Ben Lorica

The Data Exchange with Ben Lorica

A series of informal conversations with thought leaders, researchers, practitioners, and writers on a wide range of topics in technology, science, and of course big data, data science, artificial intelligence, and related applications. Anchored by Ben Lorica (@BigData), the Data Exchange also features a roundup of the most important stories from the worlds of data, machine learning and AI. Detailed show notes for each episode can be found on https://thedataexchange.media/ The Data Exchange podcast is a production of Gradient Flow [https://gradientflow.com/].

Author

Ben Lorica

Category

Technology

Podcast website

thedataexchange.media

Latest episode

Jul 11, 2026

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Episodes

What is AI Engineering? 16.12.2021

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 qua...

NLP and AI in Financial Services 09.12.2021

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/ Subscrib...

Modern Experimentation Platforms 02.12.2021

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 fram...

Reinforcement Learning in Real-World Applications 24.11.2021

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 Zea...

MLOps Anti-Patterns 18.11.2021

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/2022desurvey Subscribe : Apple • Android • Spotify • Stitcher • Google • AntennaPod •...

Why You Need a Modern Metadata Platform 11.11.2021

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 ye...

Making Large Language Models Smarter 04.11.2021

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 D...

AI Begins With Data Quality 28.10.2021

This week’s guest is Jeremy Stanley , co-founder and CTO of Anomalo , a startup building SaaS tools to help companies with data quality .   Prior to Anomalo, Jeremy was VP of Data Science at Instacart. 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 .

Modernizing Data Integration 21.10.2021

This week’s guest is Michel Tricot , co-founder and CEO of Airbyte , a startup behind the popular open source project with the same name. While still a relatively young open source project, Airbyte has emerged a favorite among data and platform engineers tasked with building and maintaining data integration systems within companies. Subscribe : Apple • Android • Spotify • Stitcher • Google • Anten...

Deploying Machine Learning Models Safely and Systematically 14.10.2021

This week’s guest is Hamel Husain , Staff Machine Learning Engineer at GitHub and a core developer for fastai . Prior to GitHub, Hamel worked on machine learning applications and systems at  Airbnb and DataRobot. 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 .

Large-scale machine learning and AI on multi-modal data 07.10.2021

This week’s guest is Bob Friday , VP and CTO at Mist Systems a Juniper Company.  Bob is a serial entrepreneur and seasoned technologist, and at Mist  his team uses data technologies, machine learning , and AI to “optimize user experiences and simplify operations across the wireless access, wired access, and SD-WAN domains”. Bob and his team build models from structured, semi-structured, and unstru...

Machine Learning in Astronomy and Physics 30.09.2021

This week’s guest is Dr. Viviana Acquaviva , Associate Professor in the Physics Department at the CUNY NYC College of Technology and at the CUNY Graduate Center. She is an Astrophysicist with a strong interest in Data Science and Machine Learning. Subscribe : Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS . Detailed show notes can be found on The Data Exchange web site . Subscrib...

The Unreasonable Effectiveness of Multiple Dispatch 23.09.2021

This week I have my annual check-in on the state of Julia with Viral Shah , Co-founder and CEO of Julia Computing . Since we spoke last year, Julia continues to make inroads and grow its user base, and Julia Computing closed their $24M Series A round in July. Subscribe : Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS . Detailed show notes can be found on The Data Exchange web sit...

How To Lead In Data Science 16.09.2021

This week our special correspondent and editor Jenn Webb and I speak with Jike Chong and Cathy Chang , executives and seasoned leaders of data science teams. Our conversation is focused on their new book “How to Lead in Data Science” . Subscribe : Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS . Detailed show notes can be found on The Data Exchange web site . Subscribe to The Gra...

Why interest in graph databases and graph analytics are growing 09.09.2021

In this episode of the Data Exchange, our special correspondent and editor Jenn Webb organized a mini-panel composed of myself and Paco Nathan , author, teacher, and founder of Derwen.ai , a boutique consulting firm specializing in Data, machine learning, and AI.  Of late, Paco has been doing a lot of work with graphs and as such he’s had to immerse himself in the world of graph data management te...

