Per Gartner, “By 2024, 75% of organizations will have established a centralized data and analytics (D&A) center of excellence to support federated D&A initiatives and prevent enterprise failure.”* These findings underline the critical importance of technical skills in data science and machine learning for their workforces. Meeting this need is made more difficult by an acute talent shortage for these skills, and the difficulty of retaining employees who have them already.
In this complimentary report, Leading Upskilling Initiatives in Data Science and Machine Learning, Gartner examines how organizations can meet these essential skills gaps: “The greatest opportunity for most organizations to grow their talent pool for data science and machine learning is through the upskilling of current staff.”
Download the Gartner report to learn:
- How to raise machine learning and data science awareness, adoption, and literacy by providing centralized educational resources
- How to create a skills inventory to identify in-house “citizen data scientists” ready for development
- How to design an upskilling roadmap to continuously develop experts in these topics
*Source: Gartner, Leading Upskilling Initiatives in Data Science and Machine Learning, Peter Krensy, Afraz Jaffri, 11 June 2021. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used with permission. All rights reserved.