Solace

08/31/2026

Your factory has more data than ever, so why does it still take hours to react to a problem on the floor?

Solace's Dan Prudhoe explains: it's not a data problem, it's an architecture problem. Point-to-point integrations can't keep up with real-time operations, and neither can UNS alone, without an event-driven foundation underneath it.

The piece walks through how event mesh + UNS lets AI agents sense, decide, and act on what's actually happening on the shop floor, not what happened three hours ago.

Read it here: https://okt.to/m2yaRL

08/28/2026

What does an intelligent store look like when AI agents and enterprise systems can work together in real-time?

This piece shows how EDA, A2A, MCP and AI-powered workflows detect a sudden demand spike, reason across inventory and forecasting data, and trigger the right action in real-time.

The result: a store that can move from signal → decision → action before a shelf goes empty.

Read the full post here: https://okt.to/PhNDZo

08/27/2026

Every team that builds AI agents ends up building their own bespoke way to do it — different tools, different testing, different governance. None of it transfers to the next agent.

Solace Agent Mesh gives you a structured Agent Development Lifecycle instead: build, test, deploy, observe, and improve every agent the same way, every time.

No-code for business users. Pro-code for developers. Prove it before you ship it with built-in evals. See and supervise every action. Promote through the GitOps tooling you already run. Keep improving agents after launch instead of letting them drift.

Bespoke methods disappear. Your team spends its time on what makes you different, not on rebuilding plumbing for every agent.
Start building → https://okt.to/GOet4j

08/26/2026

We're excited to announce that Mike Capone has joined Solace's Board of Directors.

Mike brings more than three decades of experience building and scaling global technology businesses, with deep expertise in data, AI, and enterprise infrastructure. He most recently served as CEO of Qlik for over eight years, and currently serves on the boards of Dynatrace and Suvoda. Earlier in his career, he held senior leadership roles at Medidata Solutions and ADP.

As real-time data becomes increasingly critical to enterprise applications and AI agents, Mike's experience will be a valuable addition to Solace as we enter our next phase of growth.

Welcome to the Board, Mike!

Read the full press release: https://okt.to/1AQjnb

08/25/2026

"The data is present, but it's not always actionable."

That's the problem Solace's Dan Prudhoe is calling out in Manufacturing Today — and why closing that gap, not adding more AI, is the real competitive edge on the factory floor.

https://okt.to/o0HjcV

08/20/2026

Final reminder ❗ Don’t miss your chance to learn how to turn your Databricks lakehouse into a real-time source of context for AI.

Join Solace’s Michael Hilmen and Bits In Glass's Aaron Wentzell to see how real-time data streaming can replace slow batch pipelines and help your AI sense, decide and act with continuously updated data.

→ Register now: https://okt.to/DLmCij

08/19/2026

Kafka or Solace? Why choose?
By combining Kafka’s strengths in persistence and replay with Solace’s real-time event distribution, enterprises can build a faster, more flexible streaming architecture.

See how the two work better together: https://okt.to/nY4uaU

08/17/2026

Traditional API- and middleware-centric approaches weren’t designed for a world where systems need to react in real time, reason with context and act autonomously.

It’s time to rethink enterprise integration for the age of multi-agent systems.

Download the guide → https://okt.to/qFhDgj

08/13/2026

How can enterprises meet the growing infrastructure demands of AI without powering up emissions?

The answer may lie in building more responsive systems. Event-driven architectures allow computing resources to activate when data and events require them, helping reduce unnecessary energy use while supporting unpredictable AI workloads.

Explore Phil Scanlon’s perspective on building AI infrastructure that is both responsive and resource-efficient.
→ Read the full article https://okt.to/s9rtTm

08/12/2026

Agent Mesh, AI Governance, and Identity Management.

These are the three pillars of a production-ready agentic enterprise.
To orchestrate agents, govern access, and secure every interaction, enterprises need an architecture built for scale, not just experimentation.

Explore the blueprint for moving agentic AI from pilots to real business workflows.

Read it here: https://okt.to/PDZXLK

Introduction Enterprises are evolving from generative AI to agentic AI, where autonomous agents reason, coordinate, and act across multi-step workflows.