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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On 6 September 2023, amberSearch was invited to Station Berlin to present a solution on how to automate customer dialogue with the help of generative AI at the Zukunft Nahverkehr trade fair as part of the DB mindbox Accelerator. This pitch was won by amberSearch. Here is a recording of the pitch:
Use generative AI to break down internal data silos. Find out how it works with an AI search here!
How can generative AI be used across systems and why are the systems of other providers not suitable for this?
Wondering what impact AI will have on your company’s knowledge management? We explain how you can use AI in knowledge management!
New Work with AI enables a completely new mindset in the company. We explain what companies need to know
This AI introduction checklist reveals exactly what needs to be considered when introducing an AI solution!
Multi-hop question answering (multi-hop Q&A) is a method for generating better quality answers in the field of generative AI applications. As a further expansion stage of a Retrieval Augmented Generation (RAG) system, the aim is to consider all aspects of the prompt as far as possible before an answer is generated. This blog article explains this technique.
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.
Learn all the technical basics you need now if you want to use generative AI in your company.
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.
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).
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
Our Microsoft Copilot comparison clearly shows that amberAI offers some distinct advantages over Microsoft Copilot in several key areas. With a competitive price point, amberAI enables broad accessibility to generative AI, while Copilot is burdened with higher costs. The increased data protection and clear compliance with the GDPR by amberAI underlines its responsibility and commitment to protecting customer data, in contrast to Microsoft’s less transparent approach. The cross-vendor functionality of amberAI allows for equivalent treatment of results regardless of systems, while Copilot is limited in terms of Microsoft platforms.
Learn how private AI is changing the way we use AI models. Discover how the practice of private AI makes it possible to train algorithms using only your own data to create customised solutions for your business. Learn more about the benefits of this approach and how it helps preserve a proprietary knowledge base that your competitors cannot benefit from. Read on to understand the concept of private AI in detail and how it differs from public AI models.
You want to know, how to combine your internal information with generative AI without having to upload everything? Than read more about it in this article.