied at launch. Dr. Berebichez draws on live enterprise cases to show why ethical guardrails must be architectural decisions made on day one — and why the organizations getting AI right are the ones designing for trust from the start.

• Generation Is Cheap. Judgment Is Not: How Leaders Must Rethink AI Decision-Making

For: C-suite, boards, executive retreats, YPO / WPO, corporate strategy

AI has shifted from productivity tool to decision-making architecture. Dr. Berebichez presents four technical realities every executive must understand — why confident AI outputs are the most dangerous, why prompting for fairness barely works, why fairness decays after deployment, and why the highest-leverage work for leaders is now orchestrating which decisions belong to machines, which to humans, and which to both.

• The 8 Wastes of AI Delivery: Applying Lean Thinking to Enterprise AI

For: Operations leaders, engineering executives, transformation officers, delivery teams Lean manufacturing gave the world DOWNTIME — but enterprise AI has failure modes the original framework never anticipated. Dr. Berebichez introduces a new framework built from delivering AI at scale in regulated industries: waste cascades, trust debt, and misaligned precision. A practical lens for the hidden costs that make AI projects fail even when they look successful on paper.

• From Physics to Frontier AI: A 20-Year Journey Through Complex Systems

For: Technology conferences, innovation summits, leadership forums, university-corporate events Dr. Berebichez traces the path from being the first Mexican woman to earn a physics Ph.D. at Stanford to leading enterprise AI at one of the world's largest firms — revealing how the mathematics of physical systems is structurally identical to how we train AI models today, and why physicists with AI fluency will outperform pure technologists in the age of automated scientific discovery.

• The Quantum Leap: How Quantum Computing Will Transform Your Industry

For: Corporate innovation, tech conferences, financial services, pharma, materials science

As former Lead Scientist in Microelectronics and Quantum Computing at VTT — one of Europe's leading research institutes — Dr. Berebichez takes audiences inside clean rooms, new algorithms, and quantum speedups, and shows how forward-thinking companies are positioning for better materials, secure cryptography, and more accurate climate prediction in the quantum age.

• Changing the World, One Equation at a Time: An Inspiring Journey

For: Women in tech, STEM education, Latinx events, diversity & inclusion, universities Deborah grew up in a conservative community in Mexico where girls were discouraged from pursuing science. Instead, she became the first Mexican woman to earn a physics Ph.D. from Stanford, hosted Discovery Channel for 11 years, commercialized Finland's first quantum computer, and now leads enterprise AI at a global firm. A deeply personal keynote on resilience, curiosity, and defiance.