General details
EDIHs involved
Challenges
In this rapidly changing digital ecosystem, Artificial Intelligence (AI) has emerged as one of the most promising and advantageous technologies. As a technology that is transforming both our economy and our society, Artificial Intelligence continues to influence multiple sectors, such as healthcare, education, or manufacturing. In the last couple of years, we have seen a rapid growth of AI, marked by advanced generative AI systems, that has highlighted the importance of learning about new technologies and their possible applications.
Companies are now facing the challenge of successfully integrating artificial intelligence into their business processes. This requires not only technical expertise, but also a strategic approach and the ability to manage organisational change. Many companies are struggling not only to build the necessary skills internally but also to find the right methods and tools for AI implementation.
With the intention of promoting and accelerating the implementation of Artificial Intelligence, Crowd in Motion has developed a customised course entitled “Implementing AI - Managing the Change Process” that aims to allow companies to explore how to successfully integrate artificial intelligence into their organisations.
Solutions
The train the trainer course ‘Implementing AI - Managing the Change Process’ offers a comprehensive solution to these challenges. By participating in this course, innovation managers and their colleagues gain valuable insights into the process design of AI implementation. The course provides not only the value insights of experts who share their knowledge about innovation and digital transformation, but it also presents real-life success stories and best practices. Investing in this course is worthwhile, as it helps participants gain a strategic perspective on AI implementation and develop their own AI strategies.
The course seeks to promote and facilitate the introduction of Artificial Intelligence into businesses’ processes, providing a practical and interactive training session. By focusing on the process itself rather than the specific tools used, the course aims to provide valuable input on how to navigate the AI implementation journey.
As a tool to help understand the process of introducing AI into companies, the course provides:
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Expert knowledge from leading professionals
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Real-world success stories and best practices
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Interactive discussions and hands-on exercises
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Networking opportunities with peers from various industries
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Constructive feedback to support your AI strategy
Results and Benefits
Course participants were able to significantly expand their knowledge of AI implementation and gain valuable insights. Through interactive discussions and practical exercises, they are able to directly apply what they learned and develop their own AI strategies. Networking opportunities with colleagues from various industries enables the exchange of experiences and the identification of common challenges and solutions. Constructive feedback from experts helps participants further refine and optimise their AI strategies. The investment in the course has paid off, as participants are now able to successfully manage AI implementation in their companies and increase their companies' digital capabilities. The financial benefits can be seen in higher efficiency and productivity achieved through the successful integration of AI into business processes.
Main impacts:
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Skills development: the course provided not only expert knowledge by leading professionals, but also real world examples that equipped participants with essential AI skills, allowing them to expand their knowledge of how to adopt and effectively implement AI into their companies’ processes and services.
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Improved competitiveness: the course allowed participants to acquire essential foundational AI skills, which enhanced their position in their respective industries, allowing them to get ahead of their peers and deliver upgraded solutions.
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Improved efficiency and cost reduction: the knowledge acquired during the course allowed participants to effectively adopt AI in their companies, leading to automated services, reduction in time and effort required, and improved resource allocation. AI has allowed these companies to reduce administrative tasks and streamline decision-making.
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Strengthened innovation culture: the course provided the knowledge and confidence to improve the capacity of innovation within each company, creating an environment that encourages creativity and continuous improvement.
Perceived social/economic impact
The successful implementation of AI in companies can have significant social and economic impacts. By increasing efficiency and productivity, companies can improve their competitiveness and tap into new markets. This can lead to higher employment and economic growth. Course participants are now able to realise these benefits in their own companies, thereby contributing to the digital transformation of the economy.
On a social level, the successful adoption of AI by both companies and employees can contribute to:
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Higher-quality jobs: By implementing AI into their processes, the companies can reduce repetitive tasks and therefore providing their employees with higher quality jobs and a better work-life balance.
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Empowered workforce: By providing employees with the necessary AI knowledge the company can ensure growth and productivity, enabling participants to enhance their problem-solving skills and improve their employability.
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Sustainable practices: by adopting AI technologies the companies can optimise resource allocation and reduce waste, leading to more sustainable practices and a reduced environmental footprint.
Measurable data
The measurable data can be generally read out in terms of opening up new markets and increasing the work quality when AI is successfully included. More in detail, these points should demonstrate and prove the effectiveness and impact of this Train-the-Trainer seminar and therefore, we expect the following results:
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Knowledge gain: Average knowledge gain of implementing AI in their own companies.
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Practical application: the participants have implemented the methods and tools they learned in their companies.
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Cost savings: Average cost savings per company within one year.
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Productivity and Efficiency increase: participating companies are reporting a productivity increase of at least 10%.
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Successful projects: minimum 5 successful AI projects were launched within one year of the course.
Lessons learned
Do’s:
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Implement an interactive and practical approach: participating in real-life success stories and best practices helps participants develop and optimise their own strategies. For this specific course, we consider that including even more practical exercises and case studies would be important to guarantee participants can directly apply what they have learned.
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Ensure networking opportunities: the opportunity to interact with other colleagues from different industries can provide additional resources and knowledge for participants, ensuring added value to the course.
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Establish a stable internet connection: ensure all participants can benefit from a stable internet connection and a quiet room, verifying other participants are not disturbed and have their microphones off if needed as well as activated when it comes to the interactive part.
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Advise participants to turn their cameras on: to create a collaborative and creative working environment it is important that participants are present and interacting with each other.
Don’ts:
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Do not provide an overly theoretical approach: participants will most likely benefit from practical examples and exercises that can help them effectively apply the knowledge directly to their company.
Other Information
Are you looking to understand the process of introducing AI into your company? Join our interactive training session and explore how to successfully integrate artificial intelligence into your organization.
What you can expect:
✅ Expert knowledge from leading professionals
✅ Real-world success stories and best practices
✅ Interactive discussions and hands-on exercises
✅ Networking opportunities with peers from various industries
✅ Constructive feedback to support your AI strategy
Who should attend?
Young innovation managers and their colleagues who want to deepen their knowledge, expand their network, and gain a strategic perspective on AI implementation.
Don’t miss this opportunity to connect, learn, and take the next step toward AI-driven innovation in your company! 🚀
Course owner: isn - innovation service network Gmbh (Crowd in Motion, Austria)
Presenters:
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Reinhard Willfort, Managing Director, isn - innovation service network
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Jeremias Fuchs, Managing Director, localmind
Need support?
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