Panels and Presentations Addressing Key Challenges of Payment Integrity
Curated meetings based on your RCM/PI painpoints and investments -30 minutes each -3 meetings per registered individual -All those not scheduled to take meetings will be encouraged to take part in interactive sessions, competitions and activities in the exhibition room.
Take a break to grab a drink, enjoy a snack, and connect with presenters after their sessions. Don’t miss the interactive sessions and competitions happening in the exhibition room during this time!
Panels and Presentations Addressing Key Challenges of Payment Integrity and Revenue Cycle Management.
Mark Buehrer

Priya Kesavan
Priya Kesavan is an AI Strategy Principal at Microsoft. In her current role, she leads the development of long-term strategies and roadmaps for Microsoft's in-house AI hardware systems. In the past, Priya held several leadership positions in product management for SoC and systems development at Intel and Cisco. Driven by a passion for harnessing AI to address complex real-world challenges and improve user experiences, she is a strong advocate for "AI for good." Priya is also committed to empowering women in technology and AI, spearheading initiatives to foster their growth and advancement. She holds a degree in Computer Engineering from Madras University.

Ashwin Gumaste
Ashwin Gumaste is an AI Architect at Microsoft. He specializes in building AI systems, scaling networks, and model estimation. Before joining Microsoft, Ashwin held key roles at Infinera, Cisco, and Fujitsu, as well as academic positions at IIT Bombay and MIT. Earlier in his career at IIT Bombay, he designed, developed, and successfully commercialized carrier Ethernet switch routers, earning India's highest science and technology honor, the Bhatnagar Prize. A distinguished fellow of the Indian National Academy of Engineering and the National Academy of Sciences in India, Ashwin has made significant contributions to AI and network engineering. He has authored three books, published 215 peer-reviewed papers, and holds 28 granted patents.

Apala Guha
Apala Guha is Principal AI Architect at Microsoft. In her current role, she studies AI model architectures and analyzes their behavior and performance on GPUs. With these insights, she co-designs SoCs, systems and compilers for Azure AI. In the past, she was part of AI hardware development at Tenstorrent and Lightmatter. She has a PhD in Computer Engineering from University of Virginia and has held several academic research positions on accelerator compilers.