Exclusive AI guide

Exclusive AI guide

This blog post picks up on some of the topics covered in our free AI guide. For more in-depth information, we recommend the Download our e-book.

Find out more here:

  • Which AI myths dominate the economic discourse
  • Which mind set will help you with AI implementation
  • Why using simple AI assistants is a good start to your AI development journey

Demystification of artificial intelligence

Are you interested in artificial intelligence, but sometimes you lose track of all the news? You are not alone in this. Even professional experts sometimes find it difficult to available technologies correctly and make valid recommendations. In the jungle of business expectations and PR messages, we wanted to categorize the topic for you in an understandable way and have therefore created an AI guide that will help you to get a practical overview of the possible applications of artificial intelligence so that you can quickly implement it. First, however, it is important to correct three widespread misconceptions:

Myth 1: ChatGPT alone is enough for corporate use

ChatGPT alone can be used in internal or external, targeted corporate and

customer communication. Providers who advertise this do not disclose how they integrate the large-language model with their company resources in such a way that the response behavior of the artificial intelligence is adequate and can be monitored and controlled. Most AI providers work with additional methods such as RAG (=Retrieval Augmented Generation)to supplement the general knowledge of artificial intelligence with specific information as appropriate to the situation. However, the set of methods will gradually expand and change over the coming months and years, and progress is already enormous. Our tip: Avoid vendor lock-in in order to be able to react quickly to new developments.


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Myth 2: Artificial intelligence is too risky under data protection law

The use of AI brings new challenges in terms of data protection and privacy.

product liability. For many companies, the implementation of the

General Data Protection Regulation (GDPR) is a resource-intensive task. The many unresolved issues surrounding the use of AI add to the complexity for companies. In times of digitalization, data protection is a field of action that must not slow down technological progress, but must be carried out in accordance with the law. The European AI Act Apart from transparency requirements, there are hardly any legally binding specifications. However, this will change rapidly and dynamically over the next two years. Our tip: Only invest in platforms that are already designed for strict data protection. You can recognize these by comprehensive, flexible user, AI and data management, as well as transparency functions to make human-machine interaction traceable and controllable.

Myth 3: There are still no business cases for the use of generative AI

The size of the company has a huge impact on considerations regarding the use of AI. Large companies are currently tending to initially use generative AI in the area of internal

knowledge management as the risk of AI hallucinations is better minimized internally.

is manageable. However, smaller companies are already demonstrating very well that customer communication can be reliably automated with generative AI if the subject areas are first narrowed down and then gradually expanded. Our tip: Your website or internal knowledge database is an ideal starting point for working with generative AI in customer service and knowledge organization. With a defined catalog of the most frequently asked questions and a platform that makes generative AI usable with its individual content, you can reliably automate the first customer contact points.


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Practical tips, best practices and checklist for the use of AI

Artificial intelligence: What still sounds like an option for innovative pioneers with large budgets today will be the new working standard in three to five years’ time. Every individual and company needs to develop new skills to succeed in this new accelerated, technology-driven business environment. There are no shortcuts for this development path. However, in our AI guide you will at least discover valuable practical tips, tried-and-tested best practices and checklists to help you get started. Just get started, make your first ones, Safe experiences with AI assistants and slowly increase the level of complexity of your AI environment. The introduction of artificial intelligence is

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