CIOs have a major role to play in preparing businesses for the impact that artificial intelligence (AI) will have on business strategy and human employment, according to Gartner, Inc. Gartner predicts that by 2022, smart machines and robots may replace highly trained professionals in tasks within medicine, law and IT.
"Innovations in digitization, analytics, artificial intelligence, and automation are creating performance and productivity opportunities for business and the economy, even as they reshape employment and the future of work."
Ryan Stout, the creator of Arsenal, told The Verge over email that he thinks his product fills a gap in the market. Stout says camera companies have underinvested in auto modes as they're usually disdained by pro photographers (for good reason, he notes). This means, Stout says, they haven't kept up with the advances possible using AI and new hardware.
Google Sheets is getting smarter. After adding the machine learning-powered "Explore" feature last year, which lets you ask natural language questions about your data, it's now expanding this feature to also automatically build charts for you. This means you can now simply ask Sheets to give you a "bar chart for fidget spinner sales" and it will automatically build one for you.
Experts predict a 50 percent chance that AI will be better than humans at more or less everything in about 45 years time, i.e. the point of 'Singularity'.
The debate between artificial intelligence (AI) and intelligence augmentation (IA) has been raging for decades. Will computer systems replace humans with a faster, smarter form of intelligence (AI) or will they augment our existing human intelligence and work alongside us (IA)?
Hidden biases may be written inadvertently into the algorithms used to decide who gets a job interview or who qualifies for a loan or for parole. If a data set considers the word "programmer" closer to the word "man" than "woman," or if you build a system that learns from Wikipedia, where only 17 per cent of profiles of notable people are women, these biases will be perpetuated in the machine.
The application of AI to the development of smarter robo-advisers offers a dichotomy of hope or fear that it could yield 'intelligent' and cost-effective investment management advice.
"It is somewhat safe to predict that AI will continue to be at the top of the hype cycle in 2018. But the following 51 predictions also envision it becoming more practical and useful, automating some jobs and augmenting many others, combining machine learning and big data for fresh insights, with chatbots proliferating in the enterprise."