Rapid Prototyping: How Tom Chi taught me how to think simple and quick, and use everyday items to create a prototype of something as complex as the Google Glass.

10

October

2020

How long do you think the first prototype of the Google glass took the team at Google X to make? The answer is less than one day, and some everyday items to make; a coat hanger, some plexi-glass, a projector and a laptop. To get the dimensions and weight distribution right the team used some modelling wire and pieces of clay, measured to weigh the same as the components that had to go in the glasses.

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How long do you think the first prototype of the Google glass took the team at Google X to make? The answer is less than one day, and some everyday items to make; a coat hanger, some plexi-glass, a projector and a laptop. To get the dimensions and weight distribution right the team used some modelling wire and pieces of clay, measured to weigh the same as the components that had to go in the glasses.

A few years ago I was lucky enough to be part of a Rapid Prototyping workshop by Tom Chi. Tom Chi was head of experience at Google X, now known as just X. X is what Google themselves describe as the Moonshot factory. This R&D facility is responsible for some of Alphabet’s most ambitious projects, both the google glass as well as the self-driving car, now known as Waymo originated at Google X.

This half-day workshop, a shorter version of Chi’s full-day corporate workshop for which he typically charges around $40,000 USD, was generously set up for us as part of the RSM BA Honours Programme. It really changed my mind as to how simple and quick the design of something more complex can be.

Tom Chi’s rapid prototyping philosophy refers to a strategy for driving innovation and solving complex problems. This definition is different from a common definition of the term that specifically refers to Computer Aided Design (CAD), 3D printing and CNC machining. Tom Chi’s definition also isn’t limited to the prototyping of physical products, it can be applied to non-physical products, business processes or other types of problems too.

In my workshop we focused on a business problem that we thought we could solve with the use of software, and within an hour we were able to go from nothing to creating about 20 iterations of the software. Just by drawing out what the UI would look like with pen and paper. Putting it in front of someone that was not part of the creation of the idea, and that was acting like the target customer, without any explanation and reacting to his feedback and interaction with the “program”. This type of rapid prototyping, paper prototyping, was a great tool to help us maximize our rate of learning, by minimizing our iteration time. Sometimes it took mere seconds to update our paper prototype and get it back in front of our pretend customer.

Tom Chi has taught me to think even cheaper and faster to get your ideas validated and problems solved by focusing on the basics, taking your iteration process from months or weeks, to days to get the core elements of your product right. It relates closely to the entrepreneurial ideas of failing fast, validation, focusing on the core elements first and pivoting when something appears to be different than expected, and explores this core concept in a very simple, usable and tangible way. Changing the way I look at innovation, and Entrepreneurship in general.

Sources:

Rapid prototyping Google Glass – Tom Chi. available at https://www.youtube.com/watch?v=d5_h1VuwD6

Fast solutions for a brighter future – rapid prototyping entrepreneurship: Tom Chi at TEDxKyoto 2013. Available at https://www.youtube.com/watch?v=DkyMCCnNI3Q

https://consciouscompanymedia.com/workplace-culture/tom-chis-rapid-prototyping-key-solving-problems/

https://www.tomchi.com/

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AI Startups: Fact or Fiction?

9

October

2020

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It sometimes seems like every new startup leverages the power of AI technologies to transform their industry and change the world. According to the State of AI 2019 report there are about 1600 AI startups in Europe, about 1 in 12 startups put AI in their value proposition. About 16% of AI startups are in their ‘growth’ stage, meaning they have raised over $8 million in capital. Overall AI startups secure higher valuations and raise more capital than equivalent non-AI startups.

This same report also mentions that they reviewed 2830 self-reported AI startups and only 60% appeared to include AI in it’s value proposition. In 2013, only 50 new startups embraced AI technologies. So why are there so many more AI companies today? Do they actually believe in the power of AI, or is it just a technique to benefit from the hype and secure more funding?

One reason for this could be the confusion about the definition of artificial intelligence. Artificial Intelligence generally refers to the simulation of human intelligence, often related to machines simulating cognitive functions like learning or problem solving. But there is no single definition of Artificial Intelligence. There are many different fields in artificial intelligence ranging from machine learning, to image recognition and Natural Language processing. Artificial Intelligence often requires large amounts of data and often has a close relationship with other areas in statistics and data science. This broad definition could cause startups that don’t really use Artificial Intelligence as part of their value proposition to refer to themselves as AI startups, even when they are working on complex data problems using more traditional techniques in statistics and data science.

A second, more malicious, reason could be related to the hype AI receives. Artificial Intelligence has a prominent role in science fiction and there are many news articles of AI beating humans at games and tasks alike. This has created a hype around Artificial Intelligence and startups might try to benefit from this. Hoping it translates into more attention or funding, benefitting the company through deception.

 

Sources:

MMC Ventures (2019) The State of AI 2019: Divergence.

https://www.investopedia.com/terms/a/artificial-intelligence-ai.asp

https://www.edureka.co/blog/top-15-hot-artificial-intelligence-technologies/

https://analyticsindiamag.com/how-to-declutter-the-ai-hype-in-startups/

https://www.wired.co.uk/article/ai-venture-capital-startups

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