Walmart was one of the omni-channel retail winners in 2020 as it adapted to changing consumer demands triggered by COVID. Chief Customer Officer Janey Whiteside discusses what comes next.
How an AI service won me over by becoming an AI platform - the Otter.ai machine learning transcription example
I'd had plenty of satirical fun at AI's expense. But AI has also changed my content workflow. Here's how an AI service can become an AI platform, overcome glitches, and achieve a different level of user loyalty.
Opacity in AI used to be an academic problem - now it's everyone's problem. In this piece, I define the issues at stake, and how they tie into the ongoing discussion on AI ethics.
Examining the trend towards broader use of internally-designed and customized hardware.
I've addressed whether fairness can be measured - but can it be automated? These are central questions as we contend with the real world consequences of algorithmic bias.
A conversation with Nancy Hauge, CHRO of Robotic Process Automation (RPA) vendor Automation Anywhere.
Siemens Mobility has developed data led services to offer a deep and results based partnership with rail network operators
CEO Sudheesh Nair explains why using dashboards is like looking in the rearview mirror. ThoughtSpot is aiming to be the windscreen of enterprise data.
IT complexity has been a bane of business life for decades; time for something simple...
This year manufacturers were forced to change the way they use technology - and there was no looking back. Plex System's Jerry Foster shares six trends in manufacturing tech to look for in 2021
The year in which robots were still on the rise, but the mainstream media revolution never arrived...but there's always 2021.
By now, most AI practitioners acknowledge the universal prevalence of bias, and the problem of bias in AI modeling. But what about fairness? Can fairness be measured via quantifiable metrics? Some say no - but this is where the debate gets interesting.