AI-Assisted Testing: Deploying the AI Agents
Can AI support the work of software testers? What could be the role of AI agents? Find out in our blog post.
Understanding Generative AI (Part 2): Microsoft Azure-hosted LLMs and Data Privacy
In the second part of our blog post we will specifically discuss how an LLM hosted in the Microsoft Azure environment can be a good solution to ensure data privacy.
AI Behind the Scenes – Discussing the Practical Side of AI at DSS Consulting’s Workshop
AI behind the scenes: Our workshop focused on real-life experiences and solutions, discussing AI-supported testing, the relationship between AI and compliance, and a real-life case study.
Understanding Generative AI (Part 1): AI Data Privacy Guide for European Companies
In this blog post we provide a general AI Data Privacy Guide and best practices for companies using LLMs.
Demystifying the EU AI Act: Understanding AI Risk Categories
In this blog post we briefly summarize the key provisions of the EU AI Act 2024 about the risk categorization of various AI tools.
Office Efficiency: Working Time and Cost Savings Thanks to RPA
Efficiency in the office? Robotic process automation can help – let us show you how, using real-life examples.
20% Cost Savings on Software Testing: A Success Story from Germany
Cost reduction is always a priority these days, even in software testing. This is how we help our German client to save 20% per year.
Duplicates
One of the key steps in the data quality assurance process is usually the detection and processing of duplicates in databases.
Data Cleansing in Practice
What types of data are affected by data cleansing and how is it done in practice? In our blog post, we answer this question, including some of our previous successful projects.
About Data Cleansing
Previously, we introduced some basic concepts of data or information quality assurance. Now, we will focus on one of its fundamental pillars: data cleansing.
