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Podcasts · Technology

Practical AI

Daniel Whitenack and Chris Benson

300 episodes

Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more).

More about the show

The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!

Episodes page 6 of 6

  1. Going full bore with Graphcore!

    · 44 min · Episode 129

    Dave Lacey takes Daniel and Chris on a journey that connects the user interfaces that we already know - TensorFlow and PyTorch - with the layers that connect to the underlying hardware. Along the way, we learn about…

  2. Next-gen voice assistants

    · 51 min · Episode 128

    Nikola Mrkšić, CEO & Co-Founder of PolyAI, takes Daniel and Chris on a deep dive into conversational AI, describing the underlying technologies, and teaching them about the next generation of voice assistants that will…

  3. Women in Data Science (WiDS)

    · 57 min · Episode 127

    Chris has the privilege of talking with Stanford Professor Margot Gerritsen, who co-leads the Women in Data Science (WiDS) Worldwide Initiative. This is a conversation that everyone should listen to. Professor…

  4. Recommender systems and high-frequency trading

    · 43 min · Episode 126

    David Sweet, author of “Tuning Up: From A/B testing to Bayesian optimization”, introduces Dan and Chris to system tuning, and takes them from A/B testing to response surface methodology, contextual bandit, and finally…

  5. Deep learning technology for drug discovery

    · 57 min · Episode 125

    Our Slack community wanted to hear about AI-driven drug discovery, and we listened. Abraham Heifets from Atomwise joins us for a fascinating deep dive into the intersection of deep learning models and molecule binding.…

  6. Green AI 🌲

    · 1 h 00 min · Episode 124

    Empirical analysis from Roy Schwartz (Hebrew University of Jerusalem) and Jesse Dodge (AI2) suggests the AI research community has paid relatively little attention to computational efficiency. A focus on accuracy…

  7. Low code, no code, accelerated code, & failing code

    · 48 min · Episode 123

    In this Fully-Connected episode, Chris and Daniel discuss low code / no code development, GPU jargon, plus more data leakage issues. They also share some really cool new learning opportunities for leveling up your…

  8. The AI doc will see you now

    · 46 min · Episode 122

    Elad Walach of Aidoc joins Chris to talk about the use of AI for medical imaging interpretation. Starting with the world’s largest annotated training data set of medical images, Aidoc is the radiologist’s best friend,…

  9. Cooking up synthetic data with Gretel

    · 48 min · Episode 121

    John Myers of Gretel puts on his apron and rolls up his sleeves to show Dan and Chris how to cook up some synthetic data for automated data labeling, differential privacy, and other purposes. His military and…

  10. The nose knows

    · 55 min · Episode 120

    Daniel and Chris sniff out the secret ingredients for collecting, displaying, and analyzing odor data with Terri Jordan and Yanis Caritu of Aryballe. It certainly smells like a good time, so join them for this…

  11. Accelerating ML innovation at MLCommons

    · 51 min · Episode 119

    MLCommons launched in December 2020 as an open engineering consortium that seeks to accelerate machine learning innovation and broaden access to this critical technology for the public good. David Kanter, the executive…

  12. The $1 trillion dollar ML model 💵

    · 49 min · Episode 118

    American Express is running what is perhaps the largest commercial ML model in the world; a model that automates over 8 billion decisions, ingests data from over $1T in transactions, and generates decisions in mere…

  13. Getting in the Flow with Snorkel AI

    · 47 min · Episode 117

    Braden Hancock joins Chris to discuss Snorkel Flow and the Snorkel open source project. With Flow, users programmatically label, build, and augment training data to drive a radically faster, more flexible, and higher…

  14. Engaging with governments on AI for good

    · 26 min · Episode 116

    At this year’s Government & Public Sector R Conference (or R|Gov) our very own Daniel Whitenack moderated a panel on how AI practitioners can engage with governments on AI for good projects. That discussion is being…

  15. From research to product at Azure AI

    · 49 min · Episode 115

    Bharat Sandhu, Director of Azure AI and Mixed Reality at Microsoft, joins Chris and Daniel to talk about how Microsoft is making AI accessible and productive for users, and how AI solutions can address real world…

  16. The world's largest open library dataset

    · 44 min · Episode 114

    Unsplash has released the world’s largest open library dataset, which includes 2M+ high-quality Unsplash photos, 5M keywords, and over 250M searches. They have big ideas about how the dataset might be used by ML/AI…

