Identify Future Skill Needs to Prepare for the Future of Work

With the rise of AI and associated skills like security, machine learning and deep learning, the Senior Director, Talent and Workforce Analysis at Qualcomm wanted to get ahead of skill needs to ensure the organisation was sourcing talent for future organisational needs. The client turned to Gartner TalentNeuron for an analysis on expiring, evolving and emerging skills. 

Most critical priority

Support organisational resiliency and growth by identifying emerging skill needs and sourcing talent accordingly. 

How Gartner helped

With Gartner TalentNeuron, the client was able to leverage data and insights from TalentNeuron’s data scientists, allowing them to identify the skills Qualcomm will need and the best locations to source talent equipped with these skills in order to ensure future growth and success. 

Business impact

With Gartner support, the client: 

  • future-proofed their talent strategy with data-driven insights on emerging and evolving skills.
  • reduced costs and risks by adjusting the talent strategy to address trends identified with data.
  • improved stakeholder relationships by presenting data-driven strategies and solutions.

Industry:
Semiconductors

Revenue:
Approx. $24 Billion

Employees:
37,000

Contact:
Director of Human Resources

Achieve your most critical priorities with Gartner TalentNeuron™

TalentNeuron, and the data that it provides, helps inform things like our geo strategy, where we should locate a certain R&D center and trying to compare costs in terms of one location versus the other, looking at long-term supply. If we don’t get it right, we don't have the luxury of redoing it because the industry is moving so fast.

Ram Vadivelu

Senior Director, Talent & Workforce Analysis, Qualcomm

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