• Ajai Sehgal

    Ajai Sehgal is Group Chief AI Officer at IKS Health, driving enterprise AI strategy to leverage data and advance analytics to accelerate innovation and improve healthcare outcomes.

In a new podcast, Ajai breaks down what it actually takes to deploy artificial intelligence that affects meaningful change in healthcare. He shares that the real breakthrough stems from liberated data, transparent “glass box” systems, and keeping humans in the loop where they matter most.
At our Vitalize Summit, IKS Health experts Ajai Sehgal (Group Chief AI Officer) and Dr. Grace Terrell (Chief Medical Officer) highlighted the critical challenge: traditional systems lock away valuable data. To power scalable AI insights, health systems must unify their clinical and operational streams into a single platform.
At our Vitalize Summit, IKS Health experts Ajai Sehgal (Group Chief AI Officer) and Dr. Grace Terrell (Chief Medical Officer) warned that deploying AI without proper data governance invites risks and is why many AI pilots fail. A successful AI strategy requires a solid data infrastructure.
Leaders Ajai Sehgal (Group Chief AI Officer) and Dr. Grace Terrell (Chief Medical Officer) spoke at our Vitalize Summit and advised forgoing massive data cleansing. Instead, they suggested targeting specific workflows, tackling data readiness and AI deployment together for immediate value and scalable future growth.
In the final installment of the series, Healthcare AI and Infrastructure Dependency, we address why healthcare leaders need a trusted partner to provide the infrastructure, expertise, and accountability needed to deploy AI responsibly.
Many AI initiatives never make it past the pilot phase because there is no solid data foundation. IKS Health experts break down how to bridge technical data models with clinical reality to unlock real AI ROI.
At our Vitalize Summit, IKS Health’s leaders Ajai Sehgal (Group Chief AI Officer) and Dr. Grace Terrell (Chief Medical Officer) emphasized that data strategy is AI strategy; clean, accessible data infrastructure is the foundation required to scale beyond concepts.
In the fourth article of the series, Healthcare AI and Infrastructure Dependency, we examine why healthcare leaders must focus on enterprise infrastructure, governance, and partnerships to deploy clinical AI safely at scale.
Curious about what glass-box AI is and why it matters? Learn how it leads to higher accuracy, fewer denials, and a clear audit trail in this primer on how a clinical knowledge layer changes the game in healthcare.
In the third article of the series, Healthcare AI and Infrastructure Dependency, we explore how safety protocols, human oversight, and regulations keep healthcare AI safe and aligned.