Trusted Data → Trusted AI: Data Architecture & Integration Patterns
AI models are only as good as the data behind them. Poor data pipelines lead to hallucinations, compliance risks, and broken trust. This workshop shows how to design AI-ready data architectures that deliver clean, governed, and explainable flows across Snowflake, Salesforce Data Cloud, and Neo4j GraphRAG.
You’ll learn integration patterns, governance practices, and observability methods that make LLMs, RAG, and AI agents truly enterprise-ready.
Who Should Attend:
- Architects & Dev Leads
- Enterprise & Data Architects
- Data/AI Engineers building RAG pipelines
- Governance & MDM leaders
Key Outcomes:
- Design zero-copy data flows across Snowflake + Salesforce Data Cloud
- Apply observability & governance to prevent AI failures
- Use GraphRAG with Neo4j for explainability and trust
- Deliver data contracts for agents and RAG pipelines
- Walk away with templates, playbooks, and a 90-day roadmap
Module 1: AI-First Data Architecture
- Data demands of LLMs and agents
- AI-ready vs AI-risky data
- Lake vs warehouse vs lakehouse
Module 2: Integration Patterns
- Batch, streaming, and event-driven pipelines
- Zero-copy Snowflake ↔ Salesforce Data Cloud
- Feeding Agentforce with curated data
Module 3: RAG Systems
- Chunking & embedding patterns
- Vector stores (Pinecone, Bedrock, Weaviate)
- Why stale data = hallucinations
Module 4: Governance & MDM
- Golden IDs and trusted reference data
- PII masking and purpose-based access
- Blueprint: Snowflake + Data Cloud + MDM
Module 5: Observability & Lineage
- Freshness, drift, and schema monitoring
- Tools: Great Expectations, Monte Carlo, OpenLineage
- Incident runbooks for AI pipelines
Module 6: GraphRAG for Explainability
- What is GraphRAG and why it matters
- Demo: Neo4j + RAG with evidence paths
- Making AI auditable and compliant
Module 7: Industry Patterns & Roadmap
- Retail, healthcare, insurance, manufacturing use cases
- 90-day maturity roadmap: quick wins → trusted AI
About Rohit Bhardwaj
Rohit Bhardwaj is a Director of AI & Data Architecture at Salesforce, where he focuses on enterprise AI, agentic systems, cloud-native architecture, distributed systems, data platforms, security, and large-scale transformation.
Over his career, Rohit has designed and led complex enterprise platforms across AWS, Google Cloud, microservices, real-time data, API ecosystems, resilient distributed systems, and AI-enabled architectures. His work increasingly focuses on the challenges enterprises face as software evolves from deterministic services to AI-native and agentic systems—particularly around reliability, governance, evidence, security, observability, cost, and safe autonomy.
Rohit is the author of System Design with AI Interview Guide: Designing Scalable, Agentic, and Defensible Systems, published by Apress. The book presents a modern approach to system design covering scalability, distributed systems, AI architecture primitives, security, reliability, economics, agentic systems, and real-world architectures including e-commerce, ride sharing, payments, fraud detection, messaging, video streaming, file storage, and search. (Springer Link)
Book:
Amazon: https://a.co/d/09Zs1twa
Publisher / Springer Nature: https://link.springer.com/book/10.1007/979-8-8688-2782-2
O'Reilly: https://learning.oreilly.com/library/view/system-design-with/9798868827822/
Rohit is also an O’Reilly instructor and a frequent speaker at technology conferences including No Fluff Just Stuff, UberConf, GIDS, and other international events. His talks focus on practical architecture lessons from building and operating complex systems, including AI control planes, trusted agents, inference at scale, evidence-first RAG, AI security, distributed-system failure, and AI-era software architecture.
As a trusted advisor and architecture leader, Rohit works at the intersection of business strategy and deep technical architecture—helping teams translate complex business problems into scalable, resilient, secure, and economically sustainable systems.
Rohit holds an MBA in Corporate Entrepreneurship from Babson College and graduate-level education in Computer Science from Boston University and Harvard University.
Connect with Rohit:
LinkedIn: http://linkedin.com/in/rohit-bhardwaj-cloud
X / Twitter: @rbhardwaj1