AI Decisioning (AID) For Braze & Snowflake Projects: Where To Start?

AI Decisioning (AID) For Braze & Snowflake Projects: Where To Start?

AI Decisioning (AID) For Braze & Snowflake Projects

Over the past decade at Massive Rocket, we’ve witnessed firsthand the growing importance of AI-Driven Customer Engagement when working with global, multi-brand Braze customers.

We’ve tackled over 200 projects across the globe, often integrating Braze with the likes of Salesforce, Adobe, Microsoft, Snowflake, AWS, Google BigQuery, Segment, mParticle, Tealium, Hightouch, Rudderstack, Census, Amplitude and many others.

What’s in our new AID white paper

  • ✅ Modern Customer Engagement
  • ✅ The AID Opportunity?
  • ✅ Defining AI Decisioning (AID)
  • ✅ How Does AID Work?
  • ✅ Where Does AID live?
  • ✅ What Does Your AID Team Look Like? 
  • ✅ Data Readiness and Integration
  • ✅ How Do You Start Planning?
  • ✅ Getting started with AI Decisioning

Release Note:

This will be a living document. We will be publishing regular updates to this white paper to share use cases and examples from recent projects.

Get The Full AID White Paper

Fill out your details below to request our AID (Snowflake & Braze) white paper.

Fill out your details below to request our AID (Snowflake & Braze) white paper.

Thierry Sequeira
Thierry Sequeira
massiverocket.com/insights

Thierry Sequeira is a seasoned leader in Modern Customer Engagement and Loyalty. With over 20 years of experience, he has driven digital transformation across global enterprises: Emirates Airlines, Telefonica, Mastercard, SEGA and Yum Brands. As CEO of Massive Rocket, his agency has successfully led over 200 Customer Engagement implementations worldwide (US, EU, APAC). Thierry helps accelerate customer loyalty for global brands by helping them get the most out of their first-party data using AI, Braze, Snowflake and the industry's best talent.

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