Top Trends on the Gartner Hype Cycle for Artificial Intelligence, 2019

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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 labeling and explainable AI.


Top Trends on the Gartner Hype Cycle for Artificial Intelligence, 2019

#artificialintelligence

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 labeling and explainable AI.


Top Trends on the Gartner Hype Cycle for Artificial Intelligence, 2019

#artificialintelligence

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.


Gartner: The Present and Future of Artificial Intelligence

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Artificial intelligence uses vast amounts of data and sophisticated probabilistic algorithms to offer "the intimacy of a small town in a big city scale," Gartner VP Svetlana Sicular said at the company's annual IT Symposium last week. But she said, the growth of AI applications in deployment was actually less this year than last year, with the total percentage of CIOs saying their company has deployed AI now at 19 percent, up from 14 percent last year. That's a nice increase, but it's far lower than the 23 percent of companies that thought they would newly roll out AI in 2019. She said, "something is stalling AI adoption." She noted that when asked what challenges they faced in adopting AI, the top concerns are the lack of skills on staff, the quality of the data they have available, and also understanding the real benefits and uses of AI.


Why AI will create $2.9T in business value by 2021

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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.