Leveraging AI/ML for Transformative Software Solutions in Healthcare -Sarbaree Mishra Molina

Topic:
Leveraging AI/ML for Transformative Software Solutions in Healthcare
Abstract:
In this session, Sarbaree will discuss how AI and machine learning are revolutionizing software development in the healthcare industry. Drawing from her experience at Molina Healthcare and Infosys, she will share insights on the challenges and opportunities of implementing AI/ML in healthcare software, focusing on improving data integration, analytics, and real-time decision-making in healthcare systems. This session will also explore real-world applications and best practices for healthcare software engineering teams to harness AI/ML technologies to drive innovation and efficiency.
Who is this presentation for?
This presentation is designed for software engineers, program managers, AI/ML practitioners, and professionals in the healthcare technology space. It's particularly useful for those interested in how AI/ML can be integrated into healthcare software systems to improve patient care, streamline operations, and foster data-driven decision-making.
Prerequisite knowledge:
Participants should have a basic understanding of AI/ML concepts and software engineering practices. Familiarity with healthcare industry challenges and healthcare IT systems will also be helpful but is not necessary to attend.
What you'll learn?
1. Key challenges in integrating AI/ML into healthcare software. 2. How AI/ML is transforming data integration and analytics in healthcare. 3. Best practices for building scalable, innovative software solutions that meet healthcare industry needs. 4. Strategies for managing and leading software engineering teams in the healthcare sector.
Speaker Bio:
Primary role in making purchasing decisions for technology products and services is to evaluate products. With extensive experience in managing software engineering projects for the US healthcare industry, she plays a critical role in assessing new technologies that align with organizational needs, particularly in data integration, analytics, and AI/ML.
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