Data Science Digital Transformation Forecasting Prescriptive Analytics 
Rocket-Powered Data Science
SEPTEMBER 25, 2022
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.
Rocket-Powered Data Science
MARCH 19, 2021
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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CIO Business Intelligence
JUNE 7, 2022
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.
BizAcuity
MARCH 31, 2022
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. Artificial Intelligence Analytics. AI in Finance.
Andrew White
JANUARY 11, 2021
As such a head of analytics, BI and data science may emerge. Are you anticipating continued separation of “BI/Analytics” teams from “Data Science” teams or are those roles merging in the years ahead? Many data science labs are set up as shared services. That’s the idea.
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