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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.
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Connectors and Features
How to Ensure Successful Generative AI Integration in Your Company
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.
Technical foundations for the introduction of generative AI in companies
Learn all the technical basics you need now if you want to use generative AI in your company.
One copilot to rule them all
In the future, intelligent AI assistants will make our everyday work easier in certain situations. However, it is important to have the right co-pilot in use, namely one that works across all systems. The problem with most assistance system providers is that the assistance is limited exclusively to their own systems. This blog article shows how it can be done better.
Understanding Retrieval Augmented Generation: A New Frontier in AI
Retrieval Augmented Generation (RAG) is an approach that enables companies to use generative AI sustainably. In this blog article, we explain what Retrieval Augmented Generation is and how we use this technique at amberSearch to get the most out of it for our customers.
Retrieval Augmented Generation is an NLP technique for enterprise search applications that solves many of the challenges faced by traditional generative Large Language Models (LLMs).
Use cases with generative AI in companies
What are the use cases with generative AI in companies? Any software is only as good as the use case that needs to be solved. More and more companies are asking themselves how you can use generative AI in the company and how you can combine the information with internal know-how. This article serves as inspiration to develop your own use cases in the company
Zentis R&D: Streamlining Knowledge Management
Thanks to amberSearch’s Enterprise Search, the international foodtech company Zentis works together even more efficiently. The R&D team benefits from centralised access to versatile knowledge in different systems and languages. The CREOS project enables the R&D staff to access information across countries. In phase 1, amberSearch was integrated for German and selected English-language systems, with a group of key users using the new R&D portal in Zentis’ SharePoint. In Phase 2, the collaboration expanded coverage and added translation capabilities. This allows users to search and get results in their preferred language. Both Zentis and amberSearch built know-how and overcame technical challenges such as maintaining access rights and networking with network drives without an additional VPN connection.
What should you choose an enterprise search by?
The introduction of an enterprise search requirement no longer has to be a large and comprehensive project as it used to be, but can be much leaner nowadays. In order not to have unintentionally complex implementations or technologically outdated solutions afterwards, a careful selection of the right providers is required. In order to clearly outline the requirements, we have compiled a short list to help with the selection of an enterprise search.
How to implement an enterprise search?
What technical steps have to be done to implement an enterprise search? You can find it here.
Krämmel Group: Innovation through Intelligent Search Technology
As a third-generation family business, the Krämmel Unternehmensgruppe now has over 200 employees. In the core areas of project development, planning & construction and facility management, the construction company offers its customers the complete construction process from a single source. In this way, the Krämmel group of companies has been guaranteeing high quality for its customers for more than 75 years and thus lives up to its own motto “Building made easy”.
ChatGPT & Enterprise Search: Enhancing Corporate Knowledge
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:
amberAI – ChatGPT for corporate use cases
Deep Learning vs. Machine Learning – Understanding the Differences
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.
What is unstructured data? — Different types of data
Data is an essential component of modern society, especially for companies and its employees, as it allows us to make informed decisions, understand complex systems, and learn from the past. There are many different forms of data, each with their own unique characteristics and uses.
Optimizing R-Biopharm’s Processes with Advanced Search
R-Biopharm AG is one of the leading biotechnology companies in Germany. The product portfolio of R-Biopharm AG ranges from analytical instruments in clinical diagnostics to nutrition care products and food & feed analysis. With technically sophisticated products, the former hidden champion from Darmstadt has developed into one of the most relevant players in this market with over 1,400 employees worldwide. However, in order to develop to this level, a lot of specific know-how is needed. R-Biopharm has not only been able to build this up successfully in recent years, but has also increasingly digitalised it.