CIO
JANUARY 24, 2024
It’s the culmination of a decade of work on deep learning AI. That decade has given us newfound ways to use AI—from apps that know what you’ll type next, to cars that drive themselves and algorithms for scientific breakthroughs. Model sizes: Uses algorithmic and statistical methods rather than neural network models.
Smart Data Collective
FEBRUARY 23, 2021
Business intelligence is becoming a central aspect of almost every major organization’s business model. Companies around the world are projected to spend $33 billion on business intelligence by 2025. Gamification is one trend that is transforming the arena of business intelligence.
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Smart Data Collective
NOVEMBER 25, 2019
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. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade.
CIO
AUGUST 24, 2023
Multinational data infrastructure company Equinix has been capitalizing on machine learning (ML) since 2018, thanks to an initiative that uses ML probabilistic modeling to predict prospective customers’ likelihood of buying Equinix offerings — a program that has contributed millions of dollars in revenue since its inception.
CIO
JUNE 7, 2022
In business analytics, this is the purview of business intelligence (BI). Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes. Data analytics methods and techniques.
Smart Data Collective
APRIL 12, 2019
The best thing to come out of Brexit is a rulebook of things a business should never do when conceptualizing and putting in place a major decision. Businesses and corporations worldwide could stand to learn a lot from the way Brexit is being handled, both in good ways and bad. Live and Learn. Use of Buzzwords.
Dataversity
JULY 21, 2022
Despite its many benefits, the emergence of high-performance machine learning systems for augmented analytics over the last 10 years has led to a growing “plug-and-play” analytical culture, where high volumes of opaque data are thrown arbitrarily at an algorithm until it yields useful business intelligence.
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