What Happened
In our upcoming webinar on July 23, we will present a solution that significantly accelerates the analysis of technological logs and registration logs for 1C. Instead of a month-long manual analysis, this task can now be reduced to just a few hours using artificial intelligence algorithms.
Why This Matters
Analyzing 1C logs is critically important for understanding whether the system can handle future loads. With the growing number of users and the transition to new versions of 1C, it’s essential to identify potential issues in advance. Simplifying this process with AI not only saves time but also enhances the accuracy of the analysis, which is especially crucial for large projects.
Context
Technological logs and registration logs contain vast amounts of data that reflect the real performance of the system. Manual analysis of such large datasets often leads to specialists wasting a lot of time and potentially missing important details. Artificial intelligence, on the other hand, offers new opportunities for data processing but requires proper preparation and query formatting to yield quality results.
What This Means
Participating in the webinar will provide insights on how to properly prepare data for AI and construct a sequence of queries to maximize the effectiveness of artificial intelligence in analyzing 1C logs. This knowledge could be the key to successfully launching large projects and enhancing system reliability under increasing loads.
