Uploaded July 2025 | Updated September 2026, 2 weeks ago
Inference is the new frontier for enterprise AI—but using sensitive data securely is the bottleneck to production. When your model needs to run inference on sensitive/proprietary enterprise data, the default solution is to run on dedicated infrastructure. It’s seen as the only safe path, but it’s a trap: expensive to provision, difficult to manage, and impossible to scale without eroding your margins.In this talk we will introduce a new way forward: private inference anywhere. Using Protopia’s Stained Glass technology, your unmodified models can run without ever seeing raw data, eliminating the tradeoff between data privacy and AI use-case ROI.You’ll get a technical overview, real-world examples, and integration guidance that keeps your stack intact. Whether you're building AI inside the enterprise or selling it, this session shows how to escape the infrastructure trap—and run the model, not the risk.
Inference is the new frontier for enterprise AI—but using sensitive data securely is the bottleneck to production. When your model needs to run inference on sensitive/proprietary enterprise data, the default solution is to run on dedicated infrastructure. It’s seen as the only safe path, but it’s a trap: expensive to provision, difficult to manage, and impossible to scale without eroding your margins.In this talk we will introduce a new way forward: private inference anywhere. Using Protopia’s Stained Glass technology, your unmodified models can run without ever seeing raw data, eliminating the tradeoff between data privacy and AI use-case ROI.You’ll get a technical overview, real-world examples, and integration guidance that keeps your stack intact. Whether you're building AI inside the enterprise or selling it, this session shows how to escape the infrastructure trap—and run the model, not the risk.
