The TWIML AI Podcast (formerly This W...

Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, computer science, data science and more.

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301
Supporting TensorFlow at Airbnb with Alfredo Lu...
This interview features my conversation with Alfredo Luque, a software engineer on the machine infrastructure team at Airbnb. If you’re among the many TWiML fans interested in AI Platforms and ML infrastructure, you probably remember my interview...
39 min
302
Mining the Vatican Secret Archives with TensorF...
Today we’re joined by Elena Nieddu, PhD Student at Roma Tre University, who presented on her project “In Codice Ratio” at the TF Dev Summit. In our conversation, Elena provides an overview of the project, which aims to annotate and transcribe...
42 min
303
Exploring TensorFlow 2.0 with Paige Bailey - TW...
Today we're joined by Paige Bailey, a TensorFlow developer advocate at Google to discuss the TensorFlow 2.0 alpha release. Paige and I sat down to talk through the latest TensorFlow updates, and we cover a lot of ground, including the evolution of the...
38 min
304
Privacy-Preserving Decentralized Data Science w...
Today we’re joined by Andrew Trask, PhD student at the University of Oxford and Leader of the OpenMined Project. OpenMined is an open-source community focused on researching, developing, and promoting tools for secure, privacy-preserving,...
32 min
305
The Unreasonable Effectiveness of the Forget Ga...
Today we’re joined by Jos Van Der Westhuizen, PhD student in Engineering at Cambridge University. Jos’ research focuses on applying LSTMs, or Long Short-Term Memory neural networks, to biological data for various tasks. In our conversation, we...
31 min
306
Building a Recommendation Agent for The North F...
Today we’re joined by Andrew Guldman, VP of Product Engineering and Research and Development at Fluid. Andrew and I caught up a while back to discuss Fluid XPS, a user experience built to help the casual shopper decide on the best product choices...
46 min
307
Active Learning for Materials Design with Kevin...
Today we’re joined by Kevin Tran, PhD student in the department of chemical engineering at Carnegie Mellon University. Kevin’s research focuses on creating and using automated, active learning workflows to perform density functional theory, or...
32 min
308
Deep Learning in Optics with Aydogan Ozcan - TW...
Today, we’re joined by Aydogan Ozcan, Professor of Electrical and Computer Engineering at UCLA, where his research group focuses on photonics and its applications to nano- and biotechnology. In our conversation, we explore his group's research into...
41 min
309
Scaling Machine Learning on Graphs at LinkedIn ...
Today we’re joined by Hema Raghavan and Scott Meyer of LinkedIn. Hema is an Engineering Director Responsible for AI for Growth and Notifications, while Scott serves as a Principal Software Engineer. In this conversation, Hema, Scott and I dig into...
45 min
310
Safer Exploration in Deep Reinforcement Learnin...
Today we conclude our Black in AI series with Sicelukwanda Zwane, a masters student at the University of Witwatersrand and graduate research assistant at the CSIR. At the workshop, he presented on “Safer Exploration in Deep Reinforcement Learning...
52 min
311
Dissecting the Controversy around OpenAI's New ...
If you’re listening to this podcast, you’ve likely seen some of the press coverage and discussion surrounding the release, or lack thereof, of OpenAI’s new GPT-2 Language Model. The announcement caused quite a stir, with reactions spanning...
64 min
312
Human-Centered Design with Mira Lane - TWiML Ta...
Today we present the final episode in our AI for the Benefit of Society series, in which we’re joined by Mira Lane, Partner Director for Ethics and Society at Microsoft. Mira and I focus our conversation on the role of culture and human-centered...
45 min
313
Fairness in Machine Learning with Hanna Wallach...
Today we’re joined by Hanna Wallach, a Principal Researcher at Microsoft Research. Hanna and I really dig into how bias and a lack of interpretability and transparency show up across machine learning. We discuss the role that human biases, even...
