Is AI adoption lagging? It could be a bad user interface
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Think about this: If something was slow, cumbersome, overly complicated, messy, or inconsistent, you wouldn’t want to use it, would you?
Yes, the same goes for artificial intelligence (AI) communication.
In adopting them, organizations may tend to be attracted to appearance — thinking that a sleek, sleek design encourages use.
“Really, AI is only as good as its user interface (UI),” said Petr Baudis, CTO, chief architect of AI and co-founder of intelligent document processing platform (IDP). Rossum. While it may seem counterintuitive, the full potential of AI stems from functionality and simplicity.
“For AI technology to be widely adopted in an organization, it must have a strong user interface,” says Baudis. “Otherwise, its usage will decrease and the number of recurring customers will decrease.”
Infinite value — if implemented correctly
At this point, AI is everywhere — you’d be hard-pressed to find a use case where the technology isn’t applied in some way.
“AI has completely changed the way people work, what they do and how they spend their time — both from a personal and professional perspective,” says Baudis. “The value of AI is limitless and its use is increasing day by day.”
And it will become more and more popular: AI market size is predicted to grow from $86.9 billion in 2022 to 407 billion USD by 2027, achieving a compound annual growth rate (CAGR) of more than 36%.
As users become more appreciative of human errors, says Baudis, AI will become more and more advanced and powerful — which is fundamental to its very nature. AI needs training, data, and regular practice and use to troubleshoot, learn, improve, and become smarter.
“This greatly enhances the value of AI technology,” says Baudis.
And “User-friendly interface” is crucial to this — ease of use keeps people coming back, adopting technology every day, and even recommending it to their colleagues.
Ultimately, the proactive use of AI only benefits organizations. According to a recent survey of BCG and MIT Sloan Management ReviewWhen employees derive personal value from technology, the likelihood of organizational value increases 5.9 times. And employees who get personal value from AI are 3.4 times more likely to be satisfied with their jobs.
AI worth salt
For example, Baudis pointed to a dedicated AI tool that Rossum built for Damned Salt.
As the leading supplier of salt in North America, he explained, the company receives a steady stream of orders from many commercial and manufacturing customers. And for a long time, each set of documents had its own format, making the data entry process tedious and time consuming.
But since integrating Rossum, Morton saves up to 95% time per document; Baudis says the average time to process the document is 10 seconds.
“This tool was specifically built and trained to their order, and to this day, always adapts by validating human data,” he said.
Baudis advises: When evaluating AI design elements, organizations should consider their buildability, layout, and streamlined capabilities.
For example, if a user interface is “overwhelmed” with too many drop-down options or the interface is cluttered, “companies are likely to fail.”
User interface designers must ensure that interfaces are, as he puts it, “easy to navigate, cohesive, use clear messaging, and are appropriate for users of different skill levels. ”
It comes down to striking the right balance between looks and functionality. Do not be too complicated and make it difficult for users to perform common tasks. At the same time, ensure that the brand identity is fluid throughout the user interface.
“A negative user interface experience can damage a company’s reputation, so organizations must always keep this in mind when building user interfaces for their AI technology,” says Baudis.
Regular training, feedback
Baudis says encouraging employees to use AI requires a deep understanding of the value of the technology along with training. Organizations must be upfront about AI strategy and share how it will positively impact daily work and the overall employee experience.
In addition, companies must be transparent about goals and illustrate actual impact by showing metrics that have improved since implementation. They must also provide ongoing training as new features are added. Furthermore, an internal feedback system can foster the sharing of best practices, says Baudis.
Whether it’s a regular check-in, a dedicated Slack channel, or a live best practices documentation, consistent communication on how to best use AI improves overall performance and adoption rates. take.
Also, a customer feedback loop is key. “All customers and their preferences must be kept in mind when working towards building a powerful user interface, especially when AI’s goal is to make life easy,” says Baudis. and better”.
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