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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. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.

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

IBM Big Data Hub

One ride-hailing transportation company uses big data analytics to predict supply and demand, so they can have drivers at the most popular locations in real time. The company also uses data science in forecasting, global intelligence, mapping, pricing and other business decisions.

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

Jedox

Now, we will take a deeper look into AI, Machine learning and other trending technologies and the evolution of data analytics from descriptive to prescriptive. Analytic Evolution in Enterprise Performance Management. Modern-day forecasting, for example, relies heavily on predictive analysis. Jedox GPU Accelerator.

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management. The aim of predictive analytics is, as the name suggests, to predict and forecast outcomes. AI in Finance.

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Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

Over time, it is true that artificial intelligence and deep learning models will be help process these massive amounts of data (in fact, this is already being done in some fields). In forecasting future events. Prescriptive analytics.