12:00 PM EDT - Wednesday, Aug 5
Opening Keynote [WF900]
Opening Keynote
Grow Track: Driving End‑User Adoption: Change Management Best Practices for Real Impact [WF201]
Struggling to turn new technology launches into lasting user adoption? Learn practical, human‑centered change management strategies that drive real results. Discover how to engage end users early, tailor adoption tactics by persona, leverage adoption surveys as listening tools, and communicate value in ways that accelerate behavior change.
Gain clear, repeatable tactics to move from launch to sustained usage and meaningful transformation—applicable across industries and digital initiatives.
Key Takeaways:
Learn Track: Build for the Bot: Designing Workfront for Automation & AI [WF101]
Most teams design Workfront for today’s users not tomorrow’s automation. This session challenges that mindset by showing how a shift in design thinking can unlock new ways of working. This session is ideal for Workfront admins, process owners, and leaders.
At my last company, a Fortune 500 homebuilder, this approach saved about 1,600 hours last year through automation, AI, and process redesign. Learn how to design Workfront with an automation-first approach, where workflows, data, and processes are built to take advantage of Fusion and AI. We’ll explore how to uncover inefficiencies, reduce manual work, and capture the right data upfront, because automation, AI, and conversational experiences are only as good as the data behind them.
Strong data and automation are the foundation for efficiency, but the real opportunity goes beyond time savings and lies in reimagining how work should happen. We’ll review a simple framework to evaluate setup, identify automation opportunities, and make Workfront easier to scale.
Key Takeaways:
1:00 PM EDT - Wednesday, Aug 5
Grow Track: Your New AI Teammate: Mastering Workfront's Brand Reviewer [WF202]
Content is scaling fast — brand consistency shouldn't suffer for it. Adobe Workfront's AI Collaborators let you add AI agents directly into your workflows as permissioned team members. In this session, we'll focus on the Content Reviewer: how to set it up, how to use it well, and what to watch out for.
You'll learn how to configure and assign a Reviewer, build brand guidelines that drive quality feedback, and design multi-stage approvals with a clear naming taxonomy that keeps everything organized as you scale. We'll also cover prerequisites and current limitations so you can plan your rollout with confidence.
Key Takeaways:
• How to create and configure a Brand Reviewer from scratch and integrate it into your approval workflows
• Best practices for multi-stage approval design and a naming scheme that scales with your team
• Key prerequisites, caveats, and the real-world value the Content Reviewer brings to your content supply chain
Learn Track: Streamlining Planning With Workfront AI: From Spreadsheets to Smart Workspaces [WF102]
Workfront Planning’s new AI Agent unlocks a faster, more intuitive way for teams to turn scattered planning documents into structured, actionable workspaces.
This session will demonstrate how anyone from admins and power users to project and resource managers can use AI to transform existing Excel files, Smartsheets, Word documents, and other business artifacts into organized plans that accelerate alignment and execution. We’ll walk through real examples from event, campaign, and product planning to show how the AI Agent interprets inputs, recommends structure, and auto‑generates taxonomies and values. The session will also highlight how Workfront Planning connects with Workfront Workflow to report on the Planning Workspace.
Key Takeaways:
Grow Track: Building Strong Links for Your Content Supply Chain with Adobe Solutions [WF203]
Tired of manual processes and disconnected tools slowing down your content operations? Learn how OneAmerica Financial established a robust content supply chain by leveraging Workfront, AEM, and Fusion. Starting with a solid foundation in Workfront, the team identified integration opportunities and eliminated manual work through Fusion automation. Discover how persistence and smart use of Adobe products led to a more consistent, efficient workflow—enabling future planning and continuous improvement.
You will learn how to:
• Implement and optimize Workfront for portfolio, project, and program management
• Integrate Workfront with AEM, including mapping metadata, schemas, and automating asset review and replacement
• Use Fusion automation to streamline asset expiration workflows, approvals, and compliance
This session is for admins, leaders, and MarTech professionals seeking to build and automate a scalable content supply chain with Adobe tools.
Learn Track: Workfront Reporting Hidden Gems: 10 Tips That Will Save Time and Impress Leadership [WF103]
Tracking productivity, costs, cycle time, compliance, resourcing, and general visibility are common business outcomes you want from Workfront. However, these outcomes are all ethereal unless you can report on them!
