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Artificial Intelligence for Business 2020

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H E A D L I N E A I E V E N T O F PA RT O F I N PA RT N E R S H I P W I T H ® L O N D O N W H E R E A I T R A N S F O R M S B U S I N E S S 2 - 3 S E P T E M B E R , 2 0 2 0 | T H E E x C e L C E N T R E HOURS OF CONTENT 500+ EXPERT SPEAKERS 200+ ATTENDEES 17000+ CxOs ATTENDEES 600+ ENTERPRISES REPRESENTED 5000+ SOLUTION PROVIDERS 200+ LONDON.THEAISUMMIT.COM FIND OUT MORE in the field, dubs 'the gorilla problem'. Namely, human beings will be outmoded by machines in the same way we evolved to dominate our gorilla kin. "Finding our place in that future isn't a decision that can be left in the hands of a few. Technologists, educators, psycholo- gists, policymakers and testing experts must put their heads together to consider how we measure human capital, improve human performance and ensure equity in a world where machine intelligence surpasses human capabilities." For the moment, though, narrow AI, which is programmed by humans to focus on a niche task, will have to suffice. The hype around AI has calmed recently, in part because business leaders have realised it is neither akin to the general AI of Blade Run- ner or Terminator nor a silver bullet. Narrow AI, however, is potent if pointed the right way; those who work out what direction to aim at will triumph. Besides, as Dr Iain Brown, head of data science at SAS in the UK and Ireland, posits: "The machines have already taken over, to some extent, and with little resistance." Our smartphones, smart speakers and driverless cars all rely on AI. "Self-learning machines are embedded in services or devices used by three quarters of global consum- ers," says Brown, "and algorithms choose what news we read and the entertainment we consume." Canny members of the C-suite are begin- ning to realise the true potential of nar- row AI. "General AI isn't a pipe dream, but Grounding sci-fi ambitions in reality Is "general" artificial intelligence still something service providers should be trying to achieve, or would their efforts be better spent on building more robust "narrow" AI systems? idley Scott's 1982 cult film Blade Runner, based on Philip K. Dick's science-fiction classic Do Androids Dream of Electric Sheep?, came of age five months ago: its dystopian futurescape was Los Angeles ablaze in November 2019. While some elements accurately hit today's world, now stricken by the corona- virus pandemic, the planet is dangerously warm and computers can be commanded by a human voice for instance, other pre- dictions fall short. High-collar, full-length trench coats are unfashionable, flying cars have failed to take off and, most pertinently, so-called 'general' artificial intelligence (AI) does not exist. Sci-fi is increasingly becoming sci-fact, admittedly, but a technology that can repli- cate a range of highly advanced human char- acteristics – the basic definition of general AI – does not walk among us, yet. Moreover, the so-called singularity, when machines achieve sentience and technological growth becomes uncontrollable and irreversible, is some distance away, most experts say. "Think of general AI as HAL from 2001: A Space Odyssey, or Skynet in the Terminator series," suggests Bernd Greifeneder, founder and chief technology officer of leading auto- mated-software organisation Dynatrace. "We're currently nowhere near that becom- ing a reality, with estimates ranging from it being five years to a century away. Some even believe we'll never see general AI step out of sci-fi and into the real world." Arguably that conclusion is good for the longevity of the human race, though not everyone agrees. "Unless humanity takes a wrong turn, general AI is likely to arrive around 2050, perhaps sooner," says David Wood, chair of London Futurists. "General AI, handled wisely, can enable humanity to enter a profound new era that I call 'sus- tainable superabundance', in which we can transcend many of the cruel limitations of the human condition that we have inherited from our evolutionary background." Wael Elrifai, global vice president of solu- tion engineering at Hitachi Vantara, pleads for greater caution. "When we achieve gen- eral AI, it will drastically transform our economy and society in ways we can't even predict," he says. "We'll be faced with what Dr Stuart Russell, a pre-eminent thinker Jon Axworthy Journalist, covering health, tech and science, he has written for T3, Wareable and The Ambient. Oliver Balch Sustainability, business and travel writer, he is the author of travelogues on South America, India and Wales. Danny Buckland Health journalist for national newspapers and magazines, he covers health innovation and tech. Katie Deighton Business reporter, she writes about the media and advertising industries as senior reporter for The Drum. Marianne Eloise Writer covering tech, wellness and pop culture for outlets including Dazed, The Guardian and Refinery 29. Marina Gerner Arts, philosophy and finance writer, contributing to 1843, The Times Literary Supplement and Standpoint. it is irrelevant," says leading futurist Tom Cheesewright. "Focusing on it as a busi- ness leader is like seeing the wheel for the first time and spending your time dreaming about a Tesla. Make use of the wheel." Indeed, according to Microsoft's Acceler- ating Competitive Advantage with AI report, published in October, businesses in the UK already using AI at scale are performing 11.5 per cent