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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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.
Last year, our co-founder Bastian Maiworm was part of the Fujitsu Born to Transform series.
As an expert in unstructured data, he was invited to explain how employees can make information accessible to their staff quickly and efficiently in the future. He also talks about the possibilities in the field of speech recognition.
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.
As part of a rebranding process, we decided to give even more importance to the core of our existence, namely the intuitive finding of the right information in the company. In a first step we developed a new product video, which is branded with amberSearch.
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.
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.
Imagine a search engine that is as easy to use as Google and can search your internal company data for content and advanced search features.
Is this what you want?
Then you should definitely watch the new interview in our founder series, because that’s what Dr. Thomas M. Fischer talks about with Bastian Maiworm and Julian Johannes Reinauer.
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.