AI vision platforms present very few limits for potential applications: This is because algorithms can be trained to deal with a vast range of objects – such as bees, skin cancer, and welding seams. Computer vision really shows its strengths in applications where we need to find or count objects or extract information from images. With processes like these, AI is paving the way for us to achieve fully automated and constantly self-improving factories. If, for example, a company wants to optimize its logistics processes in order to better utilize its warehouses, freight rooms, and containers, then image analysis systems based on computer vision lend themselves very well to the task. Or consider companies facing heightened security risks. Here, AI could trigger an alarm whenever an employee is not wearing the required helmet or when unauthorized persons are in security areas. Result: This type of digitaliszation makes it possible for companies to automate tasks that until now have tied up a lot of resources.
Is AI vision available as a service?
Implementing AI is not a trivial matter; many find it easier to obtain the software as a service. Our AI Solution Factory and the AI Vision platform from T-Systems MMS prove that this also works for computer vision. Purchasing an image processing system as a managed service means you don't have to worry about server architecture, computing power, or data preparation. When choosing a service provider, consider the following:
- Does your provider have a reputation for trustworthy AI? Does the company have guidelines in place for dealing with artificial intelligence?
- Does it offer you a cloud-based approach and a standardized environment for developing your AI solutions?
- Can it connect an application suite to a deep learning factory?
- Does it assure the integration of AI developments into your customer systems?
This level of diligence is important because, after all, you want to process data that is important to you – and not just count bees.
What the future holds
With managed services like these, companies can quickly and easily make use of systems that were previously too complex. Artificial intelligence and, more specifically, computer vision or AI vision will enable us to adapt end products more quickly, accurately, and precisely to customer needs in the future – such as when we are looking to develop customized medications. If you are curious as to what is already possible with AI today and what may be possible in the future, then you will likely enjoy the article by my colleague Pavol Bauer: “How humanity and AI merge to create masterpieces?” And there is one thing left to say about us. If you would like to know what a connected mug can tell us about the innovative power of digitalization, then take a look at this article of mine. I am happy to recieve your feedback and questions. You are also welcome to stop by in person in Munich. I would be pleased to welcome you to the Innovation Center.
Contact me: Patrick.Koehler@t-system.com.