DayZero2DayOne

Enterprise Data & AI
First-Principles Tech & Strategy

Architected for Day Zero.
Built for Day One.

Where foundational systems plumbing meets enterprise decision science. Candid, unvarnished deep-dives into what it actually takes to build, deploy, and govern artificial intelligence on top of mission-critical systems of record.

Biweekly Audio & Video
Systems Architecture & Decision Science
Season 1 Premiere: Oct 15, 2026

Season 1 Official Premiere

Dropping October 15, 2026 across major executive audio and video networks.

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The Strategic Minds Behind DayZero2DayOne

A complementary counterpoint: One host examines the strategic data governance, risk frameworks, and enterprise decision science; the other deconstructs the foundational systems plumbing, platform abstractions, and developer reality.

Dilip Singh

Dilip Singh

Co-Host • The Strategic Lens

Enterprise AI Strategist & Decision Systems Architect

Role on the Show: Evaluates the macro forces — unpacking how executive teams buy, govern, and audit AI on top of regulated enterprise data without risking data integrity, compliance violations, or customer trust.

Over two decades architecting world-class decisioning engines, identity graphs, and fraud methodologies at enterprise scale. Brings deep analytical rigour to the governance debate, examining how autonomous models intersect with FCRA, regulatory constraints, and high-stakes financial decisioning.

38+ Filed Patents AI 100 Award Recipient Oncon Icon Award (2026) Global Identity Architecture Enterprise Decision Science
Babita Kumari

Babita Kumari

Co-Host • The Engineering Lens

Hyperscale Platform Architect & Systems Builder

Role on the Show: Takes listeners directly into the engine room — peeling back the code, API boundaries, developer friction, and architectural truths of making AI models run reliably in high-scale enterprise environments.

Deep, hands-on architectural depth in distributed cloud systems, hyperscale microservices, and enterprise middleware. Specializes in the foundational plumbing that bridges legacy systems of record to modern AI agent protocols, focusing on developer platform scale and system resilience.

Hyperscale Cloud Architecture Model Context Protocol (MCP) Distributed Systems Plumbing Enterprise Data Integration Platform Reliability

Strategic Discussion Pillars

No vendor pitches. No synthetic hype. Just rigorous, first-principles examination of enterprise challenges.

// PILLAR 01

Systems of Record vs. Systems of Intelligence

Why Fortune 500 master data, identity hygiene, and legacy pipelines represent the true bottleneck for generative and agentic AI adoption.

// PILLAR 02

Governance & The Compliance Moat

Operationalizing Model Context Protocol (MCP), FCRA, HIPAA, and SOC2 guardrails when autonomous agents execute business decisions.

// PILLAR 03

Platform Engineering at Scale

Real-world post-incident learnings, developer platform abstractions, and what actually breaks when 10,000+ engineers share one platform.