Andrew Ng at Amazon re:MARS 2019 | Summary and Q&A

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September 9, 2019
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Andrew Ng at Amazon re:MARS 2019

TL;DR

AI is becoming more accessible, with increased job creation, research papers, and mentions on earnings calls, making it the perfect time for industries outside of software to bet on AI.

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Key Insights

  • 💗 AI has gained momentum with job creation, research papers, and mentions on earnings calls, indicating its growing prominence in various industries.
  • ❓ McKinsey estimates significant value creation in sectors outside of software, highlighting the importance of AI adoption across industries.
  • â™ŋ The accessibility of AI has increased through the availability of talent, ideas, and tools, democratizing access to AI capabilities.
  • 😒 Starting small, automating tasks, and combining AI expertise with subject matter knowledge are effective strategies for finding the right use cases for AI adoption.
  • 🛩ī¸ The transition from big data to small data is vital to enable AI application in industries with smaller datasets.
  • 😒 The use of metal learning for reinforcement learning shows promise in improving robotics applications and overcoming the challenges of varying dynamics in physical systems.
  • đŸĒĄ Leadership is crucial in ensuring the responsible and inclusive adoption of AI, with the need for investments in education, informed government leaders, and thoughtful regulation.

Transcript

please welcome CEO of landing AI Andrew Eng hey everyone it's nice to see so many of you thanks for coming to this um I've been saying for four years now that AI is in the electricity and since then look how much progress AI has made as how much momentum was sustained look at the number of jobs were created according to the recent AI index the numb... Read More

Questions & Answers

Q: How has AI progressed in terms of job creation and research papers?

According to the AI index, deep learning jobs have increased by 35x over a two-year period, and the number of research papers on AI has skyrocketed, indicating the growth and interest in the field.

Q: Why is it important for industries outside of software to invest in AI?

McKinsey estimates $13 trillion in global GDP value creation by 2030 due to AI, with the majority of this growth expected in sectors like retail, transportation, and agriculture, making it crucial for industries to embrace AI for their growth.

Q: How has AI become more accessible?

The rise of talent, with millions of learners enrolling in online machine learning courses, and the abundance of ideas and tools have facilitated the accessibility of AI. Cloud platforms like AWS enable individuals to harness data, compute power, and replicate AI results at an affordable cost.

Q: How can companies find the right use cases for AI adoption?

Companies should start small, gain momentum by working with internal customers to prove the value of AI, focus on automating tasks rather than entire jobs, and form cross-functional teams that combine AI expertise with subject matter knowledge to brainstorm and evaluate projects effectively.

Summary & Key Takeaways

  • AI has made significant progress with job creation, research papers, and mentions on earnings calls, indicating its momentum and accessibility.

  • McKinsey estimates $13 trillion in global GDP value creation by 2030 due to AI, primarily in sectors outside of software such as retail, transportation, and agriculture.

  • The rise of talent, ideas, and tools has made AI more accessible to industries by democratizing access to data, compute power, and educational resources.

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