Tommy Tom

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Solid read! It’s fun thinking about all the other ways Boeing may be able to implement additive manufacturing to their product development life cycle. Another idea is for Boeing reduce the plane maintenance throughput time by creating an on-demand maintenance service that would allow for plane engine parts to be printed in the hangars. The airlines would likely find value through increased plane utilization and ease of managing the maintenance process.

On November 15, 2018, Tommy Tom commented on Open Innovation at Tesla – Time for a Change? :

Very interesting! I was not aware that Tesla was so open with their technology or that they aren’t issuing patent lawsuits against competitors utilizing their technology. I see this as an example of the old adage “a rising tide lifts all ships.” Given that electric car vehicle sales are such a small segment of car sales, it makes sense that opening up their technology to competitors could lift this entire industry. It will be interesting to see if Tesla opens up their battery technology in a similar fashion in the spirit of open innovation.

On November 15, 2018, Tommy Tom commented on Additive manufacturing of hearing aid requiring anatomical precision :

Very interesting piece highlighting a use of technology. Thanks for sharing, and I’m appreciative of your skepticism. It sounds like this might be a case of a company being product-focused and not customer-focused.
One piece of data that I think we could add to this analysis is how many hearing aids does the average customer go through in their life?
If we knew in how many instances one might experience the frustration of a long lead time, we might be able to better assess the true value.

On November 15, 2018, Tommy Tom commented on Crowdsourcing at Amazon: Democratization of TV / Film Content :

Great piece! I appreciate hearing the challenges in addition to the successes as companies work to integrate new techniques. So often we only hear about how these types of things are completely transforming industries and the struggles aren’t shared.
In this specific example, similar to Boreal, the thing I can’t get over is why they weren’t able to dictate the turnaround time to make it more efficient. This seems like it should have been completely within their control.

This is so cool! I love solutions that focus on helping people manage their health and the fact that Twine is figuring out how to do it in an economically and sustainable way is amazing. In addition to the questions you raised, I’m also curious about a couple of others:
1. What participation is required on the part of the patient, and how do you ensure/motivate patient participation?
2. How does Twine account for patient-reported information that could potentially harm the validity of the data that is being used as the input to their machine learning algorithms?

On November 14, 2018, Tommy Tom commented on Fighting Fraud with Machine Learning at American Express :

Thanks for sharing a great perspective on AmEx and machine learning! I do agree with KS’ point that using machine learning to improve fraud detection is becoming table stakes for banks, but in my opinion that doesn’t make it any less exciting. This article ( summarizes the perspectives of the big consulting firms, which estimate that artificial intelligence will add around $1 trillion of value to the banking industry by changing the way banks do the majority of their work. For an industry with thin margins (ROAs of less than 2% and ROEs less than 12%;, this is a tremendous opportunity!