Adobe introduces an AI Assistant within the Adobe Experience Platform, adding advanced AI capabilities to Adobe Experience Cloud applications such as Adobe Real-Time Customer Data Platform, Adobe Journey Optimizer, and Adobe Customer Journey Analytics. Designed to integrate smoothly into existing workflows, the AI Assistant helps marketing teams save time, refine their strategies, and enhance customer engagement through a user-friendly, conversational interface. Below are its key capabilities and benefits.
Data-Driven Insights And Integration
The AI Assistant is powered by the unified data foundation of the Adobe Experience Platform, combining Adobe’s product documentation, community forums, and playbooks with your enterprise data. This integration allows the AI Assistant to query these data sources to generate relevant, context-specific answers and recommendations, ensuring insights are directly apply to business needs.
Emphasis on Trust And Data Governance
Built with enterprise-grade trust and data stewardship, Adobe ensures the AI Assistant keeps customer data private and secure. With measures like disabling large language models (LLM) logging, applying filters to scrub sensitive information, and guaranteeing no customer data is shared across clients, marketers can confidently use the AI Assistant without compromising data integrity.
Personalized Recommendations
The AI Assistant utilizes advanced models to deliver tailored guidance.
- Base Models: Foundational models that use language processing to understand user queries and provide relevant guidance within Adobe’s tools.
- Custom Models: These are tailored to specific business data, enabling marketers to gain deeper insights into trends, forecast outcomes, and make data-driven decisions.
- Decisioning Services: Context-aware tools that suggest next steps and actions based on current and historical interactions, helping optimize your marketing efforts.
How It Works
The AI Assistant is designed to be intuitive and easy to use. Marketers can access the AI Assistant through a straightforward natural language interface embedded in Adobe Experience Cloud. Simply type questions or commands, and the AI Assistant provides actionable answers and guidance, whether about segmenting audiences, optimizing customer journeys, or troubleshooting campaign issues.
Image source: Adobe.com
Here are two examples of marketing use cases for Adobe’s AI tool:
- Campaign and Channel Marketing Teams: The AI Assistant helps marketers quickly grasp available tools and features, jumpstart creative processes, and accelerate campaign creation. For example, a campaign manager can ask about the steps to activate an audience and receive tailored guidance, speeding up execution and reducing roadblocks.
- Marketing Operations Teams: Marketing operations teams often need to measure campaign performance and configure journeys, segments, and audiences. The AI Assistant provides a centralized, quick-access point for troubleshooting and insights, allowing teams to resolve issues faster without deep technical support.
Upcoming Enhancements
Adobe announced that future updates to the AI Assistant will include advanced content generation capabilities, such as creating marketing assets like emails and web pages using Adobe Firefly and automating routine tasks like organizing data segments. Predictive insights and recommendations are also set to become available soon, enabling marketers to simulate outcomes, forecast results, and determine the best next steps to optimize campaigns effectively.
Availability
The Adobe Experience Platform AI Assistant is now available for all Adobe Experience Cloud users. Brands such as General Motors and Hanesbrands are leveraging it to enhance their productivity and marketing effectiveness.