47 min
314
AI for Healthcare with Peter Lee - TWiML Talk #231
In this episode, we’re joined by Peter Lee, Corporate Vice President at Microsoft Research responsible for the company’s healthcare initiatives. Peter and I met a few months ago at the Microsoft Ignite conference, where he gave me some really...
55 min
315
An Optimized Recurrent Unit for Ultra-Low Power...
Today, we're joined by Justice Amoh Jr., a Ph.D. student at Dartmouth’s Thayer School of Engineering. Justice presented his work on “An Optimized Recurrent Unit for Ultra-Low Power Acoustic Event Detection.” In our conversation, we discuss his...
44 min
316
Pathologies of Neural Models and Interpretabili...
Today, we're excited to continue our Black in AI series with Alvin Grissom II, Assistant Professor of Computer Science at Ursinus College. Alvin’s research is focused on computational linguistics, and we begin with a brief chat about some of his...
31 min
317
AI for Earth with Lucas Joppa - TWiML Talk #228
In this episode of our AI For the Benefit of Society with Microsoft series, we’re joined by Lucas Joppa and Zach Parisa. Lucas is the Chief Environmental Officer at Microsoft, spearheading their 5 year, $50 million AI for Earth commitment, which...
55 min
318
AI for Accessibility with Wendy Chisholm - TWiM...
Today we’re joined by Wendy Chisholm, Lois Brady, and Matthew Guggemos. Wendy is a principal accessibility architect at Microsoft, and one of the chief proponents of the AI for Accessibility program, which extends grants to AI-powered accessibility...
49 min
319
AI for Humanitarian Action with Justin Spelhaug...
Today we're joined by Justin Spelhaug, General Manager of Technology for Social Impact at Microsoft. In our conversation, Justin and I discuss the company’s efforts in AI for Humanitarian Action, a program which extends grants to fund AI-powered...
57 min
320
Teaching AI to Preschoolers with Randi Williams...
Today, in the first episode of our Black in AI series, we’re joined by Randi Williams, PhD student at the MIT Media Lab. At the Black in AI workshop Randi presented her research on Popbots: A Early Childhood AI Curriculum, which is geared towards...
42 min
321
Holistic Optimization of the LinkedIn News Feed...
Today we’re joined by Tim Jurka, Head of Feed AI at LinkedIn. As you can imagine Feed AI is responsible for curating all the content you see daily on the LinkedIn site. What’s less apparent to those that don’t work on this type of product is the...
47 min
322
AI at the Edge at Qualcomm with Gary Brotman - ...
Today we’re joined by Gary Brotman, Senior Director of Product Management at Qualcomm Technologies, Inc. Gary, who got his start in AI through music, now leads strategy and product planning for the company’s Artificial Intelligence and Machine...
50 min
323
AI Innovation at CES - TWiML Talk #222
A few weeks ago, I made the trek to Las Vegas for the world’s biggest electronics conference, CES. CES is one of those things that’s hard to fully understand without having seen, so I thought it’d be fun to give you a look at it from my vantage...
2 min
324
Self-Tuning Services via Real-Time Machine Lear...
Today we’re joined by Vladimir Bychkovsky, Engineering Manager at Facebook, to discuss Spiral. Spiral is a system they’ve developed for self-tuning high-performance infrastructure services at scale, using real-time machine learning. In our...
45 min
325
Building a Recommender System from Scratch at 2...
Today we’re joined by JJ Espinoza, former Director of Data Science at 20th Century Fox. In this talk we start out with a discussion JJ’s transition from econometrician to data scientist, and then dig into his and his team’s experience building...
33 min
326
Legal and Policy Implications of Model Interpre...
Today we’re joined by Solon Barocas, Assistant Professor of Information Science at Cornell University. Solon is also the co-founder of the Fairness, Accountability, and Transparency in Machine Learning workshop that is hosted annually at conferences...
45 min
327
Trends in Computer Vision with Siddha Ganju - T...
