10 episodes

AI has captured the world's attention and imagination and will change nearly every aspect of how businesses are built and run. Business leaders will need to rethink their architectures and adapt to remain competitive. Join us on this podcast as we speak to practitioners and builders who are making AI deployments in the enterprise a reality. We'll explore the challenges and opportunities of this transformative technology, and discover how it's being used to drive innovation, efficiency, and growth.

Cross Validated Pauline Yang

    • Technology
    • 4.6 • 5 Ratings

AI has captured the world's attention and imagination and will change nearly every aspect of how businesses are built and run. Business leaders will need to rethink their architectures and adapt to remain competitive. Join us on this podcast as we speak to practitioners and builders who are making AI deployments in the enterprise a reality. We'll explore the challenges and opportunities of this transformative technology, and discover how it's being used to drive innovation, efficiency, and growth.

    AI 2023 Recap + 2024 Predictions with Rob Toews, Partner at Radical Ventures

    AI 2023 Recap + 2024 Predictions with Rob Toews, Partner at Radical Ventures

    Today, we have a special episode with Rob Toews, Partner at Radical Ventures, a VC firm focused on AI. He is also a contributor to Forbes, where he writes about the big picture in AI, and recently spoke at the Ted AI conference. Rob is a good friend whom I talk to a lot about the shifting AI landscape. And given how dynamic 2023 has been in the world of AI, I thought it would be a good way to wrap up the year by talking about some of the key trends in 2023 and some predictions for 2024. Enjoy!

    On this episode, Rob joins Pauline to discuss trends of AI startup funding, open vs. closed source model companies + their business models, longevity of Transformers architecture, and his predictions for GPU shortage and regulation in 2024.

    Subscribe for new podcasts and email feedback to crossvalidated.py@gmail.com.

    Follow on Twitter: @paulinebhyang

    • 56 min
    User Research in Building AI Products w Autodesk’s Tonya Custis

    User Research in Building AI Products w Autodesk’s Tonya Custis

    Today’s guest on Cross Validated is Tonya Custis, who is the Director of AI Research at Autodesk.  Tonya has over a decade of applied AI research experience at Autodesk, Thomson Reuters, eBay, and Honeywell.  Over 100 million people use Autodesk software to unlock their creativity and solve important design, business and environmental challenges.

    On this episode, Tonya joins Pauline to discuss how Autodesk has incorporated generative AI in its broader generative design capabilities, the importance of user testing to personalize where and when to incorporate AI based on different use cases and user personas, and her framework of buying vs. building AI technologies.

    Subscribe for new podcasts and email feedback to crossvalidated.py@gmail.com.

    Follow on Twitter: @paulinebhyang

    • 33 min
    Prototyping vs. Deploying AI with Etsy’s Manju Rajashekhar

    Prototyping vs. Deploying AI with Etsy’s Manju Rajashekhar

    Today’s guest on Cross Validated is Manju Rajashekhar, who is the VP of Engineering at Etsy. Manju has spent over seven years at Etsy, was an early employee at Twitter, and has spent time at VMWare and Microsoft.  Etsy is an ecommerce platform connecting millions of creative buyers and sellers around the world.

    On this episode, Manju joins Pauline to discuss the mature use case of search, ads and recommendations on the Etsy platform, framework of deriving value from AI / ML, the ease of prototyping vs. deploying AI today, and his strong belief why open source will win.  

    Subscribe for new podcasts and email feedback to crossvalidated.py@gmail.com.

    Follow on Twitter: @paulinebhyang

    • 38 min
    Scaling AI Systems Responsibly with PayPal’s Hui Wang

    Scaling AI Systems Responsibly with PayPal’s Hui Wang

    Today’s guest on Cross Validated is Hui Wang, who is the VP of Data Science and Machine Learning at PayPal. She spent nearly 20 years at PayPal and prior to that got a PhD in Statistics.

    On this episode, Hui joins Pauline to discuss the mature use case of fraud detection within PayPal, generative AI opportunity to transform consumer experience and customer service, building AI responsibly including ensuring accurate data at scale, and the importance for AI solutions to scale simultaneously across the technology, compute, and use case discovery.  

    References: 


    Professor Shafi Goldwasser: https://people.csail.mit.edu/shafi/
    Professor Michael Jordan: https://www2.eecs.berkeley.edu/Faculty/Homepages/jordan.html

    Subscribe for new podcasts and email feedback to crossvalidated.py@gmail.com.

    Follow on Twitter: @paulinebhyang

    • 39 min
    No AI without Data with Snowflake's Christian Kleinerman

    No AI without Data with Snowflake's Christian Kleinerman

    Today’s guest on Cross Validated is Christian Kleinerman, Senior Vice President of Product at Snowflake. Prior to Snowflake, he was a Senior Director of Product Management at YouTube and, prior to that, had spent over a decade at Microsoft in various leadership roles.

    On this episode, Christian joins Pauline to discuss why there is no AI strategy without a data strategy, his million model hypothesis, recent announcements at Snowflake Summit, and why data governance, privacy, and security are the most critical barriers to broad and scaled AI deployment.

    Subscribe for new podcasts and email feedback to crossvalidated.py@gmail.com.

    Follow on Twitter: @paulinebhyang

    • 41 min
    AI Impact on Software Development with GitLab’s David DeSanto

    AI Impact on Software Development with GitLab’s David DeSanto

    Today's guest on Cross Validated is David DeSanto, Chief Product Officer at GitLab. GitLab’s AI-powered DevSecOps platform serves more than 30m registered users and 50% of the Fortune 100.

    On this episode, David joins Pauline to discuss how GitLab is embedding AI in every DevSecOps workflow, limitations of deploying AI (including confabulations vs. hallucinations), the value of GitLab’s privacy-first approach to customers’ data, and his reactions to the doomer sentiment of software developers becoming obsolete.

    Subscribe for new podcasts and email feedback to crossvalidated.py@gmail.com.

    Follow on Twitter: @paulinebhyang

    • 50 min

Customer Reviews

4.6 out of 5
5 Ratings

5 Ratings

eeeerrrriiiiikkkkkkkk ,

Informative!

Fun, engaging and informative. Excited for future episodes.

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