Remove Data Collection Remove Internet of Things Remove Predictive Analytics Remove Strategy
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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

We no longer should worry about “managing data at the speed of business,” but worry more about “managing business at the speed of data.”. One of the primary drivers for the phenomenal growth in dynamic real-time data analytics today and in the coming decade is the Internet of Things (IoT) and its sibling the Industrial IoT (IIoT).

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

In an interview with the Wall Street Journal, Matthias Winkenbach , director of MIT’s Megacity Logistics Lab, details how last-mile analytics are yielding useful data. After parking nearby, the delivery man’s phone GPS continues to stream data to the UPS center, giving a constant account of how long the delivery is taking.

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Get Ready For These Six 2020 Business Intelligence Trends

Smart Data Collective

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. New Avenues of Data Discovery. Natural Language Processing and Report Generation.

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Future Proof: Technology Solves for Business Value

CIO Business Intelligence

Therefore, the organization is burdened with ensuring that data collected from such devices is being used, shared and protected properly. Data governance, ownership and validity issues rise to the surface and must be addressed. Protiviti Managing Director, Technology Strategy & Operations. Joan Smith. Jason Brucker.

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

At 156 pages on Kindle, this is a book you could finish in one (long) sitting if you were so inclined, and that you can also use as an inspiration when you work on your business intelligence strategy. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz.

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Conversational AI use cases for enterprises

IBM Big Data Hub

Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. Marketing and sales: Conversational AI has become an invaluable tool for data collection.

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Euro Soccer Special: What Football Teaches Us About Analytics

Sisense

Gleaning actionable intelligence from disparate data sources. Football teams rely on huge amounts of data drawn from countless sources to take their play to the next level: Internet of Things sensors and other devices connected to the internet use GPS to track players and the ball’s movement in real time.