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Monte Zweben on Muck Rack

Monte Zweben

As seen in: The Startup, Harvard Business Review, VentureBeat, Ad Age, GigaOM, HackerNoon, InfoQ, DZone, Towards Data Science, KDnuggets and
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Articles

Unified MLOps: Feature Stores and Model Deployment

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By Monte Zweben
| InfoQ Verified
Transcript Zweben: I'm Monte Zweben, co-founder and CEO of Splice Machine. I'm here to talk about Unified MLOps, bringing together feature stores and a unique approach to machine learning model deployment. Why do you need a feature store? Once companies get started with machine learning, it's usually pretty easy to get one or two models deployed into production. Then once you try to get tens and even hundreds or even thousands of models deployed, you hit a wall. It's too hard.
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Iterating on Models on Operating ML

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By Monte Zweben, Roland Meertens
| InfoQ Verified
Transcript Jördening: We want to talk about iterating on ML models and deploying them. I'm Jendrik. I work here at Nooxit, being the CTO, doing a lot of ML Ops and deploying lots of machine learning into production. Meertens: I'm Roland. I'm currently Product Manager at Annotell. I really like robots and machine learning. The problems I'm thinking about on a daily basis are, how do you collect data to improve your model? How do you train your model? How do you validate that it's correct?
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The Secret to Personalization at Scale

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By Monte Zweben
| RTInsights Verified
Real-time personalization allows businesses to build next-level relationships with their customers. Business is all about relationships. From awareness to retention, what draws customers in and persuades them to stay is how a company makes them feel. And nothing makes a customer feel more special than when a company remembers who they are and gives them what they want. Personalizing service at a local ice cream shop requires remembering names, faces, and regular orders.
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