Jaroslav Urban

Everyone is talking about Agentic AI. But before you ask "how do we get started?", there's a more honest question worth sitting with: are we actually ready for it?

In industrial environments, agentic AI works as a coordinated system of specialised agents rather than a single model. By combining plant data, internal knowledge, and controlled tool access, it can analyse events, validate actions, and support operations within clear safety and governance boundaries.

An agentic troubleshooting system turns bottling-line fault response from reactive guesswork into a structured process. It gathers the right data, highlights probable causes, and supports safe corrective actions so teams can restore throughput more quickly and consistently.

Agentic AI turns AI from something that answers questions into something that helps get work done. In industrial operations, that means coordinating systems, data, and workflows to support faster, safer, and more reliable decisions.

Experience Autonomous Problem Solving with Our Next-Gen Agentic AI Demo Are machine downtimes and unpredictable errors stalling your production line? Discover how your business can benefit from the next leap in industrial troubleshooting—agentic AI—at our booth during the upcoming SPS Fair in Nürnberg!

The field of Language Learning Models (LLMs) has advanced rapidly, with tools like ChatGPT, GPT-4, and others revolutionizing how we interact with AI. Whether you're an AI enthusiast, developer, or simply curious about the technology, understanding the following key terms is essential for grasping how LLMs function.

SABO Mobile IT, together with its partners CaderaDesign and Grossenbacher Systeme AG, recently showcased its innovative solutions at SPS – Smart Production Solutions 2024 in Nuremberg, Germany. SPS is the leading event for industrial automation and is large platform for demonstrating the latest advancements in smart and digital automation technologies.

Voice assistants are becoming increasingly popular and have already found their way into our everyday lives, especially in the consumer sector. Nevertheless, there are often some questions, both for users and professionals, before either considering the use of a voice assistant or offering it to your own customers. In this blog post, I would like to introduce the topic of data in the context of voice assistants.

A voice user interface, or voice UI, is a technology that allows users to interact with a machine or device using spoken commands or natural language. Instead of using buttons, touchscreens, or keyboards, a voice UI relies on speech recognition software and natural language processing algorithms to interpret and respond to user requests.