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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). Data analytics methods and techniques.

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12 most popular AI use cases in the enterprise today

CIO Business Intelligence

Rolls-Royce has also found use for AI in predictive maintenance to improve the efficiency of jet engines and reduce the amount of carbon their planes produce, while also streamlining maintenance schedules through predictive analytics. Artificial Intelligence, Chatbots, IT Strategy, Predictive Analytics

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Digital Twin Use Races Ahead at McLaren Group

CIO Business Intelligence

Meanwhile, the digital twin market is set to grow at a 50% compound annual growth rate, reaching $184.5 For businesses like the McLaren Group, these two trends are at the core of the conglomerate’s digital transformation and competitive strategy, on and off the track. . Just starting out with analytics?

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Trending Technologies for BI & Financial Planning and AnalysisMaking AI Real (Part 2)

Jedox

Part one of our blog series explored how people are the driving force behind the digital transformation and how it is fueled by artificial intelligence and machine learning. Analytic Evolution in Enterprise Performance Management. Advanced analytics responds to next-generation requirements.

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How AI is reshaping demand for IT skills and talent

CIO Business Intelligence

Organizations are also seeking more established IT skills such as predictive analytics, natural language processing, deep learning, and machine learning, says Mike Hendrickson, VP of tech and dev products at Skillsoft. Another area that will benefit from upskilling is AI ethics.

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How to choose the best AI platform

IBM Big Data Hub

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.