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According to a 2020 report from PwC, 81% of banking CEOs are concerned about the speed of technological change, more than any other industry sector. Instead of backing away due to this fear, Rabobank has been able to dive in and transform their organization to move with the pace of innovation.
Rabobank has been on their data journey since 2011, and true to their mission and identity, it has been a team effort from the beginning with support from the top-down at the executive level as well as from the bottom-up from the people putting in place the technology and processes to execute. This kind of collaboration and support certainly helps, but it’s not the only driver behind Rabobank’s transformation around data.
In the past year and a half, Rabobank has completed more than 100 AI projects and has reduced the time to onboard data team members — in particular data scientists — from months to weeks. Their ability to do so comes out of their approach to:
- Organizational structure
- Tackle a wide range of use cases
- Create an innovation funnel for use cases
- The education and upskilling of staff
We spoke to Rabobank’s Roel Dirks, Product Manager Big Data Lab, and Martin Leijen, Business Architect Data WR, to understand their keys to success in each of these areas. Get the full ebook to see how Rabobank is able to execute on and innovate with AI initiatives by leveraging these five initiatives, serving as a model to non-digital native organizations worldwide for successfully increasing digital and AI maturity.