DATAcadabra Junting Lai

How is the pandemic pushing forward the progress of digital transformation? Which stage of digital transformation is your business at? Are you left behind? How do small and medium businesses adopt AI and Machine Learning to their core business? How to really win with Machine Learning?

Let a founder of AI company answer for you!

Guest Speaker: Rebecca Bennett at LAUNCH! https://www.linkedin.com/in/rebeccabennettpmp/

LAUNCH!: https://launchitspot.com/

Article cited: How to Win with Machine Learning (Harvard Business Review)

Hello, World!

Here we democratize the Big Data magic, talking about how data science solves social and business problems, sharing insights and market solutions. Welcome beginners who seek for knowledge, business leaders who want to find solutions, and specialists who are still exploring the Big Data ecosystem.

What I'll cover in this opening episode:


- Wait, what? Our productivity growth over the last decade is zero?
- Intensive AI adopters are winners, and winners are taking all!
- Machine replacing human is not at some day in the future. It's happening!
- Ok, now AI is free, but do you know how to talk to her?
- The easiest way to save the world? No joke, follow this podcast!

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Reference and notes:


- "Productivity" here refers to Total Factor Productivity (TFP), measured by Output / (Capital Input + Labor Input).
- In contrast to the TFP growth, computing powers double (some say already more than double) every two years (Moore's Law)
- According to an OECD report, in the last 20 years, the TFP of top 5% firms increased over 40%, whereas the rest increased by less than 10%. 
- An IMF report shows the slowdown and gap of productivity may be associated with inequality in education and R&D spending.
- Elon Musk's OpenAI: https://openai.com/
- Books mentioned: Prediction Machines: The Simple Economics of Artificial Intelligence by Harvard Business Review; Homo Deus: The Brief History of Tomorrow