Data has become relatively easy to capture and store, but like most businesses, you still may be struggling to extract value from it. Converting data into meaningful information requires a system of tools and technology that can overwhelm even the most experienced data scientists. We leverage this data infrastructure architecture model (courtesy of Andreessen Horowitz) in conversations with clients and partners to help define new data services that leverage proprietary and third-party machine learning models.
This architecture diagram shows how today’s data tools and systems fit together. The standardized terminology and system descriptions help accelerate and clarify our conversations so we can immediately start building the data service and create customer value.
Everyone deserves good design. Today, the vast majority of older adults 65 and over own smartphones. But are we designing for this population? To design for accessibility means to be inclusive to the needs of all users, no matter their age or abilities. In conducting user research for own digital products, our design team has […]
Nothing can make us feel quite as human as being a patient in today’s healthcare system. It’s confusing, expensive, and a bureaucratic mess. When we’re sick and scared, we put our trust in others, but our current system can leave us feeling powerless. In a way, we’re at our most vulnerable when we’re a patient. […]
Healthcare providers are seeking partnerships with tech companies to help supercharge their innovation efforts. The result is unprecedented innovation in mobile health technology. Learn how mobile health apps are transforming healthcare.