The State of Data Journalism 02.09.2021

This week our special correspondent and editor Jenn Webb speak with Tara Kelly , Data Editor at DataJournalism.com (DJC) an organization created by the European Journalism Centre . DJC provides journalists and media groups with free resources, materials, online video courses and community forums. Most recently they created two free e-books: The Verification Handbook and an updated edition of the D...

Auditing machine learning models for discrimination, bias, and other risks 26.08.2021

This week’s guest are Rayid Ghani ,  Distinguished Career Professor in the Machine Learning Department and the Heinz College of Information Systems and Public Policy at Carnegie Mellon University, and 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 focu...

An oscilloscope for deep learning 19.08.2021

This week’s guest is Charles Martin , independent researcher and founder of Calculation Consulting , a boutique consultancy focused on data science and machine learning. Along with Michael Mahoney and Serena Peng, Charles is co-author of a recent Nature paper on new methods for evaluating and tuning deep learning models ( “Predicting trends in the quality of state-of-the-art neural networks withou...

What’s new in data engineering 12.08.2021

This week our special correspondent and editor Jenn Webb organized a mini-panel composed of myself and Jesse Anderson , Managing Director at the Big Data Institute. Jesse is the author of a recent book entitled “Data Teams: A Unified Management Model for Successful Data-Focused Teams” . This conversation was focused on key areas in data engineering. Subscribe : Apple • Android • Spotify • Stitcher...

The evolution of the data science role and of data science tools 05.08.2021

This week our managing editor Jenn Webb and I speak with Sean Taylor , Data Science Manager at Lyft. Sean was previously a research scientist and manager at Facebook where he was instrumental in the creation and release of Prophet, a very popular open source library for time-series forecasting. Subscribe : Apple • Android • Spotify • Stitcher • Google • RSS . Detailed show notes can be found on Th...

Data Augmentation in Natural Language Processing 29.07.2021

This week’s guests are Steven Feng , Graduate Student and Ed  Hovy , Research Professor, both from the Language Technologies Institute of Carnegie Mellon University. We discussed their recent survey paper on Data Augmentation Approaches in NLP ( GitHub ), an active field of research on techniques for increasing the diversity of training examples without explicitly collecting new data. One key reas...

Storage Technologies for a Multi-cloud World 22.07.2021

This week’s guest is Brad King , CTO of Scality, a company that builds software-defined file and object storage systems for hybrid & multi-cloud settings. Storage and compute are the basic building blocks of (cloud) computing platforms and this episode highlights all the important considerations and recent innovations in storage technologies that data engineers, architects, and machine learnin...

Building a next-generation dataflow orchestration and automation system 15.07.2021

In this episode, our managing editor Jenn Webb and I speak with Chris White , CTO of Prefect , a startup building tools to help companies build, monitor, and manage dataflows. Prefect originated from lessons Chris and his co-founder learned while they were at Capital One, where they were early users and contributors to related projects like Apache Airflow. Subscribe : Apple • Android • Spotify • S...

Building a flexible, intuitive, and fast forecasting library 08.07.2021

This week’s guests are Reza Hosseini , Staff Software Engineer, and Albert Chen , Staff Data Scientist, both at Linkedin. Reza and Albert are part of the team behind the new open source library Greykite , a flexible and fast library for time-series forecasting. Subscribe : Apple • Android • Spotify • Stitcher • Google • RSS . Detailed show notes can be found on The Data Exchange web site . Subscri...

Neural Models for Tabular Data 01.07.2021

This week’s guest is Sercan Arik , Research Scientist at Google Cloud AI. Sercan and his collaborators recently published a paper on TabNet , a deep neural network architecture for tabular data. It uses sequential attention to select features, is explainable, and based on tests Sarjan and team have done spanning many domains, TabNet outperforms or is on par with other models (e.g., XGBoost) on cla...

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