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Most companies lack a broad AI strategy

AI is developing rapidly and it is becoming increasingly easier to implement in business operations. Most organisations are already experimenting with various applications, but it is usually limited to specific projects that are separate from a broader vision. An overarching AI strategy is often lacking, essential for its practical and safe deployment. This strategy should not only focus on innovation, but also on ensuring safety, compliance, and ethics. Implementing AI without a clear vision can lead to inefficiencies, such as tools that work against each other, or to serious risks, such as data leaks or algorithm discrimination. With an overarching strategy, people can also learn better from each other's outcomes and designs. How do we label the outcomes of the AI ​​and how do we ensure that quality is guaranteed? With all kinds of separate projects within the organisation, this learning effect will be minimal without proper coordination.
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Dotcom-downfall

The current AI trend is similar to the rise of the internet 25 years ago, when companies rushed to invest in “dotcom” initiatives without a clear plan. The difference is that AI is already delivering tangible value today through powerful tools. AI can be deployed in an instant, both operationally and strategically. For employees, AI tools such as virtual assistants can automate repetitive tasks and make them more efficient, such as virtual assistants. On the customer side, AI can be used to provide personalised experiences, answer customer questions faster, and offer customised products.


Strategy and direction are indispensable

All these AI applications must comply with the principles of “Trustworthy AI”, as established by the EU. These are: human agency and oversight; technical robustness and safety; privacy and data governance; transparency; diversity, non-discrimination and fairness; societal and environmental well-being; and accountability. This is virtually impossible to guarantee without an overarching strategy and management direction, this is practically impossible to guarantee. In addition to the lack of this strategy, a recurring bottleneck is the lack of a clear person responsible for AI strategies within companies. This role should ideally be taken on by the Chief Information Officer (CIO), Chief Technology Officer (CTO) or Chief Innovation Officer (CINO), in collaboration with management. However, the board must also view AI as a strategic tool that affects the entire company. In addition, training is essential. AI literacy at all levels within the organisation ensures that employees not only understand how AI works and how to use it responsibly.


Full potential

AI is no longer a vision of the future, but a reality that fundamentally changes how companies operate. Without an overarching strategy based on transparency, ethics, and innovation, companies risk falling into the dotcom trap, with significant consequences for safety and efficiency. Just like with the dotcom hype, where everyone rushed to add dotcom to their name, you see this happening with AI: AI implementation, "because then we will also do AI". To really add value, the "why" question must be asked. Only with a clear strategy and direction can companies leverage the full potential of AI.