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Simplifying Production MLOps with Lakehouse AI

databricks

Machine learning (ML) is more than just developing models; it's about bringing them to life in real-world, production systems. But transitioning from prototype.

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Data Engineering Weekly #142

Data Engineering Weekly

🔍 [link] Meta: Scaling the Instagram Explore recommendations system AI plays an important role in what people see on Meta’s platforms. link] Github: [link] Vimeo: From idea to reality - Elevating our customer support through generative AI The application of GenAI has huge potential to disrupt the customer support industry.

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List of Top Data Science Platforms in 2023

Knowledge Hut

In this blog, we go through what a Data Science Platform is, the different types of platforms, and how they can be used to bring value to the business so that the big corporates can stay in the race to conquer the market of the future. It is working to make AI and ML easier. Top Data Science Platforms 1. Platform H2O.ai

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61 Data Observability Use Cases From Real Data Teams

Monte Carlo

In less than three years it has gone from an idea sketched out in a Barr Moses blog post to climbing the Gartner Hype Cycle for Emerging Technology. Differentiate Data Products 25. Move Your Generative AI Strategy From Pitch Deck To Reality 28. Data Warehouse (Or Lakehouse) Migration 34. Detect Data Incidents Faster 3.

Data 52
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61 Data Observability Use Cases That Aren’t Totally Made Up

Monte Carlo

In less than three years it has gone from an idea sketched out in a Barr Moses blog post to climbing the Gartner Hype Cycle for Emerging Technology. Differentiate Data Products 25. Move Your Generative AI Strategy From Pitch Deck To Reality 28. Data warehouse (or Lakehouse) migration 34. Detect data incidents faster 3.