ML Minutes Monte Zweben

Want to learn how to lose $40,000? One company inadvertently did— by embracing infinite storage and compute without guardrails, an oversight that could have been solved with MLOps.Sometimes defined as “DevOps for ML”, MLOps encompasses everything from the hardware and software on which machine learning is done to the governance and ethics associated with deployment.Demetrios Brinkmann, coordinator of the MLOps community and host of a number of fantastic AI podcasts, came in to discuss how we ...

We're talking about 2021’s hottest MLOps technology— feature stores. But what is a feature store, and what on earth do they do? Atindriyo Sanyal, Technical Lead on the Machine Learning Platform team at Uber, shares Uber’s feature store journey, the benefits feature stores have provided for their data science team, and where they're going next.Hear Atin talk about using ML for data privacy and public policy in the Bonus Minutes on our website, mlminutes.com, where you can also find episod...

Would you trust an AI that told you when a plane engine was going to fail? What if the information gathered by that AI lost you your job?On this week’s episode, we discuss ethics, bias, fairness, and how building trustworthy AI isn’t a one size fits all endeavor with Beena Ammanath, director of the Deloitte AI Institute.Hear Beena talk about her work improving diversity in tech in the Bonus Minutes on our website, mlminutes.com, where you can also find episode transcripts, additional resource...

Even before COVID-19 overwhelmed hospitals, many healthcare workers were feeling engulfed by their workload, never having enough time to properly focus on their patients. Automating key tasks in the patient journey could help change this, so patients receive the best possible care.Dr. Devin Singh, a pediatric emergency physician in Toronto, Canada, as well as the founder of Hero AI, a startup dedicated to empowering patients and healthcare providers with AI, came in to chat about how he was d...

Imagine you're a rover on Mars, trying to find your way around. There's no towering skyscrapers or bodies of water to tell you where you are. What do you look for? The original natural landmarks: changes in land elevation that denote mountains and craters.On this week’s episode, Dr. Danielle DeLatte, a Space Systems Engineer at Draper, came in to talk about her PhD work using machine learning and computer vision to to calculate the age of craters and their possible role for rover navigation i...

Machine Learning has been used to increase profit for businesses and solve tough problems in research, but what if ML was being harnessed to help people? Well, there are few things that affect people’s lives more than work. On this week’s episode, Fred Goff, CEO of Jobcase, talks about harnessing the power of ML to empower workers and build community, with some powerful economic and political repercussions.Check out Monte's real-time feature store at a hands-on workshop at TWiMLCon on J...