AI in Adobe

So you applied one perfect filter to your selfie and are waiting for the final photo to come out soon.

 

In the meantime have you ever wondered how these multiple filters can be applied in microseconds, how the filters are automatically adjusting the lights and what technology is actually so smart that it is reading your brain. 

 

Artificial Intelligence is the driving force behind your perfectly edited photographs. Adobe use Artificial Intelligence to give you perfect instagram pictures. If you are still wondering how Adobe use AI  please follow the blog to know more. 

 

How is Adobe using AI?

 

Adobe Sensei is Adobe's AI tool that provides predictive analytics, enhances the quality of photographs and uses the combined power of AI and machine learning to deliver customized consumer experiences. 

 

It employs AI to produce aesthetically pleasing photographs, for predicting consumer needs and for forensic image analysis. Here are the four ways in which Adobe is using AI. 

 

 

1. Predicting Consumer Needs:- 

 

Adobe employs AI for predicting consumer needs. Customer AI is Adobe’s quick way to reach out to customers. 

 

It keeps a tab on consumer’s behaviour through AI, and provides marketers with a quick and easy way to reach out to consumers. Customer AI observes a consumer’s behaviour on Adobe Lightroom’s application. Compiled with some influential factors, it generates nearly accurate predictions. 

 

Customer AI helps a marketer to understand what a consumer is looking for. The insights derived from Customer AI helps Adobe to personalize customer experiences. 

 

It also creates every consumer’s unique profile to understand consumer’s behaviour. Customer profile is a database that holds the key to consumer behaviour. Adobe analyzes customer profiles and based on the analysis delivers reports to the marketers. 

 

Let’s say a customer is using Adobe Lightroom and is trying their hand at premium features, the moment it becomes a regular activity Adobe marketers send emails to pitch the customer for a subscription. 

 

A pop-up window will also appear on the customer screen with some exciting premium features to tempt the consumer for subscription. 

 

 

2. Text Summarization:- 

 

Adobe use AI for text summarization. Text Summarization is a way to shorten long and unabridged versions of text. Adobe use auto- text summarization. The AI algorithms summarizes the text within the set word limit. 

 

In simple words automatic text summarization is a way to shorten long piece of text automatically. Adobe Sensei use natural language processing for automatic text summarization. 

 

Every social media application use a different layout while instagram is all about long captions, twitter focuses on 280 character tweets. It is extremely difficult to edit a single piece of text to fit into different application’s requirements and that’s where AI comes into play. 

 

With Adobe’s automatic summarization features, the long piece of text is broken down into small fragments to fit into different requirements. AI ensures the summary thus produced, conveys the entire meaning and crux of the text is retained to convey more in less words.
 

To ensure proper text- summarization, the ai algorithm ensures that all the informational elements of the text are preserved while summarizing the text machine learning models instructs the system to preserve the important elements while shortening the text. 

 

(Related Reading:- Semantic Analysis: Working and Techniques)

 

 

3. Understanding Brand Value through sentiment analysis:- 

 

Adobe employs artificial intelligence for sentiment analysis. Sentiment Analysis is a way to understand the real intent behind a customer's query. Adobe use Sentiment Analysis to extract the real intent behind a customer’s query, suggestion and comment. 

 

 Sentiment Analysis enables Adobe to learn about its brand value in the marketplace. This technique takes into consideration the comments on various social media platforms to analyze the workings of Adobe. 

 

Sentiment Analysis helps Adobe to understand and touch upon the consumer experience journeys. 

 

The moderators read the comments on specific social media handles to understand the customer reactions after a product launch. Sentiment Analysis also helps marketers to understand the consumer experience with their previous products. 

 

A bad review can tarnish a new product’s market value and marketers at Adobe understand it well therefore post a product launch the marketers try to understand the customer reaction through sentiment analysis. 

 

(Related Reading: Sentiment Analysis of YouTube Comments)

 

 

4. Image Forensics:- 

 

Adobe is exploring the use of AI in the field of image forensics. Image Forensics is a way to check the authenticity of images. Using AI Adobe can easily identify the difference between the real and edited images. 

 

AI algorithms identify fake images by analyzing the entire image; some leftovers of brushstrokes, or a doodle are quickly caught up by the smart system. 

 

In a world ruled by social media misinformation spreads quickly. The edited images usually stir public emotions and are also responsible for spreading disinformation. The deep neural networks can be used to identify which images are original and which are fake. 

 

With the advancements in technology AI based image forensics will further be extended to other domains in Adobe. 

 

 

5. Image Editing and Video Editing:- 

 

Adobe use a combination of AI and machine learning to provide customers with a unique video and image editing experience. Whether choosing the right filter for the image or for that one fast edit,  Generative Adversarial Network (GANs) can provide you with the necessary tools. 

 

It use GANs for generating realistic and human photographs. They also suggest some unique image editing and video editing features to the users. 

 

For AI focused image editing Adobe Lightroom provides neural filters, healing brushes, lens correction, geometric slider tools and several texture based effects. 

 

The AI based tools suggest the right filter that will enhance the image quality. By providing a sample image the AI algorithm automatically scans the stock images and provides a user with a plethora of images from the same category. 

 

Adobe Premiere Pro is Adobe’s image editing software. It also use AI to provide best video editing features. 

 

Auto Reframe is Adobe Premiere Pro’s AI feature that can perform the arduous task of video editing by just a simple click. The Auto Reframe analyzes individual frames and produces motion keyframes. 

 

This feature can reframe the video on its own and maintains a ratio of 16:9 (That actually means that no need to spend extensive hours in video reframing just click the button and wait for technology to do wonders. )

 

Check out this video to know more about Adobe’s AI based Auto reframe. 

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Conclusion

 

By using artificial intelligence in Adobe Sensei to build out customer profiles, we help marketers pinpoint opportunities so that they can target messaging with much greater accuracy.” Anthony Ching Adobe Sensei Product Management, Adobe

 

In the modern era every company is betting big on AI. From designing clothes to assisting doctors, AI is everywhere. Adobe is also exploring this new age technology t understand its customers in a better way. 

 

(Must Check:- How is Myntra Using AI?)

 

Whether editing photographs or for creating that one perfect video Adobe’s AI editing features are a rescue.