Omar Little

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Major League Baseball and Machine Learning: Can the San Francisco Giants Compete in the Analytics Arms Race?
Omar Little
Last modified on November 13, 2018 at 8:17 am
Can a storied franchise recreate itself amid the predictive analytics wave in sports?

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On November 15, 2018, Omar Little commented on YouTube | Machines Cleaning Up Human Content :

Until AI progresses to the point where machines can understand the nuances of language, humans must remain involved. We have witnessed how online content can be oppressive, offensive, and exploitive for political gain. Unless companies such as Facebook, Twitter, and YouTube control for hate message, they risk losing their audience.

To answer your question – I believe YouTube has a clear responsibility to monitor content first and protect free speech second. As the company’s user base and content volume grow, this must become a company imperative. How costly will this be? Will it be worth it?

On November 15, 2018, Omar Little commented on Crowdsourcing as the Future of Secret Cinema :

I love this idea mainly for the immense opportunities it opens. The film industry lacks diversity, despite the large demand for more diverse films and casts. We saw this play out with Black Panther, Moonlight, and Invisible Figures over the last few years. By enabling viewers to have a voice in what films are produced, diversity expands. One concern I have is related to the consumer demand. Crowdsourcing art sounds challenging. How do we reach a broader audience to ensure diversity?

On November 15, 2018, Omar Little commented on Challenge.Gov – A Model for Government Crowdsourcing :

This article reminds me of an initiative in Canada where advances in FitTech are being crowdsourced. My immediate reaction to Canada and to your article is the security implications. What controls are in place to balance creativity with safety?

On November 15, 2018, Omar Little commented on Additive manufacturing – Will the world’s next mega city drop out of a 3D printer? :

As costs associated with 3D manufacturing go down over time, how far-reaching are the applications? This technology sounds like it can be part of the solution to homelessness. Of course, overcoming regulatory and local political resistance will be challenging. This is something I’ve seen in the Bay Area.

On November 15, 2018, Omar Little commented on Soaring to new heights with additive manufacturing at GE Aviation :

Fun read. From our Boeing case, we learned how difficult it is for airline manufacturers to handle variability in order size, upfront capital costs, and relative consumer power. The operational benefits to GE through additive manufacturing appear to address many of these needs. However, considering how many commercial planes from the late 80s and 90s are in use today, how does GE account for creating “too durable” of a product? Is there sufficient demand?

On November 15, 2018, Omar Little commented on CircleUp – Identifying the next “Big Thing” using Machine Learning :

Interesting post. How does the Helio technology account for “breakout” brands for concentrated market segments? For example, how would one discover and capitalize on a brand that serves a niche consumer segment, such as an effective conditioner for curly hair? I imagine the technology would focus on mass trends.