Remove Data Lakes Remove DataOps Remove Machine Learning
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Popular Machine Learning Libraries, Ethical Interactions Between Humans and AI, and 10 AI Startups…

ODSC - Open Data Science

Popular Machine Learning Libraries, Ethical Interactions Between Humans and AI, and 10 AI Startups in APAC to Follow Demystifying Machine Learning: Popular ML Libraries and Tools In this comprehensive guide, we will demystify machine learning, breaking it down into digestible concepts for beginners, including some popular ML libraries to use.

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The Audience for Data Catalogs and Data Intelligence

Alation

The product concept back then went something like: In a world where enterprises have numerous sources of data, let’s make a thing that helps people find the best data asset to answer their question based on what other users were using. And to determine “best,” we’d ingest log files and leverage machine learning.

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Fabrics, Meshes & Stacks, oh my! Q&A with Sanjeev Mohan

Alation

DataOps sprung up to connect data sources to data consumers. The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. Alation increases the value of your metadata with machine learning, automation, and human knowledge. Tools became stacks.

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Why Lean Data Management Is Vital for Agile Companies

Pickl AI

Begin by identifying bottlenecks in your existing pipeline, such as duplicate data collection points or slow processing times. Implement tools that allow real-time data integration and transformation to maintain accuracy and timeliness. To protect sensitive information, establish clear policies for data access, usage, and retention.