Luckily Workfront excels with all these levers. Come learn how you can create and mine the data in your Workfront instance to drive positive outcomes in all areas and look great to your leadership while you do it. This session will provide practical tips tailored for Data Analysts, System Admins, Group Admins, and Reporting Specialists who are responsible for creating, managing, and reporting on Workfront data.
Key Takeaways:
2:00 PM EDT - Wednesday, Aug 5
Grow Track: Workfront Architecture: Planning, Fusion, and Workflow for Enterprise Scale [WF204]
Ready to elevate Workfront from a project tool to a high-performance engine of innovation? Discover practical architectural strategies that enable growth, organizational change, and enterprise scale. Learn how to position Planning as your decision layer, Workflow as your execution engine, and Fusion as the orchestration layer to connect systems and build a cohesive content supply chain. Explore core Workfront objects, unified taxonomy, and multi-solution workflows that drive automation, leadership visibility, and intelligent insights. Equip yourself with actionable strategies and reusable templates to architect Workfront for scale.
Key Takeaways:
• Structure Workfront with unified taxonomy, custom forms, and fields for consistency and collaboration
• Use Planning, Workflow, and Fusion to automate processes and connect enterprise systems
• Build dashboards and leverage native Fusion modules for intelligent insights and orchestration
This session is for admins, power users, executive sponsors, and leaders seeking to architect Workfront for scalable growth and innovation.
Learn Track: Mastering Workfront Admin Basics: Tips To Accelerate Your Onboarding [WF104]
Feeling overwhelmed about where to start with Adobe Workfront? Whether you’re a Project Manager, an Application Owner, or a Systems Administrator, you’re not alone, I’ve been there too.
In this session, you’ll learn the foundational steps to set you up for success, both within the platform and across the broader Workfront ecosystem. I’ll share the key ingredients that helped me successfully navigate change management, build trust, and foster true Workfront champions across teams and departments.
I’ll walk you through my wins, my missteps, and the many teachable moments that shaped my journey mastering the Workfront Admin basics. I still have plenty more to learn, but I’m excited to pass along everything I’ve discovered so far.
Key Takeaways:
Closing Keynote [WFEXL]
Closing Keynote
12:00 PM EDT - Thursday, Aug 6
Opening Keynote [AEP900]
Opening Keynote
One Platform, One Customer [AEPCJ1]
Data engineers own Adobe Experience Platform. Marketing Operations owns Real-Time CDP. Journey teams own Journey Optimizer. Analytics owns Customer Journey Analytics. The result is the same customer, seen four different ways, never fully understood by any of them. This session tells a different story.
Join us behind-the-scenes with Adobe Experience Platform Champions Gowtami Mohanty, and Ashwin Chadaga from Vanguard who will explore what it actually looks like when these products function as a single, coordinated system rather than a collection of point solutions. We will follow one customer signal from the moment it enters the platform, through identity resolution and profile unification in Adobe Experience Platform, into audience qualification and activation in Real-Time CDP, across a personalized journey triggered in Journey Optimizer, and back into Customer Journey Analytics for measurement and optimization.
A real implementation, a real use case, and the honest lessons that came from building it.
You will walk away knowing how to:
One Platform, One Customer [AEPCJ2]
Data engineers own Adobe Experience Platform. Marketing Operations owns Real-Time CDP. Journey teams own Journey Optimizer. Analytics owns Customer Journey Analytics. The result is the same customer, seen four different ways, never fully understood by any of them. This session tells a different story.
Join us behind-the-scenes with Adobe Experience Platform Champions Gowtami Mohanty, and Ashwin Chadaga from Vanguard who will explore what it actually looks like when these products function as a single, coordinated system rather than a collection of point solutions. We will follow one customer signal from the moment it enters the platform, through identity resolution and profile unification in Adobe Experience Platform, into audience qualification and activation in Real-Time CDP, across a personalized journey triggered in Journey Optimizer, and back into Customer Journey Analytics for measurement and optimization.
A real implementation, a real use case, and the honest lessons that came from building it.
You will walk away knowing how to:
Governing at Scale: Building a Trustworthy Data Foundation [AEP101]
Data governance isn't a checkbox — it's the infrastructure that makes every downstream experience possible. Without clear policies, enforced labels, and auditable controls, even the most sophisticated Adobe Experience Platform implementation becomes a liability.
Join this session to learn how to architect a governance framework inside Adobe Experience Platform that protects sensitive data, ensures regulatory compliance, and builds the organizational trust needed to activate data confidently across Adobe Real-Time CDP and Adobe Journey Optimizer.