In the final episode of our AI Rewind series, we’re excited to have Siddha Ganju back on the show. Siddha, who is now an autonomous vehicles solutions architect at Nvidia shares her thoughts on trends in Computer Vision in 2018 and beyond. We cover...
31 min
328
Trends in Reinforcement Learning with Simon Osi...
In this episode of our AI Rewind series, we introduce a new friend of the show, Simon Osindero, Staff Research Scientist at DeepMind. We discuss trends in Deep Reinforcement Learning in 2018 and beyond. We’ve packed a bunch into this show, as Simon...
51 min
329
Trends in Natural Language Processing with Seba...
In this episode of our AI Rewind series, we’ve brought back recent guest Sebastian Ruder, PhD Student at the National University of Ireland and Research Scientist at Aylien, to discuss trends in Natural Language Processing in 2018 and beyond. In our...
51 min
330
Trends in Machine Learning with Anima Anandkuma...
In this episode of our AI Rewind series, we’re back with Anima Anandkumar, Bren Professor at Caltech and now Director of Machine Learning Research at NVIDIA. Anima joins us to discuss her take on trends in the broader Machine Learning field in 2018...
50 min
331
Trends in Deep Learning with Jeremy Howard - TW...
In this episode of our AI Rewind series, we’re bringing back one of your favorite guests of the year, Jeremy Howard, founder and researcher at Fast.ai. Jeremy joins us to discuss trends in Deep Learning in 2018 and beyond. We cover many of the...
67 min
332
Training Large-Scale Deep Nets with RL with Nan...
Today we close out both our NeurIPS series and our 2018 conference coverage with this interview with Nando de Freitas, Team Lead & Principal Scientist at Deepmind and Fellow at the Canadian Institute for Advanced Research. In our conversation, we...
54 min
333
Making Algorithms Trustworthy with David Spiege...
In this, the second episode of our NeurIPS series, we’re joined by David Spiegelhalter, Chair of Winton Center for Risk and Evidence Communication at Cambridge University and President of the Royal Statistical Society. David, an invited speaker at...
22 min
334
Designing Computer Systems for Software with Ku...
Today we’re joined by Kunle Olukotun, Professor in the department of Electrical Engineering and Computer Science at Stanford University, and Chief Technologist at Sambanova Systems. Kunle was an invited speaker at NeurIPS this year, presenting on...
54 min
335
Operationalizing Ethical AI with Kathryn Hume -...
Today we conclude our Trust in AI series with this conversation with Kathryn Hume, VP of Strategy at Integrate AI. You might remember Kathryn from our interview last year on “Selling AI to the Enterprise,” which was . This time around, we discuss...
52 min
336
Approaches to Fairness in Machine Learning with...
Today we continue our exploration of Trust in AI with this interview with Richard Zemel, Professor in the department of Computer Science at the University of Toronto and Research Director at Vector Institute. In our conversation, Rich describes some...
44 min
337
Trust and AI with Parinaz Sobhani - TWiML Talk ...
In today’s episode we’re joined by Parinaz Sobhani, Director of Machine Learning at Georgian Partners. In our conversation, Parinaz and I discuss some of the main issues falling under the “trust” umbrella, such as transparency, fairness and...
45 min
338
Unbiased Learning from Biased User Feedback wit...
In the final episode of our re:Invent series, we're joined by Thorsten Joachims, Professor in the Department of Computer Science at Cornell University. Thorsten participated at the conference’s AI Summit, presenting his research on “Unbiased...
39 min
339
Language Parsing and Character Mining with Jinh...
Today, in the second episode of our re:Invent series, we’re joined by Jinho Choi, assistant professor of computer science at Emory University. Jinho presented at the conference on ELIT — a cloud-based NLP platform — which is short for Evolution...
46 min
340
re:Invent Roundup Roundtable 2018 with Dave McC...
For today’s show, I’m excited to present our second annual re:Invent Roundtable Roundup. This year I’m joined by my friends Dave McCrory, VP of Software Engineering at Wise.io at GE Digital, and Val Bercovici, Founder and CEO of Pencil...
