This article is part of our series that explores thebusiness ofartificial intelligence.
In turn, the use of AI is shaping Adobes product strategy.
A similar feature automatically creates mask layers for all the objects it detects in a scene.
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Adobe has also improved Neural Filters, a feature it added to Photoshop last year.
Neural Filters usemachine learning to add enhancements to images.
Many of the filters are applicable to portraits and images of people.
Other Neural Filters make more general changes, such as colorizing black-and-white images or changing the background landscape.
The Max conference also unveiled some preview and upcoming technologies.
AI features have been added to Lightroom, Premiere, and other Adobe products as well.
Auto-masking uses objectdetection and segmentationwith deep learning, an area of research that has seen tremendous progress recently.
Style transfer with neural networks is a technique that is at least four years old.
In fact, a lot of the technologies Adobe is using are open source and freely available.
The benefits of applying deep learning to different image processing applications are very clear.
They result in improved productivity and lower costs.
Your target users are graphic designers who are already using a photo-editing tool such as Photoshop.
Youll also have to deal with the costs of deep learning.
Many user devices dont have the memory and processing capacity to run neural networks and require cloud-based processing.
You only recoup such costs when you reach a large number of paying users.
Most clients prefer to avoid working with several software vendors that have different payment models.
And youll need an outreach strategy to make your product visible to its intended market.
And finally, youll need a roadmap to continuously iterate and improve your product.
Adobes AI strategy
Adobe already has a very large share of the graphics software market.
Most of Adobes AI features run in the cloud.
Finally, the cloud-based deep learning model provides Adobe with the opportunity to run a very efficient AI factory.
The AI in turn will shape the products Adobe will roll out in the future.
Running applied machine learning projects is very difficult, which is most companies fail in bringing them to fruition.
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