Artificial Intelligence For Social Good

It’s not hard to see machine learning and artificial intelligence (AI) in nearly every app we use – from any website we visit, to any mobile device we carry, to any goods or services we use.
Where there are commercial applications, data scientists are all over it.

What we don’t typically see, however, is how AI could be used for social good to tackle real-world issues such as poverty, social and environmental sustainability, access to healthcare and basic needs, and more.

What if we pulled together a group of data scientists working on cutting-edge commercial apps and used their minds to solve some of the world’s most difficult social challenges? How much of a difference could one data scientist make let alone many?

In this discussion, Raja Iqbal, Chief Data Scientist and CEO of Data Science Dojo, will walk you through the different social applications of AI and how many real-world problems are begging to be solved by data scientists.

You will see how some organizations have made a start on tackling some of the biggest problems to date, the kinds of data and approaches they used, and the benefit these applications have made on thousands of people’s lives.

You’ll learn where there’s untapped opportunity in using AI to make impactful change, sparking ideas for your next big project.

About the Speaker:

Raja Tanveer Iqbal is the Founder of Data Science Dojo, one of the best-rated data science training companies in the world. Data Science Dojo’s mission is to make data science skills accessible to everyone. Raja and and his team have trotted the globe to train over 3,500 aspiring data scientists from 700+ companies.

Raja has a Ph.D. in Computer Science with a focus on computer vision and data mining. He worked at Microsoft Corporation for over six years in various roles, solving problems in organic and paid search.

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About The Author
- Data Science Dojo is a paradigm shift in data science learning. We enable all professionals (and students) to extract actionable insights from data.

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