Free Lesson

Is Your Customer Data Ready for AI?

Hosted by Dheeraj Saxena

Tue, Jul 14, 2026

5:00 PM UTC (45 minutes)

Virtual (Zoom)

Free to join

Invite your network

Go deeper with a course

Enterprise AI Architecture Standards: Architecting AI For Global Enterprises
Dheeraj Saxena
View syllabus

What you'll learn

Why CRM/Marketing AI projects fail on weak data foundations

Understand why most AI failures trace back to the poor data foundations, and not the model or the platform.

Learn the 5 layers of AI-ready customer data

Get a clear framework for the five layers that decide whether your customer data can support AI.

Grade your readiness and map a 3–6–18 month path

Get a concrete framework to score where you are today and a phased roadmap to your target state.

Why this topic matters

Most CRM/Marketing AI pilots fail not because of the tech, but because the customer data foundation underneath was never ready. Before you run a single pilot, you need the foundations in place: clean first-party data, resolved identity, governed consent, activation, and measurement. This session introduces you to a framework to grade those foundations and a phased path to build them first.

You'll learn from

Dheeraj Saxena

Ex-IBM, TCS, Wipro Consultant. | 25+ Years Scaling Data, AI & MarTech Solutions

25+ years building enterprise data platforms and intelligent customer systems, with the last 5 years focused on Generative AI solutions and classic ML platforms within CRM/Marketing space. Former senior consultant and advisor at IBM, Tata Consultancy Services, and Wipro.

Specialising in Enterprise AI engineering and AI-ready data architecture — including RAG Pipelines, Agentic workflows, Customer Data Platforms, MAP Systems, and Enterprise Data & AI architecture.

Grounded in real enterprise delivery across Retail, Insurance, E-commerce, and Automotive verticals.

See all products from Dheeraj

Sign up to join this lesson

By continuing, you agree to Maven's Terms and Privacy Policy.