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๐Ÿš€ The talk highlights how chat-based experiences can better support users and dives into practical lessons from deploying LLM-powered assistants at scale.

Key trade-offs explored include defined intent vs. LLM-first approaches, single vs. multi-agent architectures, and balancing model size, latency, cost, and performance. It also covers decisions around prompt design, memory use, fallback mechanisms, and testing strategies. These design choices shape user experience, build effort, and risks.

๐ŸŒŸ Somnath has 23+ years of experience in the software industry. Working with GSIs, enterprises and startups in the Telecom, Financial services, Healthcare, E-commerce and Job tech domains. He has built core ML and NLP products from the trenches for the likes of NatWest, IQVIA, Amazon, his own startup and most recently productionizing GenAI solutions for the Stepstone Group, where he heads the conversational products and parsing domains.

๐ŸŒŸ Currently building in Stealth mode. Product leader specialising in AI-powered financial products with a decade of experience scaling global teams and driving measurable business impact. Built 0-to-1 products across AI, payments, and e-commerce that delivered $20M+ cost savings and 44% revenue growth while managing cross-functional teams of up to 150 people across international markets. Passionate about democratizing AI adoption within organisations and developing the next generation of product talent. Previously spoke at Mind the Product's ProductTank London on cross-cultural collaboration in global product development.

โฐ Schedule (CET)
17:00 - 17:05 Intros
17:05 - 18:00 Presentation and Q&A
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