Interested in machine learning? Better learn PyTorch
Don’t look now, but easy, straightforward PyTorch has become the hottest product in data science
Don’t look now, but easy, straightforward PyTorch has become the hottest product in data science
If you think the cloud will drive data centres to extinction and that AI projects are doomed to fail, think again.
The best software is software that companies build to scratch their own itches and address their own day-to-day needs.
We are all open sourcerors now. Let’s look back at some of the most significant open source innovations that got us here.
Are there really more than 40 million software developers on GitHub? Not even close
Relational databases may keep ‘old stack’ workloads, but research suggests NoSQL databases will dominate ‘new stack’ spending
Open source has come under fire in recent years, with companies like MongoDB hoping to shift its very definition to include proprietary software.
Turns out AI isn’t magic pixie dust to sprinkle over legacy processes and legacy tech, but a fundamental rethinking of how to do business
Funding open source has never been more important. It’s also never been harder.
Cloud killed the fortunes of the Hadoop trinity - Cloudera, Hortonworks and MapR - and that same cloud likely won’t rain success down on HPE.
With cloud companies open-sourcing their innovations, and enterprises increasing participation, open source sustainability is at an all-time high.
Multicloud is supposed to lower costs and increase agility and innovation, but the opposite is true
It’s earnings season for the public cloud vendors and the chatter over who’s winning is heating up.
We need to find ways to ensure commercial open source can thrive, without worrying about the big cloud providers sucking out all value without contributing back
The irony is that what makes open source work—and differ from commercial software—is that only a few developers do the major work on any project