Gartner hype cycle artificial intelligence

Those disciplines include decision management (including advanced nondeterministic techniques such as agent-based systems), decision support, continuous intelligence and process management and techniques such as descriptive, diagnostics and predictive analytics.РІР‚Сњ (*1)Р”В«rethenoux writes that РІР‚СљThe current hype around automated decision making and augmented intelligence fueled by the integration of artificial intelligence (AI) techniques in decision making, is pushing DI toward the Peak of Inflated Expectations. DI provides a framework that brings multiple traditional and advanced disciplines together to design, model, align, execute, monitor and tune decision models and processes.

According to Brethenoux, РІР‚СљDecision intelligence (DI) is a practical domain framing a wide range of decision-making techniques. In Smarter With Gartner, titled РІР‚СљTop Trends on the Gartner Hype Cycle for Artificial Intelligence, 2019РІР‚Сњ, РІР‚СљBetween 20, organizations that have deployed artificial intelligenceР’В (AI) grew from 4% to 14%, according to GartnerРІР‚в„ўs 2019 CIO Agenda survey.РІР‚Сњ (*2)Р”В®xponential Machines was included in an analysis of Decision Intelligence by Gartner Analyst Erick Brethenoux.

The companyРІР‚в„ўs enterprise-grade AI platform, Enso, allows for evidence-based decision making and automation of enterprise processes.Р”В®xponential Machines was included in GartnerРІР‚в„ўs 2019 Hype Cycle for Artificial Intelligence.(*1) Exponential Machines, now known as Exponential AI, is a leader in enterprise AI for digital transformation.

Gartner hype cycle artificial intelligence