Bridging the Gap in AI Regulation

As AI continues to reshape industries globally, organizations are facing complex challenges, especially in aligning AI governance with practical implementation. At the recent “Regulatory Landscape of AI” event in Zurich, hosted by Wenger Vieli, Mike Tschudin (Partner, Wenger Vieli), Kevin Schawinski (CEO and Co-Founder, Modulos AG), and Dr. Petar Tsankov (Co-Founder and CEO, LatticeFlow AI) explored the evolving landscape of AI regulations and highlighted the critical disconnect between AI governance frameworks and the technical side of AI operations.

In the keynote, “Bridging the Gap Between AI Governance and MLOps,” Dr. Petar Tsankov, CEO and Co-Founder of LatticeFlow AI, tackled how this gap is currently hindering widespread AI adoption. With new regulations emerging, ensuring AI is safe, reliable, and compliant is becoming increasingly essential. Connecting governance with MLOps teams will soon be a necessity for organizations striving to build trustworthy AI systems.

By watching this keynote, you’ll gain actionable insights into aligning AI operations with regulatory standards, overcoming challenges like bias, misinformation, and accuracy, and integrating technical evaluations into AI governance frameworks. These practical takeaways will help your organization navigate the complexities of AI compliance and ensure your AI solutions are innovative, responsible and compliant.

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