HomeERP NewsFrom ethics to apprenticeships: How AI will evolve in 2020 From ethics to apprenticeships: How AI will evolve in 2020 alex.chau@getreach.hk January 8, 2020 ERP News No Comments Sending User Review 5 (2 votes) How will AI evolve in the coming year? AI 2020 AI 2020-However, the pace of progress is picking up. In only a few years, AI has gone mainstream, jumping from the laboratory and into our living rooms and offices. As the country enters a new decade, we spoke to several prominent academics, both one-to-one and in anonymised group sessions, for their thoughts on the impact the technology will have in the year ahead. Technology advances slowly and incrementally. When a huge AI milestone is achieved – such as when Deep Blue became the first machine to beat a human chess champion in match play in 1997 – we praise something as a great leap forward that was the product of decades of incremental evolution and repeated failure. AI won’t replace us, but we’ll trust it more Automation and job losses are likely to crop up in any AI discussion. However, moving into 2020 it’s likely we’ll begin to appreciate AI for how it can enhance our work more than we fear it making us redundant. AI will change us definitely, but it won’t replace us. Earlier this year, SAS hosted a Digital Challenge at its London offices for students from various universities, where they were tasked with applying data analytics to solve a business problem for an imaginary bicycle insurer. We also took the opportunity to get the views of some of the lecturers that also attended, to see what they were expecting from AI. Mark Lycett, Professor of Information Management at Royal Holloway, University of London, said: ‘AI is certainly replacing repetitive and routine tasks, which is not necessarily a bad thing, but even in the field of AI, lots of the current skills in play remain human ones. ‘AI is pushing at some of these human skills but we’re a long way off where it will replace human intelligence. Machine learning, for example, is nearly always supervised and it’s about doing a very specific task very well.’ AI solutions still lack the emotional and contextual intelligence needed to be given free rein in decision-making. When faced with the simple reality of imperfect data sets, it’s not always guaranteed an AI will make the best, or even a fair decision. It depends on the quality of the analytical model and algorithms that support AI. Into next year and beyond, there will always be a human behind the machine to review its decisions. Read More Here Article Credit: ITProPortal Share this: Tweet Pin It Related Posts Top 8 Advantages of Digital Core Banking Systems Microsoft Dynamics GP Tips and Tricks – Updating Account Categories Microsoft Dynamics Business Central: Creating Custom Word Reports About The Author alex.chau@getreach.hk
