惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

The Register - Security
The Register - Security
P
Privacy International News Feed
月光博客
月光博客
博客园 - 聂微东
Blog — PlanetScale
Blog — PlanetScale
V
Visual Studio Blog
Y
Y Combinator Blog
酷 壳 – CoolShell
酷 壳 – CoolShell
Google DeepMind News
Google DeepMind News
罗磊的独立博客
Vercel News
Vercel News
Last Week in AI
Last Week in AI
A
About on SuperTechFans
P
Proofpoint News Feed
M
MIT News - Artificial intelligence
人人都是产品经理
人人都是产品经理
H
Hackread – Cybersecurity News, Data Breaches, AI and More
博客园_首页
T
Tailwind CSS Blog
GbyAI
GbyAI
S
Schneier on Security
L
LINUX DO - 热门话题
C
CERT Recently Published Vulnerability Notes
AWS News Blog
AWS News Blog
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
The Hacker News
The Hacker News
N
News and Events Feed by Topic
云风的 BLOG
云风的 BLOG
博客园 - 【当耐特】
C
Cybersecurity and Infrastructure Security Agency CISA
I
Intezer
V2EX - 技术
V2EX - 技术
The GitHub Blog
The GitHub Blog
Scott Helme
Scott Helme
V
V2EX
IT之家
IT之家
S
SegmentFault 最新的问题
爱范儿
爱范儿
L
LangChain Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
MongoDB | Blog
MongoDB | Blog
S
Security Affairs
Security Latest
Security Latest
T
The Blog of Author Tim Ferriss
P
Proofpoint News Feed
S
Secure Thoughts
MyScale Blog
MyScale Blog
F
Fortinet All Blogs
Hugging Face - Blog
Hugging Face - Blog
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed

