Ask any community member who’s ever donned the moderator tag in a new forum and they’ll agree that handling a multitude of new general questions, technical queries, and troubleshooting scenarios can be challenging at first. However, thanks to the rise of AI-powered chatbots, there are a lot of new opportunities to find innovative ways to tackle these challenges. The Mattermost Peer-to-Peer Forum is a good example of a community consisting primarily of developers.

Gartner recently held their annual IT Symposium/Xpo in Orlando and Barcelona, respectively. We attended both events, a jam-packed four days of learning, dynamic conversations, and innovative sessions. It was great showcasing our latest capabilities, reconnecting with our clients, and witnessing first-hand the demand for Internet resilience within the broader community.

Your device pings, signaling another tech alert. Before you can address it, two more chime in. We all know the feeling. In today’s digital world, it’s easy to feel overwhelmed by the sheer number of notifications we receive. But what if there was a smarter way to handle them?

Recently, I sat down with Adelaide O’Brien, research vice president at IDC Government Insights, to discuss the current and future state of generative AI in the public sector worldwide. The full conversation is available to view on demand, but I also wanted to highlight some of the takeaways from the discussion.

AI-related announcements dominate once more. New models for Bedrock. Vector search everywhere, and DynamoDB does a bait-and-switch. Welcome to day 3 of re:Invent 2023.

The advent of Machine Learning (ML) has unlocked new possibilities in various domains, including full lifecycle Application Performance Monitoring (APM). Maintaining peak performance and seamless user experiences poses significant challenges with the diversity of modern applications. So where and how does ML and APM fit together? Traditional monitoring methods are often reactive, resolving concerns after the process already affected the application’s performance.

Elastic’s innovative investments to support an open ecosystem and a simpler developer experience In this blog, we want to share the investments that Elastic® is making to simplify your experience as you build AI applications. We know that developers have to stay nimble in today’s fast-evolving AI environment. Yet, common challenges make building generative AI applications needlessly rigid and complicated. To name just a few.

When OpenAI released ChatGPT on November 30, 2022, no one could have anticipated that the following 6 months would usher in a dizzying transformation for human society with the arrival of a new generation of artificial intelligence. Since the emergence of deep learning in the early 2010s, artificial intelligence has entered its third wave of development. The introduction of the Transformer algorithm in 2017 propelled deep learning into the era of large models.

We are pleased to share a sneak peek of Query Assistant, our latest innovation that bridges the world of declarative querying with Generative AI. Leveraging our large language models (LLMs), Coralogix’s Query Assistant translates your natural language request for insights into data queries. This delivers deep visibility into all your data for everyone in your organization.