For a long time, process automation was seen as a topic reserved for large enterprises with extensive IT departments and substantial investment budgets. Mid-sized businesses…
The discussion around artificial intelligence and data protection is becoming more intense as large language models gain wider adoption. Companies that process personal data, whether in customer service, claims handling, or back office operations, face a growing challenge. They must balance innovation with regulatory compliance. Why AI and GDPR often…
Choosing a specific Large Language Model (LLM) is no longer just a technical decision. In today’s AI landscape, factors such as data privacy, response time, licensing models, training data influences, and integration capabilities have become critical when embedding LLMs into enterprise processes. That’s why at ITyX, we consistently follow a…
Artificial intelligence can achieve a great deal, but it does not operate independently forever. Assuming that an AI model will deliver optimal results indefinitely after its initial training is unrealistic. In real-world environments, continuous improvement determines long-term success. This is where AI Ops becomes essential. It functions as both a…
Anyone looking to digitalize service processes will eventually face the question of choosing the right ticketing system. Traditional tools are primarily designed for case management. ThinkOwl goes further. It combines intelligent ticket management with native AI integration and Human-in-the-Loop capabilities. It also places a strong emphasis on automation and transparency.…
Automation has become an integral part of modern service processes. Yet despite the enthusiasm surrounding AI, chatbots, and self-service solutions, one truth continues to emerge: customers expect more than efficiency. They want reliability, understanding, and genuine human connection. This is precisely where the Human-in-the-Loop principle comes into play — and…
Large language models such as GPT-4, Claude, Gemini, or Mistral have made remarkable progress in recent years. Their ability to understand and generate text, and even handle complex tasks, has made them a core component of modern process automation. However, many companies underestimate one important fact: the largest or most…
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