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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Many companies need and want to gain experience with generative AI. The introduction of generative AI is therefore on the roadmap of many companies. This blog article is about how to successfully combine in-house expertise with generative AI – within a secure and GDPR-compliant framework – and what to look out for. The introduction of generative AI is not as complex as it first appears.
Discover how modern information management with “amberSearch” revolutionises efficiency for IT managers through the intelligent combination of enterprise search and AI. Gain access to decentralised systems and improve information discoverability to navigate the dynamic business world with confidence. Increase productivity and control information chaos thanks to this powerful solution.
ChatGPT is the hypetheme of the first half of 2023. We, too, have been wondering how OpenAI’s technology will influence Enterprise Search, as there are certainly intersections due to the processing of large amounts of unstructured data.
Briefly, do we see ChatGPT as a competitor? No, we see the technology as a possible enhancement & enablement to create – properly applied – further added value for our users. However, let’s briefly start with the basics:
Enterprise software can be installed either on-premise or in the cloud. This article explains what consequences this has. In order to understand the added value of the respective solution, you first need to know what exactly is hidden behind the two options.
According to a Statista survey, 82% of all companies surveyed in 2020 said they were already using either private or public cloud solutions. As the current trend is for more and more software solutions to be offered in the cloud, this article takes a closer look at the advantages and disadvantages of cloud and on-premise solutions.
Deep Learning and Machine Learning are two important technologies in the world of Artificial Intelligence (AI) and thus part of the umbrella term Data Science. Although they are sometimes used as synonyms, there are important differences between the two to understand.
The number of knowledge workers in companies has been increasing for years. Knowledge workers require different tools and information bases to work efficiently than traditional employees. As more and more employees move toward knowledge-based work, this article addresses the overall shift in the workforce.
As the business world becomes increasingly digital, the need for effective knowledge management grows. With employees staying at companies for shorter periods of time and the experienced baby boomer generation beginning to retire, it is more important than ever to ensure that important information and knowledge is not lost. This means making sure that the right information is available to the right people at the right time, which can be a challenging task given the number of data silos that exist within modern companies. These silos, which can include everything from email inboxes and network drives to CRM and ERP systems, often store information in a decentralized manner, making it difficult for employees to find what they need.
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?
Collaborating with start-ups and corporates can be a rewarding and mutually beneficial experience for both parties, but it can also be a challenging endeavor. To make collaboration successful, it’s important to consider a few key factors.
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.
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.
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.
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.