66 min
341
Knowledge Graphs and Expert Augmentation with M...
Today we’re joined by Marisa Boston, Director of Cognitive Technology in KPMG’s Cognitive Automation Lab. Marisa and I caught up to discuss some of the ways that they’re using AI to build tools that help augment the knowledge of KPMG’s teams...
45 min
342
ML/DL for Non-Stationary Time Series Analysis i...
Today, we’re joined by Stuart Reid, Chief Scientist at NMRQL Research. NMRQL, based in Stellenbosch, South Africa, is an investment management firm that uses machine learning algorithms to make adaptive, unbiased, scalable, and testable trading...
57 min
343
Industrializing Machine Learning at Shell with ...
In this episode of our AI Platforms series, we’re joined by Daniel Jeavons, General Manager of Data Science at Shell. In our conversation, Daniel and I explore the evolution of analytics and data science at Shell, and cover a ton of interesting...
44 min
344
Resurrecting a Recommendations Platform at Comc...
In this episode of our AI Platforms series, we’re joined by Leemay Nassery, Senior Engineering Manager and head of the recommendations team at Comcast. Leemay spoke at the Strange Loop conference a few months ago on “Resurrecting a recommendations...
46 min
345
Productive Machine Learning at LinkedIn with Be...
In this episode of our AI Platforms series, we’re joined by Bee-Chung Chen, Principal Staff Engineer and Applied Researcher at LinkedIn. Bee-Chung and I caught up to discuss LinkedIn’s internal AI automation platform, Pro-ML, which was built with...
46 min
346
Scaling Deep Learning on Kubernetes at OpenAI w...
In this episode of our AI Platforms series we’re joined by OpenAI’s Head of Infrastructure, Christopher Berner. Chris has played a key role in overhauling OpenAI’s deep learning infrastructure of the course of his two years with the company. In...
48 min
347
Bighead: Airbnb's Machine Learning Platform wit...
In this episode of our AI Platforms series, we’re joined by Atul Kale, Engineering Manager on the machine learning infrastructure team at Airbnb. Atul and I met at the Strata Data conference a while back to discuss Airbnb’s internal machine...
48 min
348
Facebook's FBLearner Platform with Aditya Kalro...
In this, the kickoff episode of our AI Platforms series, we’re joined by Aditya Kalro, Engineering Manager at Facebook, to discuss their internal machine learning platform FBLearner Flow. Introduced in May of 2016, FBLearner Flow is the workflow...
37 min
349
Geometric Statistics in Machine Learning w/ geo...
In this episode we’re joined by Nina Miolane, researcher and lecturer at Stanford University. Nina and I recently spoke about her work in the field of geometric statistics in machine learning. Specifically, we discuss the application of Riemannian...
42 min
350
Milestones in Neural Natural Language Processin...
In this episode, we’re joined by Sebastian Ruder, a PhD student studying natural language processing at the National University of Ireland and a Research Scientist at text analysis startup Aylien. In our conversation, Sebastian and I discuss recent...
60 min
351
Natural Language Processing at StockTwits with ...
In this episode, we’re joined by Garrett Hoffman, Director of Data Science at Stocktwits. Garrett and I caught up at last month’s Strata Data conference, where he presented a tutorial on “Deep Learning Methods for NLP with Emphasis on Financial...
49 min
352
Advanced Reinforcement Learning & Data Science ...
In this, the final show of our Deep Learning Indaba Series, we speak with Vukosi Marivate, Chair of Data Science at the University of Pretoria and a co-organizer of the Indaba. My conversation with Vukosi fell into two distinct parts. The first part...
45 min
353
AI Ethics, Strategic Decisioning and Game Theor...
In this episode of our Deep Learning Indaba Series, we’re joined by Osonde Osoba, Engineer at RAND Corporation and Professor at the Pardee RAND Graduate School. Osonde and I spoke on the heels of the Indaba, where he presented on AI Ethics and...
46 min
354
Acoustic Word Embeddings for Low Resource Speec...
