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MLOps and the evolution of data science

IBM Big Data Hub

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

For example, re-packing corporate records can help weave a narrative to promote a brand, enhance corporate social responsibility outreach programs, improve employee loyalty, enhance diversity, equality and inclusion training, and highlight environment, social and governance initiatives. Customer Data Platforms (CDP). Data Analytics.

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Celebrating 40 years of Db2: Running the world’s mission critical workloads

IBM Big Data Hub

Codd published his famous paper “ A Relational Model of Data for Large Shared Data Banks.” ” His paper and research went on to inspire Donald D. watsonx.data integration At Think, IBM announced watsonx.data as a new open, hybrid and governed data store optimized for all data, analytics, and AI workloads.