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"According to Gartner’s AI Hype Cycle report which urges companies to, 'pay early attention to innovations expected to hit mainstream adoption in two to five years, including composite AI, decision intelligence and edge AI.'
Despite the shift to a data-centric approach, AI models still need attention to ensure the outputs continue to help us to take better actions...
Decision intelligence and edge AI are both expected to reach mainstream adoption in two to five years and have transformational business benefits, according to Gartner. Innovations here include AI engineering, decision intelligence, operational AI systems, ModelOps, AI cloud services, smart robots, natural language processing (NLP), autonomous vehicles, intelligent applications and computer vision."
This article highlights the importance of both DI and ModelOps: they are complementary. DI is a methodology for finding the right models to support an actions to outcomes decision. ModelOps highlights the importance of decision model curation and governance.