Books for aspiring data scientists, data analytics career options, and how data innovation may improve financial regulation.
- By Lindsay Stares
- September 5, 2017
By utilizing AI-powered solutions to delve deeper into customer transactions and relationships, financial institutions can prepare for a more regulated future.
- By David McLaughlin
- August 30, 2017
Understand how statistics differs from machine learning, how algorithms predict weather patterns, and how you should improve your security.
- By Lindsay Stares
- August 29, 2017
Leading companies are embracing GPUs to deliver performance for modern enterprise strategy and take their analytics to the next level.
- By William McKnight
- August 25, 2017
In the age of machine learning and artificial intelligence, data integration plays a key role in the digital transformation of any enterprise in any industry.
- By Arun Patnaik
- August 18, 2017
Why machine learning malfunctions, edge computing may surpass cloud, and IoT devices are difficult to coordinate.
- By Lindsay Stares
- August 15, 2017
Given the increasing risks and regulations faced by enterprises today, AI will be vital for dealing with this complex environment.
- By Brian J. Dooley
- August 11, 2017
Help your data scientist with the right tools, choose the best predictors for your model, and understand why automation might take over more jobs.
- By Lindsay Stares
- August 8, 2017