Today's availability of generative artificial intelligence technologies makes large quantities of information and unstructured textual data accessible and queryable via natural language, giving the possibility of creating real distributed knowledge bases that can be exploited both by internally of companies and in the relationship with the customer.
acts as an engine that allows us to extract, through natural language, knowledge, reaggregate it and redistribute it in a conversational form, enabling the "artificial intelligence" component which is the basis of the new generation of "human like" interaction systems, such as digital assistants Oh, digital humans.
allows companies to benefit from complete support in all phases of development and training of conversational systems: from the creation of a consistent knowledge base within a knowledge domain, to the introduction of generative models (based on information retrieval techniques and LLM), up to the training and subsequent optimization of the algorithms using the most appropriate techniques for the level of complexity required by each use case. For example, MLFRAME Reply has already been used in the creation of "onboarding" systems based on conversational interfaces, as well as having provided the specific conversational intelligence component for digital human models aimed at the banking, insurance and automotive sectors.
Reply [EXM, STAR: REY] specializes in the design and implementation of solutions based on new communication channels and digital media. Made up of a network model of highly specialized companies, Reply supports the main European industrial groups belonging to the Telco & Media, Industry and Services, Banking and Insurance and Public Administration sectors in definition and in the development of business models enabled by the new paradigms of AI, Cloud Computing, Digital Media and Internet of Things.
Machine Learning Reply is the Reply group company specialized in providing artificial intelligence services and solutions to guide its customers towards digitalization, helping them to become more competitive and data-driven thanks to Smart Analytics, Machine Learning and Artificial Intelligence. With experience in deep learningIn computer vision, NLP and predictive modeling, the company helps its customers power their businesses by providing them with highly experienced, dedicated development teams.
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