The Identity Gap Behind AI Failure

Most AI initiatives stall before they reach customers. Watch Bill Bruno explain why identity decides which ones succeed.

AI has made it impossible to ignore what's missing from customer data. When teams point Claude, ChatGPT, or Copilot at data that can't recognize most visitors, the answers fall apart fast, and the customers who matter most go unseen.

In this video interview from the Enterprise Martech Outlook 2026, Celebrus CEO Bill Bruno sits down with Keanu Taylor, Global Head of Research at The Martech Weekly, for a candid conversation on what it really takes to turn AI ambition into customer-facing results.

What you'll learn:

• The three phases of identity: Why customers who aren't logged in, or never have been, matter more than your authenticated audience
• What AI is exposing: How AI surfaces the hidden work behind every answer, from analyst queues to merged tables
• When agentic AI is ready: Why set-and-forget agents should wait until customers are recognized across every touchpoint
• What real time should mean: How to cut through vendor noise and define it for your business

The fastest way to make your AI deliver:

Every AI, personalization, and decisioning initiative depends on knowing who your customer is. Celebrus captures live, first-party behavioral data and resolves identity from the first interaction, so brands can act on complete customer insight before intent passes.

AI readiness • Identity resolution • Real-time decisioning • Enterprise martech benchmarks

Key findings:

Bill and Keanu's discussion builds on the Enterprise Martech Outlook 2026, which analyzes 417 validated enterprise martech stacks and survey input from 127 brand-side leaders.

• 1 in 10 AI initiatives fully scaled in production
• 40.2% of martech leaders can't demonstrate a measurable financial contribution

Watch the interview to see what it takes to move AI from roadmap to results.