Daniel Whitenack
Appears in 283 Episodes
Reinforcement Learning for search
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 extens...
When data leakage turns into a flood of trouble
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 ...
Productionizing AI at LinkedIn
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 recr...
R, Data Science, & Computational Biology
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...
Learning about (Deep) Learning
In anticipation of the upcoming NVIDIA GPU Technology Conference (GTC), Will Ramey joins Daniel and Chris to talk about education for artificial intelligence practitio...
When AI goes wrong
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,...
Speech tech and Common Voice at Mozilla
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...
Getting Waymo into autonomous driving
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 Sc...
Hidden Door and so much more
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 revea...
Building the world's most popular data science platform
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 o...
Practical AI turns 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. ...
Attack of the C̶l̶o̶n̶e̶s̶ Text!
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 attac...
🤗 All things transformers with Hugging Face
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 t...
MLOps and tracking experiments with Allegro AI
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 tim...
Practical AI Ethics
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 instituti...
The ins and outs of open source for AI
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...
Operationalizing ML/AI with MemSQL
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 b...
Roles to play in the AI dev workflow
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 ...
The long road to AGI
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 keynot...
Explaining AI explainability
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-lea...
Exploring NVIDIA's Ampere & the A100 GPU
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 f...
AI for Good: clean water access in Africa
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 anal...
Ask us anything (about AI)
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 de...
Reinforcement learning for chip design
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...
Exploring the COVID-19 Open Research Dataset
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 ...
COVID-19 Q&A and CORD-19
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. T...
Mapping the intersection of AI and GIS
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. T...
Welcome to Practical AI
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...
Speech recognition to say it just right
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...
Building a career in Data Science
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 resu...