Six greats reads: a train ride to the future; searching for the'sky boys' and wallaby hunting in the English countryside Need something brilliant to read this weekend? In Silicon Valley, rival companies are spending trillions of dollars to reach a goal that could change humanity - or potentially destroy it. Robert Booth caught a morning train through the San Francisco outskirts to speak to those working at the cutting edge of this multi-trillion-dollar revolution, where some people worry that the push for AI is "all gas, no breaks". The Irish politician was targeted in 2022, in the final weeks of her run for office. She has never found out who made the malicious deepfake, but knew immediately she had to try to stop this happening to other women.

I've been working with Machine Learning models both in academic and industrial settings for a few years now. I've recently been watching the excellent Scalable ML from Mikio Braun, this is to learn some more about Scala and Spark. His video series talks about the practicalities of'big data' and so made me think what I wish I knew earlier about Machine Learning I'll take each in turn. I gave a talk on Data-Products and getting Ordinary Differential Equations into production. One thing that I didn't realise until sometime afterwards was just how challenging it is to handle issues like model decay, evaluation of models in production, dev-ops etc all by yourself.

We're going to begin to integrate big data, artificial intelligence and machine learning into the provision and production of our goods and services. How we treat our ownership of structured and unstructured data.

Your business doesn't need to be a billion-dollar, multinational company like Walmart, to make use of Big Data, artificial intelligence, etc. In fact, learning how to use this technology could be a distinctive advantage for a small business too. They assume that Big Data and artificial intelligence is reserved exclusively for large companies. That couldn't be further from the truth. The majority of techniques used in Big Data and the Internet of Things (even some artificial intelligence) don't require a large budget or a huge staff.