Factories are racing toward “lights-out” operations—plants where AI agents sense, decide, and act across machines, lines, and sites without human intervention. The obstacle isn’t the AI models. It’s the infrastructure.

Today’s approach—shipping edge data to the cloud—introduces latency, cost, compliance risks, and brittle coordination. It creates uncertainty: Which logic is running where? How do we recover when the network breaks?

AnyLog eliminates this bottleneck.
It virtualizes the edge into a real-time, self-managed data network where:

Data stays in place. Queries run locally, not through costly data transfers.

Execution pushes down. Computation happens near sources for speed and resilience.

Agents connect peer-to-peer. No fixed endpoints; they discover resources dynamically.

Integrity is built-in. A blockchain-based metadata layer enforces access, trust, and consistency across the fleet.

What this makes possible for lights-out manufacturing:

Edge Autonomy: AI agents operate locally with a fleet-wide virtual view—no cloud detours.

Zero-Touch Operations: Auto-discovery, policy-driven updates, and built-in failover—without custom orchestration.

Elastic, Data-Local Scale: Pushdown queries, aggregations, and time-window analytics—scaling out without central bottlenecks.

In this talk, Accenture and AnyLog will show how “lights-out” moves from aspiration to execution—factories running autonomously, safely, and efficiently, with the most cost-effective infrastructure possible.

Session Topic: Open Source
Industry: Cross Industry
Speaker(s): Flavio Bonomi, Mark Davidson