Artificial Intelligence Implications with Rumman Chowdhury

Machine learning has improved both in tools and accessibility. Frameworks like TensorFlow create the right abstractions for developers to work efficiently. Educational programs like Metis and Insight Data Science provide a place for developers to learn these tools. As a result, artificial intelligence is becoming easier to develop and more widespread.

Rumman Chowdhury works on artificial intelligence at Accenture. Before her current role, she taught data science at Metis. In this episode, we talk about the current state of artificial intelligence, from the tools available to the long term implications–such as the robot tax recently proposed by Bill Gates.

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