At 55, strategy consultant Jukka Virkkunen found himself getting a little too expensive for his clients. His solution? Go back to study - then become a CIO of ambitious Finnish Robotic Process Automation player
It'a a High Velocity Retail world out there - and there are some rules of the road to be understood.
We're at peak hype for AI but finance teams don't have to wait to modernize their budgeting and planning processes, writes Host Analytics' Bill Peterson
Low-code application development vendor Appian sees a way to start selling pre-built applications and solutions to its large enterprise user base and opens up the temptation of using the same approach to move into the mid-sized and small business sectors.
Now that Unit4 has put a microservices-based cloud platform in place, new CEO Mike Ettling wants the company to run like a cloud business
The burgeoning cloud services marketplace could grind to a halt if the reseller channel community fails to get its act together and start taking those services – with their own expertise and IP added in – out to businesses.
Enterprise hits and misses - AI's diversity problem is scrutinized, digital transformation is defined
This week – fresh data on AI’s diversity problem and: does machine learning have a performance problem? Buzzwords get decoded, from edge clouds to digital transformation. Your whiffs include SEO link panhandling with… Tony Robbins?
Geeky reviews of two ML studies - and something nice to say about Tom Davenport!
A brow-beating from Donald Trump wasn't going to take the edge off Twitter CEO Jack Dorsey's good day.
Avoiding a race to bottom on selling AI to unsuitable buyers is only one part of an increasingly complicated set of arguments around ethics, says Microsoft's Chief Legal Officer.
At its annual summit for industry analysts, Workday executives set out how AI and machine learning will change enterprise application architectures
The spat between the US and Huawei, was front and centre, to left and right, above and underneath just about every discussion.
AI may still be a relatively young sector of the tech industry, but the same old diversity mistakes are already all too evident.