The Innovating Edge has unveiled a novel methodology aimed at transforming the assembly of AI and generative AI (GAI) teams, promising to elevate project success rates while mitigating the high failure rates that have plagued the industry. With Gartner reporting a mere 15% success rate for AI and GAI projects over the past two years, this approach seeks to redefine industry standards by integrating the patented Innovation Strengths Preference Indicator® (ISPI™ EXE) into team selection processes.
This methodology diverges from traditional recruitment strategies by prioritizing Human Intelligence (HI) over conventional qualifications, a move that has already garnered trust from leading organizations such as NASA and Exxon over the past 15 years. The ISPI™ EXE's application extends beyond enhancing project outcomes; it also tackles workplace challenges like employee burnout and low morale, issues highlighted by the Upwork Research Institute.
By dissecting the components of top-performing teams through the ISPI™ EXE, The Innovating Edge offers a blueprint for replicating success across new and existing teams. This strategy not only promises to bolster financial metrics such as cost savings and revenue but also positions organizations at the vanguard of the AI and GAI revolution. The implications of this breakthrough are vast, with the potential to accelerate technological advancements and foster innovation across various sectors.
For further insights into the transformative potential of the ISPI™, an interview with Jerry Fisher, COO and Co-Founder of The Innovating Edge, sheds light on achieving tangible results from AI and GAI investments. As the demand for effective AI solutions grows, The Innovating Edge's focus on human-centric team assembly presents a viable pathway to overcoming the industry's longstanding challenges.
