Operations | Monitoring | ITSM | DevOps | Cloud

How Generative AI is shaping the future of enterprise applications

The next golden age of artificial intelligence has arrived, but the path forward is far from certain. Technology leaders are presented with a tremendous opportunity to revolutionize their business — that is, if they can find a way to tap into the full potential of their organization's data. In Episode 4 of Elastic's new limited series, Generation AI, Elastic's Sr. Director, Enterprise Applications, Jay Shah, shares how he believes generative AI will shape the future of enterprise applications.

Streams: Elastic's New AI That Turns Log Chaos into Clarity

Elastic just made every SRE’s life easier. With the new Elastic Streams, AI automatically organizes, structures, and analyzes billions of logs, helping you find issues, detect anomalies, and fix problems in minutes, not hours. See how Elastic’s deep generative AI core turns chaos into clarity for Site Reliability Engineers and developers worldwide.

Elastic recognized as a finalist for Innovation in Customer Portals in 2025 TSIA STAR Awards

We are proud to announce that Elastic has been named a finalist by the Technology & Service Industry Association (TSIA) in the 2025 STAR Awards program for Innovation in Customer Portals that Improve Digital Customer Experience. This award recognizes Elastic’s ability to embrace AI innovations to enhance our digital customer experience.

Bridging partners in pursuit of agentic AI - Part 2: How leaders can position themselves for the future

From ecosystem foundations to future advantage In Part 1: Why partnerships matter for enterprise intelligence, we explored how enterprises are moving from experimentation to scalable impact with agentic AI and how ecosystems make that possible. But naturally, the next question is: Where do we go from here?

Bridging partners in pursuit of agentic AI - Part 1: Why partnerships matter for enterprise intelligence

The pace of change in AI development has been dizzying. In just a few years, we’ve moved from experimenting with AI, machine learning (ML), retrieval augmented generation (RAG), and agents to asking how these innovations can solve real business problems. Enterprises are no longer impressed by the novelty and possibilities; instead, they expect outcomes.

From court to code: Build an agentic RAG assistant with Elasticsearch

Want to see what it really takes to build a smart AI assistant? How about one that can help you make the right fantasy basketball picks? In this live session, we’ll demonstrate how to instantly activate and ground a high-performance AI agent using the Elastic Agent Builder, and we’ll show how it powers real-world use cases like smarter player picks. Join JD Armada, developer advocate, for a 20-minute live coding session to learn about.

3 real-world generative AI strategies for executives

Everyone is excited about AI, but few companies have successfully implemented it. While enthusiasm for generative AI (GenAI) has helped accelerate AI adoption across enterprises, the promises of artificial intelligence have yet to translate into measurable impact on most organizations’ bottom lines. The trouble isn’t the tech — it’s a lack of executive ownership.

Agentic AI Explained: How Autonomous Systems Are Changing Cybersecurity

Discover how agentic AI enhances cybersecurity by augmenting security teams’ existing security tools and workflows. See how Retrieval-Augmented Generation (RAG) enables faster threat detection, streamlined investigations, and smarter incident response — empowering SOC teams to work more effectively. Join cybersecurity experts Lisa Jones-Huff and Mohammed Anas Khatri to discover how agentic AI can help your security team multiply its impact.

Pastries with SREs: Leveling up observability and donut dunkability

In this episode of Pastries with SREs, we explore what it really means to shift left with observability, moving from reactive firefighting to proactive performance. And yes, it starts with donuts. We unpack how SREs and IT Ops teams are often stuck reacting to incidents, battling alert fatigue and swivel-chair triaging. But what if you could pull in developers earlier, and give everyone a unified view of observability data?