Realising the potential of Machine Learning in Healthcare
AWS’s Taha Kass-Hout on why COVID-19 proved to be a turning point for machine learning
Machine Learning
Schneider Electric’s Smarter, Greener, Happier Future
We speak to Schneider Electric’s MEA region about why an all-digital, all-electric world is required for a smarter and greener future.
Harrow: The Council of Change
Harrow Council’s IT team take Tech For Good behind the scenes of a digital transformation programme that is improving the lives of its workers and residents.
Flying To New Horizons
Can aviation be automated? NATS’ Head of Research Louisa Smith talks about developing the world’s first AI air traffic control system
Reality checks about travelling in the US: Practical tips for a smoother trip
Planning a trip to the USA? Discover essential tips on distances, walkability, tipping culture, transport, and connectivity to make your American adventure smoother and stress-free.
The future of leadership: Humanity, technology, and the path to a better tomorrow
John O’Brien MBE, Chairman and Founder of Anthropy emphasises the need for visionary leadership that balances technology with human traits like empathy, creativity, and ethical judgment.
The benefits of creating a “pull” education environment
Degreed’s Janice Burns on the importance of continuous workplace learning
Teenage Tech Stories: Emma Yang
At only 17, Emma Yang is the founder of Timeless, a mobile app that helps Alzheimer’s patients stay connected to their loved ones. In this podcast, Emma talks about the process of building her app and what it means to be named as one of the 100 Faces of Impact globally.
Nick Earle
Nick Earle, CEO of IoT connectivity specialist Eseye, has enjoyed a nomadic career in technology. He’s led transformation projects at $50 billion corporations, he’s worked in startups and, as he reveals in this podcast, he once had the chance to quiz Jeff Bezos on the future of Amazon.
Machine Learning
Realising the potential of Machine Learning in Healthcare
AWS’s Taha Kass-Hout on why COVID-19 proved to be a turning point for machine learning