  17. A casual conversation concerning causal inference

    · 51 min · Episode 113

    Lucy D’Agostino McGowan, cohost of the Casual Inference Podcast and a professor at Wake Forest University, joins Daniel and Chris for a deep dive into causal inference. Referring to current events (e.g. misreporting of…

  18. Building a deep learning workstation

    · 49 min · Episode 112

    What’s it like to try and build your own deep learning workstation? Is it worth it in terms of money, effort, and maintenance? Then once built, what’s the best way to utilize it? Chris and Daniel dig into questions…

  19. Killer developer tools for machine learning

    · 51 min · Episode 111

    Weights & Biases is coming up with some awesome developer tools for AI practitioners! In this episode, Lukas Biewald describes how these tools were a direct result of pain points that he uncovered while working as an…

  20. Reinforcement Learning for search

    · 47 min · Episode 110

    Hamish from Sajari blows our mind with a great discussion about AI in search. In particular, he talks about Sajari’s quest for performant AI implementations and extensive use of Reinforcement Learning (RL). We’ve been…

  21. When data leakage turns into a flood of trouble

    · 48 min · Episode 109

    Rajiv Shah teaches Daniel and Chris about data leakage, and its major impact upon machine learning models. It’s the kind of topic that we don’t often think about, but which can ruin our results. Raj discusses how to…

  22. Productionizing AI at LinkedIn

    · 55 min · Episode 108

    Suju Rajan from LinkedIn joined us to talk about how they are operationalizing state-of-the-art AI at LinkedIn. She sheds light on how AI can and is being used in recruiting, and she weaves in some great explanations…

  23. R, Data Science, & Computational Biology

    · 54 min · Episode 107

    We’re partnering with the upcoming R Conference, because the R Conference is well… amazing! Tons of great AI content, and they were nice enough to connect us to Daniel Chen for this episode. He discusses data science…

  24. Learning about (Deep) Learning

    · 53 min · Episode 106

    In anticipation of the upcoming NVIDIA GPU Technology Conference (GTC), Will Ramey joins Daniel and Chris to talk about education for artificial intelligence practitioners, and specifically the role that the NVIDIA…

  25. When AI goes wrong

    · 59 min · Episode 105

    So, you trained a great AI model and deployed it in your app? It’s smooth sailing from there right? Well, not in most people’s experience. Sometimes things goes wrong, and you need to know how to respond to a real life…

  26. Speech tech and Common Voice at Mozilla

    · 59 min · Episode 104

    Many people are excited about creating usable speech technology. However, most of the audio data used by large companies isn’t available to the majority of people, and that data is often biased in terms of language,…

  27. Getting Waymo into autonomous driving

    · 1 h 01 min · Episode 103

    Waymo’s mission is to make it safe and easy for people and things to get where they’re going. After describing the state of the industry, Drago Anguelov - Principal Scientist and Head of Research at Waymo - takes us on…

  28. Hidden Door and so much more

    · 56 min · Episode 102

    Hilary Mason is building a new way for kids and families to create stories with AI. It’s called Hidden Door, and in her first interview since founding it, Hilary reveals to Chris and Daniel what the experience will be…

  29. Building the world's most popular data science platform

    · 59 min · Episode 101

    Everyone working in data science and AI knows about Anaconda and has probably “conda” installed something. But how did Anaconda get started and what are they working on now? Peter Wang, CEO of Anaconda and creator of…

  30. Practical AI turns 100!!! 🎉

    · 1 h 10 min · Episode 100

    We made it to 100 episodes of Practical AI! It has been a privilege to have had so many great guests and discussions about everything from AGI to GPUs to AI for good. In this episode, we circle back to the beginning…

  31. Attack of the C̶l̶o̶n̶e̶s̶ Text!

    · 48 min · Episode 99

    Come hang with the bad boys of natural language processing (NLP)! Jack Morris joins Daniel and Chris to talk about TextAttack, a Python framework for adversarial attacks, data augmentation, and model training in NLP.…

  32. 🤗 All things transformers with Hugging Face

    · 47 min · Episode 98

    Sash Rush, of Cornell Tech and Hugging Face, catches us up on all the things happening with Hugging Face and transformers. Last time we had Clem from Hugging Face on the show (episode 35), their transformers library…

  33. MLOps and tracking experiments with Allegro AI

    · 51 min · Episode 97

    DevOps for deep learning is well… different. You need to track both data and code, and you need to run multiple different versions of your code for long periods of time on accelerated hardware. Allegro AI is helping…

