The ultimate demand for groceries in the UK is distributed over 25 million households. Something like 8,000 suppliers eagerly compete for their business. But the problem for suppliers is that just 8 supermarkets stand between them and 93% of their consumer market.Read More
This is why forecasting commodity prices is so challenging, confounding generations of mathematicians and economists; the sheer scale and complexity of the market is literally mind-boggling. No human could possibly forecast where prices are heading accurately.Read More
Artificial Intelligence has never been less expensive or more accessible, so there is no longer any excuse for not adopting it. For once, the winners in the AI race will be the fastest, nimblest and hungriest, not the behemoths. In this blog, we discuss the benefits of AI for SMEs – as providers of services and products to others, but equally as clients in their own right.Read More
Price volatility in raw materials is a serious business risk for manufacturers. Unmitigated, price risk can lead to large swings in company P&Ls, threatening jobs and overall continuity.
What can be learned from some of the largest losses suffered to date? In this blog, we share our takeaways.Read More
What can Satellites do for our planet?
According to a 2018 estimate, some 4,900 (of 8,100 launched) are currently in orbit, of those about 1,900 are operational. This has led to a number of fascinating uses of satellite imagery being identified, including Commodity Forecasting.
Akin to putting plasters on a dying dinosaur in the hope that it will make the animal feel better, insurers have started experimenting with Artificial Intelligence ‘AI’ in their existing day-to-day operations with focus on the core processes of distribution and claims. Menial, repetitive tasks are being digitized, but for the time being AI application is generally limited to augmenting humans.Read More
Would you rather have a system that diagnosed a terminal disease with 90% accuracy, but where the decision making process was completely unintelligible, or one which was 85% but where a doctor could unpick the inner workings and explain all the factors in the diagnosis?Read More