Author

Alessandro Viola

Product Marketing Specialist
ESTECO

Alessandro Viola

Product Marketing Specialist
ESTECO

Alessandro Viola is a Product Marketing Specialist at ESTECO. He graduated with a Master of Science in Business Administration and Strategic Control from the University of Trieste. Prior to joining ESTECO in 2016, he worked for a consulting company that assists companies to access business opportunities in the Central and Eastern European markets. He also was part of a start-up founding team, based in Brussels (Belgium), focused on providing an innovative e-learning platform and training for European project stakeholders.

ESTECO Users' Meeting North America 2023
Blog post

Zero lead-time was one of the key topics at the 8th annual ESTECO Users’ Meeting North America held in Plymouth, MI in October.

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VOLTA Service Task
Blog post

VOLTA Services bridge the gap between simulation workflows and business processes, enabling a wider audience of engineers to seamlessly perform multidisciplinary design optimization (MDO) tasks

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ESTECO Technology spotlight speakers
Blog post

How ESTECO VOLTA and modeFRONTIER software solutions support organizations to embrace the necessary digitalization shift in product development.

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Blog ESTECO pyRSMcover
Blog post

Python RSM bridge in modeFRONTIER is a very effective way of dealing with complexity, at any level, when creating RSM models.

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Analyze design space data easily with Multivariate Clustering techniques for efficient decision making
Blog post

When dealing with large amounts of data, analyzing them is a challenging task. Clustering techniques come in handy for such data analyses.

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AISIN Corporation powertrain
Blog post

We met with Manabu Kawaji from the Component Development Group at AISIN Corporation. He shares his experience in using our modeFRONTIER design optimization software to perfect electric powertrain components.

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Machine Learning and artificial intelligence represented in the form of a women head facing a data flow.
Blog post

Machine Learning accelerates the simulation design process

Written by Marco Turchetto, Alessandro Viola

April 20, 2021 · 5 min read

The idea behind Machine Learning is that systems can learn from data, identify patterns on their own and make decisions with minimal human intervention. The same applies to engineering and CAE-based product design.

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3D illustration of complex data flow behind sensitivity analysis and design space exploration
Blog post

Engineering problems can involve a large number of design variables. But not all of the inputs have an equal effect on the output. Considering them all can dramatically reduce the efficiency of Design of Experiments (DOE) or optimization studies.

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Engineers can integrate python in their engineering workflow and combine it with design optimization techniques (Illustration)
Blog post

Nowadays, deep expertise in scripting languages and programming became a valuable skill set for engineers and R&D professionals in general to perform process automation, data analysis, and visualization.

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