You'll walk away knowing how to operationalize governance — not just configure it.
During this session you will learn how to:
1:00 PM EDT - Thursday, Aug 6
From Insight to Impact: Building a Next-Generation Experimentation Program [CJA202]
Most organizations treat personalization as a campaign tactic. The ones seeing real results treat it as a system — where data, audiences, and measurement are designed to work together from the start.
Drawing on a background in statistics and experimentation, Abdul Jomaa shows how Adobe Real-Time CDP, Customer Journey Analytics, and Adobe Target function as an integrated loop: define the right audiences, deliver the right experience, measure the right outcomes, and refine. You'll leave with a practical blueprint for making testing more intelligent and results more defensible.
In this session, you will:
Whether you're just connecting your analytics and activation layers or maturing an existing program, this session gives you a clear path forward.
Calling the Right Plays with Intelligent Journeys [AEP102]
The marketing industry is shifting from isolated campaigns to intelligent, signal-driven systems — and the teams winning are the ones designing for it. This session draws on a football metaphor to frame how Adobe Journey Optimizer and artificial intelligence work together as a real-time decisioning and orchestration engine.
Two key use cases bring the playbook to life. AI runs through both examples as a force multiplier — analyzing signals, predicting churn, generating variants, and creating feedback loops that make the system smarter over time.
Key Takeaways:
Understanding Your Data Journey: From AEP to CJA [CJA201]
Ever pulled a report in Customer Journey Analytics and thought, “Why don’t these numbers match my source data?” You’re not alone, and the answer usually isn’t obvious.
In this session, we’ll follow the full data journey from Adobe Experience Platform ingestion into Customer Journey Analytics Connections, and finally into Data Views. Along the way, we’ll highlight the most common points where data gets filtered, reshaped, or lost -- and how to systematically troubleshoot each stage.
You’ll leave with a practical framework for validating your data pipeline, identifying discrepancies, and restoring trust in your reporting.
2:00 PM EDT - Thursday, Aug 6
Experience Makers Spotlight [CJA203]
Building Trusted Foundations for Customer Journey Analytics
Join Disha Gupta and Josh Stephens for a practical deep dive into building scalable, trusted reporting in Adobe Customer Journey Analytics. Many organizations struggle with inconsistent metrics, identity stitching challenges, and complex data views that reduce confidence in reporting and slow decision-making.
In this session, attendees will learn how foundational Adobe Experience Platform decisions — including schemas, datasets, identities, and connections — directly impact reporting quality and governance within Customer Journey Analytics. The session will also explore how effective data view management and derived fields can simplify analysis, improve usability, and unlock new business insights.
Through real-world implementation lessons and best practices, Disha and Josh will share practical approaches for troubleshooting reporting discrepancies, validating data before it reaches stakeholders, and building scalable frameworks that support long-term business trust in analytics.
Attendees will leave with actionable strategies to improve reporting consistency, governance, and insight generation across their Customer Journey Analytics ecosystem.
Experience Makers Spotlight [AEP103]
Building an Intelligent Activation Layer and Orchestration Drives Results [AEP103]
Join this session and address two challenges: architecting an intelligent activation layer, then acting on it in real time.
The first spotlight explores practical implementation patterns for building a more scalable and intelligent activation architecture using Adobe Experience Platform alongside the enterprise data warehouse. Learn how composable and federated approaches can help organizations separate analytical processing from activation-ready data while still enabling real-time personalization across channels.
In the second spotlight, you will learn how to automate a personalized re-engagement journey using Journey Optimizer. It will also cover how to utilize external availability APIs and configure unitary event triggers to detect friction as it happens.
Key Takeaways:
Closing Keynote [AEPEXL]
Closing Keynote
9:00 AM EDT - Tuesday, Aug 11
Opening Keynote [COM900]
Opening Keynote
Adobe Commerce B2B Excellence: Maximizing ROI and Driving Personalized B2B Buying Journeys [COM101]
B2B buyers expect the speed and convenience of B2C experiences, yet operate within far more complex realities: customer-specific pricing, shared catalogs, negotiated quotes, buyer roles, requisition lists, and multi-step approval processes. Too often, organizations default to heavy custom development, increasing technical debt and slowing time-to-value.
This session will demonstrate how to deliver powerful self-service B2B experiences using Adobe Commerce capabilities, without over-customizing. We will provide a practical framework to directly map complex enterprise requirements to out-of-the-box functionality. Grounded in real-world experience, we'll showcase how MANN+HUMMEL, a global filtration solutions leader, leverages Adobe Commerce B2B features across their webshops, with a focused look at measurable business impact.