Forbes - CIO Network

Ralliant’s Amir Kazmi On Wiring AI Into Critical Infrastructure Nvidia Buys Kumo AI To Bring AI Predictions To Business Data Anthropic's Fable 5 AI Model Offers More Power At A Higher Price Argentina Wants To Let AI Own Companies. Here’s What That Means The AI Conversation CEOs Are Not Having Out Loud Moneyball Meets AI: How The New York Jets Are Charting An AI Future How Anthropic, OpenAI and Nvidia Are Driving the AI Economy Wall Street Is About To Test AI's Trillion-Dollar Valuations The VPN Risk Too Many Companies Ignore The Agentic Enterprise Got A Major Upgrade This Summer. OpenAI, Anthropic And The $1 Trillion Question: Who Really Wins From AI? Trump's AI Evaluations Order: Right Policy, Unfinished Governance Trump's AI Order Creates A New Test For Frontier AI—And Public Trust Microsoft Build 2026 Reveals the Future of AI, Data and ERP Artificial Intelligence Positioned To Disrupt $5 Trillion Industry Healthcare CIOs Should Take Note Of Copilot Health Innovation At The Pace Of AI Requires A Different Corporate Metabolism How Expedia Is Reinventing Travel Through AI And Agentic Design The AI Risks CISOs Aren’t Talking About Enough Prat Vemana On Leading Technology, Product And AI Innovation At Target AI Spurs A Cultural Shift In A 1,000-Developer Insurance Company 4 AI Strategy Questions Every Executive Needs To Drive ROI Building A Retail Platform Across Iconic American Brands Why AI Likely Means More Work For Humans AI Flattening Organizations Is The Latest Chapter In A Continuing Story OpenAI And Anthropic Are Testing Two Very Different AI Business Models Why Nvidia Needs More Than GPUs To Win The AI Infrastructure Race Google Wants Gemini To Become The Operating Layer For AI Tokenomics 101: Cost Of Getting Work Done (Not The Cost Of Tokens). AI Security Threats Coming From Outside And Inside, And Few Are Ready The AI Trade Is Moving Beyond GPUs AI Turns Solo Workers Into Departments And VCs Are Paying Attention Employee’s AI Shortcut Triggers SEC Filing — Boards, Take Note Transforming Wealth Management Using AI At Citi Uber Burns Its 2026 AI Budget In Four Months On Claude Code The Cyber Resilience Standard Every Hospital CIO Must Meet AI Layoffs Are A Substitute For A Strategy The Last Competitive Advantage In Software Isn't Software Knowledge Management, The Tech World’s Step Child, May Be AI’s Salvation The AI Governance Talent Gap Is Smaller Than It Looks Capgemini Warns CEOs: Physical AI Can No Longer Be Ignored AI Opens Work Opportunities — We Just Can’t Imagine Them Yet Friendly Chatbots Make More Mistakes — And Annoy Your Customers More From Information Provider To AI Partner: Thomson Reuters’ Next Chapter AI Is Breaking Silicon Valley’s Global Playbook AI’s Data Surge Demands Action In A New Battle Over Creator Rights AI Transformation Of An Internet Era Success: The SurveyMonkey Story Could The Musk V. Altman Trial Change The AI Race? At Least 18% of Jobs Face Major AI Risk, OpenAI Economist Predicts As Musk Takes OpenAI To Court, Its $130 Billion Philanthropy Bet Faces A Trial OpenAI Publishes 5 Principles For Its AGI Push How Hearst Is Using Data And AI To Transform A 140-Year-Old Business 6 Employee Critiques About Their Companies’ AI Practices AI Boosts Productivity — And Fears Of Layoffs, Anthropic Study Finds How Mythos’ Vulnerability Apocalypse Will Play Out Alleged Claude Mythos Breach Raises Questions About AI Security Consumers Warm Up To AI, Will Trust Follow? Stop Cleaning Your Data. Start Finding The Signal. Architecture: A Question At The Core Of AI In The Enterprise Why Healthcare AI Still Struggles To Deliver QClaw Goes Global. The Agent Built Itself In 5 Days Apple’s Tim Cook Exit Hides A $4 Trillion Agentic AI Power Move AI’s Missing Link Is Accountability Can A Startup Turn Night Into Day Using Space Mirrors? Why Sam Altman’s Warning About A Big Cyberattack In 2026 Is Overblown Most Employees Are Learning AI By Osmosis These Days OpenAI GPT-5.4-Cyber — The Security Of Tomorrow Or A PR Response To Claude Mythos? UF Health Names Healthcare Vet Craig Richardville As New Tech Leader Allbirds Ran Toward AI And The Stock Surged 800% Lisa Davis Is Doing Something About Being The Only Woman In The Room AI May Be Running Out Of Data, Stanford Report Warns Is The Cult Of ‘Tokenmaxxing’Just Another Fad Or The New Normal? Inside Syngenta’s AI Driven Approach To Modern Agriculture Forget Bigger Models, Neuromorphic AI Thinks Like A Human Brain CoreWeave Becomes AI's Landlord With Meta And Anthropic Deals AI Slop Is Real. Your Adoption Strategy May Be Making It Worse. Cloud Investments Not Keeping Up With AI With AI, Job Searches And Recruiting May Be Less Onerous, Hopefully The One AI Question Boards Should Stop Asking Their CEOs Turner Construction Appoints Former GE Aerospace Exec As CIO Ignore The Doom Talk: AI’s Real Value Only Arises When Humans Step Up China’s Grassroots OpenClaw Is Rewriting The Global Agentic AI Race Anthropic–Pentagon Dispute Brings A Turning Point For The AI Industry AI Delivering Value And ROI, But Think Twice Before You Cut March 31 Is World Backup Day. Here’s How To Protect Your Data Now AI Doesn’t Fix Systems — It Exposes Them The Healthcare Rule CIOs Shouldn’t Overlook AI: The Cybersecurity Crisis That Vendors Love Where Digital And Robot-Based AI Agents Now Prevail Quantum Computing’s Next Major Breakthrough May Come From Australia 6 Ways To Rise Above An Increasingly AI-Saturated World The Real Shift Is Not AI Tools. It Is Workflow Ownership We Trust AI Over Our Own Brains, Research Finds Pravina Ladva On How Swiss Re Uses Data And AI To Build Resilience We’re Still Only Seeing AI’s First-Order Effects, Former Tesla Head States Why China Is Winning The Open Source AI Race AI Doesn’t Own The Customer Yet. Here’s How Retailers Can Keep It That Way Shobhit Varshney Of Citi On Scaling AI With Purpose And Discipline How AI Is Transforming Patient Health At Genentech Agentic AI Reshapes Nvidia Strategy Beyond GPUs At GTC
Rewiring Omnicom’s Operating Model For AI At Scale
Peter High · 2026-05-27 · via Forbes - CIO Network
Publicis-Omnicom Deal Sees Levy Oust Adland King Sorrell

Omnicom trading on the NYSE

© 2013 Bloomberg Finance LP

Omnicom is undergoing a fundamental transformation, one that extends well beyond technology into how the company operates, collaborates and delivers value to clients. As one of the world’s largest marketing and communications holding companies, Omnicom generates approximately $25.5 billion in annual revenue and operates in more than 70 countries. Historically, its strength has come from a vast network of agencies spanning advertising, public relations, media, healthcare and experiential marketing. Today, however, that model is evolving.

