The Data Exchange with Ben Lorica

In this episode of the Data Exchange, our special correspondent and managing editor Jenn Webb organized a mini-panel composed of myself and my podcast co-organizer Mikio Braun. This conversation took place as we were assembling our list of trends for 2022.Download the FREE Report: Trends in Data, Machine Learning, and AI → https://gradientflow.com/2022trendsreport?utm_source=DEpodcastSubscribe: Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS.

This episode features conversations with two experts who have helped train and release models that can recognize, predict, and generate human language on the basis of very large text-based data sets. First is an excerpt of my conversation with Connor Leahy, AI Researcher at Aleph Alpha GmbH, and founding member of EleutherAI, (pronounced “ee-luther”) a collective of researchers and engineers building resources and models for researchers who work on natural language models.   Next up is an excerpt from a recent conversation with Yoav Shoham, co-founder of AI21 Labs, creators of the largest language model available to developers. Download a FREE copy of our recent NLP Industry Survey Results:  https://gradientflow.com/2021nlpsurvey/Subscribe: Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

Azeem Ahmed, is Director of Engineering at Shopify, where he leads the team that builds the primitives and the API’s used by all data scientists, machine learning engineers, and members of Shopify's engineering team. Our conversation focused on the evolution and design of data and machine learning platforms within Shopify. Azeem and I also discussed broader trends, including the rise of modern data platforms and the maturation of data lakehouses.Download a FREE copy of our recent NLP Industry Survey Results:  https://gradientflow.com/2021nlpsurvey/Subscribe: Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

Christopher Nguyen is CEO and co-founder of Aitomatic, a startup building a platform for Industrial AI applications. Christopher previously held executive and leadership roles at organizations tasked with building machine learning solutions for traditional enterprises. Our conversation centered around what Christopher terms, AI Engineering – a new discipline concerned with the qualitative and quantitative design, construction, and operation of systems with artificial-intelligence capabilities.Download a FREE copy of our recent Data Engineering Survey Results:  https://gradientflow.com/2022desurveySubscribe: Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

This week’s guest is Anshul Pandey, CTO and co-founder at Accern, a startup helping financial services companies build and deploy AI applications via a no-code platform. Our conversation focused on the specific challenges of building AI and NLP applications within financial services. Download a FREE copy of our recent NLP Industry Survey Results:  https://gradientflow.com/2021nlpsurvey/Subscribe: Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

Che Sharma is the founder and CEO of Eppo, an experimentation framework that integrates with modern data platforms (cloud lakehouses and cloud data warehouses). We discuss the importance of investing in experimentation tools and the power of having a well-oiled experimentation culture within an organization. Che also explains how modern data platforms enable applications like experimentation frameworks like Eppo.Download a FREE copy of our recent Data Engineering Survey Results:  https://gradientflow.com/2022desurveySubscribe: Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

Happy Thanksgiving to listeners who celebrate it! This episode features conversations with two experts who have been applying reinforcement learning to problems in industry. First is an excerpt of my conversation with  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.  I also include an excerpt of a conversation with Max Pumperla, Data Science Professor at IU International University of Applied Sciences, who at the time of our conversation, was also the Head of Product Research at Pathmind, a SaaS that helps businesses use reinforcement learning in real-world applications.Subscribe: Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

This week’s guest is Nikhil Muralidhar,  a Graduate Research Assistant at Virginia Tech College of Engineering. He is the lead author of an excellent survey paper entitled “Using AntiPatterns to avoid MLOps Mistakes”. Download a FREE copy of our recent Data Engineering Survey Results:  https://gradientflow.com/2022desurveySubscribe: Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

Pardhu Gunnam (CEO) and Mars Lan (CTO), are co-founders of Metaphor Data, creators of the first Modern Metadata Platform. As we noted in a previous post, a metadata fabric is the right foundation for data governance and data discovery solutions, data catalogs, and other enterprise data services. This insight resulted in several metadata systems being created within technology companies a few years ago. In fact, the team at Metaphor created one of the more popular systems – DataHub – while they were at Linkedin.Video version has a detailed table of contents:  https://www.youtube.com/watch?v=W8ZJHN77IegSubscribe: Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

This week’s guest is Yoav Shoham, co-founder of AI21 Labs, creators of the largest language model available to developers. Yoav is also a Professor Emeritus of Computer Science at Stanford University, and a serial entrepreneur who has co-founded numerous data and AI startups. Subscribe: Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.