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Data structuring

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

JULY 6, 2023

Data science is a broad, multidisciplinary field that extracts value from today’s massive data sets. It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. It’s also necessary to understand data cleaning and processing techniques.

Data science

Data science Big data Analytics Mining

Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

SEPTEMBER 22, 2021

Another example is when sensitive information is removed from transaction data after meeting operational requirements, but the data is kept for analytical processing such as market research and trend analysis. Leveraging a cloud-first approach also allows organizations to deliver new market-leading solutions more expediently.

Digital transformation

Digital transformation Content services IT e-Discovery

Webinars

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

MORE WEBINARS

Information Management Today

Data science vs. machine learning: What’s the difference?

Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

Webinars

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