The human factor in digitalisation

What role do humans play in digitalisation? Are they even necessary? Is the human factor crucial to the success of digitalisation?

The last question in particular can be answered with a resounding “yes”.

Companies that want to integrate AI need strategic planning that actively involves employees. AI does not replace human workers, but complements their skills. It is important that the workforce develops the necessary AI knowledge. However, this requires a proactive mindset, targeted development of digital skills and a corporate culture that views AI as an opportunity.

To master this transformation, companies need to find answers to the following questions: How can we shape change? Which skills does our team need to use AI efficiently? And what are the necessary conditions for encouraging acceptance of AI within the company?

The AI revolution: How artificial intelligence is changing our work

The introduction of AI has already had a lasting impact on numerous industries and fields of activity. In manufacturing, intelligent systems increase the efficiency of production processes, in finance, algorithms analyse complex data and in customer service, chatbots answer simple questions. AI automates tasks that were previously performed manually, thereby relieving staff of routine activities.

But this development is only the beginning. In the next development stage, AI will become more deeply embedded in business processes and tap into new efficiency potential.

• Automating knowledge work: Not only can AI handle repetitive activities, it can also provide support in knowledge-intensive areas, such as analysing large amounts of data or creating reports.
• Individual decision-making support: AI provides employees with information-based recommendations for action that optimise their decision-making processes.
• New forms of synergy: Humans and AI work hand in hand – humans contribute creativity and judgement, while AI provides data-driven insights and automation.

Employees are centre-stage: What qualifications will be required in the future?

Working with AI is also changing the demands on the workforce. Implementation of this new technology places the spotlight on digital literacy. However, this does not mean that everyone has to become a data scientist. It is more about the ability to work with AI-based systems, to critically examine their results and to use them specifically for one’s own tasks.

The characteristics relevant for the future include:

• Data literacy: Employees should be able to understand data and meaningfully interpret AI-generated analyses.
• Digital sovereignty: Critical use of AI technologies and a basic understanding of how they work are crucial factors for detecting and avoiding errors.
• Adaptability: The willingness to embrace new technologies and engage in ongoing professional development is one of the basic requirements.

To specifically develop these skills, companies should proactively invest in continuing education and training. The first step is for managers to get to grips with the fundamentals of artificial intelligence at an early stage. Our AI fundamentals workshop for decision makers provides a comprehensive overview and also covers legal and ethical aspects. This helps companies gain a clear understanding of key measures and suitable strategies before introducing AI.

Creating acceptance for the use of AI: Why is change management important?

The Swiss AI Report 2024 identifies three types of people with varying degrees of openness and attitudes to artificial intelligence. Companies therefore have to take targeted measures to initiate the change process across all groups.

Many employees are sceptical or uncertain about artificial intelligence. The reasons for this can include concerns about job security, inadequate communication within the company or lack of experience in using new systems.

To perceive AI as a support rather than a threat, the following measures are recommended for effective change management:

• Transparent communication: Communicate the reasons for and objectives of using AI to employees early on to ensure transparency and reduce uncertainty. Establish suitable platforms for sharing questions, concerns and opinions. This helps to build trust and promote a positive perception of implementing AI.
• Involve the workforce: Involve employees directly in the implementation of AI. Enable them to actively participate, encourage them to provide feedback and consider suggestions. This will allow you not only to improve the product, but also strengthen ownership and engagement. Designate change agents as central points of contact to support colleagues, clarify outstanding issues and lessen reservations.
• Training and further education: Employees should develop a sound understanding of artificial intelligence and be able to apply it in a practical manner. This requires professional training, which conveys both fundamental knowledge and concrete use cases. Practical workshops with real-life use cases illustrate the added value of AI and demonstrate its wide-ranging potential. Illustrative examples make the content more tangible and firmly embedded.
• Change the corporate culture: Create an environment that promotes innovation. Support a culture that embraces experimentation and digital technologies. Encourage your employees to explore new paths and find creative solutions. Making mistakes is part of the process. Allow your team to learn from these and improve. An open culture of mistakes lessens the fear of risks and motivates new ideas.

Our checklist for successful AI implementation offers valuable assistance for companies. It contains concrete recommendations for getting started with using AI.

bbv – Support from the experts

Implementing artificial intelligence requires a well-thought-out strategy that combines technological advances with targeted employee training. bbv supports companies with a broadly diversified portfolio of consulting services, practical workshops and tailored training programmes:

• Individual AI consulting: What opportunities does AI offer for your company? How can processes be efficiently automated? Our AI consulting provides in-depth analyses and practical recommendations.
• Workshops and training courses: From introductory seminars to specialised training courses – with offerings such as the Generative AI Workshop, companies develop the necessary know-how for using AI.
• Webinar series on AI: Our webinars include specific practical examples and proven methods that provide valuable insights into the successful integration of AI technologies.

Act now!

Artificial intelligence will fundamentally change the working world – but its full potential can only be unlocked if users are properly trained. Companies that invest early on in the digital development of their teams will gain a sustainable market advantage.

Are you ready for the next step? Then take advantage of our custom workshops and our expertise to successfully implement your AI strategy. Contact us today and actively shape your digital future with bbv!