Artificial Intelligence (AI) is playing an increasingly important role in developing software products and solutions. A well-known example of this is IBM’s Watson, a technology that helps find patterns and insights buried in vast amounts of existing data.
It had its first commercial application in 2013 for utilization of management decisions in lung cancer treatment. It has since made headlines with high-profile initiatives across industries such as music, fashion, automotive, and gaming among others.
Shifting to “AI first”
Major tech companies such as Google, Amazon and Apple have all made AI a core focus. In fact, Google’s own CEO, Sundar Pichai, has recently declared that Google is becoming “AI first” rather than “mobile first”. Just last week, there was a news which stated the company has reportedly launched a new AI focused venture capital program.
AI also played a prominent role at the Adobe Summit’s Digital Marketing conference which was held in London in the beginning of May, 2017. From photo editing to virtual reality (VR), there was no single keynote where Adobe Sensei wasn’t mentioned at least once.
Shantanu Narayen, Adobe Systems President and CEO, explained in his keynote that Sensei harnesses trillions of content and data assets — from high-resolution images to customer clicks — all within a unified AI and machine learning framework.
Adobe Sensei adds an intelligence layer and intelligent services to the Adobe Cloud Platform, and is already integrated in products such as Photoshop and the Marketing Cloud. With more than 100 intelligent capabilities, it promises to dramatically improve the design and delivery of digital experiences across the entire Adobe ecosystem, while saving marketers’ time.
For example, on Adobe Experience Manager (AEM), Adobe's web content management system, Sensei’s powers will range from image matching across millions of assets, through understanding the meaning and sentiment of documents and to finely target important audience segments. The intelligence framework will analyze images imported into AEM and automatically apply metadata and tags.
On the Adobe Analytics Cloud, the Virtual Analyst will help customers automate data workflows to identify what’s driving unusual behaviors in their data.
Especially with the explosion of data, it can be tough for marketers to keep up. Behind the scenes, Adobe Sensei crunches numbers and proactively notifies users when it finds something interesting, like a new look-alike audience your brand should approach, or a specific message that will resonate with a customer. Beyond alerts, it also offers predictive modeling, so marketers can anticipate market changes and make better decisions.
In short, Adobe Sensei’s machine learning and Artificial Intelligence capabilities will help brands deliver better and smarter experiences to their audience. It will be very interesting to see how Sensei will be judged after a while in the market. Watch Adobe Sensei in action:
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