Shows
What the Dev?Why are we training ML models wrong and how can feature stores help? - Episode 101In this week's episode, we talk about the problem of data leakage, which occurs when data scientists feed data that did not exist during the time of a past event to machine learning models. Monte Zweben, CEO of Splice Machine talks about how feature stores can help with this issue by validating when a data set actually occurred and then correcting these point-in-time consistency issues.2021-05-0419 min
ML Minutes15 - MLOps with Demetrios BrinkmannWant 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...2021-04-1415 min
ML Minutes14 - Feature Stores with Atindriyo Sanyal from UberWe'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...2021-03-1715 min
Agile Digital TransformationMonte Zweben - Machine learning and its value in business and societyMonte Zweben is the CEO of Splice Machine, a data and machine learning company from California, and the host of their ML Minutes podcast.In this episode, we talk about the benefits of machine learning, with Monte giving some great practical examples of ML solving real-world problems across different industries. We also talk about the culture of innovation and experimentation in this field, focusing a little bit more on one of the latest and biggest recent trends in machine learning. We finish by addressing the changes in the digital industry due to the Covid pandemic and what...2021-03-1125 min
The AI in Business PodcastThe Development of AI Competence in the Enterprise - with Monte Zweben of Splice MachineToday's guest is Monte Zweben. Monte started doing AI with NASA in the late 80s, took a company public for nearly $3B at the height of the internet boom of the late 90s, and is now CEO at Splice Machine. This company offers a scalable SQL data platform for modernizing applications. In this episode, Monte speaks to us about some of the mirrored elements of tech's past transitions into AI and what they mean for how AI will start to become the norm in enterprises. He also applies lessons learned from his previous business transitions into what leaders can...2021-03-0928 min
ML Minutes13 - Building Trustworthy AI with Beena Ammanath of DeloitteWould 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 gues...2021-03-0315 min
ML Minutes12 - Improving Patient Outcomes with Dr. Devin SinghEven 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...2021-02-1714 min
ML Minutes11 - Space Craters with Danielle DeLatteImagine 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 NA...2021-02-0314 min
ML Minutes10 - The Future of Work with Fred Goff of JobcaseMachine 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 reali...2021-01-2015 min
Utilizing Tech: The Podcast Series About Emerging Technology2x02: The Last Mile - Connecting AI to Enterprise Applications with Monte ZwebenThere are many “last mile” items on the enterprise checklist, and companies are struggling to connect everything together. In this episode, Monte Zweben, CEO of Splice Machine, discusses feature stores with Andy Thurai and Stephen Foskett. Data engineers maintain data pipelines, data scientists maintain the data store, and machine learning engineers are trying to create models and package them so they will be useful. One idea is to store a model in a relational database, store records in a feature table, and enable the database to trigger a model based on this data. That’s what Splice Machines is implem...2021-01-1236 min
ML Minutes9 - Autonomous Vehicles with Boris Sofman from WaymoWhat’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 ju...2021-01-0615 min
ML Minutes8 - Satellite Imagery and Sustainability with James Crawford from Orbital InsightsWhere 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 ab...2020-12-2315 min
ML Minutes7 - MLOps with Andrew BrustWant 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...2020-12-0915 min
ML Minutes6 - Climate Change & Energy Optimization with Priya Donti from Carnegie MellonHave 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...2020-11-2515 min
ML Minutes5 - Human-in-the-loop with Carla Brodley from NortheasternDr. Carla Brodley, Dean of Northeastern’s Khoury College of Computer Sciences, came in to discuss the role human experts should play for application-driven machine learning. Here's the study Carla did on patients with treatment-resistant epilepsy. Learn more about Northeastern's Experiential Institute for AI or the Align program to increase diversity in computer science.Hear what Carla’s most excited about for the future of machine learning in our 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 Twit...2020-11-1114 min
ML Minutes4 - Fighting COVID-19 with Oren Etzioni from AI2Dr. Oren Etzioni, CEO of the Allen Institute for AI (or AI2), talked to Monte about CORD-19, AI2's initiative to aid researchers studying COVID-19 . CORD-19 is an open research database that identifies the most pressing advances using comprehensive natural language processing. Learn more about in Oren's WIRED article, or get the details in the academic preprint.Hear Oren's thoughts on Hollywood misconceptions of AI and AI2’s new computer vision program in our Bonus Minutes on our website, mlminutes.com, where you can also find episode transcripts, additional resources, and more. To stay up-to-date on...2020-10-2714 min
