From virtual assistants to driverless cars, technology imitating human intelligence is on the rise. But at what ethical cost and how do boards future-proof their organisations in the face of rapid change? Earlier this year, a Japanese insurance company made headlines for doing something that company executives and directors around the world have been anticipating - and fearing - for years. Fukoku Mutual Life Insurance made 34 of its staff redundant and replaced them with artificial intelligence (AI) system IBM Watson. Japanese newspaper The Mainichi reported the company will be using Watson to determine payout amounts and check customer cases against their insurance contracts. Evidently, the future of AI is already here and technology has been changing the world at a dramatic pace.
Machine Learning is the new buzz word and AI is the slang word these days. What does happen in this exiting field in Europe? Is AI common ground for all businesses or the exclusive territory for a few? Who has managed to validate a business model for autonomous vehicles or chatbots?Whatdoesdata-drivenor API-firstbusinessmodelslook like? With this report we want to provide a comprehensive review of investment in startups and high-growth AI and Data Analytics companies across 22 countries in Europe.
Blade Runner came out in 1982 and made some dazzling predictions for what the world of 2019 would look like. Unless your last name is Kurzweil, it's tough to forecast more than thirty years of technological advancement. Do you have a sense what the city of 2030 will look like? Consumer expectations don't always align with reality, but they can serve as important markers of market preparedness for new technologies. A glimpse into the future of money: Spain's banking revolution shows what's next for your cash In Spain, where smartphone use is the norm and peer-to-peer lending is taking off, banks' shift from payment processors to financial services advisors is particularly noticeable.