Welcome to episode 266 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.
Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and Europe.
Today's guest is Arun Nagarajan, Chief Technology Officer at BigSpring in New York. Founded in 2017, BigSpring is a mobile lifelong skilling platform with a mission to provide a direct path to employment for everyone. They empower people with the market-relevant skills they need to be gainfully employed and enjoy a high quality of life, and enable employers to measure ROI from learning to establish it as a core business driver and not a discretionary expense.
BigSpring's reach extends globally across over a million learners with customers such as Google, Facebook, Uber, Samsung and AXA Insurance to name a few. The platform offers lifelong skilling for every worker and every job, with use cases including enhancing consumer financial literacy and driving sales channel productivity. BigSpring was rewarded with the "Technology Pioneer 2020" by the World Economic Forum for their cutting-edge technology and impact.
In the episode, Arun will discuss:
His background and current work with BigSpring
What attracted him to join BigSpring
Use cases of the interesting projects they work on
Building a data-driven culture at BigSpring
How they are embracing AI and Machine Learning
What excites him for the future
To find out more about Arun and all the great work happening at BigSpring, check out the website www.bigspring.io or follow them on Linkedin and Twitter @bigspringio. You can also connect with Arun on Linkedin or follow him on Twitter @entaq.
What did you think of Arun's podcast? Where do you see the future of AI and Data Science heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.
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