Embarking on a journey with fast-changing technology requires the courage to make mistakes

On the GenAI journey, knowledge makes way for joint exploration

  • Blog
  • 03 Dec 2024
Marc Diepstraten

Marc Diepstraten

Chief Digital Officer, PwC Netherlands

As the new chief technology & innovation officer, Marc Diepstraten is responsible for the digital strategy of PwC Netherlands. The development of generative artificial intelligence (GenAI) is a key part of this. How does an organisation navigate a landscape for which there is no roadmap yet? How do you look for solutions when your current revenue model is under pressure? Find out more in this blog. 

The technological developments we are currently experiencing, including the rise of GenAI, are moving at a rapid pace. Together, we face the challenge of rethinking existing business processes and models while ensuring continuity. 

The fundamental revision of business models

In our many conversations with CEOs, one of the most frequently asked questions we hear is: will my company still exist in ten years, or even five? At PwC, we anticipate a revolution in the coming years, a fundamental revision of business models. The advent of AI is putting a lot of pressure on existing revenue models and opening up new directions. This is especially true where client interaction, speed and the processing of large amounts of data go hand in hand. We are now seeing this for example in the banking, insurance, and consumer industries, as well as in government executive bodies. This requires investment decisions that leverage technology and keep the organisation agile. But in this rapidly changing landscape, it is very difficult to know which investments are the right ones.

From sharing knowledge to exploring together

Our conversations with clients are about data and technology every day – and this is very different from a few years ago. As PwC advisers, we used to share absolute knowledge and solutions, but now we are a discussion partner who presents possible scenarios and directions and explores them together with the client. This is also a new challenge for us as a knowledge institute. It requires us to evolve who we are and how we work with each other and our clients. Of course, we continue to build on our knowledge of a client's critical business processes and of market and societal developments. But today's issues require us to think and work in a completely different way. Discovering, implementing and applying GenAI is a journey that we are exploring and mapping out together with our clients and other stakeholders in an ongoing dialogue.

'Discovering, implementing and applying GenAI is a journey that we are exploring and mapping out together with our clients and other stakeholders in an ongoing dialogue.'

Marc Diepstraten,chief technology & innovation officer PwC Netherlands

Five navigational tips for GenAI travellers 

In the (Gen)AI landscape unfolding around us, there is no set route. There is not even a map. The right approach and applications vary from company to company and sector to sector. We need to adapt our strategies. Fortunately, there are principles you can apply as a company wherever you are on the GenAI journey. Here are five pieces of advice that I believe are relevant to every organisation.

The use of new technologies in your organisation starts both from the top down and from the bottom up. As a leader, develop a vision. Build on the awareness and enthusiasm that already exists on the work floor. As a manager, you may think that your organisation is not doing anything with GenAI yet, but the younger people in your organisation may be much further along in applying it to business processes than you think. You can integrate these bottom-up initiatives into the vision and turn them into broader successes.

On a journey through unexplored territory, you constantly adjust your route based on what you encounter. The same applies to the GenAI journey. You don't know what opportunity or risk is around the next bend. This makes it more important than ever to be flexible. Make plans for six months, twelve at the most, and then revise them based on internal experiences and external developments. 

In the rapid development of AI, technological applications are most often created in co-creation with multiple partners and stakeholders. So, keep the doors and windows open: share your own knowledge, data and benchmarking with the insights of a knowledge partner and the capabilities of a technological partner, learn from others and make decisions together. When you travel together, you will get further.

Among the fastest growing companies at the moment are many new, 'AI-based' players, focusing on a small niche with a lot of specialist knowledge and data. In the future, knowledge should increasingly be combined with the effective use of technology and data. Deliver 'data-driven decision-making' - informed insights and decisions based on data - and focus on the new trinity: brainpower, data and technology. 

Even if you are working with short-term plans of six to twelve months, on the GenAI journey you will need to revisit decisions regularly as developments move even faster than you think, or decisions turn out differently than expected. This requires the courage to fail, to learn and to adapt quickly. Make sure you stay well informed about the latest technological innovations and social developments, as well as movements in the market and among your key stakeholders.

On the GenAI journey, knowledge makes way for joint exploration

Become future-proof and take advantage of all the opportunities of digital innovations

About the author

Marc Diepstraten
Marc Diepstraten

Chief Digital Officer, PwC Netherlands

joined PwC in 1990. He has held several management positions and has been a member of the Board of Directors. In recent years, he has been involved in major transformation projects, for example helping clients to implement a major change in their business model. As chief technology & innovation officer, he has three areas of focus: increasing inclusivity in technological development, new revenue models and the relevance of technology to solving major social issues.
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