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.
The shortage of skilled workers, increasingly complex products and demanding customers make the work of many industrial companies more difficult. This article explains how digital solutions can make life much easier for commissioning engineers or service technicians on site with customers.
Deep Learning and Machine Learning are two important technologies in the world of Artificial Intelligence (AI) and thus part of the umbrella term Data Science. Although they are sometimes used as synonyms, there are important differences between the two to understand.
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.
The number of knowledge workers in companies has been increasing for years. Knowledge workers require different tools and information bases to work efficiently than traditional employees. As more and more employees move toward knowledge-based work, this article addresses the overall shift in the workforce.
In times of high turnover in the workforce and a shortage of skilled workers, it is becoming increasingly important to keep the right employees in the company. One concept for retaining employees is Employee Experience. This article explains what Employee Experience actually is and how you can improve it in your own company.
As the business world becomes increasingly digital, the need for effective knowledge management grows. With employees staying at companies for shorter periods of time and the experienced baby boomer generation beginning to retire, it is more important than ever to ensure that important information and knowledge is not lost. This means making sure that the right information is available to the right people at the right time, which can be a challenging task given the number of data silos that exist within modern companies. These silos, which can include everything from email inboxes and network drives to CRM and ERP systems, often store information in a decentralized manner, making it difficult for employees to find what they need.
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?
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.
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.
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.
Collaborating with start-ups and corporates can be a rewarding and mutually beneficial experience for both parties, but it can also be a challenging endeavor. To make collaboration successful, it’s important to consider a few key factors.
We have great news for all users of Jira and Confluence: amberSearch is now able to fully search both Jira and Confluence!
The Sunnyvale Start-up Summit, held at the Google HQ in Mountain View, was an excellent opportunity for amberSearch’s CEO, Philipp Reissel, to learn about the latest AI-Developments from Google, network with exciting individuals, and connect with over 30 German start-ups.
In modern companies, more and more information is being digitized and stored, making it more difficult to find the information you need.