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David Linthicum
Leesburg, United States
David Linthicum is a globally recognized thought leader, innovator, and influencer in artificial intelligence (AI), cloud computing, and cybersecurity. Until early 2024, he served as the Managing Director and Chief Cloud Strategy Officer at Deloitte Consulting LLP, where he brought over 30 years of extensive experience in enterprise technology, championing innovative AI-driven solutions that enabled corporations and start-ups to disrupt their markets and enhance operational efficiency.
David Linthicum
Points
Academic
0
Author
515
Influencer
1831
Speaker
0
Entrepreneur
20
Analyst
1
Total
2367
Points based upon Thinkers360 patented algorithm.
Thought Leader Profile
Portfolio Mix
Company Information
Areas of Expertise
Agentic AI 30.06
AI 36.91
AI Governance 33.62
AI Infrastructure 35.83
Cloud 45.34
Generative AI 30.72
Industry Experience
Publications & Experience
1 Analyst Brief
Enterprise AI Is About to Get Smaller, Narrower, and Much More Valuable
LinkedIn
September 24, 2026
There is a shift coming in enterprise AI, and I suspect many
organizations are not ready for it. Most enterprises are still fascinated by
the big foundation models, the frontier LLMs that can answer almost any
question, write code, summarize meetings, draft emails, generate...
Three days to TechCrunch Disrupt: What’s next for AI and software development
Import from infoworld.com
October 10, 2026
First AI gave us code completion, predicting the lines of code, functions, and boilerplate we needed based on what we’d already typed. Then came code suggestions and code generation, where AI writes new code or improves existing code based on a natural language prompt.
The best new features in Python 3.15
Import from infoworld.com
October 09, 2026
Python 3.15 is one of the most feature-packed Python releases in many a moon, and the general release has just arrived. Here’s a rundown of the biggest, boldest, and most important innovations, changes, and fixes.
Lightwell project filters out 400 Java library vulnerabilities
Import from infoworld.com
October 09, 2026
Lightwell, the open-source security initiative set up by IBM and Red Hat, has identified more than 400 previously undiscovered vulnerabilities in widely used Java libraries — and now the companies are inviting customers to submit their own code dependencies to a new service,
OpenAI reports three new incidents of misalignment
Import from infoworld.com
October 09, 2026
OpenAI continues to report incidences of “misaligned” behavior by its AI models, with three new reports dropping on Oct. 2. However, they describe relatively minor issues compared to previous alignment reports and notices covering its attacks on Hugging Face, Rubygems, and
As AI agents grow, vendors carve out decision-making as a separate model layer
Import from infoworld.com
October 09, 2026
As enterprises struggle to balance AI budgets with the demands of scaling agentic applications, they have been increasingly looking for ways to make those systems more efficient, from hard-coding deterministic decisions to using smaller models for specific tasks.
Neoclouds and the enterprises that need them
Import from infoworld.com
October 09, 2026
I’ve been tracking the rise of neoclouds in the past couple of years, and I’ll start by admitting that the numbers are genuinely staggering. Synergy Research Group reports that neocloud revenues hit $9 billion in the fourth quarter of 2025 alone, up 223% year over year, ex
AWS takes aim at runaway AI agent behavior with Strands Box
Import from infoworld.com
October 08, 2026
Amazon Web Services (AWS) has introduced an open-source sandbox for AI agents that allows developers to restrict their actions based on previous behavior, seeking to address security risks as enterprises give autonomous systems greater access to applications and data.
AI-powered data pipeline observability: Stop monitoring and start preventing
Import from infoworld.com
October 08, 2026
Devops tools are making it increasingly easy to monitor data pipeline failures. But in many cases, those alerts are already too late. Take marketing campaigns, for example. Every mistake in data for marketing and sales has a trickle-down effect on revenue.
AWS’ support for Iceberg materialized views on Redshift could help lower analytics costs
Import from infoworld.com
October 07, 2026
AWS has added support for Iceberg materialized views to its managed cloud data warehouse service, Amazon Redshift, in an effort to help enterprises lower analytics costs.
