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Upskilling and reskilling for talent transformation in the era of AI

IBM Big Data Hub

As the AI era takes shape through digital transformation initiatives, executives and employees alike are contemplating how it affects employment and the skills needed to stay ahead. For example, someone who currently works in data processing might need to embrace reskilling to learn web development or advanced data analytics.

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How healthcare organizations can analyze and create insights using price transparency data

AWS Big Data

The availability of machine-readable files opens up new possibilities for data analytics, allowing organizations to analyze large amounts of pricing data. Using machine learning (ML) and data visualization tools, these datasets can be transformed into actionable insights that can inform decision-making.

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How to unlock a scientific approach to change management with powerful data insights

IBM Big Data Hub

Grasping these opportunities at IBM, we’re increasingly building our specialism in process mining and data analysis tools and techniques we believe to be true ‘game changers’ when it comes to building cultures of continuous change and innovation. So how do you spot this early, and react or even prevent this in a timely and effective manner?

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The art and science of data product portfolio management

AWS Big Data

These data products may be widely used across business functions to support reporting and analytics, and—to a lesser extent—operational processes. He has over 12 years experience in digital transformation within private banking and asset management. In his free time, he is an avid reader of science fiction and enjoys bouldering.