amberSearch visits Google in its head quarter in mountain view
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.
The hidden costs of poorly retrievable knowledge
In modern companies, more and more information is being digitized and stored, making it more difficult to find the information you need.
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.
Enhancing Business Efficiency by Processing Unstructured Data
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.
“Born to Transform”: Data Insights by amberSearch
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.
Driving Business Success with Better Information Management
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.
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.
Ambersearch is one of the most promising German AI Start-Ups
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).