AI is changing business intelligence – Why it does not replace them, but redefines them
AI is changing the way companies handle data. In contrast to the assumption that AI would replace business intelligence (BI), it has rather redefined the basics of BI processes. According to an analysis by heise+, AI is not just a tool for automation, but a platform that allows you to explain data, generate queries and make analytics more accessible to everyone. This makes BI not only more efficient, but also usable for less tech-savvy users. The integration of AI into BI processes enables organizations to gain insights faster and make decisions based on data without having to rely on complex systems.
The change caused by AI is not only limited to the analysis of data. It also affects the way companies interact with information. For example, AI models can detect patterns that human analysts overlook, and they can also make predictions based on historical data. At the same time, the need for human expertise is not reduced, but redefined. AI helps automate routine tasks so that human resources can be focused on more complex problems. This approach strengthens the combination of human intuition and machine mind to make better decisions.
The effects of AI on BI are not only theoretical but also practically feasible. One example of this is the development of Apple’s JACCL library, which makes it possible to run large language models (LMs) on Mac clusters. This technology underlines how AI models can be used in practice to increase the efficiency and scalability of BI processes. At the same time, other developments, such as the call for Cold War-style AI rules, show that the impact of AI on society and the economy is being taken seriously. Researchers from the US and China are calling for security standards to ensure that AI is controlled and used responsibly not only in technology but also in governance.
Another example of the impact of AI on BI is the realization that OpenAI confesses loss of control over its AI models. This underscores that AI is not only a technology, but also a challenge to control and security. At the same time, it shows how important it is to integrate AI into BI processes in order to take advantage of the benefits without ignoring risks at the same time. AI is changing BI not only in practice, but also in theory, by laying the foundations for a new form of decision-making.
## What this means for users The AI module in xynap supports the integration of AI into BI processes to make analytics more accessible and efficient.