AI projects are on the rise and will double within the next year according to a recent Gartner survey -- improved customer experience and task automation are key drivers of this growth. Currently, organisations working with AI or machine learning have, on average, four AI projects in place. And, of all respondents, 59% said that they have already AI deployed today. "We see a substantial acceleration in AI adoption this year," said Jim Hare, research vice president at Gartner. "The rising number of AI projects means that organisations may need to reorganise internally to make sure that AI projects are properly staffed and funded. It is a best practice to establish an AI Centre of Excellence to distribute skills, obtain funding, set priorities and share best practices in the best possible way."
Organisations that are working with artificial intelligence (AI) or machine learning (ML) have, on average, four projects utilising these technologies in place, according to a recent survey by Gartner. The survey finds 59 per cent of respondents have deployed AI. These respondents expect to add six more projects in the next 12 months, and another 15 within the next three years. This means that in 2022, those organisations expect to have an average of 35 AI or ML projects in place, says Gartner, in its AI and ML Development Strategies study . The analyst firm says the study is based on the results of a survey it conducted in December 2018 with 106 Gartner Research Circle members.
Artificial intelligence (AI) and machine learning adoption continue to explode across the enterprise, as organizations plan to double the number of AI projects they have in place within the next year, according to Gartner's Survey Analysis: AI and ML Development Strategies, Motivators and Adoption Challenges, released Monday. Of the 106 IT and business professionals surveyed, 59% said they have deployed AI already, Gartner found. Organizations currently working with AI or machine learning have an average of four AI projects currently in place, Gartner found. Organizations expect to add six more AI and machine learning initiatives to their slates over the next year, and another 15 within the next three years, according to the survey. In other words, by 2022, organizations plan to have an average of 35 AI or machine learning projects in place.
Gartner has said that chatbots and virtual assistants are between two and five years away from mainstream adoption, while speech recognition will reach that point in the next two years. The latest Hype Cycle - Gartner's visual tool for showing how close developing technologies are to mainstream adoption - puts chatbots at the early innovation trigger stage, while virtual personal assistants have passed the peak of inflated expectations and are on their way down to the trough of disillusionment. Despite the gap between them on the Hype Cycle, Gartner forecasts that both chatbots and virtual assistants will reach the mainstream at a roughly similar time, shortly after speech recognition - which they add value to. "The effects of speech recognition can be seen on a daily basis," said analyst Matthew Cain. Speech-to-text applications have proliferated due to the adoption of chatbots and virtual personal assistants (VPAs) by businesses, and consumer adoption of devices with speech interactions including smartphones, gaming consoles and specifically, VPA speakers."
Organizations that are working with artificial intelligence (AI) or machine learning (ML) have, on average, four AI/ML projects in place, according to a recent survey by Gartner, Inc. Of all respondents, 59% said that they have AI deployed today. The Gartner "AI and ML Development Strategies" study was conducted via an online survey in December 2018 with 106 Gartner Research Circle Members – a Gartner-managed panel composed of IT and IT/business professionals. Participants were required to be knowledgeable about the business and technology aspects of ML or AI either currently deployed or in planning at their organizations. "We see a substantial acceleration in AI adoption this year," said Jim Hare, research vice president at Gartner.