Data science, in itself, is an interdisciplinary field that uses various tools and technologies to interpret, understand, and extrapolate with a goal to discover hidden patterns in data and make relevant, business-oriented decisions.
Research by People Matters in 2018 spoke of a book by Peter Senge where he coined the term ‘Learning Organization’. His rationale behind this term was that organizations that are learning and are flexible, productive, and adaptive to change will excel. The book was published in the 1990s when L&D-based business strategies were just a concept, and now we can see coming true.
Do you often ask yourself, “Do I have the skills to survive in the post-pandemic economy?”
We had the pleasure of speaking with Fiserv’s Dr. Sonal Modi on best practices to implement and champion organization’s upskilling programs in order to thrive in today’s changing work environment. This transcript is a snippet of the conversation and has been edited for clarity. If you’d like to receive the complete recording of the webinar click here.
Step 1: Understand Why Upskilling Is Important? The Skills Matrix is evolving at a faster rate than it did just a decade ago. New skills are being introduced almost every year. 10 years ago Data Science, Machine Learning, Augmented Reality was obscure concepts but now are in high demand in many emerging fields. It is now highly imperative for almost all organizations to ensure their employees are equipped with the right skills and adapt to the changing ecosystem.
‘Digital Transformation’ could very well be the buzzword of the year. But it would be a buzzword that all businesses would have to take very seriously.
