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.
Generative AI and its use in the company
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.
Sustainable future: How amberSearch protects the environment through ESG guidelines and ecological measures
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.
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.
Proven tips to enhance search habits in your business
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.
“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).
New product video amberSearch
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.
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.
amberSearch NRW Nomination for Administrative Challenge
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.
RAG AI Integration: Transforming Data Management
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.
amberSearch: Revolutionize Your Data Search
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.
Engineering Solutions by Müller Maschinentechnik
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.
Using data from 150 years of coal mining for the tasks of the future
Search engines like Google and others show the way: Enter keywords or a short question and the result you are looking for is there. The “KISS42” project promises the answer to all operational questions for RAG. In cooperation with an interdisciplinary RAG team, the start-up amberSearch from Aachen developed the intelligent search engine amberSearch — designed for the specific data and requirements of the company. It not only helps to make research in RAG’s documents efficient for employees, but above all to make the archived knowledge from 150 years of coal mining usable for current operational tasks.