Materialized views are precomputed, stored results of queries that data warehouses such as Redshift can
Five keys to controlling AI token costs
Import from infoworld.com
October 07, 2026
We spent the last decade building entire finops departments just to decipher what the cloud bill was saying. Just when we figured out how to stop leaving idle compute instances running, generative AI introduced an infinitely more opaque, faster-moving layer of spend.
Cursor writes all my code now
Import from infoworld.com
October 07, 2026
I was at the gym yesterday, talking with a relatively new CrossFitter named John, and naturally he asked me what I do for a living. I said I write software all day. But it hit me—I don’t actually write software anymore. I told him that, nowadays, Cursor writes all my code
Atlassian launches AMP to tackle AI code visibility, attribution
Import from infoworld.com
October 07, 2026
Atlassian today rolled out new offerings designed to make it easier for IT to differentiate coding by AIs from human coding. The problem is that such distinctions in the enterprise today are rarely binary, as much coding has lots of each.
Atlassian’s critical flaw turns eight enterprise products into one big security problem
Import from infoworld.com
October 06, 2026
A newly-disclosed critical flaw in Atlassian’s data center software has a remarkably wide reach, affecting eight core products across the company’s enterprise portfolio.
CVE-2026-21589, rated 9.3 (critical) in severity, is an arbitrary file access vulnerability that cou
ServiceNow takes aim at enterprise AI’s workflow bottleneck with AI Workflow Factory
Import from infoworld.com
October 06, 2026
ServiceNow has launched two AI solutions that can help enterprises identify business processes ripe for automation, build the workflows to address them, and continuously improve them with AI agents.
AI Workflow Factory and Autonomous Engineer, announced on Tuesday, will bri
Don’t buy a consultant’s AI framework
Import from infoworld.com
October 06, 2026
Every major consulting firm offers its own prebuilt architectural framework, model, or reference architecture for generative AI and agentic AI. The pitch is nearly identical from firm to firm: “We’ve done this before, we’ve packaged the patterns, and if you start from ou
Money can’t buy enterprise trust
Import from infoworld.com
October 06, 2026
I thought the AI boom was producing a new level of bad behavior, what with MongoDB CEO CJ Desai peacing out, not to mention Google’s earlier controversial “acquihire” of Windsurf’s executive team. But I was wrong: Money has a long history of hollowing out our ethical n
What cloud infrastructure taught me about building billing systems
Import from infoworld.com
October 05, 2026
For years, I thought of billing as a domain I would have to learn from scratch. Ledgers. Taxes. Proration. Regulations. Money. After 11 years building cloud datacenter management systems, I assumed my infrastructure experience would take me only so far.
Knowing which vulnerability to fix first
Import from infoworld.com
October 05, 2026
Common Vulnerability Scoring System (CVSS) severity tells you how serious a vulnerability could be. Exploit Prediction Scoring System (EPSS) estimates how likely exploitation is in the next 30 days. Neither one, by itself, tells you what your team should fix first.
The Great Consulting Shakeup of 2028
Linkedin
December 28, 2025
Looking at the latest numbers from the largest professional services firms, especially the Big Four, I’m convinced we’re heading toward what I’ll call “The Great Consulting Shakeup of 2028.” The next one to two years will look deceptively good for these firms. After that, the ground drops out from under them—driven almost entirely by AI.
Succeeding with observability in the cloud
InfoWorld
November 19, 2024
In its 2024 report, Splunk breaks down observability practices into four stages: foundational visibility, guided insights, proactive response, and unified workflows. Based on that, it classifies companies into four stages of observability maturity: beginning, emerging, evolving, and leading.
Exploring AI Private Clouds: A Guide for Enterprises Considering Generative AI Solutions
LinkedIn
November 12, 2024
The landscape of artificial intelligence is evolving rapidly, with enterprises increasingly leaning towards generative AI to drive innovation and efficiency. In this context, AI private cloud solutions are emerging as a captivating option, promising enhanced control over sensitive data and tailored deployment capabilities. However, the path to selecting the right private cloud solution is fraught with complexity and often more marketing than reality.
