Welcome to episode 192 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 Siddarth Ranganathan, Director of Data Science, BI & Analytics at Nintex, who are the global standard for process management and automation. Founded in 2006, more than 10,000 public and private sector organizations across 90 countries turn to the Nintex Platform to accelerate progress on their digital transformation journeys by quickly and easily managing, automating and optimizing business processes.

Siddarth is a results-driven professional who is passionate about using a data-driven strategy to uncover insights that lead to actionable recommendations. Siddarth has a strong background in Business & Marketing Analytics, Financial & Statistical Analysis, multi-channel digital marketing and IT with extensive experience and leadership in providing strategic insights across the Technology, Manufacturing, Retail, Wireless and Healthcare industries.

In the episode, Siddarth will tell you about:

What he has learned on his journey so far

Nintex’s impact in process management and automation

His role leading the BI, Data Science and Analytics function

Building the foundations for success

How to structure a successful data science team

Advice on how to make the most of your data science career

To find out more about Siddarth and all the great work happening at Nintex, check out the website www.nintex.com or follow them on Twitter @Nintex. You can also connect with Siddarth on Linkedin.

What did you think of Siddarth’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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