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How do you build a production-grade Voice AI system? In this DataFest Tbilisi meetup, Microsoft Chief AI Architect Fatos Ismali explains the architecture behind real-time AI call automation systems. During the session, Fatos walked through the architecture, deployment, and scaling of an AI-powered call automation solution, demonstrating how modern AI agents can interact with users in real time through speech. The talk covered how to: ▪ design robust conversational workflows ▪ integrate speech recognition and speech synthesis ▪ manage latency, concurrency, and real-time performance ▪ implement governance, observability, and monitoring across the voice stack The session provided a practical architectural blueprint for building reliable, scalable, production-grade voice AI applications. 👤 About the Speaker Fatos Ismali — Chief AI Architect, Microsoft Fatos Ismali is a Chief AI Architect at Microsoft, specialising in bringing Generative AI applications into production for enterprise customers across professional services, media, telecommunications, and other industries. Working across the Azure Data & AI ecosystem, he designs and delivers large-scale AI and machine learning architectures that create measurable business impact. His work includes large-scale forecasting systems, propensity modelling for energy companies, scalable RAG architectures for customer experience, and multi-agent AI deployments across text, vision, and speech. 🤝 Organised by: DataFest Tbilisi with the support of IBCCS.tax and SmartCLM 🌐 Learn more about DataFest Tbilisi: https://datafest.ge #ai #voiceai #generativeai #microsoftai #DataFestTbilisi