How Would You Beat Artificial Intelligence and Machine Learning Using Jobs-to-be-Done?

How Would You Beat?

Artificial intelligence and machine learning are two technologies that have been improving quickly and definitely in the news. Google, Apple, Microsoft, Amazon, and every big company in China has been investing heavily in AI and machine learning. New companies like Open AI have received over a billion dollars collectively. Currently a lot of money is being invested in venture and in big companies in artificial intelligence and machine learning. So it better be worth it, there better be a return on that investment. So if you are on a product marketing or sales team, how should you use artificial intelligence and machine learning to accelerate your growth? And a good question is should you use it at all? How can Jobs-to-be-Done fit into the ML AI market? Let's find out...
✅ Download our Executive White Paper: "How to Use JTBD To Grow Faster" 👉 https://www.thrv.com/jobs-to-be-done-white-paper
Key moments from today's topic on how you would beat Artificial Intelligence & Machine Learning:
00:00 Intro to Artificial Intelligence and Machine Learning
05:23 Where would AI and ML land on your product roadmap?
08:29 Artificial Intelligence and Machine Learning being the solution to your customer's problem
14:29 Is AI the right tool for speed and accuracy yet?
19:33 ML and AI helping the emotion need of the customer
26:23 What platform do you choose to build Artificial Intelligence on?

✅ Download our Executive White Paper: "How to Use JTBD To Grow Faster" 👉 https://www.thrv.com/jobs-to-be-done-white-paper
Learn more about JTBD: https://www.thrv.com/jobs-to-be-done
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Chapters

1. Intro to Artificial Intelligence and Machine Learning (00:00:00)

2. Where would AI and ML land on your product roadmap? (00:05:23)

3. Artificial Intelligence and Machine Learning being the solution to your customer's problem (00:08:29)

4. Is AI the right tool for speed and accuracy yet? (00:14:29)

5. ML and AI helping the emotion need of the customer (00:19:33)

6. What platform do you choose to build Artificial Intelligence on? (00:26:23)