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.


Gartner: Top 10 strategic technology trends for 2020

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Hyperautomation is the combination of multiple machine-learning (ML), packaged-software and automation tools to deliver work. Hyperautomation refers not only to the breadth of tools available, but also to all the steps of automation itself (discover, analyze, design, automate, measure, monitor and reassess), Cearly said. Understanding the range of automation mechanisms, how they relate to one another and how they can be combined and coordinated is a major focus for hyperautomation. Hyperautomation requires a combination of tools to help support replicating pieces of where the human is involved in a task. Through 2028, the user experience will undergo a significant shift in how users perceive the digital world and how they interact with it.