Adobe sensei

Linear-gradient( 45deg , rgba(0, 108, 239, 1) 0.1%,rgba(2, 90, 195, 1) 18.9%,rgba(69, 91, 203, 1) 41.5%,rgba(169, 93, 216, 1) 72.2%,rgba(255, 0, 0, 1) 100.0%) Stay ahead of the curve with industry-leading AI services. AI Services by Adobe Sensei blends the creative power of generative AI and integrated workflows to help marketers accelerate innovation and deliver the exceptional experiences customers deserve. Watch overview video Experience speed and scale with Adobe Sensei GenAI. At Adobe, we’re always innovating to support your business growth. That’s why we’re excited to introduce you to Adobe Sensei GenAI — our generative AI for Adobe Experience Cloud. It’s your co-pilot to help you connect with more customers. Use it to generate personalized content and copy, humanize your conversational experiences, and create audiences and journeys — all with exponential productivity. Explore Sensei GenAI Better customer experiences — start to finish. Our advanced AI features transform your data into actionable insights, AI-generated content, and automated workflows to help marketers achieve ROI faster and discover new ways of connecting with customers. Smarter delivery. Better results. Experience-focused AI makes it possible for marketers to conquer the impossible — meeting customers where they are with a thoughtful experience to keep them coming back. Here’s how AI in Adobe Experience Cloud helps teams predict customer behavior, generate meaningful campaigns, and ensure a better return on every marketing investment. “We’ve learned that customers in the propensity score range of 90 to 100 converted three times higher than average — that’s a 3x higher conversion rate.” Steve Schultz, Head of Marketing Technology, Esri Read Esri’s story Questions? We have answers. Adobe Sensei, our AI and machine learning technology, is embedded into the Adobe Experience Cloud, powering products like Adobe Journey Optimizer and Real-time Customer Data Platform. Sensei in the Adobe Experience Cloud helps teams predict customer behavior, generate meaningful campaigns, and ensure better returns on marketing investments. Does Adobe Sensei integrate with Adobe Experience Cloud products? Yes. Adobe Sensei is integrated across the Adobe Experience Cloud product portfolio. Adobe Sensei uses AI and machine learning technology to mine data, deliver insights, streamline cross-team content workflows, and design end-to-end journeys based on customer behaviors and engagement preferences. AI Services — or Artificial Intelligence as a service (AlaaS) — is any service that outsources to third-party AI tools, enabling companies to explore AI business capabilities at a fraction of the expense of developing in-house AI techniques. Common

Embracing a customer-centric business transformation. Adobe uses AI-powered Adobe Sensei services to respond with high-impact experiences at every stage of a customer’s journey. Established 1982 Employees: More than 21,000 worldwide San Jose, California www.adobe.com 1.5B Generated billions of daily scores to accurately predict customer needs Objectives Create end-to-end personalization as a leader in customer experience management. Understand a growing wealth of customer intelligence and marketing data. Put advanced analytics and intelligent insights in the hands of more marketers. Personalize and optimize every individual customer journey. Results 1.5B Generated billions of daily scores to accurately predict customer needs. Developed clearer picture of how campaigns connect with customers. Delivered greater personalization at scale by understanding unique customer journeys. “With Adobe Sensei services, we’re using artificial intelligence to help companies better understand their customers and make every customer interaction more personal.” Anthony Ching Adobe Sensei Product Management, Adobe Improving customer experience in real time Consumers expect more from brands than just products or services. They want highly relevant experiences from the moment they first interact with a company across websites, social media, email, mobile apps, and other channels. Adobe realizes that traditional personalized communications aren’t enough to build strong, lasting customer relationships. Engagement with customers should evolve in real time, taking every interaction into account with the goal of presenting customers with the exact services, products, and information they need at every point in the customer journey. “Customer Experience Management (CXM) is at the core of everything we do,” says Anthony Ching, Adobe Sensei Product Management at Adobe. “There’s a lot of talk in all businesses about digital transformation, and that is a critical step. But the next phase is to successfully use a digital transformation to achieve a customer-centric business transformation.” Data unlocks potential CXM is only possible through data. Understanding what customers are doing and how they engage with Adobe is key to discovering new opportunities, personalizing experiences at scale, and providing truly impactful customer experiences. Using Adobe Experience Cloud solutions, including Adobe Analytics, Adobe Advertising Cloud, and Adobe Campaign, as well as other data sources, Adobe brought together all possible sources of customer data—behavioral, transitional, financial, and operational—into a single customer profile. The volume of data—and the variety of ways it could be interpreted—is tremendous, far more than any person or even most of today’s traditional tools can handle. The answer is Adobe Sensei, Adobe’s artificial intelligence (AI) and machine learning technology. Using Adobe Sensei layered on top of the insights from Adobe Experience Cloud, Adobe has developed experience intelligence services that analyze data, predict the best ways to engage with customers, deliver those insights to teams that need it in real time, and measure the effectiveness of the customer

