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AI Is Running in Your Enterprise.

But Is It Working?

A candid, peer-led conversation for CTO and CIO leaders on the operational realities of enterprise AI — the hidden failure points, the compounding costs, and what it actually takes to move from experimentation to enterprise-grade scale.

DATE
Thursday, June 25, 2026
6:00 PM – 9:00 PM Mountain Time

Venue
Water Grill · Denver Colorado
1900 16th St Mall

Format
Moderated Roundtable
15–20 Executives Only

The Honest Conversation

Most Enterprise AI Programs Are Failing Quietly

Not loudly. Not dramatically. Quietly — one ungoverned pilot, one missed data dependency, one invisible infrastructure cost at a time. If you’re a CTO or CIO today, you already know this. The question is what to do about it.

Despite record AI investment, the same pattern repeats across industries: aggressive budgets, early pilot wins, and then a slow grind against data chaos, governance debt, and infrastructure costs nobody planned for. The gap isn’t ambition. The gap is the operating model.

"A designer built in four weeks what a product team had tried to ship for three years — using an AI tool nobody approved. That's not an innovation story. That's what happens when the operating model hasn't caught up with the ambition."

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The Problem Thread

Four Realities. One Compounding Problem.

The Foundation Failure
Your data isn't ready — and AI can't outrun that
Enterprise data scattered across cloud, legacy, SaaS, and on-prem with no unified access layer. Every new initiative rewires the same problem from scratch.
The Scale Illusion
Pilots work. Platforms don't exist. Nobody talks about the gap.
Proof-of-concept succeeds, leadership celebrates — then operationalization quietly stalls. Without repeatable infrastructure, every use case starts at zero.
The Visibility Crisis
Shadow AI is already inside your enterprise — and you can't see it
AI tools your team didn’t approve are live today. All are ungoverned. Every day that passes, your compliance and operational risk surface grows — invisibly.
The Cost Blind Spot
AI infrastructure costs accumulate silently until the CFO asks
Inference, compute, storage, orchestration costs compound fast and are almost never attributed to the initiatives that generated them. The conversation shifts from value to defense.
Together, these four problems create an enterprise where AI investment outpaces AI value. The organizations that win the next five years won’t be the ones that ran the most experiments. They’ll be the ones that built the operating model to make those experiments matter.
Meet the Speakers

Panelists & Moderator

Panelist

Gary Clark

Board Advisor, NStarX Former CTO · Tesla · Juniper Networks · Barclays/BlackRock · DHL
Veteran technology executive with C-level and senior leadership tenure at Tesla, Volkswagen/CARIAD, Juniper Networks, Barclays Global Investors, and Deutsche Post DHL. Deep expertise in cloud architecture, IT strategy, and large-scale digital transformation across automotive, telecom, logistics, and financial services.
Panelist

Mark Hydar

Former CTO, TeleSign Former SVP Platform Eng · DataRobot · Box · Oracle · Ericsson
Seasoned CTO with 20+ years in technology leadership spanning ML, cloud computing, and database engineering. Led platform engineering at DataRobot, VP Engineering at Box, and senior technical roles at Oracle and Ericsson. Expert in building production-grade AI and data platforms at enterprise scale.
CEO, NStarX IIT (BHU) Computer Science · Carnegie Mellon Tepper MBA
25+ years in product engineering and enterprise software. Architect of NStarX’s Service-as-Software model. Previously Chief Delivery Officer at Ness Digital Engineering, SVP at Accion Labs and JK Tech. Led global engineering and delivery organizations at scale across financial services, media, and healthcare.
Moderator

Mike Jackson

Enterprise Software Executive · Denver, CO Oracle · JD Edwards · Pearson · Marketron (SVP Engineering)
Denver-based enterprise software leader with career roots at Oracle, JD Edwards, and Pearson. Former SVP Engineering at Marketron. A skilled executive moderator known for candid, high-signal conversations at the intersection of enterprise technology and business strategy.
The NStarX Answer

