By Monte Zweben
5
1212 ratings
The podcast currently has 16 episodes available.
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 should be evaluating models throughout their life cycle. He also introduced a completely unique way to gamify feature stores that could change the way data scientists are remunerated. Demetrios shared some stories about how businesses can benefit from MLOps (and the astounding times ML has gone wrong without it!)
Hear Demetrios talk about AI Ethics and AR in the Bonus Minutes on our website, mlminutes.com, where you can also find episode transcripts, additional resources, and more. To stay up-to-date on upcoming guests & giveaways, follow us on Twitter, LinkedIn, or Instagram.
Our intro music is Funkin' It by the Jazzual Suspects, and our outro music is Last Call by Shiny Objects, both on the OM Records label.
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 episode transcripts, additional resources, and more. To stay up-to-date on upcoming guests & giveaways, follow us on Twitter, LinkedIn, or Instagram.
Our intro music is Funkin' It by the Jazzual Suspects, and our outro music is Last Call by Shiny Objects, both on the OM Records label.
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 resources, and more. To stay up-to-date on upcoming guests & giveaways, follow us on Twitter, LinkedIn, or Instagram.
Our intro music is Funkin' It by the Jazzual Suspects, and our outro music is Last Call by Shiny Objects, both on the OM Records label.
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 doing just this. Devin discusses applications of AI in healthcare, navigating the institutions that compose the healthcare system, his collaborative approach to bringing people from different fields together in order to cut the red tape surrounding the implementation of a brand new solution, and the future of healthcare.
Hear Devin talk about the automated future of medicine in the Bonus Minutes on our website, mlminutes.com, where you can also find episode transcripts, additional resources, and more. To stay up-to-date on upcoming guests & giveaways, follow us on Twitter, LinkedIn, or Instagram.
Our intro music is Funkin' It by the Jazzual Suspects, and our outro music is Last Call by Shiny Objects, both on the OM Records label.
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 in the future.
Hear more about Danielle's work on NASA's Artemis mission in the Bonus Minutes on our website, mlminutes.com, where you can also find episode transcripts, additional resources, and more. To stay up-to-date on upcoming guests & giveaways, follow us on Twitter, LinkedIn, or Instagram.
Our intro music is Funkin' It by the Jazzual Suspects, and our outro music is Last Call by Shiny Objects, both on the OM Records label.
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 January 28. Register at mlminutes.com/events.
Hear more about how virtual reality will shape future jobs in the Bonus Minutes on our website, mlminutes.com, where you can also find episode transcripts, additional resources, and more. To stay up-to-date on upcoming guests & giveaways, follow us on Twitter, LinkedIn, or Instagram.
Our intro music is Funkin' It by the Jazzual Suspects, and our outro music is Last Call by Shiny Objects, both on the OM Records label.
What’s the deal with autonomous vehicles? For starters, saving 40,000 lives per year and answering some of the most interesting questions in artificial intelligence.
Boris Sofman, Head of Perception and Trucking Engineering at Waymo, came in to discuss the methods used to train autonomous vehicles, covering where datasets are gathered, how performance is evaluated, and how knowledge gained through AV can be leveraged across different industries.
Monte's speaking at some cool events! He'll be presenting at the Feature Store Meetup and TWiMLCon. Find out more at mlminutes.com/events.
Hear more of the juicy details in the Bonus Minutes on our website, mlminutes.com, where you can also find episode transcripts, additional resources, and more. To stay up-to-date on upcoming guests & giveaways, follow us on Twitter, LinkedIn, Instagram, or Facebook.
Our intro music is Funkin' It by the Jazzual Suspects, and our outro music is Last Call by Shiny Objects, both on the OM Records label.
Where do things come from? It’s hard to tell down here on the ground, but cameras way up in space are capturing movement from all around the world to help answer this question.
James Crawford, CEO of Orbital Insight, came in to explain how his company uses computer vision to make observations about the world we live in today, and ways we can use these observations to optimize sustainability in business supply chains. We also discuss the potential for unsupervised learning, including simulated imagery, to improve accuracy in computer vision models.
Hear about the tools Orbital Insights uses in the Bonus Minutes on our website, mlminutes.com, where you can also find episode transcripts, additional resources, and more. To stay up-to-date on upcoming guests & giveaways, follow us on Twitter, LinkedIn, Instagram, or Facebook.
Our intro music is Funkin' It by the Jazzual Suspects, and our outro music is Last Call by Shiny Objects, both on the OM Records label.
Want to win a free Apple Watch? Enter now at mlminutes.com/giveaway.
Back in the 90's, people said, "Just write code!" That is, until they realized how hard it was to update the software once it had been released. DevOps techniques were created to shorten the development life cycle and provide high quality software on a regular basis. The same thing is happening in the tech industry today, as we're beginning to operationalize Machine Learning with MLOps technologies.
Andrew Brust, CEO of Blue Badge Insights and lead analyst for GigaOm, came in to discuss what MLOps is, why it matters, and some different approaches people are taking to it.
Hear about applications of MLOps in the Bonus Minutes on our website, mlminutes.com, where you can also find episode transcripts, additional resources, and more. To stay up-to-date on upcoming guests & giveaways, follow us on Twitter, LinkedIn, Instagram, or Facebook.
Our intro music is Funkin' It by the Jazzual Suspects, and our outro music is Last Call by Shiny Objects, both on the OM Records label.
Have you ever wondered what you could do to help the planet combat climate change? Priya Donti did, too-- and now she's researching energy optimization and assembling folks in her community to tackle the defining problem of our future.
Priya is a PhD student in Computer Science and Public Policy at Carnegie Mellon, as well as the co-founder and chair of Climate Change AI. Here's the paper Priya wrote with her colleagues about tackling climate change with machine learning. You can learn more about Climate Change AI here.
Hear more specifics about Priya's research in the Bonus Minutes on our website, mlminutes.com, where you can also find episode transcripts, additional resources, and more. To stay up-to-date on upcoming guests & giveaways, follow us on Twitter, LinkedIn, Instagram, or Facebook.
Our intro music is Funkin' It by the Jazzual Suspects, and our outro music is Last Call by Shiny Objects, both on the OM Records label.
The podcast currently has 16 episodes available.