In this episode of our Deep Learning Indaba Series, we’re joined by Herman Kamper, Lecturer in the electrical and electronics engineering department at Stellenbosch University in SA and a co-organizer of the Indaba. Herman and I discuss his work on...
60 min
355
Learning Representations for Visual Search with...
In this episode of our Deep Learning Indaba series, we’re joined by Naila Murray, Senior Research Scientist and Group Lead in the computer vision group at Naver Labs Europe. Naila presented at the Indaba on computer vision, and in this discussion we...
40 min
356
Evaluating Model Explainability Methods with Sa...
In this, the first episode of the Deep Learning Indaba series, we’re joined by Sara Hooker, AI Resident at Google Brain. I had the pleasure of speaking with Sara in the run-up to the Indaba about her work on interpretability in deep neural networks....
62 min
357
Graph Analytic Systems with Zachary Hanif - TWi...
In this, the final episode of our Strata Data Conference series, we’re joined by Zachary Hanif, Director of Machine Learning at Capital One’s Center for Machine Learning. Zach led a session at Strata called “Network effects: Working with modern...
53 min
358
Diversification in Recommender Systems with Ahs...
In this episode of our Strata Data conference series, we’re joined by Ahsan Ashraf, data scientist at Pinterest. In our conversation, Ahsan and I discuss his presentation from the conference, “Diversification in recommender systems: Using topical...
43 min
359
The Fastai v1 Deep Learning Framework with Jere...
In today's episode we’ll be taking a break from our and presenting a special conversation with Jeremy Howard, founder and researcher at Fast.ai. Fast.ai is a company many of our listeners are quite familiar with due to their popular deep learning...
70 min
360
Federated ML for Edge Applications with Justin ...
In this episode of our Strata Data conference series, we’re joined by Justin Norman, Director of Research and Data Science Services at Cloudera Fast Forward Labs. Fast Forward Labs was an Applied AI research firm and consultancy founded by Hilary...
46 min
361
Exploring Dark Energy & Star Formation w/ ML wi...
In today’s episode of our Strata Data series, we’re joined by Viviana Acquaviva, Associate Professor at City Tech, the New York City College of Technology. Viviana led a tutorial at the conference, titled “Learning Machine Learning using...
39 min
362
Document Vectors in the Wild with James Dreiss ...
In this episode of our Strata Data series we’re joined by James Dreiss, Senior Data Scientist at international news syndicate Reuters. James and I sat down to discuss his talk from the conference “Document vectors in the wild, building a content...
39 min
363
Applied Machine Learning for Publishers with Na...
In today’s episode we’re joined by Naveed Ahmad, Senior Director of data engineering and machine learning at Hearst Newspapers. A few months ago, Naveed gave a talk at the Google Cloud Next Conference on “How Publishers Can Take Advantage of...
38 min
364
Anticipating Superintelligence with Nick Bostro...
In this episode, we’re joined by Nick Bostrom, professor in the faculty of philosophy at the University of Oxford, where he also heads the Future of Humanity Institute, a multidisciplinary institute focused on answering big-picture questions for...
43 min
365
Can We Train an AI to Understand Body Language?...
In this episode, we’re joined by Hanbyul Joo, a PhD student in the Robotics Institute at Carnegie Mellon University. Han, who is on track to complete his thesis at the end of the year, is working on what is called the “Panoptic Studio,” a...
50 min
366
Biological Particle Identification and Tracking...
In today’s episode we’re joined by Jay Newby, Assistant Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta. Jay joins us to discuss his work applying deep learning to biology, including his paper...
44 min
367
AI for Content Creation with Debajyoti Ray - TW...
In today’s episode we’re joined by Debajyoti Ray, Founder and CEO of RivetAI, a startup producing AI-powered tools for storytellers and filmmakers. Rivet’s tools are inspired in part by the founders’ collaboration with the team that created...
54 min
368
Deep Reinforcement Learning Primer and Research...
