Many organizations are experimenting with GenAI, copilots, and agent-based workflows. Far fewer have built the infrastructure required to support those systems in production.
As teams move beyond pilots, the challenges shift quickly. Reliability, governance, inference cost, observability, orchestration, and access to trusted business context all become part of the production equation. What worked in a lab environment often breaks down under real enterprise demands.
In this DSC-hosted webinar, leaders from AtScale, Rhino Federated Computing, and Constant Contact discuss what production-ready AI infrastructure actually requires. The conversation explores the architectural, operational, and organizational decisions enterprises must make to scale AI responsibly across real-world environments.
Watch the on-demand session to learn how enterprises are building AI infrastructure that is flexible, governed, and ready for sustained deployment.
What You’ll Learn
- Why moving from AI pilot to production requires more than model access
- What reliability, scalability, and observability look like in real enterprise AI environments
- Why governance must be built into the infrastructure, not added later
- How semantic context helps AI systems interact with enterprise data more accurately
- Why cost discipline matters, especially for inference-heavy workloads
- How open, vendor-neutral architectures reduce risk as models and platforms evolve
- What organizational patterns help teams operationalize AI beyond experimentation
Why Watch
The hard part of enterprise AI is building the operational foundation that makes AI reliable, governed, and usable at scale.
This webinar focuses on the infrastructure decisions that determine whether AI efforts remain isolated experiments or become durable business capabilities. From orchestration and compute planning to semantic context and governance, the discussion offers a practical view into what production deployment really demands.
Whether you’re responsible for data architecture, AI platforms, analytics strategy, governance, or enterprise modernization, this session provides a grounded framework for building AI systems that can scale in the real world.
Speakers
Dave Mariani
Founder & Chief Technology Officer, AtScale
Adrish Sannyasi
VP of Customer Solutions, Rhino Federated Computing
Erik Bauch
Moderator, DSC
