When companies join forces to grow together, this often leads to various challenges. Find out now how the ENTECCOgroup overcomes these challenges with amberSearch.
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.
You are in category
Engineering
What is generative AI: knowledge transfer through the intelligent combination of technology and existing data silos
Use generative AI to break down internal data silos. Find out how it works with an AI search here!
What are you waiting for – are you still searching or have you already started finding?
30 minutes a day – that’s how much time employees spend on internal searches. But you can easily save 40% or more of this time. We’ll show you how!
Why AI can partially compensate for the shortage of skilled labour
With skilled labour becoming a bigger problem in every economy, AI gives a chance on reducing the shortage. We explain, how this could be done.
AI in knowledge management – 5 decisive factors that artificial intelligence is changing for companies
Wondering what impact AI will have on your company’s knowledge management? We explain how you can use AI in knowledge management!
Best practice incl. example: How companies define an AI use case
Learn how to define an AI use case for your own company with our best practice using a concrete example.
New Work with AI – simply think differently!
New Work with AI enables a completely new mindset in the company. We explain what companies need to know
AI introduction checklist – your guide to successfully implementing generative AI in your company
This AI introduction checklist reveals exactly what needs to be considered when introducing an AI solution!
7 tips for defining and implementing an AI strategy for companies
This blog post uses our best practices to explain to companies which aspects a sustainable AI strategy requires.
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.
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
Mastering Information Management in IT: A Strategic Approach
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.
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.