General AI immaturity can mean decision intelligence seems too ambitious and distant. However, the more advanced organizations from which less mature organizations learn best practices are embracing decision intelligence more fully. Common challenges faced when using DI include the unpredictability of the sustainability of organizations’ decision models, which are based on the quality of transparency. Autonomous decision models require greater scrutiny at design time to avoid negative outcomes and higher expenses. Organizations need decision intelligence — however, their propensity to invest depends on the level of regulation, risk control and analytical maturity. Not until insurers place a greater focus on employee engagement and decision accuracy will the investment in decision intelligence rise.
Mass: High
The combination of AI techniques and the confluence of several technology clusters around composite AI, smart business process, decision management and advanced personalization platforms are creating a new market around decision systems platforms supporting the DI discipline. The technology that underpins DI includes many data and analytics technologies. However, the discipline focuses specifically on driving business value from supporting and improving results from strategic (fewer, high risk and broad in scope) and operational (numerous, individually low risk and narrow in scope) decisions. The mass is very high because, although these capabilities will be brought to market by multiple different providers, the decision intelligence trend is very broad in impact. Advancements, however, in industry niche solutions may accelerate use of decision intelligence in insurance. Instead of opting for horizontal solutions, niche industry vendors such as those offering underwriting workstations or claims management are slowly enhancing their solutions to offer more predictive analytics and some AI. For example, fraud vendors offer fraud scoring with combined litigation management, which offers enhanced decision making for fraud special investigators. CRM vendors are adding AI to their customer servicing solutions that will script the CSR through discussions using a variety of customer segmentation and next best action models. The more that industry solutions are enhanced with decision intelligence, the easier it will be to bring it to buyers and mid-market buyers.
Gartner, Inc. | G00786204
Page 19 of 48
This research note is restricted to the personal use of abhishek.sharma@fractal.ai.
Made with FlippingBook - PDF hosting