All speakers

Swapna Chimanchodkar

IEEE Senior Member

October 28-30, 2026Oakland University, Rochester, MI

About Swapna

Swapna Chimanchodkar is an accomplished transformation leader with nearly two decades of experience enabling sustainable business impact for global organizations through process excellence, data-driven decision-making, and digital transformation. She has successfully led strategic initiatives spanning process and IT transformation, enterprise data strategy, and automation integrating technologies such as AI/ML, RPA, Gen AI, and advanced analytics to solve complex business challenges.

In her current role as Director at UBS Financial Services, Swapna drives large-scale transformation and integration programs across various areas of the bank. She oversees strategic integration, data modernization, and digital and process improvement initiatives, collaborating closely with senior leadership and cross-functional global teams.

A certified Lean Six Sigma Black Belt, Swapna brings a unique combination of analytical rigor, strategic insight, and change management expertise to every engagement. She has been instrumental in designing target operating models, and implementing automation frameworks that deliver measurable efficiencies.

As a thought leader, Swapna regularly contributes to industry dialogue. She served as a keynote speaker and panelist at the NexGen Banking Summit USA 2024, discussing AI-driven business innovation and data-led digital transformation in the banking sector.

Conference Sessions

Swapna Chimanchodkar headshot
Conference SessionIntermediate60 min

AI and Digital Transformation in Sepsis Management for Smarter Healthcare Delivery

Sepsis care depends on fast signals across fragmented workflows. The hard part is keeping trust intact as volume, ownership, definitions, and expectations change. In "AI and Digital Transformation in Sepsis Management for Smarter Healthcare Delivery", Swapna Chimanchodkar makes the next step concrete: how AI and predictive analytics can support earlier detection and response.

Topic
Artificial Intelligence and Machine Learning
Time
Oct 29, 2026, 1:15 PM
Room
Room B