DALL-E, MidJourney and Stable Diffusion are examples of a new kind of technology, capable of creating creative and photorealistic images of anything within seconds. What is this incredible technology going to mean for businesses and the economy?
Collectively referred to as text-to-image models, this class of machine learning models can take any piece of text and produce a creative, high quality rendition of it. Over the last months, it has taken the internet by storm, but reasonable questions are being raised regarding the big-impact business cases.
In this article, we examine the capability of these text-to-image models, what they mean for businesses and how they might disrupt select industries.
As such, we should not underestimate it!
A lot of people once asked with scepticism about the essential use case for the original iPhone which could justify the price tag. Was it an expensive music player? A large phone? Or an oddly shaped internet-device? It turned out the iPhone had many use cases, and a lot of them (like the App Store) would come later as the technology matured.
Text-to-image models are in a similar position right now. It is fair to ask what the use case is, and while we can mention some, the existing ones do not seem to justify the hype.
But make no mistake. The use cases are Coming. This is just the Hard part. So, who can solve it?
Disruption is in the air
Text-to-image models are hard to use for large established companies. The models require a very high level of IT maturity, and inherent legal uncertainties can make them unpalatable for a large company. If a company is not comfortable in the cloud or driving heavy compute loads, using this technology will prove a great challenge.
Want to know more?
At Implement, we have as much experience as you can possibly have. We have several strong data science consultants monitoring the technological developments as well as the business scene, both globally and specifically in the Nordics.