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: Dec 25, 2026

Season 1 Official Premiere

Dropping December 25, 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

The 6-Episode Masterclass

Dropping biweekly starting December 25, 2026. Dilip and Babita deconstruct the unvarnished realities of turning initial AI vision (Day Zero) into resilient, governed enterprise production (Day One).

Season 01 // Ep 01 Dec 25, 2026

From Pilot to Production

Crossing the Enterprise AI Chasm

Deconstructing why 85% of enterprise AI pilots stall before reaching production. How to bridge the dangerous gap between flashy prototypes and mission-critical systems of record.

Strategic Lens Dilip: Business casing, executive alignment, and ROI validation on regulated data.
Engineering Lens Babita: Latency budgets, stateful agent pipelines, fallback architectures, and telemetry.
Season 01 // Ep 02 Jan 08, 2027

When Leaders Should Say No to AI

The Discipline of Deterministic Engineering

The strategic discipline of knowing where deterministic code, rule engines, or simple databases beat generative models in enterprise workflows.

Strategic Lens Dilip: Risk exposure, liability boundaries, and unit economics of deterministic vs. probabilistic systems.
Engineering Lens Babita: Compute overhead, non-deterministic bug surfaces, and microservice simplicity.
Season 01 // Ep 03 Jan 22, 2027

The Problem Behind the Problem

Operational Attitude vs. Innovation Attitude

Why enterprise AI transformation stalls at the organizational seam between rapid innovation experiments and unyielding day-to-day operations.

Strategic Lens Dilip: Cultural incentives, organizational taxonomy, and bridging the strategy-execution divide.
Engineering Lens Babita: Operational runbooks, 2 a.m. pager realities, master data hygiene, and CI/CD resilience.
Season 01 // Ep 04 Feb 05, 2027

Junior Engineers in the AI Era

Their Role in the DayZero to DayOne Journey

How AI coding assistants and autonomous tooling are altering career paths, mentorship, and foundational engineering literacy from Day Zero through production.

Strategic Lens Dilip: Talent pipeline strategy, technical leadership development, and organizational resilience.
Engineering Lens Babita: Code comprehension, deep debugging intuition, and avoiding synthetic technical debt.
Season 01 // Ep 05 Feb 19, 2027

The Compliance Tax is a Moat

Turning Regulatory Rigor into Enterprise Advantage

Turning rigorous governance, FCRA/SOC2/HIPAA compliance, and model auditing from organizational friction into an unassailable enterprise competitive moat.

Strategic Lens Dilip: Regulatory defensibility, FCRA/HIPAA compliance moats, and audit-ready decision science.
Engineering Lens Babita: Cryptographic logging, Model Context Protocol (MCP) policy enforcement, and immutable pipelines.

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.