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The art of data management at scale

Data management is one of the biggest barriers for enterprises to create impact with AI. Simply put, it means that companies often struggle to stay in control of and get value out of their data. In this episode of the AI Change Makers podcast, we talk to Piethein Strengholt, who currently works as a cloud solution architect at Microsoft, about what these typical data management challenges look like and how you can go about solving them.

Start building your AI business strategy

That AI is here, and here to stay is generally known and agreed upon, but how your organization can capture the opportunities of AI and in what way this requires a different type of strategy, remains a challenge for many leaders.

Building global data analytics competencies at Aegon

Aegon started building its data analytics capabilities back in 2013, when they set up the Aegon Analytical Academy together with the training school of MIcompany, now called GAIn. Today, 8 years after its launch, the academy is still running and has upskilled more than 80 employees in AI & data across the company in 11 countries.

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It was a well-structured training, taking us from basics to complex applications. Great to see how interactive you can make a Zoom session. Never stop learning! Gerard Koppelman - Followed training: Bayesian Networks Professor and Lung Pediatrician at UMCG
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27 September 2021

Data management is one of the biggest barriers for enterprises to create impact with AI. Simply put, it means that companies often struggle to stay in control of and get value out of their data.

Read more
27 September 2021

In this episode, we hear from Senior Analytics Consultant Sandra Oudshoff and Management Reporting Manager Jasper van Panhuis how AI and data analytics are being applied at Heineken and what value it brings to their organization.

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27 September 2021

Allard de Boer, Head of Global Analytics at eBay Classifieds Group, talks about the many areas where eBay uses data and AI to improve their platform, how the role of human creativity and problem solving remains critical in the process, and how this sparked an inhouse training program to raise the bar across the whole organization on using data.

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