Enterprise applications of AI
- February 14, 2019
OpenScale, a new IBM AI product, enables organizations to monitor their AI models. Global services provider KPMG is using OpenScale to help power its own AI monitoring tool.
- January 30, 2019
Project Debater, an IBM AI system, creates viewpoints with the help of people who type in arguments on topics. That may also help drive future business uses.
- January 11, 2019
Adding to the Intel Nervana chip line, Intel and Facebook are expected to launch in the second half of 2019 a new processor designed to speed up inference.
- December 10, 2018
Formula E racing team EVR hopes to drive wins and innovation with a new partnership with Genpact, a professional services firm that offers an AI and analytics platform.
- December 07, 2018
Most businesses have yet to feel the full effect of AI, as enterprises labor to determine where and under what conditions the technology can most effectively be deployed.
- December 06, 2018
Oracle AI capabilities are likely to see a boost, as the vendor now has access to machine learning algorithms that can automatically distill useful information from large bodies of text.
- September 21, 2018
For enterprises looking to introduce chatbots, tips range from testing the bot in many different channels, planning for conversational limitations, and studying successful bots.
- September 20, 2018
While Capital One and Mastercard delve into AI and machine learning to detect credit card fraud, IBM joins the ranks of AI vendors with AI bias detection tools.
- October 26, 2017
In an industry not known for being on the tech cutting edge, some are exploring the business value of artificial intelligence.
- July 31, 2017
Think before you act on artificial intelligence technologies to ensure that your efforts to become a "cognitive business" lead you in the right direction.
- November 10, 2016
In this Q&A, analytics expert Tom Davenport offers pointers for CIOs on setting an enterprise AI strategy.
- September 09, 2016
Responses to a White House request for information on AI software show stakeholders are still split between worry and enthusiasm for this fast-developing technology.