LATEST THOUGHTS, FIELD NOTES AND PRACTICAL PERSPECTIVES
Articles, key takeaways, keynotes, podcasts and conversations that explore the technology, challenge the hype and make the implications practical.
AI can now build surprisingly sophisticated software at remarkable speed. But after one of my apps quietly started moving gigabytes of data from a 52 MB database, I found myself relearning a lesson from my OS/2 days: building the software is becoming the easy bit; understanding what it is actually doing still matters.
Explore this Insight →
I was recently involved in a workshop where the topic of conversation was on the transmission grid, the role of AI, and why modelling power flows is so complicated. Now most of the folks involved were not from the utility or power engineering world, yet the 'hard' question that kept coming up was, why is this so hard?
Explore this Insight →
AI-RAN was not a topic I expected to spend much time on after Mobile World Congress. I understood the basic story: AI can help optimize networks, improve beamforming, manage traffic, reduce energy use, and make radio access networks more efficient. Useful, certainly, but not normally where I spend most of my time.
Explore this Insight →Try clearing one of the filters above.
THE SO WHAT?
The useful question is what a development changes, who it affects, what it makes possible and what still has to happen before it becomes practical.
BRING THE CONVERSATION TO YOUR AUDIENCE
