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Maximizing SaaS application analytics value with AI

IBM Journey to AI blog

That’s why today’s application analytics platforms rely on artificial intelligence (AI) and machine learning (ML) technology to sift through big data, provide valuable business insights and deliver superior data observability. AI- and ML-generated SaaS analytics enhance: 1. Predictive analytics.

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Learnings From Building the ML Platform at Stitch Fix

The MLOps Blog

This article was originally an episode of the ML Platform Podcast , a show where Piotr Niedźwiedź and Aurimas Griciūnas, together with ML platform professionals, discuss design choices, best practices, example tool stacks, and real-world learnings from some of the best ML platform professionals. Stefan: Yeah.

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Alation 2022.2: Open Data Quality Initiative and Enhanced Data Governance

Alation

This has created many different data quality tools and offerings in the market today and we’re thrilled to see the innovation. People will need high-quality data to trust information and make decisions. Alation has been leading the evolution of the data catalog to a platform for data intelligence. Book a demo today.

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Five benefits of a data catalog

IBM Journey to AI blog

You have a specific book in mind, but you have no idea where to find it. You enter the title of the book into the computer and the library’s digital inventory system tells you the exact section and aisle where the book is located.

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Why data governance is essential for enterprise AI

IBM Journey to AI blog

Build a governed foundation for generative AI with IBM watsonx and data fabric With IBM watsonx , IBM has made rapid advances to place the power of generative AI in the hands of ‘AI builders’ IBM watsonx.ai Watsonx also includes watsonx.data — a fit-for-purpose data store built on an open lakehouse architecture.