Remove Government Remove Marketing Remove Mining Remove Unstructured data
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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. The global AI market is projected to grow to USD 190 billion by 2025, increasing at a compound annual growth rate (CAGR) of 36.62% from 2022, according to Markets and Markets.

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

IBM Big Data Hub

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.

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

ARMA International

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. Leveraging a cloud-first approach also allows organizations to deliver new market-leading solutions more expediently. Information Governance (IG).

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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

Automation is the next natural step to expand the value of advanced analytics to accelerate improvement cycles, develop hyper-personalized marketing and deliver a superior customer experience. Some utilities have built “data lakes” to handle structured and unstructured data (weather, social media, sensors, etc.),