better than those who are not, up from 5 per cent in 2018. Further, the study calculates the number of UK companies with an AI strategy has more than doubled, from 11 per cent two years ago to 24 per cent in 2019. The report also finds that more than half of organisations in the UK (56 per cent) are using AI to some extent, including a rise of 11 per cent in machine-learning from the previous year. "Narrow AI is certainly a more rewarding prospect for businesses in the short term, as it has more specific applications and so can help to overcome the clearly defined challenges that exist today," says Greifeneder. "It's also easier to manage the risks and ethical impli- cations associated with it." As an example of granting too much autonomy to a machine, he points to Microsoft's infamous AI chatbot Tay, which began tweeting racist and inflam- matory remarks in March 2016, after just 24 hours of exposure to users on Twitter. And, like any tool, AI can be used for good or bad. "We don't need to wait for general AI to experience elements of AI utopia or dysto- pia," says Peter van der Putten, assistant pro- fessor of AI at Leiden University in the Neth- erlands and director of decisioning solutions for cloud software company Pegasystems. "AI is used successfully to understand the structure and function of COVID-19 and to mine COVID-19 research articles. But bias has been creeping into models to determine credit card limits, decide who needs to await a court case in jail or who gets selected for preventive care programmes." There may be justified concerns about algorithmic biases, how the associated technologies might develop and AI displac- ing human jobs. But it is critical for business leaders to understand what AI can achieve and it's certainly not for every organisation. "If you don't understand what you are trying to solve first, you are carrying a ham- mer looking for a nail and AI is going to be of no real use," says Nick Wise, chief executive of OceanMind, a not-for-profit organisation using AI to protect the world's fisheries. For now, the realm of sentient comput- ers seems a long way off. And if we humans are prudent, if or perhaps when general AI becomes a reality, man and machine will augment one another. As Brown concludes: "The future belongs to the cyborg: humans working hand in glove with AI, rather than the android alone." Distributed in Publishing manager Jack Bailey Digital content executive Francesca Cassidy Head of production Justyna O'Connell Design Sara Gelfgren Kellie Jerrard Harry Lewis-Irlam Celina Lucey Colm McDermott Samuele Motta Jack Woolrich Managing editor Benjamin Chiou Associate editor Peter Archer Published in association with Although this publication is funded through advertising and sponsorship, all editorial is without bias and sponsored features are clearly labelled. For an upcoming schedule, partnership inquiries or feedback, please call +44 (0)20 8616 7400 or e-mail info@raconteur.net. Raconteur is a leading publisher of special-interest content and research. Its pub- lications and articles cover a wide range of topics, including business, finance, sustainability, healthcare, lifestyle and technology. Raconteur special reports are published exclu- sively in The Times and The Sunday Times as well as online at raconteur.net. The information contained in this publication has been obtained from sources the Proprietors believe to be correct. However, no legal liability can be accepted for any errors. No part of this publication may be reproduced with- out the prior consent of the Publisher. © Raconteur Media ai-business-2020 @raconteur /raconteur.net @raconteur_london AI FOR BUSINESS S E C R E T F O R M U L A S C O R O N A V I R U S V I R T U A L I N S T A How companies are using AI to unlock vital knowledge hidden within their organisations AI can help firms mitigate the negative impacts of the biggest downturn in recent history An inside look into the weird world of virtual influencers, who are taking over Instagram feeds 03 04 08 raconteur.net Oliver Pickup R Contributors Microsoft 2019 better than those that are not, compared with... in 2018 Gartner 2019 TOP CHALLENGES TO AI/MACHINE-LE ARNING ADOP TION Global survey of chief information officers BUSINES SES IN THE UK THAT WERE USING AI AT SCALE IN 2019 WERE PERFORMING… Focusing on general AI as a leader is like seeing the wheel for the first time and spending your time dreaming about a Tesla. Make use of the wheel I N D E P E N D E N T P U B L I C A T I O N B Y 1 9/ 0 4 / 2 0 2 0 # 0 6 6 0 R A C O N T E U R . N E T G E N E R A L / N A R R O W A I Art director Joanna Bird Digital content executive Taryn Brickner Design director Tim Whitlock Skills of staff 56% Integration complexity 26% Governance issues or concerns 13% Understanding AI benefits and uses 42% Defining the strategy 25% Finding funding 12% Data scope or quality 34% Security or privacy concerns 20% Confusion over vendor capabilities 10% Finding use cases 26% Measuring the value 17% Risk of liabilities 6% 11.5% 5% Sam Haddad Writer specialising in travel, her work has been published in The Guardian, 1843 and The Times. Nick Easen Tech and business writer and broadcaster, producing content for BBC World News, CNN and Time. Ed Jefferson Journalist and creative technologist, he has written for The Guardian, New Statesman and CityMetric. Oliver Pickup Journalist specialising in technology, business and sport, and contributes to a wide range of publications.

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