Great read! It would be interesting to see if/how Waze, after being acquired by Google, would scale to reach the entire list of countries covered by Google Maps. It would be easy to predict the scalability of such an app in mature markets such as the US, however, I think it would be extremely difficult to grow in the still-developing markets where Google Maps itself is still struggling to gain traction. Also, regarding government regulation, I am quite skeptical about the global adoption of such platforms, in places which are still conservative when it comes to public/private sector partnerships.
Great article, Ryan! As a car guy and a Ferrari fan, this article was very interesting to read. However, as mentioned is some of the previous comments, it is a shame that Ferrari was not a first-mover in this space, giving room for Mercedes-AMG to lead the way in developing their F1 engines using advanced AM techniques. But it is still not too late for Ferrari, as they could find a way to differentiate themselves and benefiting from AM in other aspects, other than the F1 engine. For example, as any driving enthusiast would know, car handling is just as important (if not more important) as speed, and Ferrari could lead the way in using AM to develop more sophisticated suspension, chassis, braking, and aerodynamic systems in their F1 cars, giving their drivers an edge in the more demanding tracks.
This was an interesting read, Georges, as it shows how EnvisionTec is at the forefront of Bio-printing technology. However, it would be interesting to get a glimpse into the success rate of the printed products being transplanted into the human body. With all the advancements in the medical field, to that day patients are still experiencing rejections and complications when it comes to transplanted organs. How does bio-printing tackle this issue? Is the cell mixture generic, developed by the company, or harvested from the patient? If harvested from the patient, how long of a lead time will it require to print an organ?
On another front, how would the company react to ethical dilemmas for assigning the limited capacity to the different patients that need the service (first come, first served vs. based on how critical the condition vs. based on the price the patient is willing to pay!)?
That is an interesting application of machine learning in an industry that I would have never intuitively guessed. However, if this trend would be adopted across multiple players in the industry, I wonder how many companies would use customers’ historical data and purchase decisions to push forward non-customized perfumes, with the illusion that they are. Given that perfumes, and fashion in general, are highly psychological purchases, it would be easy for fraudulent companies to trick customers into thinking that this perfume they just ordered is custom made for them, while in fact, it is just another bottle lifted off the shelf.
That was a very interesting article! Having experience in the Oil & Gas sector, I totally understand the importance of Big Data in the future of the industry, as Owner companies seek to optimize the recovery of their existing fields, and maximize production from their new fields. I also understand the importance of of feeding predictive models with large amounts of data, and the challenges of obtaining it, given confidentiality rules that limit Owner companies from sharing their well information. To tackle this, given your point about strategic partnerships, I have recently read an article about BHGE partnering with Abu Dhabi National Oil Company (ADNOC), buying 5% equity in their drilling arm. This is a strategic partnership in my opinion, as it will enable BHGE to have access to ADNOC’s data, which can be fed into their big data model.