Hype synonym12/27/2022 ![]() ![]() ![]() Responsible AI and AI governance also become a priority for AI on an industrial scale. Moreover, new entrants on this year’s Hype Cycle, such as generative AI, small data and composite AI, indicate that in addition to ML, organizations are considering multiple means of supporting decision making with AI. “ Responsible AI and AI governance also become a priority for AI on an industrial scale”įor example, decision intelligence indicates that companies want to use AI to make better decisions faster, such as selecting best treatment options for patients or accelerating discovery and prevention of anomalies and vulnerabilities. Having the C-suite in the driver’s seat accelerates AI adoption and investment in AI solutions. This industrialization aims at getting new adopters of AI on par with early adopters.Īccording to a recent Gartner survey, the C-suite is steering AI projects, with nearly 30% of projects directed by CEOs. The industrialization of AI platforms enables the reusability, scalability and safety of AI, which accelerates its adoption and growth. Engineering complements data science to deliver AI at scale, and AI developer and teaching kits represent the role on the Hype Cycle. Gartner foresees developers being the major force in AI.Įxplore the latest: 2021 Hype Cycle for Cloud Securityĭata science deals with discovery of the unknown, but engineering provides the stability, reliability and security of what science delivers. Along with data scientists and data engineers, developers could also form the future AI teams who put together AI solutions. “ Gartner foresees developers being the major force in AI”Īs AI reaches a larger set of employees and partners, it requires new enterprise roles to deliver it to a wider audience. In the enterprise, the target for democratization of AI may include customers, business partners, business executives, salespeople, assembly line workers, application developers and IT operations professionals. Now, organizations want to reach the next level by delivering AI value to more people. The democratization of AI means that AI is no longer the exclusive subject matter of experts. Learn more: About the Gartner Hype Cycle Methodology Democratization of Artificial Intelligence By that we mean that AI is starting to deliver on its potential and its benefits for businesses are becoming a reality,” says Svetlana Sicular, VP Analyst, Gartner.įive new entrants - small data, generative AI, composite AI, responsible AI and things as customers - make their debut on this year’s AI Hype Cycle, and two megatrends dominate this year’s AI landscape. “If AI as a general concept was positioned on this year’s Gartner Hype Cycle, it would be rolling off the Peak of Inflated Expectations. Chatbots helped answer the flood of pandemic-related questions, computer vision helped maintain social distancing and machine learning (ML) models were indispensable for modeling the effects of reopening economies. “ AI is starting to deliver on its potential and its benefits for businesses are becoming a reality”ĭuring the pandemic, for example, AI came to the rescue. Only 16% had temporarily suspended AI investments, and just 7% had decreased them. Explore the latest: 2021 Hype Cycle for AIĭespite the global impact of COVID-19, 47% of artificial intelligence (AI) investments were unchanged since the start of the pandemic and 30% of organizations actually planned to increase such investments, according to a Gartner poll. ![]()
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