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Artificial intelligence (AI) has been a part of technological innovation since the 1950s, but recent advances in large language models (LLMs) have accelerated its impact. These advancements have sparked widespread excitement, but many are missing the real disruption on the horizon: user experience (UX). As a company deeply rooted in UX innovation, we at InvGate are closely examining how this evolution will unfold.

The third article in our Data Economy series examines what it takes to unlock the opportunities with AI. Based on some of the key findings of our own research ‘Predicting the Data and AI Revolution’ and exclusive insights provided by leaders in the data economy, this piece explores how organizations are currently using AI.

Today’s IT teams face unprecedented challenges as they manage increasingly complex hybrid and multi-cloud environments and vast amounts of data. The pressure to maintain uptime, optimize performance, and ensure security – all while balancing limited resources – has become a daunting task for even the most seasoned professionals. So how can these organizations stay ahead of the curve?

This post was written by Charity Majors and Phillip Carter. In May of 2023, we released the Honeycomb Query Assistant, an LLM-backed feature that lets engineers use natural language to generate and execute queries against their telemetry data. Instead of having to master a domain-specific query language, you can simply type in things like “slow endpoints by status code” and the Query Assistant will generate a relevant Honeycomb query for you to iterate on.