AI Chatbot Development: Challenges and Learnings
In this post, we share the challenges and key learnings of an AI chatbot development project.
In this post, we share the challenges and key learnings of an AI chatbot development project.
There are cases where using AI tools may even hinder software development. Read the post to find out more.
Can AI support the work of software testers? What could be the role of AI agents? Find out in our blog post.
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: 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.
In this blog post we provide a general AI Data Privacy Guide and best practices for companies using LLMs.
In this blog post we briefly summarize the key provisions of the EU AI Act 2024 about the risk categorization of various AI tools.
Efficiency in the office? Robotic process automation can help – let us show you how, using real-life examples.
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.
One of the key steps in the data quality assurance process is usually the detection and processing of duplicates in databases.