Global Chief Information Officer Craig Cuyar is driving this shift. He describes the company’s journey as a move from a holding company to a more integrated operating enterprise. Rather than functioning as a loose federation of agencies, Omnicom is increasingly coordinating capabilities across the organization, enabling more seamless delivery of services to global clients.

Rebalancing Centralization and Autonomy

A key element of this transformation is the rebalancing of centralization and autonomy. Omnicom has invested in shared service capabilities and global platforms while maintaining specialized expertise within its business lines. Each major division, including media, advertising, PR and healthcare, is supported by a dedicated technology leader aligned to the broader enterprise.

Omnicom CIO Craig Cuyar

Omnicom

This structure allows the company to standardize core systems and processes while tailoring solutions to the distinct needs of each segment. Cuyar notes that this model has evolved over several years, enabling the organization to focus more on business-facing innovation. By centralizing non-differentiating capabilities and leveraging outsourcing partners for areas such as infrastructure, Omnicom can redirect resources toward proprietary platforms and client-facing technologies.

“Clients are not choosing us because of our data center strategy,” Cuyar explains. “They are choosing us because of the differentiation we bring to the market.”

Integration as a Catalyst for Transformation

The company’s acquisition of Interpublic Group, completed in late 2025, has accelerated this transformation. While the integration process is complex, involving dozens of initiatives across cybersecurity, data and systems, it also presents a significant opportunity to unify and scale capabilities.

The combined organization has access to a larger and richer pool of first-party data, which can be integrated with Omnicom’s existing platforms. This creates the potential for a more comprehensive, end-to-end view of the customer journey, from campaign ideation through execution and final conversion. By connecting these stages, Omnicom can deliver more precise targeting and improved performance measurement.

Focusing on What Differentiates

At the same time, Omnicom is making deliberate choices about where to invest its resources. The company has expanded its use of outsourcing for infrastructure and other non-core functions, reflecting a broader shift in how technology organizations think about competitive advantage.

Cuyar emphasizes that differentiation lies not in commodity IT capabilities, but in the company’s ability to deliver data-driven marketing solutions. By outsourcing non-differentiating activities to partners with greater scale, Omnicom can reinvest its capital and talent into areas that directly impact client outcomes. This approach allows the organization to focus on building proprietary platforms and advancing its data and analytics capabilities.

AI as a Force Multiplier

Artificial intelligence is central to Omnicom’s strategy, serving as a force multiplier across its operations. The company has long used machine learning for predictive analytics and audience targeting, but advances in generative and agentic AI are expanding the scope of what is possible.

Cuyar describes an increasingly integrated workflow in which AI supports every stage of the marketing process. From defining target audiences and generating creative concepts to producing content, testing variations and optimizing performance, AI enables a continuous feedback loop that improves outcomes over time.

This end-to-end application of AI allows Omnicom to deliver more personalized and effective campaigns at scale. It also underscores the importance of a unified data foundation, as the effectiveness of AI depends on the quality and accessibility of underlying data.

Driving Adoption Through Education

To ensure these capabilities are fully realized, Omnicom has invested heavily in workforce enablement. The company has developed structured training programs tailored to different roles, helping employees understand how to apply AI in their daily work.

Within the technology organization, training is mandatory and integrated into performance objectives. All team members are expected to develop a baseline understanding of AI tools, enabling them to act as resources across the enterprise. For the broader workforce, training is role-specific, allowing employees to see how AI enhances their existing workflows.

Cuyar notes that the impact of AI varies across the organization, with some roles experiencing incremental gains and others undergoing more significant transformation. By addressing these differences, Omnicom aims to embed AI into workflows in a way that enhances productivity and effectiveness.

The Expanding Role of the CIO

For Cuyar, the changes underway at Omnicom reflect a broader evolution in the role of the CIO. Earlier in his career, technology was often viewed as a separate function. Today, it is central to nearly every aspect of organizational performance.

“Every organization today is a technology company that does a little bit of something else,” he says.

As Omnicom continues its transformation, the combination of scale, data and AI will be critical to its success. By rethinking its operating model and focusing on differentiation, the company is positioning itself to deliver more integrated, data-driven solutions in an increasingly competitive market.

Peter High is President of Metis Strategy, a business and IT advisory firm. He has written three bestselling books, including his latest Getting to Nimble. He also moderates the Technovation podcast series and speaks at conferences around the world. Follow him on X @PeterAHigh.