amberAI vs Microsoft Copilot: A comparison
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.
Private AI – Should you train Large Language Models with your own data?
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.
How can generative AI be combined with in-house data?
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.
Integrating modern AI systems into grown IT landscapes
Integrating modern AI systems into evolved IT landscapesThe integration of modern AI systems into evolved IT landscapes is a challenge that many companies are dealing with today. The development of artificial intelligence is progressing ever faster. German SMEs in particular have to make sure they don’t miss the boat when it comes to digitalisation. There […]
What is an Enterprise Search?
An Enterprise Search is a software that enables employees to easily find company internal information. Read more about the technical challenges and use cases of an enterprise search
amberAI – ChatGPT for corporate use cases
Few technologies have generated as much hype in recent years as ChatGPT from OpenAI. We have also noticed this and know that many companies are asking themselves how they can also profit from GPT technology. But what many realise relatively quickly: ChatGPT has its limits and is only trained with public data until 2021. But: […]
Cloud vs. on-premise solutions – advantages and disadvantages
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 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.
NLP explained — What is Natural Language Processing?
Natural language processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through the use of natural language. It involves the development of algorithms and models that can understand, interpret, and generate human language.
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.