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.
476
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
477
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
478
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
479
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
480
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
481
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
482
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
483
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
484
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
485
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
486
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
487
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
488
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
489
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
490
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
491
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
492
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
493
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
494
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
495
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
496
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
497
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
498
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
499
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
500
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