Bridging The Gap Between Machine Learning And...

Summary In this episode, I spoke with Keerti Kulkarni about the data and AI systems behind physical logistics automation at Amazon. She explained how her team supports dock-door operations across more than 100 North American facilities by turning telemetry from physical workflows ...  Show more

SummaryIn this episode, I spoke with Christian Bremeau and Simon Dynin about their decades-long work in metadata management and how that experience shaped the evolution of Meta Integration Technology and its direct-to-customer MetaKarta platform. We explored the recurring challen ...  Show more

Machine learning models need updating - what's the reliable way to do it? While in Romania, Richard sat down with Annie Talvasto to talk about her work helping to build DevOps practices around machine learning: Building repeatable processes for data ingestions, cleaning, organ ...

Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode!In this episode, I talk with Emmanuel Turlay, Founder & CEO of Sematic, about the pivotal role of AI in Machine Learning infrastructure. Emmanuel shares his expertise in design ...  Show more

Preamble This is a cross-over episode from our new show The Machine Learning Podcast, the show about going from idea to production with machine learning. Summary The majority of machine learning projects that you read about or work on are built around batch processes. The model i ...  Show more