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Outcomes Rocket · July 22 · 14 min

What Medtech Leaders Need to Know About AI Adoption with Danny Chu, VP of High Tech at Globant

In fast-moving technology markets, innovation only creates value when companies can connect it to real business outcomes and bring people along through change. In this episode, Danny Chu, VP of High Tech at Globant, shares what he is seeing at the intersection of AI, robotics, and medtech from the floor of DeviceTalks in Boston. He discusses how minimally invasive technologies are reshaping care delivery and why AI represents a major inflection point for both service providers and customers. Danny explains that successful adoption requires more than advanced technology, emphasizing change management, human safety, and measurable business outcomes such as revenue growth, cost reduction, and operational efficiency. He also highlights the importance of modeling edge cases before scaling automation and maintaining a people-first approach throughout technology transformation. Tune in to learn how leaders can approach AI and robotics with a stronger focus on people, outcomes, and long-term adoption. Resources: Connect with and follow Danny Chu on LinkedIn or reach out via email. Follow Globant on LinkedIn and explore their website.

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show notes

In fast-moving technology markets, innovation only creates value when companies can connect it to real business outcomes and bring people along through change.

In this episode, Danny Chu, VP of High Tech at Globant, shares what he is seeing at the intersection of AI, robotics, and medtech from the floor of DeviceTalks in Boston. He discusses how minimally invasive technologies are reshaping care delivery and why AI represents a major inflection point for both service providers and customers. Danny explains that successful adoption requires more than advanced technology, emphasizing change management, human safety, and measurable business outcomes such as revenue growth, cost reduction, and operational efficiency. He also highlights the importance of modeling edge cases before scaling automation and maintaining a people-first approach throughout technology transformation.

Tune in to learn how leaders can approach AI and robotics with a stronger focus on people, outcomes, and long-term adoption.

Resources:

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