Read our guide to find out.
You don’t have to look very far to see the impact of Artificial Intelligence (AI) in action. Today, machine learning has become more ubiquitous and more meaningful, too -- creating user experiences that are more comprehensive and efficient.
For example, in healthcare, AI uses algorithms and software to help doctors make more accurate diagnoses and treatments. Roche has a great example of this. The company’s software uses algorithms to identify potential cancerous cells that pathologists can confirm. AI also plays a big role in increasing the efficiency of medical care providers.
By helping users make smarter decisions, predictive analytics has completely transformed the way people work. And it’s only going to get better. In a digital world, predictive analytics can provide users with more valuable and insightful data at the point they are making a decision.
In the healthcare industry, predictive analytics is also helping to reduce costs. Payers can personalize medical coverage and match interventions to individuals. Providers can access historical data to improve outcomes. And genetic counselors are giving expecting parents key medical data before birth.
As high-profile breaches continue to grow in frequency and severity, every company is looking for ways to make their applications and user data more secure. In fact, 61% of cybersecurity professionals say threats to data privacy are their biggest concern.
To address this, new UX is incorporating security and authentication methods like fingerprint, voice and facial recognition directly into the design—making safety seamless and even more comprehensive.
Today, users want an experience that “knows” them. Which explains why in a recent study, 33% of customers who abandon business relationships said they do so because personalization is lacking.
In 2019, UX design will need to anticipate and deliver on what users need when they need it. Smart, personalized interfaces should use insight to tailor the user experience to be simpler. For example, instead of providing a user with a large medical document, your application should only serve up specific information the patient needs to see.
For users working in a mobile setting, companies need to deliver their solutions as a mobile-based solution, period. For example, we’ve designed mobile apps for growers completing food testing in the field before packing, water companies testing at the well site and mechanics working on airplanes on a tarmac.
At Catalyst UX, we repeatedly emphasize the importance of simplicity in design—and this trend will continue. Why? A more simplified, efficient user experience reduces the time required to complete tasks, enables use by lower skilled people and reduces training. All of this flows to one important place: your bottom line.
While you have access to more raw data today than ever before, it doesn’t mean much if your users don’t know how to consume it—especially with 65% of the population identifying as visual learners. Now users expect to see only useful, visual insights versus raw data. This means new UX will need to serve up only pertinent information in a visually engaging way.