Key Takeaways:
Attendees will gain practical, implementation-level insights into how these features are configured and used in production so that they can apply them to their own B2B storefronts to accelerate adoption, enable self-service buying, and maintain a clean, scalable commerce foundation, with insights from peers who are already doing it successfully.
10:00 AM EDT - Tuesday, Aug 11
Security, Stability & Risk Mitigation for Modern Commerce Operations [COM102]
Modern commerce operations are increasingly complex, and many stability and security challenges stem not from platform limitations, but from avoidable operational risk. This session explores how Adobe Commerce practitioners can strengthen platform resilience and reduce day-to-day risk, without relying on heavy customization.
Drawing from real-world multi-store experience, this session will cover proactive platform stability through health checks and infrastructure right-sizing, risk mitigation through disciplined store scope management and operational governance, and a real-world bot attack example, diving into how unusual traffic was detected, validated using New Relic, and ultimately mitigated for the future.
Key Takeaways:
Attendees will leave this session with practical, immediately actionable steps to improve platform stability, lower operational risk, and support long‑term growth using Adobe Commerce.
From PaaS to SaaS: Insights from Adobe Commerce as a Cloud Service Implementation [COM103]
Moving from Adobe Commerce PaaS to Adobe Commerce as a Cloud Service (ACCS) is often seen as a high risk, heavy-lift initiative, especially for teams operating complex commerce platforms. This session brings clarity through firsthand experience launching one of the first Adobe Commerce SaaS environments in EMEA, marking a strategic shift away from traditional PaaS development.
We'll share real-world lessons from this migration: how the transition unfolded, what changed for development teams post-launch, and which new architectural and workflow patterns emerged once extensibility moved outside the core platform. Rather than focusing on theory, this session highlights what changed after go-live: what worked and what we would do differently.
Key Takeaways:
Attendees will leave this session with a grounded perspective on how to reduce risk, minimize customization, and consider ACCS implementation with confidence, backed by experience driven best practices.
11:00 AM EDT - Tuesday, Aug 11
Closing Keynote [COEXL]
Closing Keynote
12:00 PM EDT - Tuesday, Aug 11
Opening Keynote [AA900]
Opening Keynote
Processing Stacks! [AA101]
Tag your tagging was only one piece of the analytics health puzzle. Processing rules are an often-overlooked mechanism that can quietly overlap and conflict with one another, and cleaning up or debugging them can feel overwhelming. Building on our Summit recap of "Tag Your Tagging," this session introduces the "Processing Rule Stack": a repeatable pattern for combining multiple processing rules into one concatenated list variable so every rule that fires on a hit is captured together instead of overwriting one another. Walk through configuring the stack in Report Suite Manager, using it to build living, in-tool documentation of rule usage, speeding up debugging when values don't match expectations, and monitoring the stack over time to catch outdated or duplicate rules before they cause confusion.
Key Takeaways:
1:00 PM EDT - Tuesday, Aug 11
Eliminate the Routine Manual Work: Automate your Projects by Sharing and Scheduling [AA102]
Manually rebuilding the same dashboard for every stakeholder doesn't scale, and mismatched expectations, like some stakeholders wanting live dashboards while others just want a PDF, only add to the workload. Adobe Analytics gives you three complementary ways to get insights into the right hands: share Workspace projects for live, collaborative access with Edit, Edit copy, or Read-only roles; send a project once by email when someone just needs the result; and schedule recurring PDF or CSV deliveries so reports show up automatically. This session compares all three, shows how to match report format and access level to each audience, and covers governance practices, like curating projects and reviewing schedules regularly, that keep your reporting environment clean as it scales.
Key Takeaways:
Unlocking Hidden Gems in Adobe Analysis Workspace [AA103]
You don't need a complex implementation to get meaningful insights from Adobe Analytics. This session highlights out-of-the-box dimensions and metrics that already exist in most Workspace implementations but are easy to overlook, like Hit Depth, Visit Depth, Visit Number, Customer Loyalty, and Days Since/Before dimensions. Through real use cases, see how to spot unusual purchase behavior, find patterns in suspicious traffic, tell hit-level and visit-level engagement apart, and use Adobe's built-in bot filtering fields to clean up reporting, no extra tagging or setup required. Perfect for beginners or anyone looking to get more value from data you're already collecting.
