Field notes from the rooms where enterprise AI gets decidedNext room: Singapore & New York · 13 Nov 2026
The CIO Room
Vino Kingston, Enterprise Data & AI Transformation Leader at Lockheed Martin
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Lockheed MartinAerospace & Defense

Spoke at CDO Vision Dallas–Fort Worth 2026

Vino Kingston

Enterprise Data & AI Transformation Leader at Lockheed Martin

1Rooms joined
1Sessions on stage
0Awards
LinkedIn

On their agenda

Priorities, mapped against profiled leaders

Source: 734 The CIO Room leader profiles with at least one priority theme, from 742 leaders in the series. Share of those leaders in each theme; leaders may have multiple themes. Yellow marks Vino's saved themes.

In the room

CDO Vision Dallas–Fort Worth 2026

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Dallas–Fort Worth room · 8 May 2026
Dallas–Fort Worth · 8 May 2026
Dallas–Fort Worth room · 8 May 2026
On film

CT · Panel

Transforming Industries with AI: Enterprise Success Stories

As AI adoption expands from experimentation to enterprise-level implementation, understanding sector-spanning success stories becomes essential. This panel will explore how AI drives operational efficiency, smarter decision-making, and personalized experiences at scale. Leaders will discuss methods to align AI initiatives with business goals and address pressing issues around ethics, governance, and workforce adaptation. Panelists will examine methods for turning AI insights into actionable strategies that impact business performance.

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About

<p>Vino Kingston is an Enterprise AI and Data Transformation Executive with over 30 years of experience. He specializes in evolving traditional analytics into knowledge-driven decision systems across highly regulated sectors, including aerospace, defense, and automotive. Currently, at Lockheed Martin, he leads AI transformation by integrating retrieval frameworks, governance, and autonomous agents into mission-critical workflows. </p><p>Throughout his career at organizations like Ford, HPE, and Canoo, Kingston has built scalable data fabric ecosystems and Lean-Agile operating models. His expertise spans AI governance, vector databases, and instrumentation engineering, focusing on turning complex data into intelligent, closed-loop operating models.</p>

Summarised from public LinkedIn activity ·

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