Mobius Logic uses complex AI to improve maintenance decision processes at the field, depot, and enterprise level by making sense of disparate data sources and predicting future maintenance needs. For example, using Microsoft Azure Cloud Technology, Mobius Logic’s experts can deploy AI for predictive maintenance where AI can emulate a subject matter expert determination of the health of the part, then inform the maintenance community on limitations and changes required. AI can even be used to develop maintenance troubleshooting paradigms, drastically enhancing organizational efficiency by providing predictability.
Making accurate predictions about supply and demand is vital for successfully running your organization. Using Microsoft Azure Cognitive Services, Mobius Logic uses algorithms to accurately predict future trends for goods and supplies, making sure organizations are ready to meet their customers’ needs.
MAKANA for Advanced Decision-Making:
Mobius Logic’s MAKANA is a cloud-based MLOps platform, built on Microsoft Azure, that makes it easy for data scientists and software application developers to implement DevOps for Machine Learning (ML) through comprehensive support for all phases of the ML life cycle.
MAKANA allows organizations to quickly realize the value of their ML models and retain that value over time, ensuring data scientists, business users and software development teams are collaborating effectively. As a SBIR-funded technology, MAKANA qualifies for sole source procurement.