Applied AI Summit
Free online conference | October 14-16, 2025Building Scalable Data Platforms for LLM Agents
LLM agents rely on high-quality, real-time, and scalable data platforms to deliver accurate, context-aware responses and autonomous decision-making. Architecting these platforms requires robust data pipelines, vectorized storage, retrieval-augmented generation (RAG), fine-tuning frameworks, and AI-driven observability to manage massive, dynamic datasets efficiently.Fine-tuning LLMs with domain-specific data enhances precision, adaptability, and contextual relevance while requiring efficient model training, hyperparameter tuning, and continual learning pipelines. Additionally, AI Ops ensures seamless automation, AI governance enforces compliance and ethical AI practices, and AI observability enables real-time monitoring and issue resolution. Key challenges include ensuring data reliability, mitigating bias, optimizing inference, and enabling low-latency access. By integrating cloud-native architectures, AI observability, AI Ops, governance frameworks, and fine-tuning strategies, organizations can build scalable, resilient, and high-performing data platforms for next-generation LLM applications.
During this talk, we will cover Agentic Data Layer, Knowledge Layer, Intelligent Semantic Foundation, Governance & Observability Layer for an AI agent. We will also cover Fine Tuning Techniques and expected outcomes.
About the speaker
Sanchit Srivastava
Sr. Manager Data Analytics & Architecture / Principal Architect at General Mills Inc
Sanchit Srivastava is a Data & AI leader with nearly two decades of experience driving large-scale digital transformations, AI innovation, and modern data engineering strategies. He has spearheaded enterprise-wide analytics modernization, leading the migration of legacy platforms to cloud-native architectures and implementing AI-powered solutions that enhance data reliability, agility, and business impact. At the forefront of the Generative AI revolution, Sanchit is shaping Gen AI strategy, developing enterprise decision frameworks, and upskilling global teams on cutting-edge AI capabilities. His expertise spans advanced analytics, AI-driven data observability, data virtualization, and cloud computing, making him a sought-after thought leader in the industry. Sanchit has been instrumental in shaping AI adoption in enterprises, having implemented responsible AI frameworks, governed AI-driven solutions, and championed data democratization. His leadership extends beyond technology, as he actively contributes to analytics roundtables, mentors aspiring professionals, and evaluates innovative tech startups. Recognized for his strategic acumen and impact, Sanchit has been cited in industry case studies, judged prestigious technology awards, and led transformative AI-powered initiatives that have accelerated business growth. His passion lies in making data an “easy, fast, and reliable” asset for organizations, ensuring that AI and analytics drive measurable, scalable value.