"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."
Dr. Pratt’s book Link: How Decision Intelligence Connects Data, Actions, and Outcomes for a Better World points out that most businesses review basic numbers, then make tactical and strategic decisions. Most of the time, the review is based on historical or current numbers, and the task of thinking about how decisions will interact with the future is left as an exercise that happens inside the decision makers’ heads. We can do much better.
If we work backwards from business outcomes using a decision intelligence approach, we not only can integrate data, AI, and human expertise at multiple points in the decision process, we create a vehicle for exploring multiple futures and bringing forward simulation into the boardroom.