Many companies need and want to gain experience with generative AI. The introduction of generative AI is therefore on the roadmap of many companies. This blog article is about how to successfully combine in-house expertise with generative AI – within a secure and GDPR-compliant framework – and what to look out for. The introduction of generative AI is not as complex as it first appears.
Generative AI and its use in the company
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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Technical foundations for the introduction of generative AI in companies
Learn all the technical basics you need now if you want to use generative AI in your company.
What is unstructured data? — Different types of data
Data is an essential component of modern society, especially for companies and its employees, as it allows us to make informed decisions, understand complex systems, and learn from the past. There are many different forms of data, each with their own unique characteristics and uses.
Optimizing R-Biopharm’s Processes with Advanced Search
R-Biopharm AG is one of the leading biotechnology companies in Germany. The product portfolio of R-Biopharm AG ranges from analytical instruments in clinical diagnostics to nutrition care products and food & feed analysis. With technically sophisticated products, the former hidden champion from Darmstadt has developed into one of the most relevant players in this market with over 1,400 employees worldwide. However, in order to develop to this level, a lot of specific know-how is needed. R-Biopharm has not only been able to build this up successfully in recent years, but has also increasingly digitalised it.
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.
Learning from the Internet — How AI Simplifies Corporate Searches
Search engines on the Internet have been around for a long time. In 1998, the concept behind Google was introduced by graduates of Stanford University. Today, in addition to the top dog Google, there are other providers such as Bing and DuckDuckGo. Without them, the Internet would probably be an impenetrable jungle for most people.
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.