Not all that glitters is gold: Avoiding fear-based technology decisions

703 2017-10-17T16:45:00.000Z

SWIFT Institute
Berkman Klein Center for Internet and Society, Harvard University

When Larry Page and Sergey Brin were building Google, they realized they could create better search results by looking at links between pages instead of the entire text of the page. While their competitors wasted time and money, Google was able to index the web. Simplicity and speed won over heavier methods. Their variable set was minimized, and they were able to win.

In the rush to implement Blockchain, AI and other technologies, we often include as many variables in as we can. We don't think about the least amount of technology or the least amount of variables to get the job done. The more complexity we have, the more data scientists and consultants we try to throw at it to make sense of things. But what if we started in a different way? What if we removed the number of variables needed to solve the problem in the first place? By taking the time to deeply understand the questions you're trying to answer, what you're optimizing for and the problems you're trying to solve, you'll be able to learn from history and better predict the future of your company. And you'll also be leagues ahead of your competitors.

This presentation will offer methods for you and your organization to step back and see the larger picture before committing to a new technology. Whether hiring a data scientist or making decisions about AI, resisting the pressure of speed in favour of doing it right can ultimately save time, money, security and market share.