165 episodes

Every Monday morning, two data nerds - Matt Housley and Joe Reis - have candid and unscripted chats about data.

Monday Morning Data Chat Ternary Data

    • Technology
    • 5.0 • 11 Ratings

Every Monday morning, two data nerds - Matt Housley and Joe Reis - have candid and unscripted chats about data.

    #172 - Yali Sassoon - Using LLMs to Support the Analytics Workflow

    #172 - Yali Sassoon - Using LLMs to Support the Analytics Workflow

    It seems like LLMs are taking the analytics world by storm. But how do you use them to support the analytics workflow? Yali Sassoon (CTO, Co-founder of Snowplow) joins us to chat about this and much more.

    We'll also likely dive into behavioral analytics and more.

    Snowplow: https://snowplow.io/

    • 1 hr 3 min
    #171 - David Yaffe & John Kutay - The State of Streaming and Change Data Capture

    #171 - David Yaffe & John Kutay - The State of Streaming and Change Data Capture

    David Yaffe (Estuary) and John Kutay (Striim) join the show to chat about the state of streaming and change data capture (CDC) in 2024 and beyond. There is a lot to cover and learn in this show.



    Estuary: https://estuary.dev/

    Striim: https://www.striim.com/

    • 1 hr 2 min
    #170 - Solomon Kahn - Customer-Facing Data Products, Why A/B Testing is a Waste of Time, and More

    #170 - Solomon Kahn - Customer-Facing Data Products, Why A/B Testing is a Waste of Time, and More

    Data products are all the rage. But what are they? And what the heck does "customer-facing" mean? Will your old-school BI tool handle customer-facing needs?

    Solomon Kahn joins us to chat about customer-facing data products and much more. He's one of the people we consider to be at the bleeding edge of modern analytics and data products, so definitely check this out.

    Delivery Layer: https://www.deliverylayer.com/
    LinkedIn: https://www.linkedin.com/in/solomonkahn/

    • 59 min
    #169 - Katharine Jarmul - Are We Solving the "Right" Problems with AI?

    #169 - Katharine Jarmul - Are We Solving the "Right" Problems with AI?

    Katharine Jarmul is a AI/ML privacy and security expert, and the author of Practical Data Privacy. She joins us to chat about whether we are solving the "right" problems with AI/ML/data science, exploring what "safe", "responsible", and "ethical" AI means, and much more.

    • 1 hr 2 min
    #168 -Cedric Chin & Sam Taylor - Communicating Sophisticated Stuff to Stakeholders

    #168 -Cedric Chin & Sam Taylor - Communicating Sophisticated Stuff to Stakeholders

    Cedric Chin (CommonCog) and Sam Taylor join us to chat about communicating sophisticated stuff to stakeholders, statistical process control, XmR charts, and a ton more.

    CommonCog: https://commoncog.com/

    XMRIT: https://xmrit.com/

    • 1 hr 11 min
    #167 - Martin Musiol - Generative AI: Navigating the Course to the AGI Future

    #167 - Martin Musiol - Generative AI: Navigating the Course to the AGI Future

    Martin Musiol (Founder and CEO of generativeAI.net and GenAI Lead for Europe at Infosys) joins us to chat about all things generative AI, and his new book, "Generative AI: Navigating the Course to the Artificial General Intelligence Future."

    • 1 hr 2 min

Customer Reviews

5.0 out of 5
11 Ratings

11 Ratings

Olmec7 ,

What’s needed in a data podcast

I’m a senior data engineer at a fortune 100 company.

I listen to different podcasts unrelated to work. I wanted to see if there was something out there similar to other podcast formats but for my line of profession. I think it may be hard to accomplish that.

Most data related podcasts I’ve seen have lots of ads or are catered to beginners. I really was looking for professional’s just having a conversation on a wide range of data engineering topics and not being scared to go real technical. Talk on the current events.

Monday Morning data chat is accomplishing this. Although there might just be a small piece missing. I’ll have to keep listening but on a personal level I don’t know the hosts well. Sometimes just talking about some other current event besides data industry that might be semi related can help the listener warm up to listening to the rest of the content.

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