From Architect to Influencer: Navigating the Journey in Cloud Computing Leadership
LinkedIn
November 09, 2024
The journey from being a thought leader to becoming a recognized influencer in cloud computing has been a transformative one, filled with personal growth, professional changes, and a deeper understanding of the evolving landscape of enterprise technology. Over the past decade, my role has shifted significantly from structured corporate environments to adopting a more independent style that allows for broader communication and self-expression.
The Expansion of AI: A Missed Opportunity for Traditional On-Prem Hardware Providers
LinkedIn
November 08, 2024
A seismic shift is underway in the midst of the artificial intelligence revolution, transforming the landscape of enterprise technology. While enterprises are increasingly adopting AI to gain competitive edges and drive innovation, traditional hardware providers, those that sell compute and storage systems for data centers, need to recognize and capitalize on this profound opportunity.
Your Cloud Data Isn’t Really Portable Until You Can Afford to Move It
Linkedin
October 15, 2026
For years, organizations have been encouraged to move aggressively into the public cloud. The promise has been compelling: near-limitless scalability, reduced operational overhead, rapid deployment, global reach, and access to increasingly powerful services for data analytics and artificial intelligence. Much of that promise is real. But there is a cost that too many enterprises fail to model until they are already facing it: the cost of getting their own data back.
Why AI Agents May Be the Most Expensive Mistake Your Company Makes This Year
Linkedin
October 15, 2026
AI agents are everywhere right now. They are being promoted as the next major step in enterprise AI: systems that can automate workflows, make decisions, coordinate tasks, and transform how businesses operate. The excitement is understandable. The problem is that much of the current enthusiasm is moving faster than the business case.
The Collapse of the Software Tollbooth: Why AI Clones Threaten the SaaS Monopoly
Linkedin
October 13, 2026
For the past fifteen years, the enterprise software industry has operated under a financial model that felt almost too good to be true for vendors. We witnessed the wholesale migration from packaged software to Software-as-a-Service, a shift heralded as a win-win for both providers and end users. In the early days, the pitch was reasonable: you no longer needed to maintain on-premises servers, software updates arrived continuously without painful migration cycles, and licensing costs were smoothed into predictable operational expenses.
It's Time to Stop Buying the Consulting Firms' Version of Agentic AI
LinkedIn
October 09, 2026
Agentic AI is being sold to you as the next inevitable enterprise architecture. Autonomous agents, frontier models, orchestration layers, transformation programs measured in the millions of dollars — the consulting reports make it sound like a tide you either ride or get swept away by.
AI Is Forcing a New Conversation About Cloud Economics
Linkedin
October 07, 2026
For years, the enterprise cloud conversation was mostly about speed, scalability, and access to innovation. Public cloud gave companies the ability to provision resources quickly, experiment faster, and avoid the long procurement cycles that defined traditional infrastructure.
The AI Data Center Lie Is Falling Apart
LinkedIn.
October 05, 2026
For the last few years, the AI infrastructure story has been sold as if capacity were just a matter of willpower. If enterprises needed more AI, hyperscalers would build more data centers. If the models got larger, vendors would add more GPUs. If demand accelerated, the cloud would stretch to meet it. That was the narrative, and it was comforting because it allowed business leaders to assume that the physical world would somehow keep pace with the digital one.
Unlocking the Power of the Cloud: Governance, Artificial Intelligence, Risk Management, Value
De Gruyter
November 15, 2025
Unlocking the Power of the Cloud delivers the definitive blueprint for governing in the cloud. Taking a groundbreaking 'business-first' approach, this book reveals how cloud computing creates unprecedented opportunities while fundamentally disrupting every aspect of corporate governance. The authors expose the critical intersection where cloud infrastructure meets AI deployment, showing you how to harness this convergence for competitive advantage.
You will discover how a cloud governance ecosystem accelerates innovation rather than constrains it, manage risks that did not exist five years ago, and turn compliance from a cost center into a strategic differentiator.
An Insider’s Guide to Cloud Computing
Addison-Wesley Professiona
March 10, 2023
Many cloud computing initiatives flat-out fail; others limp along, functioning tolerably without ever delivering what they promised. An Insider's Guide to Cloud Computing reveals why and shows how to do better. Cloud pioneer and long-time CTO David Linthicum explodes the industry's secrets and presents practical ways to optimize cloud for value and performance.