Key Takeaways:
2:00 PM EDT - Tuesday, Aug 11
Experience Makers Spotlight [AA104]
This session features two spotlights on getting acquisition and referral data right in Adobe Analytics as AI reshapes how people discover your brand. The first spotlight, from Isha Gupta (S&P Global Ratings), moves beyond basic "Referrer Type = Conversational AI" classification to build a multi-dimensional segment capturing native AI referrers, mobile app chatbot traffic via UTM parameters, and unlisted AI vendors caught through domain-suffix rules. The second spotlight, from Vinay Singh Chauhan (HPE), tackles Marketing Channel configuration and last-touch attribution: how processing rule order silently reshapes channel reports, how to build a channel framework using Channel Manager, processing rules, and campaign parameters that holds up over time, plus a five-point audit for your own setup.
Key Takeaways:
Closing Keynote [AAEXL]
Closing Keynote
10:00 AM EDT - Wednesday, Aug 12
Opening Keynote [ME900]
Opening Keynote
Unlock Marketo Engage Email Designer: Your migration playbook [ME101]
Is your legacy email setup limiting your Marketing Ops team, or are you ready for a scalable reset? Migrating to the Marketo Engage Email Designer is more than a UI upgrade. It’s a shift from custom-coded templates to a component-based system built for scale and AI-driven workflows.
In this session, we cover key migration triggers and share a proven four-phase framework to guide your transition. Learn how to translate complex legacy logic into reusable components that support faster execution and AI-assisted content creation.
Hear from KSB SE & Co. KGaA on their migration journey and how they managed complexity while maintaining governance in a global enterprise environment. Walk away with a practical roadmap to modernize your email strategy, empower marketers to build independently, and ensure the reliability that world-class operations demand.
Key Takeaways:
11:00 AM EDT - Wednesday, Aug 12
Build a scalable Marketo Engage data model: Custom Objects and CRM Strategy [ME102]
Most Marketo Engage practitioners inherit an instance—along with its architectural decisions. But as your business evolves, those decisions may no longer scale.
This session shows how to evaluate when your data model needs a redesign and how to build a scalable data foundation that supports long-term growth. We’ll break down the strategic decisions of using standard fields, Custom Objects, and Custom Activities, and how to align your Marketo Engage data model with CRM without creating technical debt.
You’ll also learn to distinguish the use cases between Marketo Engage and CRM Custom Objects, and the business outcomes they enable.
Walk away with a clear framework to support better segmentation, reporting, and automation at scale. While examples focus on Salesforce, these strategies apply broadly across CRM systems.
Key Takeaways:
Is your Marketo Engage instance ready for AI? [ME103]
AI capabilities in Marketo Engage are advancing quickly—but most instances aren’t ready to support them. Messy data, inconsistent naming, duplicated programs, and ungoverned templates don’t just create operational friction—they limit the effectiveness of AI-powered workflows, from content generation to predictive person scoring and workflow automation.
In this session, you’ll learn a practical framework to assess your instance’s AI readiness across the areas that matter most: field hygiene, naming conventions, token strategy, scalable program structure, and governance decisions.
Before adding new AI capabilities, ensure your foundation is built to support reliable and safe AI outputs. Walk away with a clear, prioritized action plan—and learn how to use AI itself to accelerate cleanup and drive faster adoption.
Key Takeaways:
12:00 PM EDT - Wednesday, Aug 12
Opening Keynote [AEM900]
Opening Keynote
3 Use Cases for Marketo Engage MCP Server for Smarter MOPs [ME104]
Transform your marketing operations with AI-powered workflows using Marketo Engage’s MCP Server to reduce time spent on manual program setup, ad-hoc data cleanup, and repetitive stakeholder requests.
This session highlights three practical, high-impact use cases: creating a command center in Claude desktop for campaign operations & reporting, bringing the power of Marketo Engage into Slack to triage MQLs, and building AI agents that connect to the Marketo Engage MCP Server to merge duplicates.
You’ll also learn how to build a Slack agent—bringing real-time MQL context, lead assignment, and content generation directly to Sales teams, accelerating follow-up and improving alignment across teams.
