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Join Ads Marketplace to earn through podcast sponsorships.
Manage your ads with dynamic ad insertion capability.
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Earn rewards and recurring income from Fan Club membership.
Get the answers and support you need.
Resources and guides to launch, grow, and monetize podcast.
Stay updated with the latest podcasting tips and trends.
Check out our newest and recently released features!
Podcast interviews, best practices, and helpful tips.
The step-by-step guide to start your own podcast.
Create the best live podcast and engage your audience.
Tips on making the decision to monetize your podcast.
The best ways to get more eyes and ears on your podcast.
Everything you need to know about podcast advertising.
The ultimate guide to recording a podcast on your phone.
Steps to set up and use group recording in the Podbean app.
2x02: The Last Mile - Connecting AI to Enterprise Applications with Monte Zweben
There are many “last mile” items on the enterprise checklist, and companies are struggling to connect everything together. In this episode, Monte Zweben, CEO of Splice Machine, discusses feature stores with Andy Thurai and Stephen Foskett. Data engineers maintain data pipelines, data scientists maintain the data store, and machine learning engineers are trying to create models and package them so they will be useful. One idea is to store a model in a relational database, store records in a feature table, and enable the database to trigger a model based on this data. That’s what Splice Machines is implementing - in-database ML deployment. SQL is making a comeback in ML, with scale-out solutions providing a more familiar and usable environment than leading noSQL databases. Monte believes that SQL will be the dominant data paradigm for machine learning, modeling, experimentation, and deployment. After all, SQL is the dominant language of enterprise data scientists.
Guests and Hosts
Date: 1/12/2021 Tags: @SFoskett, @AndyThurai, @MZweben, @SpliceMachine
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