LIVE: Data and the Future of Customer Engagement
Most AI failures aren't model problems. They're data problems. Watch practitioners from Amazon Music, Tealium, and Dominos share their insights on what it actually takes to make your customer data AI-ready.
Watch On-Demand
Ex- VP, AI Engineering
Head of Marketing & Growth Tech
Global Field CTO
AI in customer engagement is only as smart as the data you feed it. This session cuts through the hype to answer the question most vendors skip: is your data actually ready? Three practitioners who have built and broken real systems share what they've learned - on identity, consent, context, and the moments when humans still need to be in the loop.
AI needs relevant, consented, high-quality context. Without it, more data creates noise, higher costs, and more work for humans - not better outcomes.
When AI is layered onto messy data systems, teams spend more time auditing, correcting, and maintaining outputs than doing strategic work.
Not all customer signals carry equal weight. Strong AI strategy means knowing which signals are durable vs. momentary, deciding when humans should override the model, and taking practical steps now - narrowing inputs, improving consent, and building guardrails that hold.
A quarterly printed and digital magazine for B2C marketing leaders, featuring insights from practitioners at brands like Amazon Music, Calm, FanDuel, T-mobile, Pennymac, and SoundCloud. Subscribers receive all three issues automatically as each one launches.
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