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CIOs Face a Growing Digital-Skills Talent Gap
CIOs Face a Growing Digital-Skills Talent Gap
Ganesh Subramaniam

Senior Consultant at Draup


CIOs Face a Growing Digital-Skills Talent Gap

24 Jun 2019

Executives are adopting a healthy mix of hiring and upskilling strategies to address the digital skill gap


The recent IT and digital initiatives of CIOs have been promising and have been backing a wave of transformation projects at the company. Digital transformation is already disrupting traditional technologies, with new-age solutions, such as AI & Machine Learning, Analytics, Cloud, and Robotic Process Automation. It is also evident that the new-age skills are not easily acquired due to their rapid evolution. When it comes to addressing skill gaps, the major dilemma organizations face is choosing between skill acquisition and talent acquisition.
CIOs Digital-Skills Talent
To remain competitive and efficient, organizations have tried talent acquisition, but its not suffice as the talent pool remains small. This leads to a skill gap that can only be overcome with a strong upskilling program. CIOs are realizing that the only way to keep up with the digital skills demand is by building a strong framework to train the digitally evolving talents. The major up-skilling areas include machine learning, cloud computing, big data and analytics, cybersecurity and more.
Draup is developing a recommendation engine by leveraging our repository of thousands of skills, courses and certifications and building machine learning elements on top of this data to help enterprises solve a major talent acquisition problem. By combining this recommendation engine with our path predictor offering, we can also provide enterprises with a macro perspective of their talent upgradation programmes. For instance, the below mentioned transition recommended by Draup engine can help a Business analyst transition to Data scientist.
Job Role Transition Business Analyst to Data Scientist
Acquired Skills Microsoft Excel, Business Analysis, SQL, Process Improvement, Microsoft PowerPoint, Microsoft Word, Visio, Microsoft Office, User Stories, Scrum, Business Intelligence, Data Analysis, Quality Assurance, Analytics, Jira, Enterprise Resource Planning, User Acceptance Testing, Tableau.
Skills Required Python, C++, Deep learning, R, SAS, MATLAB, Data mining, regression, Visualization, Machine Learning, Scala, Statistical Modelling, Hive, Spark, Hadoop, TensorFlow, Natural Language Processing, Big Data, Java.
Recommended Courses Applied Text Mining in Python (Coursera), StatLearning: Statistical Learning (Stanford Online), Big Data Fundamentals (edX), Big Data Analysis with Scala and Spark (Coursera), Advanced Programming in Java (Gashler), Data Management and Visualisation, Big Data Analysis: Hive, Spark SQL, Data Frames and Graph Frames (Coursera), Creative Applications of Deep Learning with TensorFlow (kadenze), Introduction to Programming with MATLAB (Coursera).
CIOs are developing an ideal mix of talent and skills acquisition strategies to address the digital skills gap and investing on internal and external ecosystem to beidge the skill gap. Enterprises need to segregate employees into digital role clusters based on their skills and train them based on their ideal evolution path.  Executives are looking for ideal partners that can help them understand the transition of traditional roles based on their skills and workloads to train them and address the skills gap.
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