New AI Integrations in Adobe Experience Platform

Our mission at Adobe Experience Cloud Engineering is to help brands deliver one-to-one personalization in real-timeso that your customers get the right experiencesacross every touchpointat the optimal time in their journey with your brand.

But there are some hurdles: The integration of new technologies into your mar-tech portfolio as they come to market; fragmented customer profiles; the expectation to react real-time to customer signals; increasing trust and privacy requirements; and a growing skills gap — there’s just not enough technical expertise to drive the volume of experiences and campaigns required by digital-first brands.

So that’s where we come in. Five years agowe introduced Adobe Experience Platform (AEP). With Adobe Experience Platformwe unified siloed dataacross digital and enterprise sourcesbuilt unified customer profilesand developed 3 industry-defining apps that sit on top of this rich data layer: Adobe Real-Time CDP (RTCDP) to construct real-time audiences; Adobe Journey Optimizer (AJO) to deliver omni-channel experiences; and Adobe Customer Journey Analytics (CJA) to analyze and measure the impact of these experiences.

We also made sure our new unified customer profiles could also power web personalization in Adobe Targetand marketing automation in Adobe Campaign and Marketo. All this while adhering to enterprise-class trustgovernanceand security.

It’s been quite the rideand the numbers speak for themselves. Thanks to our customers’ trustAdobe Experience Platform now manages 40PB of customer dataand processes 5 billion Edge interactions dailymeaning a customer’s unified profile can be updated when they finish booking for a trip or complete a shopping transaction.

Adobe Experience Platform delivers experiences to customers in less than 100 millisecondsperforming 17 trillion segment evaluations daily and sending 3 billion offers and 400 billion personalized messages every year. And these customers are a “Who’s who?” of the biggest brands and businesses on the planetacross industries as diverse as financial servicesmedia and entertainmentretailhealthcareand technology. All this has made Adobe the number one digital experience platformthe leader.

TodayAdobe Experience Platform-powered enterprises aspire to reach more customersin less timewith higher precision. There are four big questions we consistently hear from these enterprise customers. They want to:

• Accelerate use-cases into production.
• Scale audiencesjourneysand channels.
• Make people in their current roles more efficient.
• Reduce dependency on a small set of experts.

Introducing Adobe Experience Platform AI Assistant

Today at Adobe Summitthe world’s largest Digital Experience conferencewe introduced Adobe Experience PlatformAI Assistant. Think of it as your data guru and analytics maestrobut at the same time it’s a tech support genius and a simulation savant. It can:

• Answer a huge variety of questionsall through a natural language conversational interface. From product “how-tos” to querying the performance of the system.
• Automate tedious taskslike helping ingest datacreate schemaand map fields for the data engineering pipeline. All that fun stuff.
• Simulate outcomesfor example journey performancejourney simulation and audience propensity to convert.
• Generate desired audiences and journeys using simple English language prompts.

Adobe Experience Platform AI Assistant is embedded natively in the apps practitioners already use every day: Adobe Real-Time CDPAdobe Journey Optimizerand Adobe Customer Journey Analytics and we’ve been testing it with select customers the last few monthsand we've been carefully listening to their feedback and compiling learnings:

• There’s boost in productivity. For examplea data engineer in a bank saved time understanding semantics of the data through a simple conversation.
• It democratizes access to Adobe’s sophisticated experience tools. Any member of the team can troubleshoot workflows. An engineerjust onboarded at a regional grocery businessused AI Assistant to understand their data engineering pipeline. No need to call Support.
• Teams can unleash new ideas. A large apparel brand was able to generate hundreds of variants of brand-conforming contentfor email and pushrecord time.

We believe AI Assistant will turbocharge Experience Platform usage across any organizationbenefiting data analystsdata engineersaudience specialistsand journey managersjust to name a few. Cruciallybecause it’s a radically simplified way to experience our softwaremore customer experience pros can “self-serve” and not have to call onsay the expertise of a journey analystto simulate journey outcomes for a campaign they’re working on.

It should be noted that none of this will be forced on our customersand it’s an opt-in decision. If a data engineer wants to keep using Experience Platform apps in the way she’s comfortable withthe AI Assistant will stay out of her way.

Under the hood

Our AI Assistant is powered by generative experience models.

This comprises of:

• LLMs for natural language processing.
• A base model trained on our product documentation and the best practices.
• An opt-in custom model. This is grounded in your enterprise DataProfilesSegments and Journeys. Your IP is safe with Adobe and will never be shared outside your company.
• A set of Decision Services for analyticalpredictiveand goal-based recommendations.
• APIs for programmatic usage across your enterprise workflows and ecosystem.

We’ve built these generative experience models with base models you can trustcustom models that you controland AI assisted applications you use in your everyday work.

Sign up now for all the latest

As experience makerswe invite you to join us and develop the future of customer experience management with this new way of using software. We expect to launch these features as part of a major Adobe Experience Platform release in the next few months. In the meantimeif you want to sign up for an early lookhere’s the link.