ML Minutes3 - Multi-Agent Systems at JP Morgan with Manuela VelosoDr. Manuela Veloso, head of the Artificial Intelligence Research Lab at J.P. Morgan and Herb Simon University Professor at Carnegie Mellon, talked to Monte about the role multi-agent systems play in both robotics and finance, as well as her thoughts on machine learning explainability. Learn more about AI Research at JP Morgan here, or read their recent paper about Prediction in Multiplex Networks if you're looking for the real nitty-gritty.Hear Manuela's thoughts on misconceptions of AI and natural language processing in our Bonus Minutes on our website, mlminutes.com, where you can also find episode...2020-10-1415 min
ML Minutes2 - Predicting Wildfires with Krishna Rao from StanfordKrishna Rao, an Earth scientist PhD student at Stanford University, came in to explain the factors that influence wildfire risk, and talk about a tool he created using machine learning that helps predict where wildfires might happen. You can test out Krishna's fuel moisture map here, read the academic paper he wrote, or his summary in Toward Data Science.Listen to Krishna's Bonus Minutes on GTP-3 and bias in machine learning in our 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...2020-10-1412 min
ML Minutes1 - Language Meaning with Tom Mitchell from Carnegie MellonTom Mitchell, founder of Carnegie Mellon's (and the world's) first Machine Learning department, came in to discuss his research at the intersection of Machine Learning and Cognitive Neuroscience. We discussed where the meaning of words lie in the brain, and how machine learning can help us discover more. You can read more of Tom's research here!Listen to Tom's thoughts on GTP-3 and the future of machine learning in our 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...2020-10-1410 min
ML MinutesWelcome to ML MinutesWelcome to our one-of-a-kind machine learning podcast! Meet your host, Monte Zweben, and listen as Monte demonstrates our unique format by explaining machine learning in only one minute, including some fun examples.If you like what you heard, check out our interviews with other thought leaders in this same structure!For more information about ML Minutes, visit our website. To stay up-to-date on upcoming guests & giveaways, follow us on Twitter, Instagram, LinkedIn, or Facebook. Our intro music is Funkin' It by the Jazzual Suspects, and our outro music is Last Call by Shiny...2020-10-1202 min
InsideAnalysisInside-OpenSource: New FoundationsCheck out this episode of Inside-OpenSource to hear Hosts @eric_kavanagh and @editingwhiz interview Patrick McFadden of DataStax, and Monte Zweben of SpliceMachine.2020-05-2053 min
Voices in AIEpisode 106: A Conversation with Monte Zweben
In this episode, Byron speaks with Monte Zweben about the nature of intelligence and the growth of real-time AI-based machine learning.
Episode 106: A Conversation with Monte Zweben2020-02-0626 min
Designing Enterprise PlatformsEAR - Podcast SpliceMachine MonteZweben 2019 - 09 - 04 RFIIn this episode of the Designing Enterprise Platforms podcast from Early Adopter Research (EAR), EAR’s Dan Woods speaks with Monte Zweben, the CEO and cofounder of Splice Machine. Like Woods, Zweben has been an observer of the Hadoop ecosystem for quite some time. Splice Machine is a distributed SQL database but it’s also a database that is able to handle transactional workloads and analytical workloads at scale at the same time. Given that many of those analytic workloads were handled on Hadoop, their conversation centers on the recent happenings with Hadoop.
Their conversation covered:
* 5:25 -- The history of Hado...2019-09-0858 min
Big Data BeardSplice Machine: The Operational Data PlatformSplice Machine announced the company’s new data science workbench, ML Manager, at the Spark + AI Summit 2019 (https://databricks.com/sparkaisummit/north-america) being held April 23-25, in San Francisco, CA. Cory caught up with Splice Machine's founder and CEO, Monte Zweben, about how Splice Machine bridges the gap between operational databases and the tools used by data scientists to power modern AI. Splice Machine’s new Data Science Workbench, called ML Manager, empowers data science teams to maximize the performance of their machine learning models by removing the latency associated with building complex data pipelines, performing cumbersome transformations and training models...2019-05-2131 min
Big Data BeardSplice Machine: The Operational Data PlatformSplice Machine announced the company’s new data science workbench, ML Manager, at the Spark + AI Summit 2019 being held April 23-25, in San Francisco, CA. Cory caught up with Splice Machine's founder and CEO, Monte Zweben, about how Splice Machine bridges the gap between operational databases and the tools used by data scientists to power modern AI. Splice Machine’s new Data Science Workbench, called ML Manager, empowers data science teams to maximize the performance of their machine learning models by removing the latency associated with building complex data pipelines, performing cumbersome transformations and training models on updated data.
At the Sp...2019-05-2100 min