At a small start-up, the entire development team is often able to fit around a large desk. Here, they are able to come up with ideas together, quickly source an expert for a specific topic or pick up on the insights of their colleagues. This is all very simple when employees know each other and no one is far away. However, the situation is totally different at larger companies. Employees work at different locations, in different teams and on different issues. This makes it difficult for each individual to keep up-to-date and maintain an overview of developments at the company. This can result in employees working on similar topics at the same time without each other knowing, time-intensive research processes or unsuitable cooperation partners.
Thanks to AI, knowledge can now be found at the same location
An AI solution that pools knowledge and interests
How things used to be
Then AI came along
AI applications perform their best in complex situations in which information is scattered across an entire company, different data sources are present, and structured and unstructured data exists side by side. The system first searches through different sources such as document collections, article archives, websites, publications and chats. Processes such as text analysis, information extraction and topic identification ensure that the system automatically identifies the most important topics.
This means that overlaps are discovered and similarities between topics, or even teams that are working on similar topics, are identified.
The situation today
This type of AI solution creates a common knowledge database that experts can rely on. This reduces time spent doing research and leads to better results, approaches for new topics or cooperation can be identified more quickly and parallel work on similar issues is prevented.
Without AI, collecting and reviewing all available information is an arduous process for companies and produces an incomplete picture. Suitable solutions help managers to analyse opportunities for cooperation in a significantly more target-oriented manner.
Thomas Franz, Director of the Technology Advisory Committee, adesso SE
For which companies is the approach suitable?
Any company that undertakes comprehensive research and development activities, especially in industry.
For which decision makers is the approach interesting?
All managers involved in research, sales, innovation management, product development and cooperation management.
Backgrounds for the technically interested
Crawling, topic mining, Hadoop, Elastic
Do you have any questions?
Artificial intelligence is not a replacement for human discussion
Are you wondering what possibilities AI can open up in your company? Would you like to learn more about its applications and the technology? We cannot give you a pack full of stock responses, but we can share with you our specialist knowledge, our curiosity about your company and our passion for technology.
We would be delighted to talk to you.