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Thanks! Yes the staffing problem is all to real in many countries. You bring up a great point about false alarms. They’re going through alarm fatigue now in many hospitals (https://whyy.org/segments/beep-beep-beep-hospital-alarms-sound-mostly-without-real-cause/) – so many beeps all the time, it’s hard to tell which ones are for real emergencies.

I believe that with more data and more tech and ML, eventually we can train systems to set constraints and send different types of alerts (i.e. passive, active) within those constraints.

Absolutely. Nursing homes are the most regulated industry, second only to nuclear energy (!). DataPredict will definitely need to work with the facilities to follow whatever privacy laws are needed. I would hope/assume they are using some of the funding to build a secure system that has the ability to annonymize data.

For a little more info on some steps care facilities need to take to meet regulations: http://mcgowanprograms.com/blog/ensuring-senior-care-facilities-maintain-proper-hipaa-and-data-breach-compliance/

Really great to see that the DoD is using white-hat hackers to improve security. I definitely think these bug-hunting programs should be expanded to other parts of government. However, I agree with Nick Carraway – I am concerned about security and threats from adversaries. For the right price, a hacker may not disclose a a weak spot and then sell that information to another government. I hope people are better than this and perhaps I’ve just been watching too much Homeland, but I think there needs to be some more security/incentives/something in place to build more trust.

Thanks for sharing!

On November 15, 2018, JuicerJane commented on Can Kialo turn online shouting into enlightened debate? :

Wow, we so need this! Like some other comments already mentioned, I’m also concerned about the bias of moderators on the site. However, I’d definitely prefer moderators (and perhaps a note on some known biases) than a bunch of internet trolls. Wikipedia managed to figure out the open-source thing pretty well and we all now rely on its information and pretty well trust it, so…I do believe there’s potential here. isidewith.com also has a nice way of sorting out pros/cons based on user input for different questions and political topics.

It would be interesting to see Kialo implemented in the comments section of online newspapers. I always get frustrated at the lack of logic, rational and “feelings vs facts” presented and believe that Kialo may add a lot of value if implemented in existing applications (FB threads could be another use case). One of my co-workers and I were thinking about this problem a few months ago and thought one potential solution would be to have a “‘Did you read this?’ question” in online newspapers before being allowed to comment. It would ask something specific about the article that wasn’t in the title or first paragraph to (at least try to) encourage people to go beyond the headline.

In any case, thank you for bringing my attention to Kialo – I know where I’ll be spending way too much time now!

On November 15, 2018, JuicerJane commented on What’s your alibAI: rise of recidivism reducing robots :

Wow I really loved your article, thank you! It’s so neat to see how ML is being used in all different kinds of industries and places.

I am concerned about how leaving decision making to machines will affect our future society. As much as humans will ‘check’ or ‘overlook’ things, at some point we will become dependent on machines and trust them to make the right decision (i.e. not paying attention in driverless cars).

In this case, however, it seems that the data is being used just for forecasting purposes. What happens after an offender is put into the ‘high, moderate, or low’ group for re-offending? Are they watched differently? Sentenced differently? If the machine in this case is just being used to save time for police officers and has an equal if not better success rate, I think it’s fine to go with the machine. If this data is then being used in ways that would seriously impact either the offender or the public, then I would be much more cautious and want more human integration in the decision making process.

On a personal note – a team in my practice at Accenture worked with the West Midlands Police (https://www.accenture.com/us-en/success-transforming-west-midlands-police) on analytics solutions for body-worn cameras so I used to hear a bit about this – love these worlds colliding!

On November 15, 2018, JuicerJane commented on Additive Manufacturing…For the Body? :

Agreed – Georges, this was really great! I enjoyed hearing that EnvisionTec has embraced open source in order to establish collaboration and further learnings from both the medical and technical communities. I really believe that open source is one of the tenants that allows society to innovate quickly and across disciplines. Not sure where I would be without Wikipedia and on the nerdier tech side, grabcad.com 🙂

Here are my first takes on your questions:
1) I do not believe that doctors should be expected to do the modeling themselves. People go through years of schooling and on-the-job work to become proficient in 3D modeling. We have doctors to save lives and provide healthcare! 3D modeling is not their core competency (nor should it be), and they don’t have the time (and I imagine may not have the interest, either) to learn this new school. I would recommend instead that medical researches work together with engineers to produce the models, and bring in doctors and other experts to review the requirements and drawings before printing.

2) If EnvisionTec has the time, people, and money to continue printing for 6 different sectors – then great! I’d say continue if it makes sense for the business right now.

However, I imagine as the sector grows, competition will increase. If/when that happens, EnvisionTec would be wise to focus on a few specialties and become experts in that area. So – start broad and build their name in this area, and then specialize in order to secure revenues.

On November 15, 2018, JuicerJane commented on How Caterpillar uses Machine Learning to Produce Real ROI :

To John Smithwick – I don’t see Caterpillar’s use of ML in the short term as a competitive advantage for their machinery when put up against competitors. However, I see it as a massive advantage to Caterpillar’s internal efficiencies. Running an efficient, optimized business will lead to savings in time and on the bottom line.

Butterfly – thanks for writing an awesome article! I really liked the line “this short-term program incentivizes dealers to install data collection systems…capturing revenue lines by scheduling preventative maintenance and efficient fleet management.” We’ve been learning so much about aligning incentives in class and how to work well with other business in the supply chain, and I think you captured that perfectly here.

Additionally, I do see Caterpillar expanding more into the services and consulting business. If they can monetize or sell their learnings (or even their data) captured from analytics and ML, they can provide a real service to others. A large part of Accenture’s Digital business is providing services, applications and dashboards to help large companies with tons of data find patterns and understand what the data means. If Caterpillar has developed similar programs that can be leveraged elsewhere, I definitely see potential to diversify into the services/consulting space.

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

As a huge fan of 3D printing I’m upset I didn’t know about GE Additive! Really interesting article, I learned a lot.

With GE selling off Transportation and focusing more on services, it will be interesting to watch and see how Additive grows. I also wonder what approvals and regulations are required for 3D printing parts for engines and other GE products. For the fuel nozzles specifically – how many do they produce on a yearly basis? What are the annual cost savings? For other GE businesses – where else can Additive add value?

The changeover times and costs for 3D printing in a manufacturing setting can be quite large (i.e. changing material, design, time to print – multiple at once? One at a time?, size of printer, etc.). I imagine that it would make a lot of sense for Additive to produce large quantities of the same parts. Does it make sense to continue producing parts for GE engines or other GE business units? Or will GE use its machines to manufacture parts at scale for third party customers?

Additionally, how will GE make sure to stay on top of the latest 3D printing technologies (i.e. printers being able to use more materials, get faster, etc.) in order to stay competitive?

Can’t wait to follow GE Additive from here on out and see where they take the business! Thanks for sharing this article.