Articles

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Unleash the true potential of your data!

The automotive industries have a huge data collection pertinent to vehicle design, testing and field failures. Most of the data are scattered in heterogenous systems as flat files and dump files. The data interpretations and understanding of vehicles are mostly dependent on human knowledge gained over years of experience that could lead to errors and have no guarantee of accuracy. However, what if the automotive industry were equipped with big data management system and smart AI-based analytics that holds the ability to sift through countless relevant data and immediately produce the needed accurate responses instantaneous?

EinNel MDOX offers the solution that not only makes it easier to store & manage the big data, along with making smart design and strategic decisions but also reduces the product development cost and time. The robust data engineering and AI & ML solutions in the MDOX platform help the user to retrieve relevant data and identify the patterns, connexions, and anomalies to present the significant insights and predictions, required for making smart decisions.

This AI-based intelligence empowers decision-makers of the automotive industry in vehicle design, testing and service domains  with reliable predictive insights to make smarter and faster decisions. When AI-based data-driven solution is used as an operational imperative, it will create an enduring impact due to its ability to process huge and complex data and help engineers in the process of design and development. EinNel MDOX holds the potential to revolutionize the future of the automotive industry by enabling the engineers to overcome several design and development obstacles.

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Shaping the Future Design with Data-Driven Simulation

As Steve Jobs aptly quipped, “Let’s go invent tomorrow instead of worrying about what happened yesterday”, we at EinNel have conceived an idea, we believe, will bring about a significantly positive change of paradigm in the automobile industries. Even though the traditional approach of simulation-driven design has adequately upheld the industry for decades, the current need and the rising demands in the market have called for new and enhanced measures. Thus, the concept of data-driven design & simulation was birthed, with the ultimate-aim to provide engineers a better solution at a much faster rate and at a mitigated development cost. EinNel MDOX is being developed to provide a universally accepted platform that offers highly accurate predictive analytics by combining the derived real-time and simulation data from numerous cases and samples, thereby making the process of designing and optimizing, both faster and easier. These acutely reliable analytics will enable the engineers to visualize the future design that are backed up by several proven test statics, more vividly and profoundly.

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