Trusted AI Workflows: From Building to Trusting AI-Native Applications in Production
Hear from the Experts
Enterprises are entering a critical phase in their AI journeys—shifting rapidly from experimentation to real investment but facing significant hurdles along the way. From managing complex model lifecycles and proving ROI to scaling pilots into production and enforcing effective governance, the path to operationalizing AI is far from straightforward.
In this webinar, Omdia Principal Analyst Mark Beccue is joined by Anaconda’s David DeSanto and Ville Tuulos to examine what’s holding organizations back and what it takes to deploy AI at scale with confidence. The session will explore practical strategies, common pitfalls, and how modern platforms are helping bridge the gap between innovation and enterprise-grade production.
Learn the answers to:
- Why do AI pilots succeed but production deployments break down?
- What do enterprise teams consistently underestimate when scaling AI?
- How do you enforce governance without creating friction for the team’s building?
- What does full-lifecycle AI observability change for IT and security leaders?
Meet the speakers
David DeSanto
CEO, Anaconda
David DeSanto leads the company’s mission to empower the world’s data science and AI communities through open-source innovation and secure enterprise solutions. David’s more than two decades of experience span cybersecurity, developer platforms, and enterprise software.
Ville Tuulos
Product Fellow, Anaconda
Ville Tuulos focuses on AI infrastructure following Anaconda’s acquisition of Outerbounds, which he co-founded to help enterprises build production-ready AI systems. At Netflix, he led the team that created Metaflow, an open-source framework for end-to-end ML and AI systems.
Mark Beccue
Omdia, Principal Analyst
Mark Beccue is a veteran market research analyst with more than 25 years of experience in market research and business strategy. Mark is considered one of the top advisers and thought leaders in AI and generative AI market research.