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.
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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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
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.
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.
12 Enterprise Search Use Cases Delivering Business Value
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.
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.
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.