Your data wasn't meant to sit still.

How much AI model power does each customer moment need?

We tested TypeSafe’s Jev + Tealium Functions for routine decisions, bringing in a larger model when uncertain. The test averaged 295ms end to end.

What we learned 👇
okt.to/U1SBGD

Does every customer decision need a frontier LLM (and its bill)?

Tealium Functions + Jev turn live customer context into a next best action in milliseconds.

Available TODAY. No “art of the possible.”

Watch the demo via the @theagile_brand podcast 👇
okt.to/fQsW4i

What happens after a ChatGPT ad click?

Tealium’s new @ChatGPT Ads integrations help connect the dots:

1. Measurement Pixel: Captures website conversions

2. Conversions API (CAPI): Sends server-side conversion signals, including data browser tracking can’t reach

Learn more: okt.to/9yMGnR

So cool! All Tealium EventStream and EDF customers are positioned to incorporate Jev into their data flows TODAY! Tealium helps enterprises future-proof their critical data infrastructure so they can adopt emerging solutions like Jev rapidly and see immediate results. Let's BUILD! tealium.com/blog/artificia…

TypeSafe just launched Jev, a fast, structured judgment model. Feed it context, define the question, get an answer in as little as 70ms. The TLDR on this launch? Speed, low-cost testing at your fingertips.

And Tealium Functions already supports it. Call Jev with data already flowing through your stack, no new integration, write results straight to profile attributes for activation.

okt.to/6JxiIv

Access to five AI models won’t prevent lock-in if one provider controls how you retrieve data, enforce permissions and activate decisions. 🔒

Then switching models can mean rebuilding everything around them. Keep customer context and consent portable.

More in #DataBytes 👇
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The model you choose isn’t the whole story. What does it know about the customer, and can it act on that context in the moment?

Tealium's Global Field CTO traces how the data layer has evolved: from describing what happens on a page to recognizing the person and powering action nds are still somewhere in the middle. The opportunity is to give AI the current customer context it needs to make each interaction more useful.

Watch the full video here 👉 okt.to/cG81xO

Cloud data platforms can’t deliver better outcomes when incoming data is fragmented, delayed, or hard to manage.

This masterclass explores five common friction points and how to build a trusted, real-time collection layer across web, mobile, server-side, and agentic traffic. les for preparing data for stronger media, CRM, personalization, and AI outcomes.

Save your seat!
okt.to/UJOouG 

#OMR #OMRDMC #Tealium #CustomerData

3 competing CDPs. 1 stage.

Tealium's Zack Wenthe joined Treasure AI and Databricks on CMSWire TV to talk about where customer data is headed.

His take: build for whichever AI tool the customer picks, not the one you'd prefer.

Lock in one AI vendor, inherit their roadmap and s://t.co/Prg7Arrlyv

Where does your AI edge actually come from? Not the model. Not the compute. It's context: the business and customer situation that only your organization has, updated in real time.

okt.to/yTo79U

Introducing the Configuration MCP: a governed way for MCP-compatible agents (Claude, ChatGPT, Gemini, whatever your team runs) to create and modify Tealium configurations, audiences, attributes, enrichments, and activation workflows, straight from natural language.

Three more it:

1️⃣ Tealium Studio: natural language inside Tealium. Trace a data flow, understand a config, turn business intent into a proposed change, with review built in before anything goes live.

2️⃣ Developer Portal + Platform APIs: versioned, validated, reversible workflows with account and profile level access controls. Operate Tealium from code, not custom scaffolding.

3️⃣ AI Recommended Audiences, expanded: high value segments surfaced from data already unified in Tealium, with conditions, size, and next best actions. No data science team, no SQL.

The thread connecting all four: agents get real authority to build and modify. Nothing publishes without a human in the loop.

👉 okt.to/oTXmI4

BPCE Financement turned rare customer visits into conversion opportunities with Tealium’s real-time personalization. The results included €70M–€85M in additional digital financing volume in 2025, €11M in Net Banking Income, and digital revolving credit production reaching 72%.
y:
okt.to/D5JWZc

#Personalization #FinServ

Tracking thousands of page views and still don't know your customer? Your brand probably has customer amnesia. 😵‍💫

Our Global Field CTO walks through the 5 stages of data layer maturity, and the exact stage where tracking behavior stops and knowing your customer starts.

Learn in just 15 minutes 👉 okt.to/MfL3or

Most AI projects fail without real-time customer context.

Move from basic chatbots to true Agentic AI with @tealium’s 3-part Masterclass Series:
🤖 Aug 27: What It Takes to Trust AI That Acts
🔗 okt.to/G7qfDN
💡 Sep 9: Why AI Chatbots Fail (Solution Showcase)
🔗 okt.to/LXgDxY
📞 Sep 16: Agentic CX in the Contact Centre
🔗 okt.to/Dh8FaL

Build your blueprint for autonomous, context-driven CX. 👇

Bots now make up roughly 57% of web traffic, and most analytics tools can’t distinguish a campaign visitor from an AI agent comparing prices.

Better filters won’t fix it. Identity and consent must be built into data collection from the start.

okt.to/LF8eSy

How do you personalize marketing across 40+ auto dealerships without burning out your budget? 🏎️

Morgan Auto Group standardized their data layer with @tealium, unlocking a 900% jump in marketable IDs and instant campaign activation.

See how they shifted their data into high jqJxtQI

#MarTech #CDP #AutoRetail #DigitalTransformation

Article 4 of the EU AI Act raises an important question for enterprises: Can you prove the people operating those systems understand their limits?

But for data leaders, there’s an equally important question underneath it: Can you prove what data those systems had access to, d that data to be used for, and what happened to it next?

That’s where AI governance starts to look a lot like data governance.

Read more 👉 okt.to/x8XABC

Learn the fundamentals of firing up a CAPI in under 5 minutes: okt.to/hbDEOw