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Drawing on my many years of experience working with data, I aim to support organisations in their transformation into fully data-driven enterprises. Over the last few years, data has become a strategic asset that plays a critical role in informed decision-making and sustainable growth.
AI solutions, particularly generative AI, has reshaped the digital landscape and offer employees many opportunities for them to automate daily tasks and use time wisely by focusing on performing more valuable tasks for them.
However, even the most advanced algorithms or sophisticated solutions are ineffective without strong user adoption.
For this reason, investment must extend beyond technology alone. A strong focus on change management is required to support people throughout their journey towards mastering data- and AI-driven tools, if successful transformation is to be achieved.
This belief is at the heart of DATAVERSE, which is structured in three key components:
Data Lab for experimenting data transformation processes.
Data For Business, for monitoring the latest market trends in the data and AI world.
Data University is focused on building e-resources to support skill development and adoption.