In today's fast-paced business landscape, turning raw data into actionable insights is crucial for success. Our comprehensive data analytics solutions empower organizations to harness the full potential of their data, driving informed decisions, optimizing operations, and staying ahead of the competition.
We provide a robust suite of data analytics tools designed to address the diverse needs of your organization. From data preparation to advanced modeling and real-time visualization, our solutions offer seamless integration and unparalleled power.
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Training is key to effectively using and applying methods and tools in your company.
Our experienced instructors can provide courses in person at your premises, in our training centre, or online in a virtual classroom.
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EnginSoft, within its extensive portfolio of training courses, offers a theoretical and practical course on the creation of low computational impact mathematical-statistical models based on Reduced Order Modeling (ROM) methodologies. The use of open source technologies, such as the Python programming language, allows for broad usability in all interested companies.
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training courses
Artificial Intelligence applied to design, modeling and management of laboratory data, fundamental for project development, has clearly demonstrated significant and concrete advantages. These translate into both a reduction in calculation times and a clearer understanding of the phenomena detected by laboratory tests during the product design and development phases. The "Design and data analysis using AI" catalog offers a complete and advanced training path to develop fundamental skills in the field of design and data analysis, as well as in the creation of simplified numerical models using advanced Artificial Intelligence techniques.
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The course “DOE Design & Data Analysis,” structured in 6 modules over 3 days, is aimed at technicians who wish to acquire high competence in both the design of experiments to be performed (in the laboratory or with numerical analyses) and the interpretation of the data obtained from them.
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A selection of case studies of our expertise.
CASE STUDY
The ultimate goal of the study was to optimize the Drift Chamber’s performance in terms of stiffness, strength and weight o be mounted on the Mu2e particle detector at FermiLAB in Chicago
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CASE STUDY
This technical case study explains the application of a two-step methodology using the MATLAB and Adam algorithms in the modeFRONTIER software platform.
optimization modefrontier automotive
CASE STUDY
Further reduction of the heat loss compared to the best design of the NSGA-II first phase design optimization: a further 4% gained
cfd biomechanics ansys modefrontier optimization
CASE STUDY
This article discusses a realistic multi-objective parameter optimization study of a highly athletic one-legged robot, called Skippy, in which both the parameters of the mechanism and the parameters of its optimal behaviors were sought.
optimization modefrontier biomechanics
CASE STUDY
Optimization tools, and specifically response surface methods (RSM), can be adapted very well in the design process to provide information around the design of a compressor stage. This article will cover two of the possible optimization uses: the search of optimum performance and data generation.
modefrontier optimization mechanics
CASE STUDY
The aerospace industry is embracing a cutting-edge workflow that combines virtual reality (VR), reduced order models (ROMs), and mesh morphing to revolutionize aerodynamic design. Developed through a collaboration between the University of Rome Tor Vergata and RBF Morph, this approach allows engineers to explore and adjust designs in real time within an immersive 3D VR environment
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