Starts Tuesday July 8

Summer School: The Future of Data and AI

🧠 Two Tracks – Foundation & Advanced
📅 New content every Tuesday (July 8 – August 5)
📺 Watch whenever, wherever
🎓 Finish summer smarter

Learn, Build, Activate: Your Data & AI Summer Series

Enroll Now

Discover the Future of Data and AI - On Your Own Schedule

This summer, invest in your future with Tealium’s Summer School: The Future of Data & AI. Whether you're just laying your data foundation or ready to activate AI across your tech stack, this 10-part, on-demand webinar series is designed to match your pace. Split into two curated learning paths - one for those building a modern data infrastructure and another for those looking to bring AI to life - you’ll get weekly lessons, real-world use cases, and practical “homework” assets to deepen your knowledge.

Track 1: Building a Data Foundation

A foundation stream for mastering the modern data stack and getting AI-ready.

[Available July 8]

Lesson #1: The role of modern data architecture for the connected experience

What makes a data architecture truly "modern"—and why does it matter more than ever? In this kick-off lesson of the Foundation Track, Tealium’s Mike Anderson and Sav Khetan unpack how customer expectations, real-time connectivity, and composability are redefining how brands must architect their systems. You’ll learn how modern data warehouses like Snowflake fit into the equation, why streaming data and clean tagging are essential for relevance, and how to future-proof your strategy for AI and edge-based experiences.
This first session of Tealium’s Summer School: The Future of Data & AI - Foundation Track, is perfect for anyone looking to lay the groundwork for scalable, intelligent customer experiences.

Top 3 reasons to watch:
- Learn from Tealium's founder about data architecture best practices.
- Understand how to unify fragmented customer data effectively.
- Gain insights into providing personalised, connected experiences at scale.

[Available July 15]

Lesson #2: How to Build a Solid Data Foundation for AI

AI is only as good as the data behind it. In lesson 2 of our Foundation Track, you’ll learn what it takes to establish a strong, scalable data foundation that supports AI across your business. From normalising data inputs to reducing latency and improving consent management, this practical lesson includes a checklist you can apply directly to your tech stack.

Top 3 reasons to watch:
- Gain clarity on key steps to building data maturity.
- Learn how to prevent common pitfalls associated with poor data.
- Understand how effective data foundations accelerate AI adoption.

[Available July 22]

Lesson #3: The Digital Advertiser’s Playbook

Digital advertising is evolving fast and first-party data is now the key to performance. Learn how advertisers are using tools like Conversion APIs, CDPs, and unified IDs to recover lost conversions, connect campaigns across channels, and personalise targeting at scale. Lesson 3 offers a practical framework for improving your ad strategy while preparing your data for AI.

Top 3 reasons to watch:
- Master digital advertising strategies in a privacy-first world.
- Understand practical applications of Conversion APIs.
- Learn from real-world success stories from leading advertisers.

[Available July 29]

Lesson #4: The Big Data Theory in Action - How Vodafone Breaks Silos and Delivers Personalisation at Scale

Vodafone’s data team kicks-off the best practices sessions of our Foundation Track and shares how they broke down silos, unified real-time and historical data, and activated personalised experiences across web, media, and analytics platforms. A compelling example of how to operationalise a CDP and build the organisational structure needed for scalable data use cases and machine learning readiness.

Top 3 reasons to watch:
- Understand how Vodafone successfully implemented CDP technology.
- Learn effective strategies for team collaboration around data.
- Gain insights into achieving scalable personalisation.

[Available August 5]

Lesson #5: Owning Your Data with Rohrman Auto Group, Snowflake & Tealium

What happens when a traditional industry takes control of its data? In this real-world story, Rohrman Auto Group shares how it cleaned, centralised, and activated customer data across Snowflake and Tealium - cutting spend, increasing campaign efficiency, and delivering more relevant customer experiences. The last lesson of our Foundation Track is a must-watch for any team looking to future-proof its data strategy.

Top 3 reasons to watch:
- See real-world benefits of data ownership.
- Discover practical steps to cleanse and activate data.
- Learn about effective data integration strategies with Snowflake.

