AI Report Card for 1Q 2020
Source: COGNITIVE WORLD on FORBES
While AI is in its spring season and is sprouting up all over and the predictions for future revenues are pretty positive, I think it’s time to try and give AI an early grade in a number of areas. I’ve picked out my top 10 categories for grading AI and have assigned a grade. In order to understand the context of the grades, I have included a difficulty score and an expected time to maturity. This is my first cut at grading AI and I’m sure I will add to the dimensions and scale over time. Let’s examine the meaning of the grade categories listed below:
AI Report Card for 1Q 2020 CREATED BY JIM SINUR ON 1/17/2020
Focused Problems
AI has done well in scoped problems that are after a silo problem. This helps see clearly the results of AI even if it is a complex problem domain. Over time AI will increase its scope.
Embedded Everywhere
AI is often supporting a number of solutions and technology combinations through embedding itself. This brings an aura of intelligence to the solutions, so this is growing fast.
Hidden Complexity
AI is good at black box behavior by putting a buffer between the user/uses and the complexity of the problem it supports.
Analytically Oriented
AI is a bit about problem solving today rather than creation or judgement, but this is a less risky approach to establish a baseline of success.
Creatively/Judgement Oriented
Being able to create something or judge a situation trough iteration and inspection while including new sources of inspiration is something that AI is just starting to do.
Planning/Predictive Orientated
The ability to look forward and project future expected outcomes of even plan alternative scenarios is something that is just emerging in AI.
On the Edge
AI is just starting to be distributed and being put closer to where it is needed. Distributed, just in time intelligence will grow significantly over time.
Explainable
Can the application of A and it’s behavior be explained to humans or even other AI capabilities? This is a must to gather confidence going forward. AI is headed there, but it isn’t easy yet for the most part.
Autonomous
Giving AI the freedom level to act alone in an unsupervised fashion is somewhat new and will require goal orientation plus constraints via guardrails for proper governance.
Integrated/Cross Context Problems
AI that senses, orients, decides, and acts across multiple problems domains and contexts is coming. For now there a few examples that have been completely successful yet. Self-driving vehicles are headed there.
Net; Net:
AI has some growing to do before it will bloom fully. Without getting into singularity issues, I think the future of AI assisting and collaborating with organizations and individuals is quite bright. I will be looking forward to the next grading period.
Jim Sinur is an independent thought leader in applying Digital Business Platforms (DBP), Customer Experience/Journeys (CJM), Business Process Management (BPM), Automation (RPA), Low-code and Decision Management at the edge to business outcomes. His research and areas of personal experience focus on intelligent business processes, business modeling, business process management technologies, process collaboration for knowledge workers, process intelligence/optimization, AI applied to business policy/rule management, IoT and leveraging business applications in processes. Jim is also one of the authors of BPM: The Next Wave. His latest book is Digital Transformation. Innovate or Die Slowly. Jim is also a well know digital and traditional artist.