Today we’re joined by Kamyar Azizzadenesheli, PhD student at the University of California, Irvine, and visiting researcher at Caltech where he works with Anima Anandkumar, who you might remember from . We begin with a reinforcement learning primer...
93 min
369
OpenAI Five with Christy Dennison - TWiML Talk ...
Today we’re joined by Christy Dennison, Machine Learning Engineer at OpenAI. Since joining OpenAI earlier this year, Christy has been working on OpenAI’s efforts to build an AI-powered agent to play the DOTA 2 video game. Our conversation begins...
47 min
370
How ML Keeps Shelves Stocked at Home Depot with...
Today we’re joined by Pat Woowong, principal engineer in the applied machine intelligence group at The Home Depot. We discuss a project that Pat recently presented at the Google Cloud Next conference which used machine learning to predict shelf-out...
44 min
371
Contextual Modeling for Language and Vision wit...
Today we’re joined by Nasrin Mostafazadeh, Senior AI Research Scientist at New York-based Elemental Cognition. Our conversation focuses on Nasrin’s work in event-centric contextual modeling in language and vision, which she sees as a means of...
48 min
372
ML for Understanding Satellite Imagery at Scale...
Today we’re joined by Kyle Story, computer vision engineer at Descartes Labs. Kyle and I caught up after his recent talk at the Google Cloud Next Conference titled “How Computers See the Earth: A Machine Learning Approach to Understanding...
55 min
373
Generating Ground-Level Images From Overhead Im...
Today we’re joined by Yi Zhu, a PhD candidate at UC Merced focused on geospatial image analysis. In our conversation, Yi and I take a look at his recent paper “.” Yi and I discuss the goal of this research, which is to train effective land-use...
37 min
374
Vision Systems for Planetary Landers and Drones...
Today we’re joined by Larry Matthies, Sr. Research Scientist and head of computer vision in the mobility and robotics division at JPL. Larry joins us on the heels of two presentations at this year’s CVPR conference, the first on Onboard Stereo...
42 min
375
Learning Semantically Meaningful and Actionable...
In this episode I'm joined by Ashutosh Saxena, a veteran of Andrew Ng’s Stanford Machine Learning Group, and co-founder and CEO of Caspar.ai. Ashutosh and I discuss his RoboBrain project, a computational system that creates semantically meaningful...
44 min
376
AI Innovation for Clinical Decision Support wit...
In this episode I speak with Joe Connor, Founder of Experto Crede. Joe’s been listening to the podcast for a while and he and I connected after he reached out to discuss an article I wrote regarding AI in the healthcare space. In this conversation,...
41 min
377
Dynamic Visual Localization and Segmentation wi...
In this episode I'm joined by Laura Leal-Taixé, Professor at the Technical University of Munich where she leads the Dynamic Vision and Learning Group, and 2017 recipient of prestigious Sofja Kovalevskaja Award. In our conversation, we discuss several...
43 min
378
Conversational AI for the Intelligent Workplace...
In this episode I'm joined by Gillian McCann, Head of Cloud Engineering and AI at Workgrid Software.   Workgrid offers an intelligent workplace assistant that integrates with a variety of business tools and systems. In our conversation, which...
35 min
379
Computer Vision and Intelligent Agents for Wild...
In this episode, I'm joined by Jason Holmberg, Executive Director and Director of Engineering at WildMe. Wildme’s Wildbook and Whaleshark.org are both open source computer vision based conservation projects, that have been compared to a facebook for...
47 min
380
Pragmatic Deep Learning for Medical Imagery wit...
In this episode I'm joined by Prashant Warier, CEO and Co-Founder of Qure.ai, a company building AI-powered software for radiology. In our conversation, Prashant and I discuss the company’s work building products for interpreting head CT scans and...
35 min
381
Taskonomy: Disentangling Transfer Learning for ...
In this episode I'm joined by Amir Zamir, Postdoctoral researcher at both Stanford & UC Berkeley. Amir joins us fresh off of winning the 2018 CVPR Best Paper Award for co-authoring In this work, Amir and his coauthors explore the relationships...
