XCALLY & Linux Foundation
Diego Gosmar, a prominent international innovator, serves as Chief AI Officer specializing inArtificial Intelligence, with particular focus on Generative Conversational AI, Natural LanguageProcessing (NLP), Sentiment Analysis, Conversation Analysis, AI Agent interoperability,Sustainable and Ethical Conversational AI.Diego is member of the Open Voice Interoperability and Trustmark group from the LinuxFoundation AI & Data, an International no-profit organization, dedicated to the definition ofstandards and guidelines for Conversational AI ethical and responsible use.He is the author of the following publication (original research):Gosmar, D. Conversational hyperconvergence: an onlife evolution model for conversational AIagency. Springer Nature AI Ethics (2024):https://doi.org/10.1007/s43681-024-00463-0Diego Gosmar et al., 2024. Insight AI Risk Detection Model: Vulnerable People EmotionalSituation Support, ACM, New York, NY, USA:https://doi.org/10.1145/3661167.3661235Diego Gosmar et al., 2024. Conversational AI Multi-Agent Interoperability, Universal OpenAPIs for Agentic Natural Language Multimodal Communicationshttps://arxiv.org/abs/2407.19438He is also the author of a Machine Learning Book available in multiple languages:https://www.amazon.com/dp/B08GFL6NVMHe has been a trainer and speaker in the last ten years for several international events aboutinnovation Telco technologies and AI. Here it is a list of Diego’s speeches:https://www.gosmar.eu/index.html#eventsPreviously, Diego has also led the international expansion of the XCALLY AI-Drivenomnichannel software solution, reaching over 60 countries worldwide, managing partnersand hundreds of customers scattered from Singapore to the Middle East and Japan, Europe,South Africa, United States, Brazil, and more.He is the Head of AI Advisor for several start-ups and Mentor at the I3P, the PolytechnicUniversity of Turin Innovative Companies Incubator, including Clearbox.AI leading companyspecializing in Explainable AI and Synthetic Data generation for AI Ethical models.
Session(s):