On our blog, you will find all the information you need on AI and its use in the company. From technical explanations and references to strategic topics, our blog highlights everything that is relevant to the use of AI in the company and contributes to decision-making.
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Companies should regularly review and potentially adjust their culture and knowledge-sharing practices. To achieve this shift, employees must be motivated to think as a whole, see themselves as content creators and enablers, and share their resources and knowledge openly. Additionally, leadership must establish and reinforce the importance of knowledge sharing, and create a system for storing and organizing information that is easy to use and accessible to all.
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.
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.
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.
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.
At RuhrSummit 2020, amberSearch won the Digital Info Management Challenge by Siemens Energy. After RAG, this is the second major customer for the fast-growing startup amberSearch.