Key Takeaways:
Content Authoring Evolution and Best Practices [AEM101]
Understand the evolution of content authoring, structured content models, and why this shift is critical for scalability Learn how authors can
influence AEM design by driving requirements for components, templates, and content models that improve usability and reuse Adopt future-
ready best practices that balance flexibility, governance, and emerging AI-assisted workflows to create efficient and sustainable content
operations
Key Takeaways:
Closing Keynote [MEEXL]
Closing Keynote
1:00 PM EDT - Wednesday, Aug 12
Leveraging AI in AEM Cloud Service Development [AEM102]
Generic AI assistants can write AEM code, but they struggle to produce work that fits a real implementation's conventions,
structure, and quality bar — especially across the many artifacts a single component touches (dialogs, edit configs, Sling Models,
HTL, styles, content policies, and more). This session shares hard-won lessons from building a production-grade library of AI
Agent Skills for AEM Cloud Service development, centered on component authoring.
Whether you're experimenting with AI in your AEM practice or ready to invest in building your own skill library, you'll leave with
concrete principles, a transformation roadmap, and a catalog of agent skills worth building first.
Key Takeaways:
Scaling Content Creation with Product Launch Accelerator and Generative AI [AEM103]
Learn how to accelerate large scale content launches by replacing slow, fragmented workflows with a unified digital twin. Explore how Adobe
Substance streamlines 3D authoring, Adobe Firefly and Generative AI creates scalable content variations, and AEM Assets activates those assets
across every channel. Discover how teams reduce dependency on physical prototypes, eliminate costly reshoots, and deliver consistent,
global‑ready content at scale.
KEY TAKEAWAYS:
2:00 PM EDT - Wednesday, Aug 12
Scalable Content Workflows for Authoring and Asset Governance [AEM104]
Learn how scalable workflows in AEM Assets can reduce friction in content authoring and approvals. Explore how Adobe
Experience Manager Workflows and Metadata Profiles can route assets using metadata including visual traits.
Quickly route
approved assets to publishing while flagging off-brand or rejected assets for watermarking, archival, or human review. Discover
how AEM Assets, Desktop App, Creative Cloud tools, and Dynamic Media can work together to help teams create rapid, on-brand
multilingual variations using controlled, layered, and parameterized templates.
Key Takeaways:
This session is for lead designers, digital asset creators, DAM administrators, and developers who want to improve speed, consistency, and operational efficiency through governed workflows, AI assistance, and automation
Closing Keynote [AEMEXL]
Closing Keynote
12:00 PM EDT - Thursday, Aug 13
Opening Keynote [AI900]
Opening Keynote
From Prompt to Published: How AI Is Changing AEM Content Operations [AI101]
AI in the Adobe ecosystem is quickly moving beyond isolated features and becoming part of everyday content operations. In this session, Wilson Faure, Director of Digital Marketing Platforms at Cox Communications and a 3x AEM Adobe Champion, will share a practical perspective on how AI can reduce friction across the AEM content lifecycle while improving speed, governance, and author experience.
This business-practitioner session will demonstrate how AI can reduce author friction, accelerate content delivery, improve governance, and extend AEM from a CMS into an AI-assisted content operations platform.
Through real-world examples and demonstrations, attendees will explore how Adobe AI Assistant, emerging MCP-based workflows, and AI-powered automation can help streamline content creation, onboarding, metadata management, and publishing readiness.
The session will also highlight a customer-built innovation that converts Figma UX designs into AEM components in seconds, connecting Adobe’s latest Summit AI announcements with a practical customer proof point for AEM authors, admins, and platform leaders.
1:00 PM EDT - Thursday, Aug 13
Ingredients, Instructions, Equipment: Defining Gen AI Use Cases That Are Ready to Build [AI102]
Adobe has a vast product ecosystem. Every single solution is the right answer for someone's use case. The question is whether your use case is defined clearly enough to know which one is right for you.
Agentic In Action: Unlocking AI-Powered Marketing Agility [AI103]
Everyone is talking about AI but we're focused on ensuring Adobe customers are getting value from agentic-powered features.
Join this session to learn how Adobe customers are building AI-powered analyses, deploying campaigns at speed and scale, and even a glimpse into a live demo of CX Enterprise Coworker!
2:00 PM EDT - Thursday, Aug 13
Governance is Key to Getting Your Data AI-Ready [AI104]
As organizations race to harness the power of artificial intelligence, the foundation for success lies not in the models themselves, but in the data that feeds them. This session explores why robust data governance is the critical first step in any AI readiness strategy — covering how to establish data quality standards, ownership, and accountability frameworks that ensure your data is accurate, accessible, and trustworthy when AI systems need it most.
Key Takeaways:
Closing Keynote [AIEXL]
Closing Keynote
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