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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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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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Top 30 Artificial Intelligence (AI) Tools for Data Analysts

Marktechpost

IBM Watson Analytics IBM AI-driven insights are used by Watson Analytics, a cloud-based data analysis and visualization tool, to assist users in understanding their data. Users can rapidly find trends, patterns, and relationships in data using its automatic data discovery tool.