Data Axle

Everyone is talking about AI. Far fewer are talking about the data required to make AI work.

The reality: AI is only as effective as the customer data, identity resolution, and audience intelligence behind it. Join our Christy Walsh McGrath and Sumitra Patil as they explore why so many AI initiatives struggle to deliver measurable marketing results and what organizations can do to build a stronger foundation for success. Key topics include:
✓ Unified customer identity
✓ Trusted, high-quality data
✓ Richer customer context
✓ Practical strategies for AI-ready marketing

If you're attending the Gartner Marketing Symposium, be sure to add this session to your agenda.



Organizations are investing heavily in AI, yet many struggle to turn that investment into measurable marketing outcomes.

The reason is often not the AI itself. It's the data foundation behind it.

Without trusted data, unified customer identities, and meaningful customer context, even the most advanced AI initiatives can fall short of expectations.

Join Data Axle and HCLSoftware as our own Christy Walsh McGrath, SVP of Solution Management, joins AI Evangelist Sumitra Patil to discuss why AI projects stall and what leading organizations are doing to build the data-driven foundations that power successful AI strategies.

If you're attending the Gartner Marketing Symposium, this is a conversation you won't want to miss.

Learn more: https://hclsw.co/e78336

HCL Unica+ at Gartner Marketing Symposium/Xpo 2026 Meet HCL Unica+ at Gartner Marketing Symposium/Xpo 2026 in Denver. Discover how to scale AI-powered enterprise marketing with unified customer data.

Most companies don’t have a data problem.
They have a “why does it take 5 days to get an answer?” problem. By the time insights arrive, the opportunity is already gone. SignalFuse™ changes that.
Learn how.

Data Axle SignalFuse AI-powered, real-time intelligence delivered by new Data Axle Signa...

A map can show you where businesses are.
But it won’t tell you what’s missing.

In many communities, the real story isn’t density, it’s disparity:
• Areas with plenty of retail but limited essential services
• Growing populations without nearby healthcare access
• Critical businesses located in high-risk zones

In their latest article, Esri explores how organizations are using location intelligence to uncover these patterns and make smarter, more informed decisions.

👉️ Swipe through for key takeaways 📖

Read the full article.

From maps to meaning: How location-infused business data is redefining strategic decision-making Most business maps look complete. They’re not. The real insights come from what’s missing: underserved populations, hidden demand, or uneven access to services. This is where location-infused business data changes how organizations think—and grow.

Cookies are disappearing. Privacy rules are tightening. Personalization still matters. This guide explains data clean rooms: what they are, how marketers use them, and why they’re critical for privacy-safe collaboration.

Data clean rooms explained for marketers: A complete guide to privacy-safe data collaboration Third-party cookies are fading. Privacy regulations are tightening. But the demand for personalization isn’t going anywhere. That’s why data clean rooms are quickly becoming essential infrastructure for modern marketers. If you’re navigating personalization in a privacy-first world, this guide...