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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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Re-evaluating data management in the generative AI age

IBM Journey to AI blog

For example: Validating and creating data protection capabilities : Data platforms must be prepped for higher levels of protection and monitoring. Data discovery and cataloging tools can assist but should be augmented to make the classification specific to the organization’s understanding of its own data.

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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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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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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 development—from data discovery to model training. Taken as a whole, these enhancements significantly lessen the load of data development.

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AI that’s ready for business starts with data that’s ready for AI

IBM Journey to AI blog

Your data strategy should incorporate databases designed with open and integrated components, allowing for seamless unification and access to data for advanced analytics and AI applications within a data platform. This enables your organization to extract valuable insights and drive informed decision-making.

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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, “We will combine Nextira’s AI, machine learning, and data and analytics abilities with Accenture’s approach to using modern data platforms on the cloud.