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Editorial Review of “Building Industrial Digital Twins”

Rocket-Powered Data Science

This book is a very timely contribution to the world of industrial digital transformation. The digital twin is more than a data collector. examples, with constant reminders that’s it all about the data plus analytics! It is truly a business digital transformation manual. 4) The DT Canvas (chapter 4)!

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

The vast scope of this digital transformation in dynamic business insights discovery from entities, events, and behaviors is on a scale that is almost incomprehensible. Traditional business analytics approaches (on laptops, in the cloud, or with static datasets) will not keep up with this growing tidal wave of dynamic data.

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MRO spare parts optimization

IBM Big Data Hub

These supplies include everything from large infrastructure items such as turbines, generators, transformers and heating, ventilation and air conditioning systems to smaller items like gears, grease and mops. regulations, undergoing digital transformation and the need for cost-cutting. Now, consider the just-in-case approach.

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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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Automated Sales Forecasting with Predictive Analytics Making AI Real (Part 4)

Jedox

In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting. Making AI Real (Part 2).

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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

The next goal, with the aid of partner Findability Sciences, will be to build out ML and AI pipelines into an information delivery layer that can support predictive and prescriptive analytics. “As That is the domain of AI and advanced analytics that serve a role beyond just insight and business optimization.

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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. 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.