How to Implement AI in Healthcare Responsibly and at Scale?
AI is moving fast in healthcare.
But implementing it safely is where things get hard.
If your teams are already experimenting with AI, but governance has not caught up, data is still fragmented, or scaling feels risky — this webinar is for you.
In this panel discussion, Svitla and Cloudera will explore what healthcare organizations need to put in place before AI can scale safely.
Join This Webinar If You’re:
🔹 A senior business leader (CEO, MD, COO), trying to make sure AI becomes more than another pilot and leads to real value and ROI.
🔹 A transformation or operations leader is under pressure to improve efficiency, but sees that AI is harder to scale when it does not fit real workflows.
🔹 A strategy, digital or innovation leader, trying to cut through AI hype and understand what is actually needed to scale AI safely.
🔹 A healthcare executive sponsoring an AI initiative who sees the real blockers as fragmented data, weak foundations, and no clear path to implementation.
What We’ll Cover
1. Why AI pilots get stuck
What usually blocks healthcare organizations after early AI experiments is unclear use cases and poor workflow fit.
2. The data foundation AI needs
Why fragmented data and disconnected systems make AI harder to trust, govern, and scale.
3. What safe AI implementation requires
What needs to be in place across governance, guardrails, oversight, and access before AI can be used more widely?
4. Moving from pilot to implementation
How healthcare organizations can turn early AI activity into something more practical, scalable, and tied to real value.
Speakers
Johann Beukes. Chief AI Officer & Fractional CTO at Svitla Systems. Experienced AI practitioner and advisor helping organizations bring AI into new industry contexts and turn early experimentation into practical, value-driven implementation.
Rameez Chatni, PhD. Global Director of AI Solutions at Cloudera, leading GTM for Pharma & Life Sciences. Applied AI practitioner across pharma R&D, autonomous vehicles, radar, and medical imaging. 15+ years of cross-industry experience.
Andre Koot. Executive Vice President - APAC, Svitla Systems. 30 years of business experience, including 15+ years in C-level leadership, advising organizations on digital transformation, enterprise technology, and AI adoption.
Join the discussion on what healthcare organizations need to implement AI safely and at scale!