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.
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.
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.
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.
The last few years, especially the summers, have shown us that climate change is not far away, but very close.
As a society as well as a company we will only be successful in the long run if we can rely on a stable society and environment. Hence, we also want to do our part to protect our environment.
New enterprise search engines are making it easier for companies to make unstructured knowledge more accessible and usable for employees. Natural Language Processing (NLP) technology has advanced significantly in recent years, thanks to large transformer models, which allow companies to process unstructured knowledge in new ways. The COVID-19 pandemic has led to a surge in the use of digital collaboration tools, increasing the number of data silos and the amount of documented knowledge, often in unstructured forms such as text, image, audio, or video formats. As the proportion of employees working from home increases, it is becoming more difficult for employees to ask colleagues for information.
Finding the right information quickly and efficiently is a challenge that every business — small or large — faces today. Most business owners or managers know how important it is for their employees to find the information they need quickly and efficiently. Therefore, initial investment in a good filing structure is often made, and retrieval is theoretically considered and attempted to be improved through filing guidelines. In practice, however, employees file their information differently and real problems only arise when a certain amount of data is stored. A good search function, therefore, increases productivity, reduces frustration and helps your team make better decisions.
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.
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.
Every year, the applied.ai initiative, as part of UnternehmerTUM, honors the most promising German Start Ups through several partners. For this purpose, applied.ai has teamed up with strong partners such as innovators and enablers to evaluate the German start up landscape. This jury includes NVIDIA, Google and nine venture capitalists: (Digital+ Partners, Earlybird Capital, eCAPITAL, High-Tech Founder Funds, HV Holtzbrinck Ventures, Lakestar, UVC, La Famiglia and Asgard).
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.
Access to the right information and who collaborates with whom is not just an issue that affects companies. It also affects state governments and administrations. The state of North Rhine-Westphalia, in cooperation with the company PD, has therefore issued a call for tenders to startups for the administration’s biggest challenges.
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.