The Human Side of AI: Manuj Aggarwal

Show Notes

Is your business ready for AI? Are you?
Frankenstein technology or loyal servant?

Episode 191 (Manuj is based in Vancouver BC)


In this conversation with Manuj Aggarwal we explore:


  • The promise and threat of Artificial Intelligence

  • The possible impact of AI on your business success

  • How AI can improve healthcare

  • How to teach music to millions of students

  • How you are already using AI almost every day

  • And much more


About our guest Manuj Aggarawal:


He started as a $2/day factory worker. Now he is a global thought leader in Startups and AI who speaks in the boardrooms of Fortune 500 companies. 


President Obama and Bill Gates have praised his education technology.


You can follow or connect with him on Linkedin


https://www.linkedin.com/in/manujaggarwal/


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Excerpts from this conversation with Manuj Aggarwal:


Whatever AI learns it is based on the data that humans produce through their real actions in the world. AI then uses that data and says, Oh, okay, this is how humans behave.

So let me help them produce more data. So you know, it's a circle that we are in where technology and humans interact with each other to produce more and more data.


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And the idea here, again, is lthe repetitive tasks, which we have come to know as our job that can be offloaded to AI.


But what that will produce is more time for us to focus on more creative efforts, more efforts where we can really understand human needs for what people are looking for.


I was talking to a neurosurgeon, and they said that 80% of their time goes into administrative work, like entering data about the patient and things of that nature.


They imagine all that overhead is offloaded to AI, that will free up so much more time for the neuroscientists and physicians to focus on their patients.


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We are working with a corporation, where they are trying to manage a lot of complex infrastructure that they have deployed in the field. And in order to manage all that people are spending like 20 hours a week, in meetings, and spreadsheets and emails.


And that's not very good for productivity. So with automation, and the AI, we can bring it down to maybe a couple of hours of meeting a week, and you know, free up all that time for more growth oriented activities for the company.


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So we really need to start thinking about how AI can solve some real problems, which tend to fall in three categories, save some time, help us save some money, or find areas to make more money.


That's the definition of becoming more productive. Right now. We are not thinking deep enough. We are just trying to automate the existing flows that we have in our life. Of course, it will save money, but sometimes you also need to think whether we even need to do this step. And can we just eliminate it altogether


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