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Abe is passionate about using UX research to inform the design of products and services that meet the needs of users and their communities. Throughout his career, Abe has worked in various spaces that allowed him to gain a deep understanding of how the intersectionality of technology, community, and social impact influence client and consumer behavior, including education, engineering, and law. He has a Bachelor of Science in Biomedical-Mechanical Engineering, with a concentration in Innovation Leadership, from Marquette University.
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A quick follow-up to our blog posts about AI… The name of the game is no longer Moore's Law where we see processors getting exponentially faster. AI technology is driven not by computing processes of the past, but from an evolution beyond central processing unit (CPU)...
The first step when developing AI is to understand the user need; but just as critical, is knowing the context in which the data is being collected.
To truly deliver on the promise of AI, developers need to keep the end users in mind. By integrating three components of context, interaction, and trust, AI can be the runaway success that futurists predict it will be.
A stronger recruiting strategy that includes relationships with patient support groups and clinical treatment centers can provide better access to difficult-to-reach patient populations. Being intentional about how you plan the logistics of your human factors and user research can mitigate risks to validity introduced by biases.