Blog Data Analytics Deep Learning Prescriptive Analytics 
IBM Big Data Hub
JULY 6, 2023
It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. appeared first on IBM Blog.
Jedox
JULY 31, 2018
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.
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BizAcuity
MARCH 31, 2022
Combined, it has come to a point where data analytics is your safety net first, and business driver second. The aim of predictive analytics is, as the name suggests, to predict and forecast outcomes. Predictive analytics, with the help of machine learning, keeps getting more accurate with the continuous inflow of data.
Smart Data Collective
OCTOBER 13, 2021
There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. This is something that you can learn more about in just about any technology blog. We would like to talk about data visualization and its role in the big data movement.
CDW Research Hub
SEPTEMBER 15, 2020
They can be inflexible and costly since you are not able to scale your usage as you would using a modern data platform and the cloud. They also aren’t built to integrate new technologies such as artificial intelligence and deep learning tools, which can move business to continuous intelligence and from predictive to prescriptive analytics.
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