#295 How To Get Hired As A Data Or AI Enginee...

Physical AI is showing up across the industry as sensors, connected devices, and foundation models move from the cloud into the real world. After years of IoT wiring everything to the internet, the big shift is turning raw measurements and video into meaning, not just dashboards. ...  Show more

Quantum computing is advancing fast, but it comes with a core industry challenge: noise. The big promise—better simulations, faster optimization, and maybe new kinds of AI—depends on quantum error correction and scaling from physical qubits to reliable logical qubits. For working ...  Show more

Summary In this episode of the Data Engineering Podcast, host Tobias Macey welcomes back Chris Berg, CEO of DataKitchen, to discuss his ongoing mission to simplify the lives of data engineers. Chris explains the challenges faced by data engineers, such as constant system failures ...  Show more

Saket Srivastava, CIO at work management platform Asana, has had technology roles at organizations such as General Electric, IBM, and Fujitsu, moving from back-end IT services positions to more strategic business leadership roles. Asana has already been working with artificial in ...  Show more

How do you apply your leadership skills to a new, mission-driven industry and effectively lead teams across multiple technical domains? In this episode, Simone Kalmakis (VPE @ Viam) shares her playbook for successfully transitioning between industries from health-tech and clim ...

In this episode of the Data Science Salon Podcast, we sit down with Sasibhushan Rao Chanthati, AVP and Senior Software Engineer at T. Rowe Price, where he’s building the future of finance through intelligent, scalable technologies. Sasi specializes in creating secure digital ecos ...  Show more