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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

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Get Ready For These Six 2020 Business Intelligence Trends

Smart Data Collective

New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. New Avenues of Data Discovery. Instead, they’ll turn to big data technology to help them work through and analyze this data.

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The most valuable AI use cases for business

IBM Big Data Hub

Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies. See what’s ahead AI can assist with forecasting. For example, a supply-chain function can use algorithms to predict future needs and the time products need to be shipped for timely arrival.

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data. This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience.