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Larry has more than 20 years’ experience creating, analyzing, and optimizing online user experiences. During his career Larry has led e-commerce for a leading national retailer, introduced website optimization services at an Inc 500 advertising agency, and led digital marketing for a top-ranked global business school. Larry’s passion is helping organizations find the sweet spot where user needs and business needs intersect. He enjoys learning new frameworks, breaking new ground, and working collaboratively to organize chaos without stifling creativity. Larry holds a BA from the University of Virginia.
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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.