Between 2018 and 2019, organizations that have deployed artificial intelligence (AI) grew from 4% to 14%, according to Gartner's 2019 CIO Agenda survey. AI is reaching organizations in many different ways compared with a few years ago, when there was no alternative to building your own solutions with machine learning (ML). AutoML and intelligent applications have the greatest momentum, while other approaches are also popular -- namely, AI platform as a service or AI cloud services. Conversational AI remains at the top of corporate agendas spurred by the worldwide success of Amazon Alexa, Google Assistant and others. Meanwhile, new technologies continue to emerge such as augmented intelligence, edge AI, data labelling and explainable AI.
The artificial intelligence (AI) revolution is beginning to pay off: By 2021, AI augmentation will create $2.9 trillion in business value, and 6.2 billion hours of worker productivity globally, according to a Gartner report released Monday. Gartner defined AI augmentation as a partnership model of AI and humans working together to improve cognitive performance, including learning and decision-making. "Augmented intelligence is all about people taking advantage of AI," Svetlana Sicular, research vice president at Gartner, said in a press release. "As AI technology evolves, the combined human and AI capabilities that augmented intelligence allows will deliver the greatest benefits to enterprises." By 2020, Gartner predicts that decision support/augmentation will be the largest type of AI in terms of the greatest business value add and the fewest barriers to adoption, followed by agents, smart products, and decision automation.
IT organizations are adjusting their plans about how and when to implement artificial intelligence and machine learning initiatives. Moving into production is taking longer than IT leaders may have expected. CIOs have identified artificial intelligence and machine learning as the number one way to achieve "game-changing transformation." That's according to Gartner research VP Svetlana Sicular, who provided a perspective on where the industry is right now in terms of implementation, where we are going, and how soon we might be getting there. Sicular offered her take during a session, The Future of Data Science, Machine Learning, and AI, during the recent Gartner Data and Analytics Summit in Orlando, Florida.
Artificial Intelligence technologies might well replace humans in the workplace entirely someday. But at least for the foreseeable future, businesses will derive far more value using AI to augment and enhance existing capabilities than to automate away human jobs. Analyst firm Gartner predicted in a recent report that by 2021 organizations worldwide will create $2.9 trillion of business value and some 6.2 billion hours of worker productivity by harnessing AI to support decision-making, improve efficiencies and to enable new applications. Far from replacing jobs, companies will use AI in conjunction with humans to create more business value, says Svetlana Sicular, research vice president at Gartner. "There are many themes about AI taking away jobs," Sicular says.
Although science fiction may depict AI robots as the bad guys, some tech giants now employ them for security. Companies like Microsoft and Uber use Knightscope K5 robots to patrol parking lots and large outdoor areas to predict and prevent crime. The robots can read license plates, report suspicious activity and collect data to report to their owners. These AI-driven robots are just one example of "autonomous things," one of the Gartner Top 10 strategic technologies for 2019 with the potential to drive significant disruption and deliver opportunity over the next five years. "The future will be characterized by smart devices delivering increasingly insightful digital services everywhere," said David Cearley, Gartner vice president and Fellow, at Gartner 2018 Symposium/ITxpo in Orlando, Florida.