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AI for marketing

In a world transformed by AI, your data is your most valuable asset.

AI for marketing

AI is shaping our collective future. Data-driven marketing is full of promise for AI – it’s where data, technology, and experiences come together.

When done right, AI has the power to enable greater human understanding, connectivity, and expression through customer intelligence, which means better experiences for people and growth for brands.

The question is not “How will you use AI?,” but rather “How will you use AI responsibly?”

Getting started with marketing AI

The AI hype is real, but we’re here to set the record straight.  “Garbage in, garbage out” has never been more true. To work well, AI needs data that is ethically sourced, permissioned, clean, and connected.  

We believe marketing AI differentiation and success will come from customer intelligence, and that requires:

  • Disciplined data hygiene and management 
  • Connected customer data through identity resolution and management
  • Training AI on your own first-party data assets and content
  • Consistent application across your martech infrastructure
  • Focused efforts on data accuracy, security, and compliance 

Above all, we believe marketers have to be willing to test and learn – and the best marketers always have. It’s not just about the latest AI tools, it’s about finding partners with real-life AI expertise to guide you along the way.

Learn more about our Customer Intelligence Cloud and solutions. It’s where good AI starts.

Acxiom marketing AI center of excellence

We’re exploring, experimenting with, and embracing AI.

From how we build our products to how we manage technology to how we create value for our clients – we’re committed to the future of customer intelligence and the value AI can bring. Join us on the journey.

Exploring how AI can help your business grow?

Acxiom marketing AI center of excellence

Exploring how AI can help your business grow? We can help.

Resources

The Latest from Acxiom

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What is a customer intelligence platform?
Customer Intelligence: How well do you understand your customers? 
Financial services and AI: ethical considerations before deploying AI for offer optimization