Session

Low-Code, No-Code, Pro-Code: Democratizing AI Across the Enterprise.

This keynote was delivered at the Global AI Show, Abu Dhabi, one of the world’s largest AI forums bringing together policymakers, CXOs, technologists, startups, and AI practitioners from across the globe.

The session explored a critical shift shaping the next phase of enterprise transformation:
AI does not scale through models alone—it scales when intelligence is distributed across the organization.

The talk examined how AI is evolving from a capability owned by specialist teams into an organizational superpower, enabled through three complementary layers:

No-Code, which drives mass adoption by empowering business users

Low-Code, which enables rapid automation for analysts and domain experts

Pro-Code, which remains essential for building secure, scalable, enterprise-grade AI systems

Together, these layers form a true AI Factory, where every function becomes a builder while governance and control remain intact.

A significant part of the session focused on the next evolution of AI—Agentic AI—systems that go beyond responding to prompts and are capable of perceiving, reasoning, acting, and collaborating autonomously.

Key discussion areas included:

Multimodal, agentic customer experiences across chat, messaging, and voice channels

Multi-agent enterprise architectures spanning sales, service, operations, finance, and IT

The role of Model Context Protocol (MCP) as the connective layer enabling secure agent interaction with enterprise systems

Why governance, observability, and action-level guardrails are non-negotiable as AI systems gain autonomy

The session concluded with a clear takeaway:
Enterprises that win will be those that democratize AI responsibly—empowering people, governing systems, and scaling intelligence across every workflow.

Session Type: Keynote / Strategic Deep Dive

First Public Delivery: Global AI Show, Abu Dhabi (December 2025)

Target Audience: CXOs, CTOs, CIOs, Chief Digital Officers, AI & Data Leaders, Enterprise Architects, Product Leaders, Platform & Engineering Heads

Audience Level: Executive to Senior Technical (strategy-first, execution-informed)
Preferred Duration: 30–40 minutes (keynote + Q&A)

Delivery Format:
Keynote-style presentation with real-world enterprise examples
Minimal theory, strong focus on decision frameworks & execution lessons
Interactive Q&A

What This Session Is / Is Not:

Is: A practical, leadership-level framework for scaling AI responsibly across enterprises

Is Not: A vendor pitch, tool comparison, or purely technical deep dive

Deepak Gupta

Group CTAIO | Group President | ex- CARS24, Airtel International | 2xTop Al & Data Voice | Forbes Technology Council Member Leader | FinTech | IIT-Delhi |AI & ML Global Speaker | Startup Mentor

Hyderābād, India

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