AI Episodes

AI expert Joan Palmiter Bajorek shares practical insights on building career resilience in an AI-driven world.

Dr. Koehn discusses the current state of machine translation technology, its challenges, and the potential future where universal translation could become a reality.

Daniel Hulme, a leading expert in AI, discusses singularities and AI's potential impact on society, the economy, and human consciousness.

Christian Hammer explores the future of AI, highlighting its imminent impact on tackling technical debt and even the creative realms of science fiction.

Anand Rao, renowned AI expert from Carnegie Mellon University, delves into the vast applications of AI in finance and across various sectors, shedding light on its transformative impact.

Nisha Talagala discusses AI’s transformative potential and ethical considerations. She unveils a platform democratizing learning about AI.

Mark Greaney gives us a glimpse of the future of The Gray Man series as he talks about its newest addition that dives into the world of artificial intelligence.

Guru Banavar, CTO at Viome Inc., lets us have a sneak peek into the future of our microbiome as we explore its connection to systemic health using AI.

Dan Turchin offers an optimistic perspective on AI and the future of work, highlighting how it allows humans to focus on more fulfilling and creative tasks.

Rana Gujral of Behavioral Signals takes us on a tour of their work with deep AI and shares insights on AI's evolving relationship with human emotion.

Bob Rogers discusses the connection between artificial intelligence, logistics, and the significant impact it will have on our lives as we look at the future of Pragmatic AI.

Andi Mann talks about the role of CTOs in handling artificial intelligence and how these emerging technologies could become more ubiquitous in our work.

Learn about the future of AI with Kevin Dewalt as he discusses accessibility, education, and the transformative impact of artificial intelligence.

Max Antson, Senior Machine Learning Engineer of Feebris, shares the exciting future of machine learning, especially in the area of digital health.