At.conf23, we announced the preview release of Splunk AI Assistant - Splunk's first offering powered by generative AI. This app offers an intuitive and easy-to-use chat experience to help you translate a natural language prompt into SPL query that you can execute or build on, all within a familiar Splunk interface. Splunk AI Assistant also explains what a given SPL query is doing in plain English with a summary as well as a detailed breakdown of the query.

In this interconnected business landscape, communication and collaboration are paramount for organizations to be competitive. That’s why the role of AI-enabled collaborative workspaces in ITSM cannot be understated. As the demand for seamless, proactive, and contextual IT services grows, organizations must capitalize on their potential to stay ahead of the curve.

Organizations — particularly those with high security and compliance requirements — need a customizable way to explore and innovate with artificial intelligence and other new technologies. This is why we’re happy to introduce OpenOps, an open source platform designed to help organizations experiment with AI in a secure environment they control. OpenOps is a framework of several tools that enables you to test open source AI models in a sandbox.

Katie Schmidt, senior manager of AI/machine learning user experience research, contributed to this blog. Years of user experience (UX) research and customer feedback have shown that building trust is integral to success with AI. With generative AI (GenAI), trust is more important than ever.

With advancements in technology, the integration of AI ticketing systems and automated ticketing systems has revolutionized the way organizations manage their ticketing processes. In this blog, we will delve into the world of AI-powered ticket automation, exploring its benefits, features, and how it can transform your business.

Interest in generative AI and large language models (LLMs) has exploded in popularity thanks to a slew of announcements and product releases, such as Stable Diffusion, Midjourney, OpenAI’s DALL-E, and ChatGPT. The arrival of ChatGPT in particular was a bellwether moment, especially for developers. For the first time, an LLM was readily available and good enough that even non-technical people could use it to generate prose, re-write emails, and generate code in seconds.

We recently ran our first hackathon in quite some time. Over two days, our team collaborated in groups on various topics. By the end of it, we had 12 demos to share with the rest of the team. These ranged from improvements in debugging HTTP request responses to the delightful “automatic swag sharer.” Within our groups, a number of us tried integrating with OpenAI’s GPT to see what smarts we could bring to our product.