Cloud Computing and SOA Convergence in Your Enterprise: A Step-by-Step Guide
Addison-Wesley
September 29, 2009
Massive, disruptive change is coming to IT as software as a service (SaaS), SOA, mashups, Web 2.0, and cloud computing truly come of age. Now, one of the world’s leading IT innovators explains what it all means—coherently, thoroughly, and authoritatively.
Next Generation Application Integration: From Simple Information to Web Services
AddisonWesley
August 15, 2003
"Linthicum provides an insightful overview of the services-integration issues that will enable you to capitalize on current and future integration technologies. He also dives deep into the key Web services technologies for implementing the next generation integration architecture. Highly recommended for those thinking of moving from traditional EAI to Web services." --Dr. Ravi Kalakota, CEO, E-Business Strategies Author of Services Blueprint: Roadmap for Execution For a majority of businesses, application integration is an outright failure.
B2B Application Integration: e-Business-Enable Your Enterprise
Addison Wesley
January 04, 2001
In B2B Application Integration, noted enterprise application integration expert David Linthicum presents a timely, sophisticated introduction to middleware: the glue that holds today's rapidly changing e-Business IT infrastructures together. This book covers all aspects of e-Business integration, from concepts to technology, helping any IT professional understand how to leverage middleware to achieve business goals.
Enterprise Application Integration
Addison-Wesley
November 12, 1999
Organizations that are able to integrate their applications and data sources have a distinct competitive advantage: strategic utilization of company data and technology for greater efficiency and profit. But IT managers attempting integration face daunting challenges--disparate legacy systems; a hodgepodge of hardware, operating systems, and networking technology; proprietary packaged applications; and more. Enterprise Application Integration (EAI) offers a solution to this increasingly urgent business need. It encompasses technologies that enable business processes and data to speak to one another across applications, integrating many individual systems into a seamless whole. Enterprise Application Integration provides a comprehensive examination of EAI
David Linthicum's Guide to Client/Server and Intranet Development
John Wiley & Sons Inc
May 26, 1997
"Take Linthicum's warnings seriously ...he's been through the fire!"--Rusty Weston, Senior Editor, PC Week. A renowned client/server expert provides state-of-the-art techniques for building client/server and intranet applications. In this valuable guide, client/server guru David Linthicum shows developers how to use cutting-edge development tools and techniques to build real-life business applications. The book provides step-by-step procedures for creating these applications, explains how to select the software and hardware that's right for your projects, and even provides guidelines on estimating project costs
An A to Z tutorial covers basic programming, program control and data structures, structured programming, and object-oriented programming, and discusses higher-level programming topics through version 3.0. Original.
The Death of Microservices?
Youtube
November 19, 2024
In this video, we explore a surprising move made by a major industry leader: transitioning from a microservices architecture to a monolithic system. While microservices are typically celebrated for their flexibility and scalability, they can also introduce significant challenges such as high costs, complex orchestration, and intricate management. Faced with these issues, this company decided to make a bold change.
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Enterprise AI Is About to Get Smaller, Narrower, and Much More Valuable
The Great Consulting Shakeup of 2028
Succeeding with observability in the cloud
Exploring AI Private Clouds: A Guide for Enterprises Considering Generative AI Solutions
From Architect to Influencer: Navigating the Journey in Cloud Computing Leadership
The Expansion of AI: A Missed Opportunity for Traditional On-Prem Hardware Providers
Your Cloud Data Isn’t Really Portable Until You Can Afford to Move It
Why AI Agents May Be the Most Expensive Mistake Your Company Makes This Year
The Collapse of the Software Tollbooth: Why AI Clones Threaten the SaaS Monopoly
It's Time to Stop Buying the Consulting Firms' Version of Agentic AI
AI Is Forcing a New Conversation About Cloud Economics
The AI Data Center Lie Is Falling Apart
An Insider’s Guide to Cloud Computing
Cloud Computing and SOA Convergence in Your Enterprise: A Step-by-Step Guide
Next Generation Application Integration: From Simple Information to Web Services
B2B Application Integration: e-Business-Enable Your Enterprise
Enterprise Application Integration
David Linthicum's Guide to Client/Server and Intranet Development
Using Turbo C++
