Thank you, this was very interesting article! Given that this is new technology and it was not tested by years of sending spaceships to the moon, so I assume that safety concerns will be high, as well as how safe and durable as you have mentioned the prototypes will be. This might also entail regulation scrutiny on behalf of NASA / government. So the biggest chunk of the time saved on prototyping can be eaten up by bureaucracy and getting the right paperwork.Is there a way how you can mitigate this issue?
Thanks for your article, it is very interesting. My concern as the customer will be about the safety of the 3D parts, and as safety concerns are very high for the cars, how you think about changing customer perception?
Thank you for the insight, it is very interesting to see how you can use disruptive technological platform solutions like Uber and merge it with ambulance. Did you consider why there is such a break between the cost for taking ambulance for the patient and what is being reimbursed by the insurance versus what are the real costs for the hospital or the vendor to operate the ambulance? Will Ambulnz help in narrowing this break?
There are few financing app solutions like Mint or others, that provide some analysis of your spending across the variety of bank accounts, to-be-paid bills, etc. Do you think that these apps can be competitors to PFM tools? On the other hand, it could work vice versa and put an end to such apps.
Another concern is that such business, as you pointed out, are very dependent on two points: customer trust and data security. In some markets it would be particularly difficult to ensure even one, not to say a word about mastering both. Is there a way how you can approach this trade off without ruining the benefits the technology can bring to the customer?
This article is very interesting given our Beer Game exercise. Are there any other requests by customers, like provide the products just-in-time? Is there any other solutions how machine learning can help to not just accommodate but reduce the variability effects arising from the unpredictable demand and lack of visibility across all levels of supply chain? How does the company differentiate itself from the competitors in this field, as the introduction of high-tech solutions to data analysis is becoming more and more picked up by other players?
I’m not sure if the machine learning is truly going to complement the analysis for the investors seeking alpha (as someone who is coming from the finance/hedge fund background, have to defend it), but I see that some open innovation / technology advances can definitely take over some jobs in finance: trade execution, back office support, risk management analytics, etc. If it’s going to the point of such integration of quant/machine learning, do you think that finance as industry is doomed?
Do you think in some point of time they should merge Aladdin and SAE? It comes to me that these two products should go hand in hand as the ultimate result is to deliver alpha to the investors, and this require to be able to do both: make good decisions and manage risk. I’m not sure how technically advanced Aladdin is compared to SAE.
Thanks for sharing this story, this is amazing how progressive Israel medicare is. Did you consider the implications on the cost for this project? How it differs from the other less technically advanced health providers?
Completely agree. As I was going through the essay, I had the same thought about the recent political “election meddling” clashes between US and Russia. This is the issue where you have to find trade off between the level of control to ensure security and the freedom to pursue innovation and openness to the public initiative. How you can ensure that the input from the public is genuine, rather than produced by organized external movement designed to influence the public opinion?