Sanchit Srivastava
Sr.Manager Data Analytics and Architecture
Atlanta, Georgia, United States
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Sanchit Srivastava is a seasoned data strategist with a distinguished career spanning over 18 years. With a deep understanding of advanced Data Analytics, Data Engineering, Generative AI, Data Observability and modern Data Architecture, Sanchit has successfully delivered transformative data solutions across diverse industries, including consumer packaged goods, manufacturing, pharmacy, and retail. His motto, "make data easier, faster and more reliable" encapsulates his belief in the transformative power of data.
Currently leading Data Analytics and Data Architecture at a Fortune 500 CPG company, Sanchit is responsible for delivering robust data platforms and fostering a data-driven culture. His focus on Responsible Generative AI is driving innovation and efficiency across the organization. His forward-thinking approach has positioned him as a pioneer in the adoption of Responsible Generative AI, empowering teams to leverage the power of AI ethically and responsibly. Sanchit’s current focus on AI on unstructured data, large language models, generative AI, guided data analytics, data observability, data architecture, and data catalogs positions him as a thought leader in the industry.
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MCP – Context is Power: Driving Accuracy in AI
The Master Control Program (MCP) is redefining how AI learns and operates inside organizations. Instead of relying on generic training data, MCP gives Large Language Models direct access to an enterprise’s metadata, business glossaries, and systems, making AI context-aware, accurate, and business-aligned. With MCP, AI becomes not just smarter, but customizable to your workflows, terminology, and governance needs. This unlocks trust, scalability, and true competitive advantage.
But MCP is still evolving — with challenges around standards, engineering overhead, and the critical need for strong data quality. I’ll explore both the promise and pitfalls of MCP, and show how it can transform AI from a generic assistant into a precision engine for organizational knowledge and decision-making.
AI Ready Data Architecture
As AI and autonomous agents redefine how systems interact with data, modern data architectures must pivot from traditional analytical models to intelligent, AI-first designs. This session explores how to evolve your architecture to support AI-native use cases by embracing machine-oriented data models, metadata-rich data layers, and unified AI-driven observability. We’ll dive into why data quality and consistency are foundational for accurate RAG (Retrieval-Augmented Generation) and LLM fine-tuning, and how a well-architected, compressed data layer can accelerate low-latency responses. Learn how this intelligent layer becomes the bedrock for building knowledge graphs and enabling reliable contextual grounding for LLMs. In an agentic world, data is no longer just analytical—it’s operational.
Modern Data Architecture - Gen AI empowered
I will share how to architect a modern data platform. I will be sharing how Gen AI is complementing Data Engineering, Data Analytics, Data Science, MLE and Data Observability aspect of a data platform.
This session (presentation) will be followed by engaging Q&A session.
Atlanta Cloud Conference'25 - Modern Data Architecture: Built for AI, Powered by AI
AI agents are revolutionizing the analytics landscape, enabling NLP-driven conversations and transforming user interactions with data. However, our traditional engineering priorities and architectures must evolve to support this paradigm shift. In this session, we will explore the critical architectural changes required to empower AI agents, focusing on Retrieval-Augmented Generation (RAG), metadata richness, the AI semantic layer, and vector databases. We’ll discuss the role of knowledge graphs, feature stores, and Unified Observability concepts. Finally, we’ll map out an AI-agentic architecture, integrating large language models (LLMs), event-driven data pipelines, and fine-tuned embeddings, drawing parallels with existing technologies to pave the way for the next era of data-driven intelligence
GitHub Atlanta Conference - Journey of AI Assist to Agent
GitHub Atlanta Conference.
I spoke on how to approach AI code assists across Large Dev teams, Best practices, Metrics to watch out. Journey and incremental wins to expect. I shared my experience where I spearhead AI code assists across a large organization development team members, and what it took to drive adoptions and trust. Also Tech Best Practices.
https://github.registration.goldcast.io/events/230c771c-4e08-43f8-a21e-f53cbdf2a052
Applied AI Summit - Building Scalable Data Platforms for LLM Agents
Deep dive into 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.
IMPACT - Data Leader Panel
Data Leader Panel to discuss on Analytics and AI evolution. Focus on reliable data and best practices to achieve that.
DSC Summit - ALIGN AI Summit- NYC'24
SHAPE THE FUTURE OF AI WITH THE WORLD'S TOP DATA & AI EXECS
Gain exclusive insights in an intimate gathering of 200+ senior data and AI leaders from leading organizations at DSC's ALIGN AI Summits.
Join us in New York City to get up to speed on the latest in AI, network with fellow industry leaders, and engage in thought-provoking discussions about AI's biggest challenges and opportunities.
Infobip SHIFT ATL Conference-AI Ready Data - What and How?
Why, What and How to make Data Layers, AI ready.
Atlanta Developers' Conference 2025 Sessionize Event
Future Data Driven Summit 2025 Sessionize Event
Sanchit Srivastava
Sr.Manager Data Analytics and Architecture
Atlanta, Georgia, United States
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