Bridging the gap between AI tech and exceptional user experiences Part 2

Chris Sampson

This is Part 2 of a series - find Part 1 here.

At Tiliter, we've known how to build high-performing AI (Artificial Intelligence) for product recognition for some time. In fact, a breakthrough in our understanding of how to build robust recognition for fresh produce led to the company's inception.

Several years later, while we continue to refine the recognition technology, much of our effort is also focused on how we deliver the technology better.  

There is much to do in maturing edge AI technologies to penetrate all possible market opportunities. One of the critical areas of work needed is often overlooked — one which at Tiliter, we believe is, in fact, the key to unlocking any technology — user experience.  

History has shown this. The state of AI today can be compared to the early days of computing before the PC was commonplace. While computing technology was available and was reasonably cost-effective, personal computing didn't hit prime time until someone worked out how to deliver a user experience that would unlock the potential of the technology. I'll let the argument rage about whether this was Jobs or Gates.

Even today, Apple and Microsoft continue to enhance the PC user experience, and this is what unlocks the utility of computing today.  

When it came to personal computing, it was not the company that could build the computer with the fastest processor and the most RAM for the lowest price that won. It's always been about how you deliver that experience. User experience is key to the success of any product. Building products using AI is no different.  



Let's think about a simple problem — for example, the input and output of Boolean variables in a user interface. This problem requires design input to consider the user experience and the best delivery method. One user interface might use a radio button, another a checkbox— it all depends on the desired user experience.  

Remember, though, these user interface components didn't exist at one point. As with AI now, back then engineers and designers needed to develop these UI concepts. Combining a deep understanding of the technology that was personal computing and how to deliver the technology so that users could interact with and benefit from it effectively.

At Tiliter, we're building edge compatible AI, unlocking a range of applications. Like the early days of the PC, building these products requires a deep understanding of state-of-the-art AI and user experience. This is where Tiliter excels. Our team understands how to bridge the gap between AI technology and products that deliver an exceptional user experience. We build easy to use AI-powered products with the end-user at the heart of the design and delivery.  

It took what are now some of the most valuable companies globally to solve the PC user experience problem. The same will occur with AI. AI provides new ways to deliver and consume information, and this space is still being defined. The companies that solve AI user experience problem will be some of the next giants of tech.

Interested?

Take a look at our supermarket AI Checkout Solutions here.

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Chris is Tiliter's CTO and one of our co-founders. He shares his expertise on AI, deep learning and edge computing.

Chris is Tiliter's CTO and one of our co-founders. He shares his expertise on AI, deep learning and edge computing.

Chris Sampson

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