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Integrating modern AI systems into grown IT landscapes

Integrating modern AI systems into evolved IT landscapesThe integration of modern AI systems into evolved IT landscapes is a challenge that many companies are dealing with today. The development of artificial intelligence is progressing ever faster. German SMEs in particular have to make sure they don’t miss the boat when it comes to digitalisation. There […]

amberAI – ChatGPT for corporate use cases

Few technologies have generated as much hype in recent years as ChatGPT from OpenAI. We have also noticed this and know that many companies are asking themselves how they can also profit from GPT technology. But what many realise relatively quickly: ChatGPT has its limits and is only trained with public data until 2021. But: […]

NLP explained — What is Natural Language Processing?

Natural language processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through the use of natural language. It involves the development of algorithms and models that can understand, interpret, and generate human language.

12 Enterprise Search Use Cases Delivering Business Value

Learn how an enterprise search engine can help you too.
An enterprise search is an internal search engine used by companies to provide their employees with quick access to important information and data. It searches various data sources within a company, such as document management systems, customer and employee databases and project management tools. In today’s digital world, where companies are collecting and storing more and more data, it is becoming increasingly difficult to find the relevant information quickly.

What does the future of information management look like?

On November 3, our co-founder Bastian Maiworm gave a keynote on the information management of the future at the Digital FUTUREcongress in Essen.
His view of things:
Due to the fact that data is growing exponentially and the amount of data silos tends to increase, it is becoming more and more confusing and difficult for employees to access information quickly. Therefore, in the future, there will be a higher-level instance that suggests the relevant information to the employee at the right time.