Track 2: Putting AI into Action

An advanced stream exploring how to activate data with AI, from collection to orchestration and generative use cases.

[Available July 8]

Lesson #1: AIStream™ - Fueling Your AI Ambitions

In this opening session of the Advanced Track, we explore how to turn AI vision into action. Tealium CEO Jeff Lunsford joins Dustin Horning from our Solutions Engineering team to break down the macro forces driving AI adoption, the data challenges holding brands back, and how Tealium’s AIStream™ bridges the gap. With real-world use cases and a forward-looking approach, this session will help you lay the foundation for real-time, privacy-first, AI-powered customer experiences. Part of Tealium’s Summer School: The Future of Data & AI, this session kicks off your journey into bringing AI to life across your organisation.

Top 3 reasons to watch:
- Understand the critical role of data activation for AI effectiveness.
- Gain insights into real-world use cases from leading brands like Samsung and TUI.
- Discover how to operationalise your data foundation for immediate AI impact.

[Available July 15]

Lesson #2: AI for Data Collection - The Data Value Equation

Your AI is only as strong as your data foundation. In this hands-on session, Tealium’s Rob Anderson joins Dustin Horning to walk through the real challenges of data readiness and how to overcome them. Learn why structured, consented, and enriched data is essential for real-time AI activation. Part of Tealium’s Summer School: The Future of Data & AI, this lesson helps you build the connective tissue between data collection and value realisation.

Top 3 reasons to watch:
- Learn how to prepare your data for AI across marketing, IT, and analytics teams.
- Understand common pitfalls in data collection and how to avoid them.
- Discover a framework for designing fast, actionable, privacy-ready data pipelines.

[Available July 22]

Lesson #3: Journey Orchestration with Traditional AI

In this tactical session, you’ll discover how to bring AI into the customer journey. Learn from real-world frameworks that break down the four levels of AI maturity, from rules-based targeting to real-time, model-driven orchestration. Part of Tealium’s Summer School: The Future of Data & AI, this lesson gives you the blueprint for unlocking enterprise ML across your CX touchpoints.

Top 3 reasons to watch:
- Understand how to evolve your AI use cases step by step.
- See how to combine rule logic, propensity scoring, and model outputs.
- Get a framework to benchmark your current AI readiness and map your next move.

[Available July 29]

Lesson #4: Leveling Up Generative AI

In lesson #4 of our Advanced Track, Dustin Horning and Sav Khetan explore how generative AI is transforming customer engagement—from content creation to real-time interaction. With a five-level maturity framework and real use cases from leading brands, you’ll learn how to implement GenAI responsibly, strategically, and effectively. As part of Tealium’s Summer School: The Future of Data & AI, this lesson is your guide to taking GenAI from pilot to performance.

Top 3 reasons to watch:
- Understand the five levels of GenAI maturity and where your brand fits today.
- Learn how to safely implement GenAI with strong guardrails and brand controls.
- See how to provide real-time visitor context to GenAI tools for better output and CX.

[Available August 5]

Lesson #5: AI for the Future - Agentic Intelligence

In this final session of the Advanced Track, Dustin Horning and Zack Wenthe explore the rise of Agentic AI - autonomous systems that can act, adapt, and collaborate across the enterprise. From hyper-personalised co-pilots to autonomous journey orchestration, you’ll see what’s possible when real-time, privacy-compliant customer data fuels intelligent automation. Learn how innovations like Tealium’s Model Context Protocol (MCP) are enabling scalable, secure AI ecosystems and why data governance is key to unlocking the next generation of enterprise AI. Part of Tealium’s Summer School: The Future of Data & AI, this session shows you how to move from automation to autonomy, responsibly.

Top 3 reasons to watch:
- Discover what Agentic AI is and why it’s the next evolution in enterprise intelligence.
- Understand how your data infrastructure must evolve to support AI agents.
- See practical use cases for real-time, autonomous experiences.

Ready to Learn, Build and Activate With Your Data & AI Summer Series?

Enroll now