AI/ML for Engineering : 2-Hr Assessment

From our long experience working with companies of all sizes, it is clear that most organisations do not get full value out of their data. In particular, engineering solutions have typically focussed on analytical techniques that model the physical phenomena of the system. In many cases however, more accurate, robust and scaleable predictions could be achieved by machine learning models that unpick the complex interactions between variables by interrogating historical data, rather than traditional physics-based methods.

Deep Blue AI was founded by academic researchers with domain expertise in energy, thermodynamics, fluid mechanics, heat transfer, structural mechanics, propulsion and turbomachinery. Through our original research contributions, we have a deep understanding of the underlying physics of engineering applications. Combined with our proficiency of machine learning algorithms, this is a powerful combination that could be leveraged to bring new capabilities to real-world engineering solutions.

Our free 2 hour assessment includes a preliminary discussion of your data, business use cases, and opportunities to deploy machine learning algorithms at scale. We also provide recommendations on possible improvements to your data collection and storage processes to optimise predictive performance.

At the conclusion of this exercise, we will provide recommendations on how your business requirements can be met using our ML algorithms by leveraging Azure and ML Studio to build scaleable, robust solutions.