Do you spend a lot of time on research and horizon scanning? This course is about how to make AI your new research partner, from getting a quick overview of new topics to diving into complex questions and analyses. We go through how to structure and automate your monitoring, use the deep research function in AI tools and which pitfalls to avoid. Through concrete exercises you will learn to use AI for research tailored to your needs, both to save time and to stay up to date.
Format: On site
Language: Swedish
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About the course.
Do you spend a lot of time on research and horizon scanning? This course is about how to make AI your new research partner, from getting a quick overview of new topics to diving into complex questions and analyses. We go through how to structure and automate your monitoring, use the deep research function in AI tools and which pitfalls to avoid. Through concrete exercises you will learn to use AI for research tailored to your needs, both to save time and to stay up to date.
COURSE OBJECTIVES:
- Gain a practical understanding of how generative AI can be used in research
- Learn techniques for horizon scanning and competitor analysis with AI
- Know the common pitfalls and how to avoid them
- Test AI tools in practice and build your own research workflows
During the course we use the paid version of ChatGPT. To access all features you need such an account when you take the course. Booked participants receive more information in the joining instructions one week before the course starts.
What you will learn
What you learn.
How research with generative AI works: ways of working, logic and examples
How you can use AI to analyse, for example, competitors, markets, trends, products and planning
Different AI tools for research and when to use which, for example ChatGPT, Perplexity and Gemini
The difference between search and deep research
How to use deep research for complex questions and comprehensive analyses
How to structure and automate your monitoring and research
Common mistakes and how to avoid them
Curriculum
How the course is built.
09.00 Welcome and introduction
- How research with generative AI works
- Different areas where AI can be used in research: analysis of competitors, markets, trends, products and planning
- How AI can help you in your daily information search
- What deep research is and how it can be used
- How to structure the research process with AI
- Introduction to different AI tools and what they are suited for
10.15 Coffee
10.30 Deep research: in-depth research with AI
- How you can make use of deep research
- Formulating effective prompts for specific questions
- How to go from quick answers to in-depth analyses with AI
11.15 Workshop: research in your own field
- Practise writing research prompts and improving your results from the AI tools
- Test and compare results from different AI tools
- Practise deep research relevant to your industry, market or company
12.00 Lunch
13.00 Recurring research and monitoring with AI
- How to build a smart and continuous monitoring flow
- Automate monitoring of different topics and areas
- Create workflows for research and monitoring that save time and keep you up to date
13:45 Workshop: recurring research
- Formulate prompts that help AI monitor, summarise or analyse new information
- Structure and gather research for recurring monitoring
15.00 Coffee break
15.15 Opportunities and limitations
- Important things to consider when searching and doing research with generative AI
- What AI is good at and when you should rely on other methods
- The AI of the future: Trends and opportunities
- How AI affects the consumer journey and decision making
- How AI tools are expected to develop going forward
16.30 Summary and Q&A
- An opportunity for participants to ask questions and reflect on the day's content
17.00 The course ends
Target audience
Who is this for?
For you who work with strategy, analysis, communication, business development or leadership and spend a lot of time on research and finding information. No prior knowledge is required.
What "verified" means here
Verified credential.
When you complete the course, Bonnier Akademi issues your certificate. Your name, the course content and the issue date are encrypted and secured on blockchain, so it cannot be changed, and anyone can check that it is genuine.
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