As a global leader in AI and analytics, Tiger Analytics helps enterprises build and scale intelligent systems that deliver real impact. At trAIbe 8.0, we explore one of AI’s most demanding frontiers, Agentic AI Systems.
Discover the real-world challenges of taking Agentic AI from prototype to production, with insights from Tiger Analytics’ hands-on experience in context pipelines, memory management, evaluation frameworks, and observability for scalable, reliable AI.
Agentic AI systems promise autonomy and adaptability, but deploying them in real-world environments is anything but simple.
In this session, Sudalai unpacks the practical challenges of building, scaling, and maintaining these systems in production covering context pipeline design, long-term memory management, evaluation frameworks, and observability to ensure reliability and continuous improvement.
As AI evolves rapidly, from traditional ML to GenAI and Agentic systems, the landscape is changing – not just in technology, but in how we think about problems and opportunities. This fireside chat explores how today’s AI professionals can evolve from developers to thinkers, creators and evaluators, adapting their skills and mindsets to thrive in the next era of intelligent systems. What will define success in the next few years – technical mastery, collaboration, or adaptability?
Gain insights from Tiger Analytics experts building real-world AI systems
Learn practical strategies for deploying and scaling Agentic AI architectures
Network with the AI, ML and Data Science community and exchange ideas
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