The Prime Minister of Spain has decided to do something about Social Media regulation. No, actually, genuinely do something! That's left certain billionaire egos feeling really pissed. Guess who?
Record enterprise deals drive first $1 billion cloud revenue quarter, with data suggesting AI code generation tools expand Atlassian usage rather than shrink it.
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Former Facebook engineers launch a start-up that aims to build a team communication platform for the AI era that appeals to customers who loved Meta's shuttered Workplace app.
A bad day for Elon Musk, but a worse one for the prospects of getting US/European regulatory rapprochement any closer to reality.
A candid commentary on the pursuit of ROI...
Pegasystems released a new AI-powered capability last summer called Blueprint that could look at all kinds of inputs to create (or re-create anew) applications. Now it has marshalled Blueprint to help users of HCL Notes replace their Notes based apps and subsequently house the data, forms, etc. in a modern application
Social media platforms aren't going to regulate themselves. We should know that by now. And it seems unlikely that their AI counterparts will be any more receptive...
It's not a time to pull back on investing in the future, argues CEO Mark Zuckerberg.
A conversation with Woodson Martin, CEO of OutSystems, uncovers three blockers to enterprise adoption of AI for practical business use cases.
David Sacks is perhaps the most influential tech policy advisor to have the ear of the US President. He sat down in Davos with Salesforce's Marc Benioff the day after the latter had set off some AI truth bombs.
Yes, it's a fabulous time for AI to power new levels of growth, but at what price if we check out our values at the door?
ChargeGuru’s Head of Engineering, Laurent Salomon, tells us how he used low-code tooling and an explicit ontology to build custom apps and re-engineer a fast-growing EV charging company – while making sure the wheels didn’t come off in the process.
Atlassian’s Tiffany To shows that experimentation grounded in real use cases, tested assumptions, and trust is the key to moving AI from theory to traction.
