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
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
Understand the importance of communication skills and data quality for data science and big data.
- By Lindsay Stares
- July 25, 2017
The latest on AI-driven sentiment analytics, how big data is optimizing energy use, and how IoT devices are affecting food regulations.
- By Lindsay Stares
- July 13, 2017
Facial recognition technology allows us to recognize prospects and link them to our customer data warehouses while potentially providing an additional data source.
- By Mike Schiff
- July 13, 2017
The hunger for profit is driving the convergence of the digital and physical worlds, which raises some deeply disturbing privacy implications.
- By Barry Devlin
- July 10, 2017
Bias is everywhere -- even in analytics. The best way to control for bias is to incorporate a diversity of experiences and perspectives in the teams we use to design and maintain predictive, machine learning, and AI systems.