Mark Azad: Don't run the risk of Snake Oil AI

In this insightful interview, Mark Azad, CRO of Across AI, discusses the transformative potential of reasoning graphs and long-term memory in enterprise AI. He explains how these technologies surpass traditional RAG systems, enabling more reliable, scalable, and context-aware AI applications across sales, marketing, and operations. key topicsThe difference between reasoning graphs and RAG systemsThe importance of memory in enterprise AIHow reasoning graphs enable reliable, scalable actionsEvaluating AI vendors: ROI and extensibilityChange management in AI adoption keywordsAI, reasoning graph, long-term memory, enterprise AI, RAG systems, AI deployment, ROI, change management, AI buyer guide