Organizations are hastily adopting AI into their operating processes to increase efficiency, raise profits, and stay competitive. Among the hustle & bustle, the effective management of the AI projects is neglected, and teams are left to figure out retroactively how a completed AI project fits into the Business’s long-term goals.
AI Project Management gets challenging when executed under Double Umbrella conditions. It means that there are two overarching & overlapping goals driving a team. This management case is true when AI projects are undertaken by Reliability Programs.
Does the new ‘Reliability AI Project’ follow ‘Reliability Program’ or ‘Organization AI Program’ for guidance?
Organization AI Program is a company-wide initiative taken to improve the performance of business areas where AI can add value. On the other hand, Reliability Programs are specific initiatives taken to improve the reliability of the equipment (Availability, Cost) or service (Efficiency, Production output, Serviceability).
Reliability AI Projects are formed when a need in the reliability program is identified as a use case for AI. It sits at the intersection of the Reliability Program and Organization AI Program and takes directives from both these programs for guidance. This overlap, resembling a double umbrella, shows that the goals must be aligned to avoid conflict in resources, timelines, or tools used. Extending the analogy: If the project stays in the middle, holding the shaft, it stays sheltered. If it veers off, then it might get drenched.
There are consequences when this balance is not obtained. When a Reliability AI Project does not adhere to the IT protocols, security features, data formats, and tool compatibility as defined by the Organization AI program it creates a silo where its value stays alone and dries up quickly. The opposite case of blanketing AI for all the equipment without considering individual reliability leads to squandering. A Reliability AI Project designed with both the program goals as guardrails will lead to quicker ROI realization and set up the solution to scale up across the organization. Owtrun follows this framework in offering Predictive Maintenance solutions. Get started on your Reliability AI Project here.
Quite meaningful and insightful article. It seems integrating the Reliability AI project within the scope of the organization AI would be best practices to align business goals. I concur with the author’s perspective.
Thanks, Lennox. Good luck in adopting AI for Reliability projects!
This really reflects future of maintenance and reliability with optimized cost and time. ML will help reliability engineer to improve prediction and also to achieve organisation business goal.
Totally agree, Gaurav. Thank you for sharing your thoughts.