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How Edge as a Service is shaping the future of fan engagement

CIO Business Intelligence

We started working on Tour de France in 2015 and, when we began, the digital capability of the event was very limited,” says Peter Gray, Senior Vice President, Advanced Technology Group (Sport) at NTT. By embracing technologies such as artificial intelligence (AI), the Internet of Things (IoT) and digital twins, A.S.O.

IoT 98
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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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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

datapine

For example, if you enjoy computer science, programming, and data but are too extroverted to program all day long, you could work in a more human-oriented area of intelligence for business, perhaps involving more face-to-face interactions than most programmers would encounter on the job. And it’s completely free!

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Top 10 Management Reporting Best Practices To Create Effective Reports

datapine

As Tyrone Cotie, treasurer of Clearwater Seafoods says in 2015 Benchmarking the Accounting & Finance Function report , “…no matter how quickly you compile and release historical financial statements, you never make a decision from them. They’re also slow. Who are my most profitable clients? History And Trends Of Management Reporting.

Reporting 263
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Introduction To The Basic Business Intelligence Concepts

datapine

A host of business intelligence concepts are executed through intuitive, interactive tools and dashboards – a centralized space that provides the ability to drill down into your data with ease. Just look at these numbers: according to CloudTweaks, in 2015 there were 2.5 But more on that later. They prevent you from drowning in data.

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Modernize Using The BI & Analytics Magic Quadrant

Rita Sallam

It is defined by a self-contained architecture that enables nontechnical users to autonomously execute full-spectrum analytic workflows from data access, ingestion and preparation to interactive analysis, and the collaborative sharing of insights. Q4: Are we going to discuss Predictive types of Analytics in this discussion?