The Converged Platform —
Built for Exactly This Problem

NStarX built the Converged Platform because we couldn’t find anything that solved these four problems together. It is the operational infrastructure layer that enterprise AI has been missing — and what we will demonstrate live in the room.
Data Layer
Unified Data Connectivity
A governed integration fabric across cloud, on-prem, and SaaS — so every AI initiative draws from one trusted foundation instead of building its own pipeline from scratch.
Governance Layer
AI Catalog & Controlled Environments
Centralized registry of every model, agent, and workflow — with full lineage, version control, and approval governance. AI Zones enforce compute boundaries. You always know what’s running and who approved it.
Financial Layer
Real-Time Cost Attribution
AI infrastructure spend attributed by team, initiative, and model in real time. The CFO conversation becomes a strength, not a vulnerability.
Velocity Layer
Prompt to Real & Low-Code Building
Business teams describe a need in plain language — Prompt to Real scaffolds a governed application. The Converge App builder lets domain experts build without engineering bottlenecks. Time-to-value collapses from quarters to weeks.
Scale Layer
Agentic AI & Autonomous Workflows
Multi-agent orchestration and visual workflow pipelines enable autonomous operations that compound without proportional headcount growth — the foundation of operational leverage at scale.
Operations Layer
Observability & Production Control
End-to-end monitoring, KServe-based model serving, Tekton CI/CD pipelines, and deployment rollback give engineering teams full operational command over every model in production.
The Evening

How the Roundtable Runs

A peer conversation — moderated, candid, and structured to go somewhere. Not a panel. Not a pitch.

01.

6:00 PM — Arrival
Networking & Introductions

Informal peer connections facilitated by the NStarX team. Drinks and light bites upon arrival.

02.

6:30 PM – 7:30 PM — Panel Discussion
The Honest State of Enterprise AI

Moderated by Mike Jackson. Panelists Gary Clark, Mark Hydar, and Angshuman Patra lead a candid discussion on the operational realities of enterprise AI — what's working, what's failing quietly, and what it actually takes to scale. Open floor to the room throughout.

03.

7:30 PM – 8:00 PM — Closing Roundtable
The 90-Day Question

One forward-looking prompt to the table: If you could make one structural change to how your organization runs AI in the next 90 days — what is the single biggest thing standing in your way?

04.

7:30 PM – 8:30 PM — Dinner
Dinner is Served

Dinner served concurrently through the closing roundtable and into the platform demo — Water Grill's signature menu in an intimate private dining setting.

05.

8:30 PM – 9:00 PM — Close
NStarX Platform Demo + Networking & Q&A

Live demonstration of the NStarX Converged Platform against a real enterprise scenario — not a feature tour. Open Q&A and peer networking to close the evening. No hard asks. Optional next steps available to every attendee.

What You Take Away

Useful Whether You Partner
with NStarX or Not

NStarX built the Converged Platform because we couldn’t find anything that solved these four problems together. It is the operational infrastructure layer that enterprise AI has been missing — and what we will demonstrate live in the room.

A Shared Framework

Language for AI governance, cost attribution, and scale that holds up in a board conversation — not just a technical one.

A Diagnostic Lens
A clearer picture of where your organization sits in the four-problem chain — and which gap is costing the most right now.

A Platform Reference
A live, working understanding of what enterprise-ready AI infrastructure actually looks like — demonstrated, not described.

A Peer Network
Direct relationships with 15–20 leaders navigating identical pressures. The conversations that matter most happen after the agenda ends.
Venue

Water Grill Denver

Water Grill
at Market Station

1900 16th St Mall, Denver, Colorado 80202
Award-winning seafood restaurant in the heart of Denver’s Lower Downtown — a premier setting for intimate executive dining.

Covered valet parking available at the Market Station Garage (corner of Blake St. & 16th St. Mall).

Date & Time
Thursday, June 25, 2026

6:00 PM – 9:00 PM Mountain Time

Attendance
By Invitation Only

15–20 Executives Maximum

Format
Moderated Executive Roundtable + Dinner
RSVP

Reseave Your Seat

Seats are limited. Please fill in your details below to confirm your participation.

RSVP - Executive Rountable
Optional Next Step · For Any Attendee Who Wants One

Private 90-Minute AI Operational Readiness Assessment

Scoped to your specific environment, your current AI estate, and the highest-leverage place to start building the operating model. No commitment required. Available to every attendee.
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