During the pandemic, for example, AI came to the rescue. Chatbots helped answer the flood of pandemic-related questions, computer vision helped maintain social distancing and machine learning (ML) models were indispensable for modelling the effects of reopening economies.
“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. 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.
Five 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.
Democratisation of Artificial Intelligence
The democratisation of AI means that AI is no longer the exclusive subject matter of experts. Now, organisations want to reach the next level by delivering AI value to more people. In the enterprise, the target for democratisation of AI may include customers, business partners, business executives, salespeople, assembly line workers, application developers and IT operations professionals.