Generative AI IN ADOBE EXPERIENCE CLOUD Meet Adobe GenAI for business. Adobe’s groundbreaking generative AI solutions — including the new AI Assistant — are revolutionising digital experience productivity and performance. GenAI will enhance productivity and performance across all your Adobe Experience Cloud products. Request demo Adobe is leading the industry with generative AI. Adobe is focused on delivering GenAI innovation across three dimensions: Exciting new generative AI-based solutions to revolutionise digital experiences, a new AI Assistant to enhance productivity and reimagined Experience Cloud products with generative AI. Adobe GenStudio for Performance Marketing AI Assistant Reimagined Products Adobe Firefly Meet Adobe GenAI for business. Get to know the new family of creative generative AI models coming to Adobe. Learn more Questions? We have answers. What is Adobe Sensei GenAI? Sensei GenAI services use multiple large language models (LLMs) for brands to generate and modify text-based experiences. These services are anchored in Adobe Experience Platform (AEP), which unifies an organisation’s data and content under a common language model. Using this rich dataset, brands can train generative AI models on proprietary customer insights, customising output for brand-specific use cases. Does Adobe Sensei GenAI integrate with Adobe Experience Cloud products? Yes. Adobe Sensei GenAI services are integrated across the Adobe Experience Cloud product portfolio. Sensei GenAI will help marketers and other customer experience teams boost their productivity without increasing their workloads. To support use cases — from planning and asset creation to personalisation and customer journey management — powerful new features will first be integrated within products including: Adobe Experience Manager Adobe Journey Optimizer Adobe Real-Time CDP Adobe Customer Journey Analytics Adobe Marketo Engage Teams will have full creative control to ensure content and experiences are on-brand, along with insights from Adobe to help them to understand what resonates most with customers. What is generative AI? Generative AI is a type of artificial intelligence software that can be used to create content via algorithms. This content can include art and imagery, audio, video, code, text and simulations. Generative AI models accomplish this by analysing the vast amount of content available across the Internet — or specific databases and platforms — to predict the "best fit" and create an output for a user-entered prompt. How is generative AI used in marketing and customer experience? Artificial intelligence (AI) and machine learning have been used for years to support use cases like anomaly detection, product recommendations, intelligent

Interactions afterwards. Marketing teams across Adobe work with the insights from next-generation Adobe Sensei services, currently in beta—Attribution AI, Customer AI, and Journey AI—to understand how they can deliver richer experiences every time a customer interacts with Adobe. “AI makes it possible to make sense of billions of customer interactions and use that intelligence to continually refine every customer experience,” says Ching. “With Adobe Sensei services, we’re using AI to help companies better understand their customers and make every customer interaction more personal. Adobe Sensei sorts through the complex data and gives us actionable information to help us better reach new customers and better serve existing ones.” “We want to know if we’re doing the right thing for our customers, but information can sometimes get lost in the noise. Adobe Sensei Attribution AI services are fast, efficient, and more accurate than traditional attribution methods.” Annabel Yang Integrated Marketing Analytics, Adobe Understanding all customer touchpoints Adobe knows that advanced multi-touch attribution is critical to understanding marketing effectiveness. The challenge is understanding how every interaction engages a customer and leads to a sale. Customers might click on a banner ad, sign up for a free product trial, open several marketing emails, and finally search for a product before making a final purchase. Rather than just defaulting to simple rule-based attribution, such as last-touch attribution, Adobe set out to understand what customers thought of every interaction. Attribution AI uses machine learning to calculate the exact dollar value that each touchpoint contributed to a sale. It might determine that a small paid search campaign was very effective at introducing customers to Adobe Creative Cloud, eventually leading to a high rate of subscriptions. Or it might show that a high-volume email campaign turns off customers and rarely contributes to a customer’s decision to subscribe. “We want to know if we’re doing the right thing for our customers, but information can sometimes get lost in the noise,” says Annabel Yang, Integrated Marketing Analytics, lifecycle marketing analytics team at Adobe. “Adobe Sensei Attribution AI services are fast, efficient, and more accurate than traditional attribution methods. If one channel starts to fall behind, we can immediately see that the attribution numbers are falling. It tells us where to put our energies to better serve our customers.” “Adobe Sensei Attribution AI gives our marketing initiatives much more value by showing how much revenue each marketing channel contributes to each sale. This allows us to shift the conversation away from marketing as a cost center towards marketing as a valuable sales driver.” Matt Scharf Integrated Marketing Analytics, Adobe Each marketing and media team at Adobe now uses insights from Attribution AI as quantifiable benchmarks for their campaigns. The attribution value