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RAG transformed enterprise AI; however, production systems face numerous critical challenges, including the lack of visual context due to complex document layouts and the need for real-time incremental indexing when values change in documents. Documents are visual representations of information intended for human readers, and LLM/OCR-based parsers struggle due to a weak spatial reasoning ability. On the other side, real-time updates don’t reach your knowledge base, and your AI doesn’t learn over time. These create considerable risks for critical use cases. Join Dan Maloney (CEO, LandingAI) and Olivier Ruas (Director of Product, Pathway) to explore strategies for building Agentic AI systems that are explainable, accurate, auditable, and continuously evolving. – Discover how LandingAI’s ADE zero-shot handles complex documents that break traditional parsers, from multi-format reports to intricate financial statements. – Learn how Pathway’s LiveAI™ creates intelligence that thinks and learns in real-time, or delivers live indexes on streaming data that automatically update as your documents change. – Learn about recent pathbreaking releases from LandingAI and Pathway You’ll walk away understanding why some document AI projects succeed while others stall, and what overlooked capabilities make the difference. – When: Sept 23rd, 11 AM PST / 8 PM CET / 11:30 PM IST – To register, mark “Attend” on this LinkedIn event Also Featuring: This webinar is featured in conjunction with the Pathway x LandingAI x Devnovate Financial Agents Hackathon, taking place on October 3rd at Microsoft SVC Mountain View. Learn more and register at https://luma.com/hwbay