amberSearch

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?

NLP explained — What is Natural Language Processing?

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.

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.

Minimize business risk by providing information

Data growth has never been as fast as it is today, and technologies have never developed as quickly as they do today. In addition, new working models through New Work require a new approach and handling of knowledge and data by companies and employees.

Revolutionizing Information Retrieval through amberSearch

For years, Microsoft Teams has been developing into the central hub of the so-called knowledge workers. And not without success. Teams recently cracked 280 million monthly active users.
So we have exciting news for all amberSearch users:
With our new Teams app, we are picking up users where they spend the majority of their work. From now on, amberSearch users can also start a search from Teams.

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.