Andrew Ng’s keynote explores deep learning, self-taught learning, and unsupervised feature learning. He highlights the transformative power of these technologies and their applications in various industries.
Ng envisions a future where machines autonomously learn from unstructured data, extract meaningful features, and revolutionize fields like computer vision and natural language processing.
His insights inspire imagination about the potential of these advancements to shape the future of artificial intelligence.
Andrew Ng’s keynote explores the future of robotics and artificial intelligence, highlighting their transformative potential in industries like manufacturing, healthcare, and transportation.
He envisions intelligent machines seamlessly collaborating with humans, improving productivity and solving complex problems.
Ng emphasizes ethical development and a human-centered approach to ensure these technologies benefit society.
In his keynote, Andrew Ng envisions a future where AI revolutionizes education. He highlights the potential of personalized, adaptive learning experiences to make quality education accessible to all.
Ng advocates for leveraging technology to create immersive educational experiences and address challenges in traditional teaching models.
His vision inspires a lifelong learning journey that adapts to the demands of the modern world.
Dr. Andrew Ng is one of the world’s most influential leaders in artificial intelligence, known for translating cutting edge machine learning into practical systems that deliver measurable business value. He is the founder of DeepLearning.AI, which trains professionals globally in modern AI skills, and a co founder of Coursera, created to expand access to high quality education worldwide.
Andrew also leads Landing AI, helping enterprises move AI models from prototypes into reliable production systems. Earlier in his career, he helped launch Google Brain and served as Chief Scientist at Baidu, where he drove large scale AI initiatives.
Across research, startups, and teaching, Andrew has played a central role in shifting AI from laboratory experimentation to real world impact across sectors including healthcare, manufacturing, and education. As a keynote speaker, he combines deep technical credibility with clear, leader focused guidance on AI strategy, prioritization, ROI measurement, and capability building. His talks are valued for their clarity, realism, and immediate applicability.
Dr. Andrew Ng is a luminary in the field of artificial intelligence (AI), renowned for his groundbreaking work and visionary leadership. As the founder of DeepLearning.AI, he has spearheaded numerous initiatives to democratize AI education and make advanced AI techniques accessible to a global audience. His role as the Founder and CEO of Landing AI highlights his commitment to applying AI in industry, focusing on transforming manufacturing through AI-driven solutions.
Dr. Ng’s influence extends to his position as a General Partner at AI Fund, where he fosters the growth of AI startups, and as Chairman and Co-Founder of Coursera, a leading online learning platform that has revolutionized education worldwide. In addition, he imparts his vast knowledge as an Adjunct Professor at Stanford University’s Computer Science Department, where he has mentored countless students and researchers.
Dr. Andrew Ng’s contributions to AI are not confined to academia and industry; he is a sought-after speaker who captivates audiences with his insights on the future of technology. His ability to translate complex AI concepts into understandable and engaging narratives has made him a favorite at conferences and events around the world. Through his dynamic presentations, Dr. Ng inspires both technical and non-technical audiences to envision the transformative potential of AI.
With a career spanning decades and a portfolio of accomplishments that few can match, Dr. Ng stands as a beacon of innovation and excellence in AI. His work has not only advanced the field but has also set the stage for future developments that promise to reshape industries and improve lives globally.
Dr. Andrew Ng’s journey in AI began with his early education, earning a Bachelor’s degree from Carnegie Mellon University and a Ph.D. from the University of California, Berkeley. His academic achievements laid a solid foundation for his future endeavors, providing him with the skills and knowledge to tackle some of the most challenging problems in AI. As an Adjunct Professor at Stanford University, Dr. Ng has been instrumental in advancing AI research and education, contributing significantly to the development of machine learning algorithms and deep learning techniques.
To date, Dr. Andrew Ng AI courses have had more than seven million enrollments.
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Andrew Ng’s 11 minute and 16 second TED talk outlining how every organization can drive real value with simple, practical AI adoption steps.
In this 11:16 TED talk, Andrew Ng argues that AI’s true transformative power comes not from complex, futuristic systems but from small, targeted applications that solve real business problems. He opens by noting that most companies dramatically overestimate how much technical sophistication they need to get started. Instead of chasing grand, moonshot-style projects, he urges leaders to look for immediate, high-impact use cases: repetitive decisions, predictable tasks, and processes already fueled by data.
Andrew explains his principle of “AI transformation through many small wins,” comparing modern AI adoption to the early days of electricity—organizations that systematically identified where electricity could save time and reduce cost became the most competitive. He introduces the concept of “AI factories,” where teams iterate rapidly, measure outcomes, and deploy models in a structured, repeatable way. Throughout the talk, he highlights examples from industries like manufacturing, customer service, and healthcare, showing how modest AI deployments can unlock disproportionate value.
A major theme is accessibility: AI is no longer limited to big tech or research labs. With the right mindset, data discipline, and cross-functional collaboration, any business—regardless of size or sector—can build AI capability. Andrew closes with a call for leaders to focus on execution, not hype: create small AI wins, learn from them, scale intelligently, and build organizational momentum through practical success rather than lofty aspiration.
02:05 Why small, targeted AI projects outperform big moonshots
04:10 Identifying practical business use cases powered by data
06:20 The “AI factory” approach for repeatable, scalable execution
08:15 Examples of simple AI deployments driving major value
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Keynote speeches typically range from 30 to 90 minutes, with the duration determined by the speaker’s expertise, the event’s agenda, and audience preferences. Keynote speeches often include a combination of inspirational stories, practical insights, and actionable advice tailored to the event’s theme or objectives.
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