Business Intelligence Data Processing Internet of Things Machine Learning 
datapine
NOVEMBER 19, 2019
In business intelligence, we are evolving from static reports on what has already happened to proactive analytics with a live dashboard assisting businesses with more accurate reporting. This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience.
AWS Big Data
MAY 28, 2024
Now get ready as we embark on the second part of this series, where we focus on the AI applications with Kinesis Data Streams in three scenarios: real-time generative business intelligence (BI), real-time recommendation systems, and Internet of Things (IoT) data streaming and inferencing.
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CIO Business Intelligence
JULY 12, 2022
They must also deliver the speed and low-latency great customer experiences require in an era marked by dramatic innovations in edge computing, artificial intelligence, machine learning, the Internet of Things, unified communications, and other singular computing trends now synonymous with business success.
CIO Business Intelligence
MAY 20, 2022
First is building and buying talent to power National Grid’s IT transformation, which includes digitizing the grid and connecting it to a wide range of internet of thing (IoT) sensors and devices and to the host of emerging renewable energy sources such as solar, wind turbines, hydro innovations, and even battery technology.
CIO Business Intelligence
JANUARY 4, 2023
That has the potential to increase dramatically as organizations embrace AI, the internet of things, blockchain, and other resource-intensive emerging technologies. Cloud migrations have been on the rise in recent years for a host of business reasons, but CIOs serious about sustainability are pulling out all the stops.
Cloudera
AUGUST 28, 2018
From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Enterprise Machine Learning. TECHNICAL IMPACT. Manjeet Rege , Ph.D.,
CIO Business Intelligence
JUNE 13, 2022
Hackenson, for example, says she’s focused on data and has prioritized its use in driving her company’s expanding use of machine learning and artificial intelligence. But they also say the emphasis on that task fluctuates based on a host of factors such as the health of the overall economy.
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