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General Information

info@filosoft.it

Customer Support

customer@filosoft.it

Office Address

Via Scuderlando 129 - Verona - IT

Main Topics

Project objectives that are aided by the correct application of artificial intelligence

Business Growth

The organic growth of the business is closely related to the deep understanding of its process indicators and their continuous monitoring, filtering, enrichment.

Sustainability

In which the exploitation of resources, the direction of investments, the orientation of technological development, are all in harmony to meet human needs and aspirations.

Performance

Individual performance are directly related to organizational performance, whereas contextual performances are value-based. Both are measurable.

Organization

As most organizations operate through a mix of formal and informal mechanisms, organization science worker have paid attention to the type of interplay between formal and informal organizations. (Cao Zhi)

Strategy

(Science and practice) have developed models and frameworks to assist in strategic decision in contexts of competitive dynamics. (Ghemawat, Pankaj). Today all the frameworks are data driven.

Innovation index

Innovation is commonly defined as a discontinuity created by "the introduction of new goods, ... new methods of production, ... the opening of new markets, ... the conquest of new sources of supply" (Schumpeter, Joseph A.)

Our Services

These are the services we provide:

Consulting

Consulting
Feasibility of Artificial Intelligence applications

Analysis on where and how artificial intelligence would be a viable solution that could speed up the production time or increase the product value.

Training

Training
Artificial Intelligence and Machine Learning

Training of IT companies and developers on core and technical technologies with the scope of innovating their business strategies and technologies.

Development

Development
Artificial Intelligence projects

Solving problems with production of euristics based ai, and use of many different complexities of Machine Learning algorithms.