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
Use a big data model to value start-ups, learn the right languages for data science, and understand how the healthcare industry is trying to protect connected devices.
- By Lindsay Stares
- August 22, 2017
Why machine learning malfunctions, edge computing may surpass cloud, and IoT devices are difficult to coordinate.
- By Lindsay Stares
- August 15, 2017
Data-driven businesses are replacing batch ETL uploads with pipelines to transform analytics and business intelligence.
- By Yair Weinberger
- August 7, 2017
A new program to help AI start-ups, how predictive analytics manages industrial risk, and how predictive analytics might cut costs for healthcare organizations.
- By Lindsay Stares
- August 1, 2017
Reaching true system cognition remains in the future, but there are some projects that you can implement today that will improve your users' experience and increase the cognition level in your BI systems.
- By Troy Hiltbrand
- July 31, 2017
It's not enough to have a single customer view, even one compiled from numerous customer channels. You must also expand marketing via advanced analytics.
- By Philip Russom
- July 28, 2017
Choosing a cloud security provider, trends in cloud spending, and pros and cons of different SaaS models.
- By Lindsay Stares
- July 20, 2017