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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data.

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

IBM Big Data Hub

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

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

ARMA International

Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain. While these RIM practices are still important to help ensure governance, compliance, and manage risks, it is also important to realize that information is both a product and a service.

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Utilities Digital Journey Insights (Part 3): Data, the new “digital capital” - Going beyond the hype of advanced analytics and AI

CGI

Utilities Digital Journey Insights (Part 3): Data, the new “digital capital” - Going beyond the hype of advanced analytics and AI. The 2018 CGI Client Global Insights reveal that utilities recognize data as the new “digital capital.” What’s holding utilities back from delivering the benefits of data?

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What Is Our Professional Future?

Brandeis Records Manager

When we consider that fixed, controlled records following recordkeeping principles and information governance are typical objectives in our programs, it’s not unreasonable to get a little scared by this. A recent Iron Mountain US government employee survey cited the skills gaps that need to be closed by tomorrow’s info pro.