Data drift is a phenomena that impacts any AI model in current operation. It is essentially a change in the features distribution an AI model receives while it's in production, thereby leading to a decline in the model's performance. A visible impact in imaging AI, for instance, could be an algorithm becoming less reliable at…
Chad Sanderson, the CEO and Founder of Gable.ai believes that if companies want to leverage AI, a sound data strategy will be crucial. He recently spoke about the importance of data quality and data contracts in maintaining an application's integrity. Sanderson’s company offers a unique implementation mechanism to facilitate federated data governance and federated data…
Artificial Intelligence (AI) continues to create transformative opportunities in healthcare. However, these innovations also prompt significant questions about regulation, governance, and trust. In the segment of Lessons From the Inside, Sunil Dadlani, a leading figure at Atlantic Health System, shares his insights into these crucial discussions. As both Chief Information and Digital Transformation Officer and…
Today's healthcare landscape is inundated with vast amounts of patient data due to the digitalization of healthcare. However, a large issue exists as much of this data remains unstructured, leading to difficulties in extracting valuable insights. This problem is discussed in detail in the segment of our whitepaper, The Clinical AI Scorecard: How Different Integration…