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.
Understanding the interconnection of data through graph and semantic technology will allow us to detect complex problems and enable new use cases.
- By Carl Reed
- June 27, 2017