While enterprise leaders rush to acquire shiny new tools, operations teams hit a sobering reality: AI is an execution accelerator, not a strategy.

Feeding automated agents fragmented or unvalidated customer data simply automates bad decisions at scale. Where a manual error affects a handful of customers, an automated agent running on dirty data can alienate thousands of key clients in seconds.

Because models and platforms are readily available to everyone, software is no longer a differentiator. Your only true competitive moat is the depth, accuracy, and real-time integration of your proprietary first-party data.

Why Attend

Cut through vendor noise and bridge the gap between raw data warehouses and real-time AI activation. Gain insights on:

  • Why most enterprise AI initiatives stall and how to avoid the three primary traps hindering ROI.
  • How to establish validation layers that prevent automated triggers from acting on corrupted data.
  • A practical framework for targeting clear business problems rather than forcing tech onto broken processes.
  • A deep dive into how Digital Alchemy engineered Databricks, Genie Space, and Claude to turn fragmented gym data into a self-optimizing conversational analytics engine.

Who Should Attend

Designed specifically for Data and Marketing Operations Leaders seeking to turn existing data infrastructure into a reliable driver for growth.

Webinar Details

  • Date: November 19, 2026
  • Time: 11:00 am SGT
  • Format: Online
  • Duration: 60 minutes

Stop betting on ‘silver bullet’ AI tools and start building an AI advantage.

Join us to move beyond the theory and see exactly how to bridge the gap between raw data and real-time conversational AI, ensuring you actually survive the pilot phase and deliver measurable ROI.

Register by filling out the form.

Agenda

The Landscape

00-05 min
Exploring how we are using AI today and the gap between adoption and impact.

05-15 min
Breaking down the 95% pilot failure rate. Introducing the 3 core failures:
  1. Tech-first mindset (Shiny Object Syndrome)
  2. Bad Data
  3. Hidden Costs

15-25 min
Cautionary tales. Human vs Machine speed blunders. Outlining the 4-step AI Experiment Trail to align strategy before tech.

25-45 min
Deep dive into Viva Leisure:
Transitioning 490+ clubs from Bronze/Silver/Gold data architecture into conversational AI using Databricks and Claude

45-55 min
Q&A session. Closing thoughts on transformation vs automation and final CTA to focus on data first.

Want to know your marketing automation proficiency?

Take our FREE Automation by Design Assessment!