AI is redefining healthcare, but most pilots never make it past the proof-of-concept stage. As organizations rush to adopt AI solutions, they’re discovering that the path from successful pilot to scaled production is fraught with challenges unique to healthcare — from regulatory compliance to clinical validation and everything in between.
You’ll hear honest insights on what it really takes to integrate AI when you’re building for trust in an industry that can’t afford to get it wrong. We’ll break down the shift from proof-of-concept to intelligence-led growth, how to avoid the pitfalls that drain resources without delivering impact, and the critical practices teams need to equip your system with the right skills and mindset to stay ahead.
We’ll speak with industry leaders at Adventus Capital & Baylor Scott & White Health Management Services who’ve been in the trenches navigating these waters — and understand how regulatory frameworks, team dynamics, and real customer value can make or break your AI initiatives.
This conversation is grounded in experience. Whether you’re just starting to explore AI investments in healthtech or already scaling initiatives within your SaaS business, this session will help you move forward with clarity and confidence.
Meet the Panelists:
- Adrianna Cantu
Vice President, Digi Health - Peter Brussard
Associate Director, Baylor Management Services
Moderator:
- Dee Dee Walsh
VP of Developer Marketing and Business Development, GAP
Who Should Watch:
HealthTech founders, product leaders, CTOs and technical decision-makers looking for clear, practical guidance on how to navigate AI’s complexities. SaaS companies exploring AI investments or struggling to scale existing pilots will find actionable frameworks for moving forward. Healthcare technology teams seeking to balance innovation with compliance requirements and clinical stakeholders who need to understand what successful AI implementation actually requires will benefit from this session.
You’ll Learn:
- First-hand stories on integrating AI into SaaS products — what succeeded, what didn’t and why.
- Proven approaches to infusing AI without disrupting your roadmap or burning your budget.
- How to spot common traps — from overbuilding to under-defining the customer problem.
- The interplay between regulatory considerations and pragmatic implementation in healthcare settings.
- How AI is changing product development, team dynamics and leadership — and how to adapt.
Enjoy!