Laurence Moroney Keynote Speaker

Director of AI, Arm (2025–present)
Led Google AI Advocacy (2013–2024)
Author, AI and Machine Learning for Coders (2020)

Laurence Moroney's Biography

Laurence Moroney is a best-selling author and award-winning AI researcher who equips global audiences—developers, product leaders and executives—with practical frameworks to build reliable, scalable AI. As Director of AI at Arm (2025– ), he focuses on the next-generation developer experience for on-device and edge AI, translating rapid advances into deployable products. His mission is clear: make AI accessible, trustworthy and useful for everyone.

From 2013 to 2024 he led AI Advocacy at Google, helping millions adopt TensorFlow through hands-on education, the TensorFlow YouTube channel and global keynotes. He architected widely adopted online programs, including the DeepLearning.AI “TensorFlow Developer” certificate that has trained learners at scale. His teaching blends clarity with code-first rigor, guiding teams from prototype to production.

Laurence is the author of O’Reilly’s AI and Machine Learning for Coders (2020) and AI and Machine Learning for On-Device Development (2021), concise playbooks for practitioners building computer vision, NLP and embedded ML. He is also a Fellow with AI Fund, advising founders on the feasibility and impact of ML applications. Recent stages include a keynote at Info-Tech LIVE 2024 (Las Vegas) and moderating an AI Dev ’25 panel on building real-world AI products. Audiences leave with background, a roadmap and the confidence to execute.

Building with Generative AI: from idea to production

Practical Machine Learning with TensorFlow: a hands-on playbook

Responsible AI in practice: evaluation, guardrails and governance

Upskilling engineering teams for the AI era

The future of human–AI collaboration and product design

He operates at the forefront of applied AI as Director of AI at Arm, helping organisations turn on-device and edge breakthroughs into deployable products.
He led AI Advocacy at Google for over a decade, equipping millions of developers to adopt TensorFlow through practical education, keynotes and hands-on guidance.
He translates fast-moving advances in machine learning into clear, code-first frameworks that take teams from prototype to reliable, scalable production.
He is a bestselling author whose playbooks on building computer vision, NLP and embedded ML help product leaders and engineers make smarter build-or-buy decisions.
His briefings give executives and technical teams a shared roadmap for trustworthy AI, aligning strategy, capability and execution at speed.