  34. Practical AI Ethics

    · 53 min · Episode 96

    The multidisciplinary field of AI Ethics is brand new, and is currently being pioneered by a relatively small number of leading AI organizations and academic institutions around the world. AI Ethics focuses on ensuring…

  35. The ins and outs of open source for AI

    · 47 min · Episode 95

    Daniel and Chris get you Fully-Connected with open source software for artificial intelligence. In addition to defining what open source is, they discuss where to find open source tools and data, and how you can…

  36. Operationalizing ML/AI with MemSQL

    · 54 min · Episode 94

    A lot of effort is put into the training of AI models, but, for those of us that actually want to run AI models in production, performance and scaling quickly become blockers. Nikita from MemSQL joins us to talk about…

  37. Roles to play in the AI dev workflow

    · 50 min · Episode 93

    This full connected has it all: news, updates on AI/ML tooling, discussions about AI workflow, and learning resources. Chris and Daniel breakdown the various roles to be played in AI development including scoping out a…

  38. The long road to AGI

    · 50 min · Episode 92

    Daniel and Chris go beyond the current state of the art in deep learning to explore the next evolutions in artificial intelligence. From Yoshua Bengio’s NeurIPS keynote, which urges us forward towards System 2 deep…

  39. Explaining AI explainability

    · 47 min · Episode 91

    The CEO of Darwin AI, Sheldon Fernandez, joins Daniel to discuss generative synthesis and its connection to explainability. You might have heard of AutoML and meta-learning. Well, generative synthesis tackles similar…

  40. Exploring NVIDIA's Ampere & the A100 GPU

    · 53 min · Episode 90

    On the heels of NVIDIA’s latest announcements, Daniel and Chris explore how the new NVIDIA Ampere architecture evolves the high-performance computing (HPC) landscape for artificial intelligence. After investigating the…

  41. AI for Good: clean water access in Africa

    · 43 min · Episode 89

    Chandler McCann tells Daniel and Chris about how DataRobot engaged in a project to develop sustainable water solutions with the Global Water Challenge (GWC). They analyzed over 500,000 data points to predict future…

  42. Ask us anything (about AI)

    · 51 min · Episode 88

    Daniel and Chris get you Fully-Connected with AI questions from listeners and online forums: • What do you think is the next big thing? • What are CNNs? • How does one start developing an AI-enabled business solution?…

  43. Reinforcement learning for chip design

    · 45 min · Episode 87

    Daniel and Chris have a fascinating discussion with Anna Goldie and Azalia Mirhoseini from Google Brain about the use of reinforcement learning for chip floor planning - or placement - in which many new designs are…

  44. Exploring the COVID-19 Open Research Dataset

    · 44 min · Episode 86

    In the midst of the COVID-19 pandemic, Daniel and Chris have a timely conversation with Lucy Lu Wang of the Allen Institute for Artificial Intelligence about COVID-19 Open Research Dataset (CORD-19). She relates how…

  45. Achieving provably beneficial, human-compatible AI

    · 53 min · Episode 85

    AI legend Stuart Russell, the Berkeley professor who leads the Center for Human-Compatible AI, joins Chris to share his insights into the future of artificial intelligence. Stuart is the author of Human Compatible, and…

  46. COVID-19 Q&A and CORD-19

    · 54 min · Episode 84

    So many AI developers are coming up with creative, useful COVID-19 applications during this time of crisis. Among those are Timo from Deepset-AI and Tony from Intel. They are working on a question answering system for…

  47. Mapping the intersection of AI and GIS

    · 50 min · Episode 83

    Daniel Wilson and Rob Fletcher of ESRI hang with Chris and Daniel to chat about how AI powered modern geographic information systems (GIS) and location intelligence. They illuminate the various models used for GIS,…

  48. Welcome to Practical AI

    · 1:45 · Trailer

    Practical AI is a weekly podcast that’s marking artificial intelligence practical, productive, and accessible to everyone. If world of AI affects your daily life, this show is for you. Whether you're deep in the tools…

  49. Speech recognition to say it just right

    · 49 min · Episode 82

    Catherine Breslin of Cobalt joins Daniel and Chris to do a deep dive on speech recognition. She also discusses how the technology is integrated into virtual assistants (like Alexa) and is used in other non-assistant…

  50. Building a career in Data Science

    · 51 min · Episode 81

    Emily Robinson, co-author of the book Build a Career in Data Science, gives us the inside scoop about optimizing the data science job search. From creating one’s resume, cover letter, and portfolio to knowing how to…

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