No spam, just great blogs sent to your inbox weekly
Thanks for subscribing.
At EDA Summit 2024, Carl Lehmann explored how enterprises must evolve to compete in the AI era, and why application modernization and event-driven integration are essential for enabling real-time responsiveness...
In this blog post I’ll explore how Solace Agent Mesh brings powerful long-term memory capabilities to your agentic AI projects, and why that matters.
Solace Agent Mesh offers a proven path to enterprise AI by combining the innovation potential of agentic AI with the enterprise-grade foundation needed for production success.
By combining the LlamaDeploy framework with Solace’s event-driven messaging, organizations can build multi-agent AI systems that operate more efficiently and respond to real-time data.
Google's Agent2Agent (A2A) protocol is great, but can be made more powerful by pairing it with an event mesh.
As AI moves from POCs to production-critical use cases, concerns about reliability, security and enterprise-wide connectivity arise -- LlamaIndex + Solace means having a broker that can run anywhere, connect...
In this post I’ll examine the compelling reasons why EDA is the ideal foundation for next-generation agentic AI systems.
We are excited to announce the first step in our journey to build a comprehensive suite of event-driven AI capabilities for the enterprise: the beta release of our new Standalone...
The introduction of artificial intelligence (AI) to the aviation industry is reshaping how aviation systems operate, and promises to revolutionize everything from passenger experience to operational efficiency and safety.
Solace's production engineering team used AI and EDA, specifically a cognitive mesh, to better handle incoming requests/tickets submitted in an unstructured text format.
As financial institutions modernize, the combo of EDA and autonomous AI agents presents a way to better connect their diverse systems, handle real-time data flows, and enable intelligent decision making...
As GenAI becomes a key differentiator, businesses who use EDA to handle asynchronous GenAI workloads will unlock the full potential of genAI.