Transforming Data into Intelligence

Experience in GenAI, AI, and Agentic Systems

Helping organizations transform their data into actionable intelligence and scalable AI-driven products. Deep expertise in cloud architecture, enterprise data platforms, and AI-powered automation.

About Prashant Dhingra

Prashant Dhingra is an experienced technology leader specializing in Artificial Intelligence (AI), Generative AI (GenAI), and emerging Agentic AI systems that power intelligent data-driven products.

Prashant has hands-on experience designing and building AI systems that integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and enterprise data platforms. His work emphasizes practical, production-grade AI solutions that combine structured enterprise data, document processing, and modern AI models to deliver measurable business outcomes.

"Built end-to-end AI systems combining document ingestion, OCR pipelines, structured data extraction, vector search, and LLM reasoning to support complex enterprise use cases such as financial analysis, compliance workflows, and intelligent research assistants."

Core Expertise

Bridging the gap between cutting-edge AI capabilities and enterprise reality.

Generative AI Platforms

Expertise in LLM integration, advanced prompt engineering, and building robust Retrieval-Augmented Generation (RAG) architectures.

Agentic AI Systems

Designing systems that orchestrate multi-step reasoning, dynamic tool usage, and autonomous workflows to solve complex problems.

Enterprise AI Architecture

Seamlessly integrating cloud platforms, expansive data lakes, modern vector databases, and scalable AI services.

AI-Powered Data Products

Converting raw enterprise data into intelligent decision-support systems, automation tools, and interactive digital assistants.

Exclusive Offering

Executive Workshop:
Building Data Products Using AI

Designed specifically for senior leaders responsible for driving AI transformation within their organizations. The focus is on moving beyond isolated AI experiments to building scalable, monetizable AI-powered data products.

Designed For:

CAIOs CDOs CTOs Product/Innovation Leaders Enterprise Architects

What Participants Learn

1

Identify High-Value AI Data Products

  • Converting enterprise data into monetizable products
  • Identifying AI use cases with measurable ROI
  • Aligning AI initiatives with business strategy
2

Architect Modern AI Platforms

  • Designing AI architecture (LLMs, RAG, vector DBs)
  • Integrating enterprise data sources and APIs
  • Building scalable & secure cloud AI platforms
3

Build Agentic AI Workflows

  • Designing agents that reason, plan, & execute
  • Orchestrating tools, APIs, and enterprise data
  • Human-in-the-loop governance implementation
4

Develop AI-Powered Data Products

  • Creating copilots and knowledge assistants
  • Designing reusable AI product frameworks
  • Accelerating development with modern AI stacks
5

Operationalize AI in the Enterprise

  • Governance, security, and responsible AI
  • MLOps and LLMOps for production systems
  • Measuring value and scaling across orgs

Workshop Outcomes

Executives leave equipped to create competitive advantage through production-scale AI.

Clear blueprint for AI data products
GenAI & Agentic AI reference architecture
Frameworks for prioritizing use cases
Roadmap for operationalizing AI
Inquire About Workshop Availability

Combining strategic leadership insights with hands-on architectural guidance.