Zimplys knowledge base 

Welcome to Zimply's knowledge base. Here, we share valuable knowledge about AI and explain it in a clear and informative manner.

Bild på promt i ChatGPT och Zimply.

Explanatory article with practical tips

How can you use ChatGPT?

Here you get a clear and simple explanation of what ChatGPT is and how you can use it to get the best results - even if you don't have your own AI assistant. We also discuss risks and what users need to consider when using ChatGPT.

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With concrete examples of tasks to automate

Vad is an AI assistant?

Personal, digital, or virtual? Assistants, agents, chatbots, or robots? A beloved child has many names, with 'digital assistant' being a common term, but 'AI assistant' is becoming the most common. Here, we clarify the concepts.

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Ett gäng kollegor pratar med varandra där AI-assistenten Zimply tittar fram.
Bild på person med dator i handen och Zimply avatar som vinkar och ser glad ut. Förklarar Vad är AI?

Short questions and answers

What is AI and IA?

What is AI and IA - artificial intelligence and intelligent automation - really? Do you need to learn a lot of technology? What's the most important thing to understand? Where can you find comprehensive and reliable information? These and other common questions about AI are answered here.

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Advantages, challenges, opportunities, and many concrete examples.

AI - what every CFO needs to know

AI is currently revolutionizing finance departments at a rapid pace. In this article, as a financial leader like a CFO or Finance Director, you will receive practical advice on the most important aspects you need to be aware of as you navigate through this new AI era.

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En bild på en person med en dator och Zimply med en miniräknare.
Bild på en hand som håller i Zimply AI-assistent och med texten RPA.

 A comprehensive guide to Robotic Process Automation.

Learn what you need about RPA

Robotic Process Automation (RPA) is a technology that enables the automation of routine, time-consuming, and repetitive processes by interacting with applications, systems, and data through software robots. How does it work? Why is it important? What are the advantages and challenges?

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