46 min
382
Predicting Metabolic Pathway Dynamics w/ Machin...
In today’s episode I’m joined by Zak Costello, post-doctoral fellow at the Joint BioEnergy Institute. Zak joins me to discuss his recent paper, “A machine learning approach to predict metabolic pathway dynamics from time-series multiomics...
38 min
383
Machine Learning to Discover Physics and Engine...
In this episode, I’m joined by Nathan Kutz, Professor of applied mathematics, electrical engineering and physics at the University of Washington. Nathan and I met a few months ago at the Prepare.AI conference in St. Louis where he gave a talk on...
42 min
384
Automating Complex Internal Processes w/ AI wit...
In this episode, I'm joined by Alexander Chukovski, Director of Data Services at Munich, Germany based career platform, Experteer. In our conversation, we explore Alex’s journey to implement machine learning at Experteer. Alex and I discuss the...
38 min
385
Designing Better Sequence Models with RNNs with...
In this episode, I'm joined by Adji Bousso Dieng, PhD Student in the Department of Statistics at Columbia University. In this interview, Adji and I discuss two of her recent papers, the first, an accepted paper from this year’s ICML conference...
37 min
386
Love Love: AI and ML in Tennis with Stephanie K...
In this, the final show in our AI in Sports series, I’m joined by Stephanie Kovalchik, Research Fellow at Victoria University and Senior Sports Scientist at Tennis Australia. Stephanie and I had a great conversation about a few of the many...
46 min
387
Growth Hacking Sports w/ Machine Learning with ...
In this episode of our AI in Sports series I'm joined by Noah Gift, Founder and Consulting CTO at Pragmatic Labs and professor at UC Davis. Noah previously worked for a startup called Score Sports, which used machine learning to uncover athlete...
49 min
388
Fine-Grained Player Prediction in Sports with J...
In this episode of the series, I'm joined by Jennifer Hobbs, Senior Data Scientist at STATS, a collector and distributor of sports data, covering sports like basketball, soccer, American football and rugby. Jennifer and I explore the STATS data...
41 min
389
Targeted Ticket Sales Using Azure ML with the T...
In today’s episode of our AI in Sports series I'm joined by Mike Schumacher, director of business analytics for the Portland Trail Blazers, and Chenhui Hu, a data scientist at Microsoft. In our conversation, Mike, Chenhui and I discuss how the...
36 min
390
AI for Athlete Optimization with Sinead Flahive...
Perhaps especially appropriate given that much of the globe is glued to the World Cup at the moment, this week we’re excited to kick off a series of shows on AI in sports. While I'm not personally the biggest sports fan, my producer Imari is a huge...
39 min
391
Omni-Channel Customer Experiences with Vince Je...
In this, the final episode of our PegaWorld serie…
42 min
392
Workforce Intelligence for Automation & Product...
In this episode of our PegaWorld series, I’m join…
35 min
393
Data Platforms for Decision Automation at Scoti...
In this show, part of our PegaWorld 18 series, I'…
31 min
394
Towards the Self-Driving Enterprise with Kirk B...
In this show, the first of our PegaWorld 18 serie…
40 min
395
How a Global Energy Company Adopts ML & AI with...
On today’s show I’m excited to share this intervi…
45 min
396
Problem Formulation for Machine Learning with R...
In this episode, i'm joined by Romer Rosales, Dir…
49 min
397
AI for Materials Discovery with Greg Mulholland...
In this episode I’m joined by Greg Mulholland, Fo…
41 min
398
Data Innovation & AI at Capital One with Adam W...
In this episode I’m joined by Adam Wenchel, vice …
44 min
399
Deep Gradient Compression for Distributed Train...
On today’s show I chat with Song Han, assistant p…
45 min
400
Masked Autoregressive Flow for Density Estimati...
In this episode, University of Edinburgh Phd stud…
33 min