{"id":348558,"date":"2024-12-05T20:02:31","date_gmt":"2024-12-05T19:02:31","guid":{"rendered":"https:\/\/sauldie.org\/de\/fuehrungskraefteentwicklung-ki-kompetenz-coaching\/"},"modified":"2024-12-05T20:02:31","modified_gmt":"2024-12-05T19:02:31","slug":"leadership-development-ki-competence-coaching","status":"publish","type":"post","link":"https:\/\/sauldie.org\/en\/leadership-development-ki-competence-coaching\/","title":{"rendered":"KIROI step 9: Leadership development through AI expertise"},"content":{"rendered":"

The Management development<\/b> is becoming increasingly important in an increasingly digitalised working world. Expertise in dealing with artificial intelligence (AI) in particular has become a decisive success factor for managers. transruptions-Coaching supports companies and managers in integrating these skills in order to provide them with targeted support in important projects.<\/p>\n

AI expertise as part of management development<\/h2>\n

Modern managers today not only need traditional management skills, but also a sound understanding of AI technologies. This applies, for example, to the use of data analyses for decision-making, the automation of processes and the promotion of an innovation-friendly corporate culture. Particularly in sectors such as production, healthcare or IT, teaching these skills is part of the modern Management development<\/b>.<\/p>\n

In a manufacturing company, for example, managers learn through targeted workshops how AI can contribute to optimising the supply chain. In the healthcare sector, they are empowered to use AI-based diagnostic systems sensibly. And in the IT sector, the understanding of AI-supported project management tools is constantly evolving. This practical application of AI expertise strengthens the leadership role in various contexts.<\/p>\n

BEST PRACTICE with one customer (name hidden due to NDA contract)<\/b> In a medium-sized technology group, managers were trained in a multi-stage programme on AI use cases. This enabled them to decide more confidently which processes should be automated in a meaningful way and how employees in the organisation can be made enthusiastic about AI solutions. The managers reported greater self-confidence in dealing with the new technologies and better networking within their teams.<\/i><\/p>\n

Methods for developing AI competence in leadership<\/h2>\n

For an effective Management development<\/b> Various learning formats are available in the AI context. These include training, coaching, mentoring and learning on the job, which cover both formal and informal learning processes.<\/p>\n

One example from the automotive industry is the combination of practical training and accompanying coaching, with which managers learn to better manage AI-supported production processes. In the financial services sector, managers are supported by mentoring from experienced AI experts who explain the application of AI models in risk analyses. And in the retail sector, learning-on-the-job promotes the use of AI to personalise customer service by allowing managers to test and reflect on new tools in their day-to-day work.<\/p>\n

These multiple methods allow for individualised support that does justice to different prior knowledge and requirements.<\/p>\n

Practical support through transruption coaching<\/h3>\n

Transruption coaching provides managers with targeted support for projects relating to the Management development<\/b>, especially in the acquisition and implementation of AI expertise. The focus here is on the transfer to everyday working life. For example, the coaching supports managers in the pharmaceutical industry in how they can responsibly utilise AI-supported decision-making processes in product management.<\/p>\n

In the energy sector, on the other hand, managers are supported in realising the added value of AI-supported data analysis in grid control. At the same time, the coaching promotes cultural change by strengthening acceptance of new technologies in the team and providing managers with ideas for communicating with employees.<\/p>\n

Practical tips for successful leadership development with a focus on AI<\/h2>\n

In order to anchor AI expertise in management in the long term, companies should consider a few points:<\/p>\n