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Gartner considers the following AI technologies to be on the rise and part of the Innovation Trigger phase of the AI Hype Cycle. AI Marketplaces, Reinforcement Learning, Decision Intelligence, AI Cloud Services, Data Labeling, and Annotation Services, and Knowledge Graphs are now showing signs of potential technology breakthroughs as evidence by early proof-of-concept stories. Technologies in the Innovation Trigger phase of the Hype Cycle often lack usable, scalable products with commercial viability not yet proven.
One way to view DI is as a technology that bridges the gap between Artificial Intelligence theory and practical enterprise AI applications. DI uses AI, data, human expertise, and other technologies to support organizations as they reason through complex cause-and-effect chains from policies and actions to business outcomes. DI connects AI and ML to ROI, KPIs, and business decisions.