Remove Artificial Intelligence Remove Mining Remove Security 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. 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

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 requires data science tools to first clean, prepare and analyze unstructured big data.

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

ARMA International

Now the Fourth Industrial Revolution [2] is “digitizing the farm”— that is, radically reimagining agriculture through big data analytics that help farmers increase crop yields and using artificial intelligence (AI) to monitor pests, plant diseases, soil nutrients, and other growing conditions. Artificial Intelligence.

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Capgemini and IBM Ecosystem strengthen partnership for Drone-as-a-Service

IBM Big Data Hub

Knowledge catalogues can help organize data effectively, and the data refinery provides out-of-box models for data cleansing. Watson® Discovery in CP4D can help ingest unstructured data (such as inspection reports, progress reports and OEM documentation) and prescribe appropriate SOPs to improve overall asset handling.

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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

Their maturity falls dramatically for all other levels of intelligent automation, as defined in CGI’s framework , including more advanced levels of algorithmic automation, machine learning and artificial intelligence (AI). While how to exploit data might be simple to explain, execution is another matter.

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What Is Our Professional Future?

Brandeis Records Manager

Like most people, I prefer to have a reasonable sense of job security, as long as my interest is engaged. We can also partner with technology in the near term to mitigate the chaos-for example, using R programming tools to mine text, categorize, cluster, and de-duplicate unstructured data collections.