Explainable AI: Turning your raw data into reliable, real-time decisions
Join us for a dynamic LinkedIn Live conversation exploring the ‘why’ and ‘how’ behind AI-powered predictions and suggestions. It is difficult (and potentially unwise) to trust a tool when its processes are largely unknown and its outcomes lack context. This lack of transparency makes it difficult for healthcare leaders to take full advantage of AI and machine learning capabilities—but that is changing.
In this short discussion, data science aficionados Dave Schweppe, MPH, and Matt Hanauer, PhD, share how explainable artificial intelligence (xAI) is breaking through the walls around machine learning models to reveal clear methodology and deliver interpretable insights. They’ll also explain how xAI can help your organization turn massive, complex data sets into straightforward, strategic action steps.