Why should we choose the AI path for the future of APM? Because the system of the future is going to be proactive and not just reactive. This could be possible through a more predictive and connected system that learns from its past and. Any industrial setup of the future would endeavor to achieve the following advantages that are possible through the integration of an AI tool:
WHERE CAN IT GO WRONG?
There are two essential checkpoints which must be considered in this regard:
- Error Handling: Yes, there will be errors. A self-learning AI platform may take a little longer than expected to acclimatize and mature in a particular environment. The entire system should preferably make suitable back-doors available for human monitoring and intervention in its nascent stages. These interventions serve as a benchmark for future decisions by the system, thereby reducing the dependency on humans as time goes by.
- Building and keeping the trust (of users): The system is of utility if and only if it is capable of establishing a trust factor with its users. When dealing with critical data about enterprise assets, it becomes imperative to ensure the high credibility of the system. Any possible instance which might result in an irreparable error is enough to break all trust in the system, thereby rendering it useless.
“Everything we love about civilization is a product of intelligence, so amplifying our human intelligence with artificial intelligence has the potential of helping civilization flourish like never before – as long as we manage to keep the technology beneficial.”