Artificial Intelligence

Definition of the strategy,the objectives and metrics successful for the use of the AI for the company. Identification of appropriate use cases and Technical feasibility assessment.

Evaluation and selection of the technologies of AI most appropriate for the company’s needs, including machine learning algorithms, neural networks, natural language processing technologies, automation tools, AI platforms, etc.

Preparation of the data for processing with AI algorithms, including data cleaning, normalization, transformation, and data integration.

Design and development Of AI solutions tailored to the needs of the business. They may include developing machine learning algorithms, implementing natural language processing systems, developing prediction and classification models, and integrating AI solutions with existing systems.

Management and monitoring of implemented AI solutions, including AI model lifecycle management, performance monitoring, risk management, and security policy definition.

Formazione e sensibilizzazione del personale dell’azienda sull’uso e l’applicazione delle soluzioni di AI, tra cui la formazione sui concetti di AI, la formazione sui processi di lavoro e l’addestramento sull’uso degli strumenti di AI.

More specifically, our offer is characterized by the following features:

The systems of deep learning and artificial intelligence they surpass not only classical methods, but also human benchmarks in various tasks such as: prediction, decision making, automation, image recognition, and speech analysis. We give, Companies the opportunity to rapidly change existing business models by generating new disruptive andensure Software quality by performing code reviews.

We develop the software with quality craftsmanship and harmonious collaboration among team members such that it is configured as a one mind. Some teams work horizontally on database, server, and UI code, while other teams collaborate on different areas of a product’s functionality.

Code reviews can stimulate conversation and learning in the code base for both types of teams.

Code reviews are an excellent way for engineers and reviewers di discover bugs. Working through a complicated area of code requires both parties to understand the flow of logic and affirm the solution.

We use test end-to-end To verify that our applications work as intended across the entire stack and software architecture, ensuring that all microservices and components are properly integrated and work together. We build, test and deploy software using unit testing, integration testing and continuous integration (CI/CD).

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