Data silos across 9 centers diverted staff from client work. Now, an AI platform unifies this data to create hyper-personalized campaigns.
A global marketing communications network serving over 5,000 clients across more than 70 countries through hundreds of individual agencies.
Its legacy infrastructure, spread across nine separate on-premises data centers, created data silos and diverted employee time to managing systems...
“Using the suite of AWS generative AI tools, including Amazon Bedrock, Amazon Bedrock Guardrails, Amazon Sagemaker AI, Amazon Nova, and soon Amazon Bedrock AgentCore, is accelerating our innovation and enabling us to deliver industry-leading real-time insights and campaign planning to our clients around the world, at scale.”
Global marketing and corporate communications holding company.
Cloud computing platform and on-demand infrastructure services.
Omnicom's Personalized advertising is part of this use case:
Related implementations across industries and use cases
Manual ad production took months. Now, teams use AI to predict performance and generate creative in just 5 days.
Social budgets limited creatives to static shots. Layering AI over basic 3D models now turns single frames into complex 1-minute videos.
Fragmented systems bottlenecked model updates. Automated pipelines cut infrastructure work 90% and sped up deployment 20%.
Data silos slowed time-to-market. Now, GenAI matches shoppers to items, boosting recommendation conversions by over 600%.
Manual content creation couldn't keep pace. Now, AI generates compliant, hyper-personalized emails in real time.
HR spent days manually exporting data for multi-currency calculations. Now, they query AI for instant answers without running reports.
Security fears fragmented AI usage. Now, clear guardrails and automated Slack nudges empower teams to accelerate design and code reviews.
Native ad tools optimized for platform metrics, limiting spend efficiency. An AI agent now adjusts live campaigns to meet business goals.
Filming technical demos in-studio slowed market entry. Marketers now use AI to generate multilingual videos without dubbing or reshoots.
Data silos across 9 centers diverted staff from client work. Now, an AI platform unifies this data to create hyper-personalized campaigns.
A global marketing communications network serving over 5,000 clients across more than 70 countries through hundreds of individual agencies.
Its legacy infrastructure, spread across nine separate on-premises data centers, created data silos and diverted employee time to managing systems...
“Using the suite of AWS generative AI tools, including Amazon Bedrock, Amazon Bedrock Guardrails, Amazon Sagemaker AI, Amazon Nova, and soon Amazon Bedrock AgentCore, is accelerating our innovation and enabling us to deliver industry-leading real-time insights and campaign planning to our clients around the world, at scale.”
Global marketing and corporate communications holding company.
Cloud computing platform and on-demand infrastructure services.
Omnicom's Personalized advertising is part of this use case:
Related implementations across industries and use cases
Manual ad production took months. Now, teams use AI to predict performance and generate creative in just 5 days.
Social budgets limited creatives to static shots. Layering AI over basic 3D models now turns single frames into complex 1-minute videos.
Fragmented systems bottlenecked model updates. Automated pipelines cut infrastructure work 90% and sped up deployment 20%.
Data silos slowed time-to-market. Now, GenAI matches shoppers to items, boosting recommendation conversions by over 600%.
Manual content creation couldn't keep pace. Now, AI generates compliant, hyper-personalized emails in real time.
HR spent days manually exporting data for multi-currency calculations. Now, they query AI for instant answers without running reports.
Security fears fragmented AI usage. Now, clear guardrails and automated Slack nudges empower teams to accelerate design and code reviews.
Native ad tools optimized for platform metrics, limiting spend efficiency. An AI agent now adjusts live campaigns to meet business goals.
Filming technical demos in-studio slowed market entry. Marketers now use AI to generate multilingual videos without dubbing or reshoots.