Financial services can benefit from the many competitive use cases enabled by artificial intelligence and machine learning, but adoption has been slow.
- By Brian J. Dooley
- March 13, 2017
O'Connell spoke recently about his work "at the confluence of analytics software and customers' business problems" and what he sees as the future of AI solutions.
- By James E. Powell
- March 10, 2017
In order to use advanced analytics insights, we must identify and control for our biases. In all likelihood, we're going to be surprised by what we find.
Learn about data science improving incentive programs, AI changing customer service, and machine learning discovering and creating new materials.
- By Lindsay Stares
- March 2, 2017
The increasing importance of deep learning could bring about another skills shortage as the desire for practitioners outpaces supply.
- By Brian J. Dooley
- February 24, 2017
Deep learning is an increasingly important part of the AI toolkit, yet it is often misunderstood.
- By Brian J. Dooley
- February 23, 2017
Statistical models and machine learning algorithms are often mysterious and confusing for average business and data professionals. However, even the most math-adverse can reach some understanding.
- By William McKnight
- February 22, 2017
Data initiatives that increase government transparency, Google experiments with competitive AIs, and the difference between a data scientist and a data analyst.
- By Lindsay Stares
- February 21, 2017