Conversational AI chatbots are a new vector of artificial intelligence use case that makes the user experience satisfactory, providing immediate response. This technology enables users to converse with applications through various means, such as via text, voice, touch, or gesture, which are closely the same as humans. Users find it much more impressive as they can communicate with their vocabulary and terminologies.

As a YC alum and co-founder of Mattermost, I often get asked by early stage YC companies about what it’s like to build a commercial open source business. With the start-up’s permission, we’ve started recording some of the Q&A sessions, transcribing them and sharing the more popular questions on the Mattermost blog in short form articles.

Just like that Mobile March Madness 2021 is almost in our rearview. Before we look to April, let’s recap some of our most notable mobile updates from this past month with a few tips on how to solve what matters faster and a sneak peek of what’s coming next. That’s right. We’re constantly improving our mobile monitoring solution independent of our alliteration-based marketing campaigns.

In SecOps, knowing which host processes are normally executed and which are rarely seen helps cut through the noise to quickly locate potential problems or security threats. By focusing attention on rare anomalies, security teams can be more efficient when trying to detect or hunt for potential threats. Finding a process that doesn’t often run on a server can sometimes indicate innocuous activity or could be an indication of something more alarming.

My Grafana Labs colleague RichiH recently talked about why IoT and time series databases work so well together. It just so happens that we have a highly scalable time series database on hand. Let’s talk about that. My name is Goutham, and I am a maintainer for Cortex. I have been working on it for nearly three years out of the four-and-a-half years the project has existed. Cortex is built to serve as a scalable, long-term store for Prometheus.

Running an Artificial Intelligence (AI) infrastructure on premise has major challenges like high capex and requires internal expertise. It can provide a lot of benefits for organisations that want to establish an AI strategy. The solution outlined in this post illustrates the power and the utility of the universal Operator Lifecycle Manager (OLM) using Juju, a universal OLM, to create and manage on premise AI infrastructure.

Our community has been at the heart of what makes Mattermost great since the earliest days. The first community members were people who were trying out the earliest versions of the platform, filing bugs and wanting to make feature improvements. Our open source community has grown, contributing thousands of pull requests, from new features and plugins to translations and documentation.