This week’s guest is Hyun Kim, co-founder and CEO of Superb AI, a startup building tools to help companies manage data across the entire machine learning application lifecycle. This includes tools to label, store, and monitor data assets that power all computer vision applications. We also discussed emerging trends in machine learning and AI including synthetic data, reinforcement learning, and self-supervised learning.

Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.

Detailed show notes can be found on The Data Exchange web site.

Subscribe to The Gradient Flow Newsletter.

This week’s guest is Nicolas (Nic) Hohn, Chief Data Scientist, McKinsey/QuantumBlack Australia. Nic led a team of data scientists charged with helping America’s Cup winning team,  Emirates Team New Zealand, test new designs for hydrofoils – important sailing boat components that could be modified based on rules set forth by race organizers. More precisely the QuantumBlack team used Ray RLlib to design an AI agent that could learn to sail the boat for a given design at an optimal speed, and this AI agent proved crucial during the design process.

Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.

Detailed show notes can be found on The Data Exchange web site.

Subscribe to The Gradient Flow Newsletter.

In this episode of the Data Exchange I speak with Andrew Burt, co-founder and Managing Partner of BNH.ai, a new law firm focused on AI compliance, risk mitigation, and related topics.  BNH is the first law firm run by lawyers and technologists focused on helping companies identify and mitigate risks associated with machine learning and AI. 

Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.

Detailed show notes can be found on The Data Exchange web site.

Subscribe to The Gradient Flow Newsletter.

This week’s guest is Travis Addair, he previously led the team at Uber that was responsible for building Uber’s deep learning infrastructure. Travis is deeply involved with two popular open source projects related to deep learning:

• He is maintainer of Horovod, a distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
• And Travis is a co-maintainer of Ludwig, a toolbox that allows users to train and test deep learning models without the need to write code.

Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.

Detailed show notes can be found on The Data Exchange web site.

Subscribe to The Gradient Flow Newsletter.

In this episode of the Data Exchange, I speak with Yonatan Geifman, CEO and co-founder of Deci, as well as with Ran El-Yaniv, Chief Scientist and co-founder of Deci and Professor of Computer Science at Technion. 

Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.

Detailed show notes can be found on The Data Exchange web site.

Subscribe to The Gradient Flow Newsletter.

In this episode of the Data Exchange, our special correspondent and managing editor Jenn Webb organized a mini-panel composed of myself and Jerry Overton, who previously served as a DXC Fellow, Head of AI at DXC Technology.  We discussed Jerry’s experience helping companies across many industries adopt data science and machine learning. We spoke about Centers of Excellence for AI, automation in the workforce, human-centered and responsible AI, and cyborgs!

Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.

Detailed show notes can be found on The Data Exchange web site.

Subscribe to The Gradient Flow Newsletter.

As the amount and importance of data grows within organizations, there is growing interest in tools that enable them to strategically utilize, manage, and unlock their data resources. This week’s guest is Steven (Steve) Touw, cofounder and CTO of Immuta,  a startup that builds tools that help companies address data governance, data discovery, data privacy and security.

Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.

Detailed show notes can be found on The Data Exchange web site.

Subscribe to The Gradient Flow Newsletter.

In this episode of the Data Exchange, I speak with Davit Buniatyan, founder and CEO of ActiveLoop, a startup building data management tools for unstructured data types commonly associated with deep learning.

Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.

Detailed show notes can be found on The Data Exchange web site.

Subscribe to The Gradient Flow Newsletter.

In this episode of the Data Exchange, I speak Zhe Zhang, Engineering Manager at Anyscale where he leads the team that works on the Ray and its ecosystem of libraries and partners. Ray is an open source, general purpose framework for building distributed applications (more details in this post and video).

Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.

Detailed show notes can be found on The Data Exchange web site.

Subscribe to The Gradient Flow Newsletter.

In this episode of the Data Exchange, I speak with Abe Gong, CEO and co-founder at Superconductive,  a startup founded by the team behind the Great Expectations (GE) open source project. GE is one of a growing number of tools aimed at improving data quality through tools for validation and testing. Other projects in this area include TensorFlow DV, assertr, dataframe-rules-engine, deequ, data-describe, and Apache Griffin.

Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.

Detailed show notes can be found on The Data Exchange web site.

Subscribe to The Gradient Flow Newsletter.