Welcome to episode 424 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 Michael Goedde, VP of Global Data Operations at ICON plc in Maryland, USA. Founded in Dublin, Ireland in 1990, ICON offer a full range of consulting, clinical development and commercialization services from a global network of offices in 46 countries.  It is their mission has been to help their clients to accelerate the development of drugs and devices that save lives and improve quality of life.

ICON are a global provider of consulting, outsourced development and commercialization services to pharmaceutical, biotechnology, medical device, government and public health organizations. They focus their innovation on the factors that are critical to their clients such as reducing time to market, reducing cost and increasing quality, and their global team of experts has extensive experience in a broad range of therapeutic areas.

In the episode, Michael will discuss:

An insight into the data operations team at ICON

Projects they work on within clinical data and analytics

Their approach to solving Data Science problems

Why culture is number one priority in the company

What excites him for the future at ICON

Growing the team & why work with ICON

To find out more about all the great work happening at ICON, check out the website www.iconplc.com or follow them on LinkedIn, Instagram or Twitter @ICONplc. You can also connect with Michael directly on LinkedIn.

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

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