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For the second straight year, Deloitte surveyed executives in the US knowledgeable about cognitive technologies and artificial intelligence,1 representing companies that are testing and implementing them today. We found that these early adopters2 remain bullish on cognitive technologies' value. As in last year's survey, the level of support for AI is truly extraordinary. These findings illustrate that cognitive technologies hold enticing promise, some of which is being fulfilled today. However, AI technologies may deliver their best returns when companies balance excitement over their potential with the ability to execute. To obtain a cross-industry view of how organizations are adopting and benefiting from cognitive computing/AI, Deloitte surveyed 1,100 IT and line-of-business executives from US-based companies in Q3 2018. All respondents were required to be knowledgeable about their company's use of cognitive technologies/artificial intelligence, and 90 percent have direct involvement with their company's AI strategy, spending, implementation, and/or decision-making. The respondents represent 10 industries, with 17 percent coming from the technology industry. Fifty-four percent are line-of-business executives, with the rest IT executives. Sixty-four percent are C-level executives--including CEOs, presidents, and owners (30 percent), along with CIOs and CTOs (27 percent)--and 36 percent are executives below the C-level.3 A year later, and the thrill isn't gone. In Deloitte's 2017 cognitive survey, we were struck by early adopters' enthusiasm for cognitive technologies.4 That excitement owed much to the returns they said cognitive technologies were generating: 83 percent stated they were seeing either "moderate" or "substantial" benefits.

Some major industries could soon be shaken up by a new development in artificial intelligence-- the technology's increasing portability. Chip manufacturers are making processors specifically for machine learning and related AI features, noted Deloitte analysts David Schatsky, Jonathan Camhi, and Aniket Dongre in a new report. In many cases, those chips are being designed to consume minimal power, making it possible for them to be used in small, portable devices. Meanwhile, AI software developers are designing new algorithms that can be run directly on such chips without ever needing to connect to computers in the cloud. The result is that we are about to enter an era that the analysts dubbed "pervasive intelligence," filled with devices and sensors that have AI technologies embedded within them.

Accenture ACN, 0.40% has invested in and formed a strategic alliance with Quantexa, a leading data analytics firm that provides technology solutions to uncover new intelligence. The minority investment made by Accenture Ventures will help Quantexa accelerate the development of its AI-powered entity resolution and network analytics technology working with Accenture Applied Intelligence. The new collaboration will help clients uncover new actionable insights across multiple industry use cases including fighting financial crime. As part of the alliance agreement, Accenture plans to build new capabilities that combine its technology and risk expertise with Quantexa's network analytics platform. The collaboration aims to develop multiple AI-enabled solutions addressing business challenges in areas including anti-money laundering, credit risk and customer insight.

Businesses that combine the capabilities of machines and humans together spur innovation, creating job openings such as artificial intelligence (AI) interaction designer, AI innovation strategist, AI personality trainer, and AI safety engineer. These jobs belong to the "missing middle," opportunities for organizations to bring people and machines together, said Paul Daugherty, Accenture's chief technology and innovation officer, during a talk at the Evanston campus's Kellogg Global Hub on October 30. More than 300 students, faculty, and staff listened to the author of the new book, Human Machine: Reimagining Work in the Age of AI. "We're at a point where it's really important to rethink our organizations and rethink the way we do business," Daugherty said. "We have the potential to really be entering an era of increased humanity and increased human potential, and that's why this is an especially important thing to get right as we think about it." Currently, businesses utilizing AI often evaluate how humans can help machines or how machines can help humans work, but Daugherty encourages organizations to think about how to embrace collaboration between humans and machines, rather than viewing them in opposition.

Business-to-consumer (B2C) businesses have made it a priority to incorporate machine learning into customer-facing functions, integrating it into sales and marketing. For business-to-business (B2B) companies, however, translating data into actionable marketing strategies can be a more difficult proposition. Selling to organizations invariably requires embarking on a much longer and more complex journey, culminating in an order of much higher value than in the consumer realm. With hundreds of thousands, if not millions, of dollars at stake, a misguided marketing investment could lead to financial losses. "The availability of data and the importance of having the focus on the full customer journey is coming a little later to the B2B world," says Laura Beaudin, a partner at Bain & Co. "A lot of expectations in terms of customers manifested themselves in the consumer world before they brought those expectations to their business-purchasing world."

Artificial intelligence (AI) may sound like science fiction, but it is real, and becoming increasingly important to companies in every sector. The field of artificial intelligence has produced a wide variety of "cognitive technologies" that simulate human reasoning and perceptual skills, giving businesses entirely new capabilities and enabling organizations to break prevailing tradeoffs between speed, cost, and quality. Aimed at a general business audience, this course demystifies artificial intelligence, provides an overview of a wide range of cognitive technologies, and offers a framework to help you understand their business implications. Some experts have called artificial intelligence "more important than anything since the industrial revolution." That makes this course essential for professionals working in business, operations, strategy, IT, and other disciplines.

If there's one big thing that might thwart companies' headlong rush to adopt artificial intelligence for their businesses, it's data. AI generally requires lots of data. But it needs to be the right kind of data, in very particular kinds of formats. And it often needs it to be "clean," including only the kind of information it needs and none of what it doesn't. "The biggest challenge most organizations face when they start thinking about AI is their data," said Paul Daugherty, the chief technology and innovation officer of consulting firm Accenture, in an interview earlier this month.

Emerton, a consulting firm with offices in Paris, New York and Dubai, has launched Emerton Data, a new arm dedicated to helping clients embrace emerging technologies that are set to disrupt their strategies and operating models. Aimé Lachapelle, who is based in France, has been brought on board to lead the new offering. As global consulting firms bid to capitalise on a booming market to mine vast amounts of data to help shape strategy, Emerton has launched a new service to meet client requests for leveraging their data gluts. Emerton Data will serve clients globally, offering data analytics and artificial intelligence advice to businesses around the world. Emerton Data will be steered from Paris, where the competence hub is based.

For the second straight year, Deloitte surveyed executives knowledgeable about cognitive technologies and artificial intelligence,1 representing companies that are testing and implementing them today. We found that these early adopters2 remain bullish on cognitive technologies' value. As in last year's survey, the level of support for AI is truly extraordinary. These findings illustrate that cognitive technologies hold enticing promise, some of which is being fulfilled today. However, AI technologies may deliver their best returns when companies balance excitement over their potential with the ability to execute. To obtain a cross-industry view of how organizations are adopting and benefiting from cognitive computing/AI, Deloitte surveyed 1,100 IT and line-of-business executives from US-based companies in Q3 2018. All respondents were required to be knowledgeable about their company's use of cognitive technologies/artificial intelligence, and 90 percent have direct involvement with their company's AI strategy, spending, implementation, and/or decision-making. The respondents represent 10 industries, with 17 percent coming from the technology industry. Fifty-four percent are line-of-business executives, with the rest IT executives. Sixty-four percent are C-level executives--including CEOs, presidents, and owners (30 percent), along with CIOs and CTOs (27 percent)--and 36 percent are executives below the C-level.3 A year later, and the thrill isn't gone. In Deloitte's 2017 cognitive survey, we were struck by early adopters' enthusiasm for cognitive technologies.4 That excitement owed much to the returns they said cognitive technologies were generating: 83 percent stated they were seeing either "moderate" or "substantial" benefits.