At Grafana Labs, our No. 1 approach when building AI/ML tools is to enable humans (a.k.a. all of us!) to understand complex systems. In other words, we want to make observability still human, but less complicated. (Our second use case? Making social media more fun.) We believe that AI/ML tools in observability should work towards minimizing toil and the need for everyone in your organization to have the same deep domain knowledge about your increasingly complex stack.

This is a vendor guest post authored by the team at Lytix. Lytix being discussed on this blog is not an endorsement by Taloflow or an approval by Taloflow of any of the content contained herein. Taloflow is not compensated for this vendor guest post in any way and presents this post for purely informational purposes and the benefit of site users.

The world population in 2024 is approximately 8.12 billion people. Of these, 4.3 billion people use Google regularly, while 3.74 billion are active users on Meta's platforms. Any disturbance involving these tech giants will surely make headlines, as seen in the recent Google’s Unisuper incident. The scale of these tech companies brings fascinating challenges in every aspect of their operations, including incident response.

When mobile devices first made their way into the workplace decades ago, mobile device management (MDM) provided device-level control and security. As mobile technology advanced, enterprise mobility management (EMM) grew out of MDM to include mobile application management (MAM), mobile content management (MCM) and identity and access management (IAM). Today, EMM gives you a comprehensive approach to managing the various usage and security aspects of mobile devices in the workplace.

We're in 2024, and one thing has become clear: the future belongs to those who can harness the power of artificial intelligence (AI). At Qovery, we are at the forefront of this transformation, integrating AI into our internal developer platform to revolutionize how developers manage their application lifecycles. Our mission is to empower developers with autonomy, efficiency, and deep insights, ensuring they can focus on what they do best — building great software.

Denis Gontcharov is a data consultant who helps aluminum smelters break down data barriers. For the past five years, he has supported the aluminum industry with IT and data services as an independent consultant. Denis also works as a Developer Advocate at the United Manufacturing Hub. Jeremy Theocharis is co-founder and CTO at United Manufacturing Hub. He is an expert in industrial IoT with over seven years of experience leading large-scale IIoT projects in various industries.