By 2030, more than 85 million jobs might go unfilled, “because there aren’t enough skilled people to take them,” according to Korn Ferry. Top reason for this shortage is multi-fold Candidates lack necessary skills or experience, Candidates lack necessary credentials, Candidates are not a good fit for our organization, Difficulty meeting candidates’ salary expectations To keep pace, they estimate that 58% of the workforce will need to update their current skill sets in order to remain relev...
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By 2030, more than 85 million jobs might go unfilled, “because there aren’t enough skilled people to take them,” according to Korn Ferry. Top reason for this shortage is multi-fold Candidates lack necessary skills or experience, Candidates lack necessary credentials, Candidates are not a good fit for our organization, Difficulty meeting candidates’ salary expectations To keep pace, they estimate that 58% of the workforce will need to update their current skill sets in order to remain relev...
Title - Machine learning as a service Speaker - Garima Bajpai References. - Azure Machine Learning Engineering by Sina Fakhraee, Balamurugan Balakreshnan and Megan Masanz Description - According to Forbes, the global machine learning market is projected to grow to $30.6B in 2024, to orchestrate the scale we need support from DevOps Community. Data Scientists, analysts and engineers need support to manage the complexity. We will explore machine learning as a service, services and tools which c...
Leveecast 's Podcast
By 2030, more than 85 million jobs might go unfilled, “because there aren’t enough skilled people to take them,” according to Korn Ferry. Top reason for this shortage is multi-fold Candidates lack necessary skills or experience, Candidates lack necessary credentials, Candidates are not a good fit for our organization, Difficulty meeting candidates’ salary expectations To keep pace, they estimate that 58% of the workforce will need to update their current skill sets in order to remain relev...
