What legislative initiatives will change and what impact this will have on our AI and data projects

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Work on the laboratory of the future is already underway today. The use of robots, software for data management and standards, and the constant renewal of knowledge demanded by the market are important building blocks for the realization of the laboratory of the future.

As an example, I described the daily work of our scientist Alva in a laboratory in 2033. Such a laboratory may already exist in the most modern companies today. But it is not yet the norm. The term "laboratory of the future" means that the majority of laboratories will work and be structured in this way. Organizations have long recognized that the laboratory of the future is near and that it is necessary for their laboratories to begin today to become the laboratory that the near future requires.

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You can find more exciting topics from the adesso world in our previously published blog posts .All business processes and the value chain of a company are based on data. This realization has become more and more iran consumer email list firmly established in our consciousness in recent years, which is why we reflexively agree with the previous sentence. We are convinced that a targeted and purpose-oriented use of data follows, and indeed must follow, clear rules and strategic goals.

To achieve this, the company becomes a data-driven company. The technologies to be used and the architectures to be used are derived from the defined data strategy and numerous additional roles are introduced as part of a broad data governance initiative. This approach promises to be able to use data smartly and as desired. From the decision-maker to the data worker, information is available with a high degree of flexibility, transparency and traceability, tailored to needs and target audiences. Recently, the focus has been primarily on application-driven use and refinement within one's own departmental boundaries and much less on the boundaries of the company or group.

The (careful) handling of data is not an end in itself, as it promises the company increased sales. However, only a few companies have discovered data monetization for themselves. A direct competitive advantage in a competitive market certainly arises when you know the market and customers well through observation and data analysis. However, the competitive disadvantage is likely to be much greater if you have not generated this knowledge from data.