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Google AI Introduces Croissant: A Metadata Format for Machine Learning-Ready Datasets

Marktechpost

Even among datasets that include the same subject matter, there is no standard layout of files or data formats. This obstacle lowers productivity through machine learning developmentā€”from data discovery to model training. Taken as a whole, these enhancements significantly lessen the load of data development.

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Data platform trinity: Competitive or complementary?

IBM Journey to AI blog

Data platform architecture has an interesting history. A read-optimized platform that can integrate data from multiple applications emerged. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution.

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Data architecture strategy for data quality

IBM Journey to AI blog

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

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Databricks Acquires MosaicML and Other Recent AI Acquisitions

ODSC - Open Data Science

Karthik Narain, global lead for Accenture Cloud First, said of the acquisition, ā€œWe will combine Nextiraā€™s AI, machine learning, and data and analytics abilities with Accentureā€™s approach to using modern data platforms on the cloud.

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IBM to help businesses scale AI workloads, for all data, anywhere

IBM Journey to AI blog

Watsonx.data will be core to IBM’s new AI and Data platform, IBM watsonx, announced today at IBM Think. “IBM and Cloudera customers will benefit from a truly open and interoperable hybrid data platform that fuels and accelerates the adoption of AI across an ever-increasing range of use cases and business processes.”

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Three essential steps to protecting your data across the hybrid cloud

IBM Journey to AI blog

The risks include non-compliance to regulatory requirements and can lead to excessive hoarding of sensitive data when it’s not necessary. It’s both a data security and privacy issue. The post Three essential steps to protecting your data across the hybrid cloud appeared first on IBM Blog.