We like our historic city centers to seem … historic. Not a bunch of cameras and sensors and cell repeaters stuck onto those charming stone surfaces. It turns out there are plenty of ways to provide intelligent services without digging or pasting.
Challenges of Making Ancient Cities Smart
Photo by Florencia Potter on Unsplash
I worked with IBM Research’s public relations agency on this post about breaking the 100-qubit barrier in quantum computing.
IBM Quantum breaks the 100‑qubit processor barrier
My dive into asset management continues with this story for Avid’s blog:
Asset Management Tips: Helping News Teams Find Footage Faster
There is definitely profit to be had in city data: directly by selling/sharing data and indirectly by saving money and improving every aspect of the city, from transportation to tax collection. While municipalities face a lot of the same challenges in implementing IoT and data analytics that business does, there are specific barriers, including the way cities contract and pay for outside services. Read more:
Blockchain is not all about bitcoin. I identified four promising uses for the technology in the automotive sector. (Forgive my editor’s jokey title.)
Artificial intelligence is a key enabling technology for self-driving and semi-autonomous cars. This report examines the areas where machine learning, deep learning and big data already are deployed, and what the next steps are.
Read it on the Tu-Auto site.
Every company wants to hold onto their customers, but relentless marketing turns people off. This blog post for the IBM Big Data Blog explores three ways businesses can use data to increase loyalty.
Data Is Key to Building Brand Loyalty