How to Build Successful Career in AI/ML

In this roundtable, we will hear different opinions on what would be the best way to build a career in data science. From taking part in Kaggle competitions to Hackathons, there are many paths that can take you to success.

Shana Matthews

Shana Matthews

Senior Program Manager, Microsoft

Locksley Kolakowski

Locksley Kolakowski

Data Science Intern, Zeitworks

Syed Farhan Ahmad

Syed Farhan Ahmad

Microsoft Gold Student Ambassador | Quantum & AI Research Intern, IBM

Ayon Roy

Ayon Roy

Data Science Intern at Lulu International Exchange

Annanya Vedala

Annanya Vedala

Gold Microsoft Learn Student Ambassador

Other sessions from: Global AI Student Conference

Learning AI/ML: Is University the best place to do it?
Learning AI/ML: Is University the best place to do it?

With many teaching resources available online, including reputable Machine...

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The current state and future of AI
The current state and future of AI

In this roundtable, we get together with AI researchers and evangelists to...

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Build a quiz generator from your notes
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A demonstration on how to create a quiz generator which takes the pictures...

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Anyone can AI with Azure Custom Vision
Anyone can AI with Azure Custom Vision

In this talk, we'll cover the basics of Azure's Custom Vision service....

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How to protect the oceans with AI and Open Source?
How to protect the oceans with AI and Open Source?

Surfrider Foundation Europe NGO has become a reference in the fight for the...

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My Story, the Story AI Tells; Bias & Privacy
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With the new world of AI, there are ethical considerations with implementa...

Alexia Georghiou Alexia Georghiou