AI Enablement
KCI has over 35 years of AI experience starting in the late 1980’s with Expert Systems, moving to Neural Nets in the 1990’s, Semantic Analytics in the 2000’s useful for analyzing rapidly growing volume of digital twins, Chatbots in the 2010’s and finally to Gen AI in the 2020’s particularly for business analysis research.
Our focus has been on directed use of AI for 2 critical value management purposes for an AI enabled organization:
- Developing value point solutions such as positioning AI in best spots of a process or workflow driving concepts of hyper automation.
- Using AI as a strategic transformative driver to leverage current digital transformation in data driven organizations.
KCI offers professional education internationally, with specific tools that enable managers and analysts to rapidly deploy the latest in AI technology for increased value management.
Organizations need a basic and core set of analytics that they can apply to a variety of problems and opportunities in an organization. Along with a core set of analytics, a rational and realistic plan should be in place to realize the value and benefits from the application of analytics.
What AI should we use and how?
When and Where should we apply AI enablement?
What AI should we use and how?
When and Where should we apply AI enablement?
Developing an AI roadmap is the solution to AI enablement. The roadmap should include the following considerations:
The Strategic Imperative of AI - The Road to Digital Leadership AI Transformation[PDF Download]
For more on KCI AI offerings check out our course section in ‘The Emerging World of AI Business Analysis’ located in the New Horizons in Business Analysis section.