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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Digital Workplace
DB Regio AG – Revolutionising customer service together

DB Regio AG – Revolutionising customer service together

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:

What are you waiting for – are you still searching or have you already started finding?

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!

Best practice incl. example: How companies define an AI use case

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.

AI introduction checklist – your guide to successfully implementing generative AI in your company

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

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

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

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

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

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

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?

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.

Zentis R&D: Streamlining Knowledge Management

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.

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