Hanyin Cheng

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This is a great example of the power and limitations of crowd sourcing / open innovation vs. machine learning. Netflix uses machine learning to design new original TV shows and movies. They use data collected from their millions of users to inform writers on potentially popular genres and plot ideas. This innovation process has worked well for them producing hits like House of Cards and Stranger Things. I think Amazon Studios failed because they were only able to get 27,000 submissions over 7.5 years via crowd sourcing. This is not nearly enough data points to produce the really good ideas.

On November 15, 2018, Hanyin Cheng commented on The Missing Piece: How Lego Found Open Innovation at a Critical Time :

We have learned in marketing that customers often don’t know what they really want. Henry Ford is famous for saying that if he had asked his customers what they wanted, they would have said a faster horse. By inviting customers into the LEGO product development process and relying on their design votes, i wonder if the company risks missing true innovation that makes a difference.

On November 15, 2018, Hanyin Cheng commented on Machine Learning at Toppr: Is Personalised Learning the Way Forward? :

I would be curious to see Toppr’s efficacy metrics. Do students who receive their personalized curriculum actually perform better than student’s who don’t, all else equal? While i agree that AI could be leveraged for personalizing content, i see it as a technology that complements rather than completely replace what teachers do.

On November 15, 2018, Hanyin Cheng commented on Say “Helio” to the future of private investing :

I wonder if CircleUp have thought about applying AI to other parts of the VC model. For example, one of the ways that VCs add value as investors is helping startups recruit top talent. Recruiting seems another area that is data rich yet done in an “old school” way today. If CircleUp could add extend their AI capabilities to recruiting, it can help them stay in front of competition.

In order for Stryker to maintain its competitive advantage over the long term, i think it will be important for the company to invest in adjacent technologies like 3D measurement / scanning systems and advanced imaging software. While 3D printing is an area of high innovation today, over time i would expect it to become commoditized like regular printing has. I wonder if the company has thought about this or have made related investments.

On November 15, 2018, Hanyin Cheng commented on Boeing: Making Metal 3D Printing take-off :

Given the huge potential that 3D printing represents for Boeing, I wonder if it would make sense for the company to invest in developing its own 3D printing capabilities. While passively investing in startups is a way to stay on top of R&D in this market, I worry about competitors like GE who have made more aggressive bets (In 2016, GE acquired two metal 3D printing companies for $1.4 billion)