Knowledge transfer is a central aspect for companies – from onboarding to further training to the introduction of new processes and programs. The use of AI to create content and support employees opens up completely new possibilities for intuitive learning experiences that promote staff and relieve the burden on companies. Using four real-world use cases, NTT DATA shows how the technology takes learning in the corporate environment to the next level.
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While smart models are already being used for content creation and translation work, the full potential cannot currently be foreseen. One thing is clear: AI will fundamentally change the way companies communicate knowledge. The focus is primarily on personalizing the content, which transforms brittle presentations and questionnaires into a flexible learning system and adapts to individual requirements.
In practice, AI models become teachers who adapt to the learning needs of individual employees and thus ensure the greatest possible learning success. The diversity of possible areas of application shows how great the potential lies in the interaction of AI and corporate learning:
Learning in a virtual environment. Applying new knowledge in practice is an important part of any learning process. By simulating real environments, companies can accompany their employees step by step in implementing the learning material, for example when repairing virtual devices. But use cases such as training presentations in front of a large audience are also possible in this way. An AI analyzes the facial expressions and gestures of the speakers or provides feedback on eye contact and speaking speed. This feedback is incorporated into the following exercises in order to specifically improve weaknesses.
Adaptive learning methods. Learning in the future will be more flexible, with AI-based tools determining employees’ level of knowledge based on initial questions, analyzing specific goals and adapting the curriculum individually. This means that thick books and general tests are a thing of the past. Instead, the use of AI supports employees based on their individual strengths, weaknesses and learning pace to ensure efficient and sustainable knowledge transfer. This individualization also increases motivation.
Intelligent chatbots. Beyond public language models like ChatGPT, organizations can train chatbots based on their specific company data, tailored to their exact expertise, topics, policies and customer needs. These chatbots are available to employees as digital answerers as part of corporate learning, answering both educational and technical questions. However, anyone who feeds their own AI with internal, possibly sensitive, data must ensure that the models comply with data protection, cannot be manipulated and also comply with legal requirements with a view to new AI legislation.
Pedagogical transformation. Companies often have in-depth specialist knowledge, but not always the didactic skills to create suitable content for further training, onboarding or workshops. AI can help HR departments to bring new content into a pedagogically appropriate form and to develop courses or presentations from existing ones, for example. In doing so, they make knowledge more accessible – for example through translations, transcriptions, subtitles and summaries.
“Even if the development of AI application areas is far from complete, its use in the area of corporate learning already opens up numerous opportunities for companies to optimally impart internal and external knowledge,” explains Oliver Köth, Chief Technology Officer, NTT DATA DACH . “If you want to exploit the full potential and take the safety factor into account, you should rely on specialized solutions and train your own models. Companies don’t have to start from scratch. The market already offers appropriately pre-trained models and companies can adapt them to their specific requirements using their own data.”
