Welcome to episode 435 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 North America and Europe.

Today’s guest is Ivan Galea, VP, Head of Data Science at Atlassian. Founded in 2002, Atlassian build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative and aligned. From medicine and space travel, to disaster response and pizza deliveries, Atlassian’s products help teams all over the planet advance humanity through the power of software. With a team of 7000+ Atlassians supporting an international group of 250,000+ customers, it is their mission is to help unleash the potential of every team.

Ivan is passionate about the power of data to create innovations, change lives and drive business forward. He has over 15 years of leadership experience working with engineering and business applications of new technologies, including at a startup technology firm. Ivan has a proven track record of building and mentoring high-performance teams, and has strong business development experience gained in the technology and financial services industries.

In the episode, Ivan will discuss:

Their mission at Atlassian

The day-to-day life of the Data Science team

Impact that their technology brings to customers

What excites him for the near future at Atlassian

Why Atlassian is a great place to work

To find out more about all the great work happening at Atlassian, check out the website www.atlassian.com or follow them on LinkedIn or Twitter @Atlassian. You can also connect with Ivan directly on LinkedIn.

What did you think of Ivan’s podcast? Where do you see the future of AI and Data Science in the industry heading over the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.

If you’re interested in exploring our latest Data Science &ML jobs, check out our live vacancies or upload your resume today to keep up to date with all the latest opportunities.

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