Digital transformation in R&D departments: How AI-based solutions can help

Few departments in companies are as knowledge-intensive as the R&D department. And unlike other departments, knowledge in R&D does not expire, but must be used again and again. This is especially true for companies where know-how is the most important asset. At the same time, R&D departments mostly have the same problems. They too are […]

Why information management is becoming increasingly important for employees

In companies, more and more employees are sitting at their computers and becoming so-called knowledge workers. These are employees who generate added value not through physical work, but through intellectual work. For these employees, it is elementary to be able to access the company’s know-how quickly and efficiently in order to generate corresponding added value.

Improve Workflows: Capture Research Time Efficiently

Every employee knows how much time they waste every day researching internal information. In management, this is a topic that is only noticed to a limited extent – the employees are there anyway. Yet virtually every employee asks himself the following questions when looking for internal information:
1. Where should I start looking?
2. Which wording can I use best?
3. Whom can I ask for support?

R-Biopharm’s efficiency increase in knowledge management: How young companies & SMEs work hand in hand

Read how R-Biopharm is successfully using amberSearch to transform itself digitally.

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.

amberSearch NRW Nomination for Administrative Challenge

Access to the right information and who collaborates with whom is not just an issue that affects companies. It also affects state governments and administrations. The state of North Rhine-Westphalia, in cooperation with the company PD, has therefore issued a call for tenders to startups for the administration’s biggest challenges.

RAG AI Integration: Transforming Data Management

Hard Coal mining in Germany is history, but the expert knowledge from 150 years should remain. But how can information hidden in millions of documents on numerous servers be made efficiently usable? To solve this problem, RAG is relying on technical innovation and artificial intelligence (AI) to unlock valuable knowledge for employees and make it easily accessible. The company is receiving support from Aachen-based start-up amberSearch (formerly ambeRoad), which is designed to take the company-wide search engine to the next level.

Engineering Solutions by Müller Maschinentechnik

The statistics show it: Accessing the right information in the company is increasingly difficult. For example, every third search in the company already takes between 5 and 25 minutes. What’s more, in 67.5% of all cases it takes at least 3 searches to find the right information. This trend is not only felt by large companies with thousands of employees, but also by medium-sized companies with dozens or hundreds of employees. The reasons for this are trivial: rapidly increasing data volumes, employee fluctuations and an increased number of options for storing information.

Using data from 150 years of coal mining for the tasks of the future

Search engines like Google and others show the way: Enter keywords or a short question and the result you are looking for is there. The “KISS42” project promises the answer to all operational questions for RAG. In cooperation with an interdisciplinary RAG team, the start-up amberSearch from Aachen developed the intelligent search engine amberSearch — designed for the specific data and requirements of the company. It not only helps to make research in RAG’s documents efficient for employees, but above all to make the archived knowledge from 150 years of coal mining usable for current operational tasks.