Data Analytics, Data Processing, Prescriptive Analytics and Statistics

Data science vs. machine learning: What’s the difference?

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.

Machine Learning

Machine Learning Data Science Statistics Deep Learning

The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. New data suggests that pinpoint or targeted efforts are likely to be more effective.

Data Analytics

Data Analytics Analytics Data-driven Finance

What Is Embedded Analytics?

Jet Global

MAY 1, 2023

Some cloud applications can even provide new benchmarks based on customer data. Advanced Analytics Some apps provide a unique value proposition through the development of advanced (and often proprietary) statistical models. These advanced analytics become easy for users to apply in their own analyses.

Analytics

Analytics Cost-Benefit Visualization Dashboards

Data Leaders Brief

Data science vs. machine learning: What’s the difference?

The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

What Is Embedded Analytics?

Webinars

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