Meet Adobe Sensei. It’s the advanced science you need to tackle your most complex experience challenges. Using artificial intelligence and machine learning, as well as our massive volume of content and data assets, Adobe Sensei is the magic behind the world’s best digital experiences.
What is Adobe Sensei?
Great experiences don’t just happen. And nobody knows that better than us. Using our decades of knowledge in creativity, documents and marketing, Adobe Sensei harnesses trillions of content and data assets — from high-resolution images to customer clicks — all within a unified AI and machine learning framework. From image matching across millions of assets, to understanding the meaning and sentiment of documents, to finely targeting important audience segments, Adobe Sensei does it all.
Adobe Sensei is a framework and set of intelligent services built into the Adobe Cloud Platform which dramatically improve the design and delivery of digital experiences. Adobe Sensei is already powering Adobe products such as Photoshop and our Digital Marketing Cloud and will be available as APIs via Adobe.io.
Partners and developers will be able to build entirely new types of applications and solutions for their customers by taking advantage of Adobe’s history of innovation around AI and machine learning. Examples of intelligent APIs include:
Adobe Creative Cloud
Content intelligence: Uses deep learning to search and tag images automatically, and makes intelligent recommendations when a user searches for images.
Face Aware Editing: Finds faces in an image and uses “landmarks” such as eyebrows, lips and eyes to understand their position and change the facial expression without ruining the image.
Semantic Segmentation: Shows each image region labeled with its type; for example, whether it is a building or the sky. Such labelled regions allow easy selection and manipulation of objects, using simple commands (e.g., “change the sky”).
Adobe Document Cloud
Natural Language Processing: Provides text understanding, topic modeling and sentiment analysis of digital documents.
Document Similarity: Recognizes similar documents and highlights their differences.
Optical Character Recognition: Converts and cleans up documents that have been scanned from paper and removes ”dust” artifacts, or automatically straightens crooked lines of text.
Adobe Marketing Cloud
Attribution: Algorithmically determining the impact of different marketing touch points on consumers’ decisions to engage with a brand.
Anomaly Detection: Simplifies data analysis by surfacing the most relevant insights and highlighting anomalies using statistics to focus on what needs attention.
Sentiment Analysis: Helps see and predict what customers like, talk about, and share most.