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Building the Necessary Skills for Digital Transformation

by | Jun 27, 2022

Summary

Industry 4.0 requires a structural workforce transformation in order to drive business transformation, says Daniela Proust, global vice president and head of global people enablement and growth at Siemens. Hear more about why the Automation Alley member feels traditional training methods need to transform on MIT Technology Review's Business Lab podcast.

The skills and capabilities needed to undergo digital transformation are in high demand as every company jockeys to gain a competitive advantage. To address the skills gap, some companies are prioritizing upskilling and reskilling. But to be effective, learning and development itself must undergo a transformation.

According to Daniela Proust, global vice president and head of global people enablement and growth at Siemens, learning and development is at the core of digital transformation. “In light of a major transformation that businesses are facing, either by new business models arising or new innovation and technologies driving a certain business area forward, you see that you need to accompany that structural change, that structural workforce transformation in order to drive business transformation,” she says

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MIT Technology Review

Founded at the Massachusetts Institute of Technology in 1899, MIT Technology Review is a world-renowned, independent media company whose insight, analysis, reviews, interviews and live events explain the newest technologies and their commercial, social and political impacts.MIT Technology Review derives authority from its relationship to the world's foremost technology institution and from its editors' deep technical knowledge, capacity to see technologies in their broadest context, and unequaled access to leading innovators and researchers.The mission of MIT Technology Review is to make technology a greater force for good by bringing about better-informed, more conscious technology decisions through authoritative, influential, and trustworthy journalism.

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From the generational transfer of knowledge to the balance between technical and human-centered skills, from successful AI implementation to lessons learned through failure, this playbook reflects a broad spectrum of perspectives. It is a curated collection of insights from Automation Alley’s network of industry, academia and government partners, all working toward a more resilient, competitive and future-ready workforce in the United States.