Rackspace Technology just announced the results of a global survey that reveals that the majority of organizations lack the internal resources to support critical AI and machine learning initiatives. Indeed, 34% of respondents reported artificial intelligence projects that failed.

The larger issue is the misapplication of AI and ML for applications where these particular technologies are contraindicated. This has been a problem since the advent of neural networks and AI, which is much longer than you think.

AI on public clouds is just too easy and cheap not to leverage, so it’s being used with business applications where the process

Rackspace Technology just announced the results of a global survey that reveals that the majority of organizations lack the internal resources to support critical AI and machine learning initiatives. Indeed, 34% of respondents reported artificial intelligence projects that failed.

The larger issue is the misapplication of AI and ML for applications where these particular technologies are contraindicated. This has been a problem since the advent of neural networks and AI, which is much longer than you think.

AI on public clouds is just too easy and cheap not to leverage, so it’s being used with business applications where the process

IBM today announced the formation of its Elite Hybrid Cloud Build Team. According to Big Blue, this group of AI and cloud computing experts was assembled to help bring its partners into the cutting edge of hybrid solution systems.

What? While Elite Hybrid Cloud Build Team might sound like a crack squad of futuristic Airborne Seabees, the reality is almost just as cool. Per IBM:

The elite engagement team consists of over 100 cloud architects, data scientists, cloud developers, security specialists, and developer advocates who work on the agile co-creation of advanced technology solutions for partners and their clients.

With