Human-AI Integration: Reliable Decision Making for Transport

There has been a major shift in the use of AI across sectors and companies. But the process of embedding AI is complex and time-consuming, especially in heavy-asset industries like rail and aerospace. Amygda’s first of its kind flexible and reusable AI model for the transport industry that can be applied to any equipment and any use case, tackling the major challenges of embedding AI across the industry and reaping the benefits. This means that we can monitor a whole fleet to identify any issues that may arise and provide smart insights, improving efficiency, reducing delays and saving costs.?

The problem

The current approach to building AI solutions involves analysing well-annotated historical data to create specific features for a particular use case. This results in custom solutions being built for every part or system on a train, aircraft, or helicopter that is fitted with a sensor for data collection. It takes a minimum of 6 months to build those customised solutions. Furthermore, there is a mistrust of AI solutions for fleet services, because the AI has not matured enough and does not offer interpretability to those using it.

Amygda’s solution

Amygda's time series modelling approach provides flexible and reusable AI solutions for multiple use cases across an enterprise's whole data domain. This means fleet owners and operators do not have to wait for large amounts of data to be annotated in order for them to start seeing returns on their investment in AI.

Amygda's time series foundation models can be used for multiple use cases, including smart maintenance, route optimisation and equipment life forecasting, and the time it takes to implement a model for a new use case has been reduced from months to days.?

The future of work in transport involves the seamless integration of human and AI efforts. The success of this collaboration relies upon the ability of AI to provide transparent and reliable decision-making processes. At Amygda, solutions are built to not only provide an interpretable output but also deliver insights into the factors and reasoning behind the decision making process.?

Now is the perfect time for the transport industry to look to AI and explore how this new technology can be used to revolutionise efficiency and reliability, sustainability, and the customer experience.?

"We are at a pivotal moment when cross industry developments in AI can finally be effectively leveraged in the very traditional mobility domains where the application has been slow, painful and impractical. It requires a whole new way of thinking and Amygda's reusable, flexible and explainable AI changes how we deliver the promise of AI in the transport industry. The shift has already begun and Amygda's leading the way!"

Shaheryar Khan, Co-Founder and AI Lead, Amygda

About Amygda

Amygda is an AI/ML start-up for MaintOps in the rail and aerospace sectors. Amygda’s proprietary, ML-based smart maintenance stack allows fleet owners and operators to uncover risk and obtain actionable insights, helping save billions in reactive repair costs, improve risk management and prevent incidents.?

Learn more and download our White Paper detailing our novel approach.