The use of teleconsultation has increased by a hundred time since the outbreak. With an exponential growth, and by supporting practitioners and hospitals, Doctolib is building an empire in digital health.
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Paul-Emile Landrin
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Criteo uses AI and Big Data to increase the scope of online advertising by created unique ads for ... each individual customer.
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You made some good points. I think teleconsultations cannot replace all consultations. My personal view is that in a different context, most of them will have to remain in person to be done properly. But Doctolib is expecting telemedecine to grow and sustain in the long term to a size even bigger than today’s. We shall see. I think they will be very successful notably because they are combining lots of different digital solutions, telemedecine being one of them, into their platform.
Great article! I didn’t know about the Work Hub and Uber Medics, I think they are great initiatives. I agree speed and transparency are key to build trust and it would be a great opportunity for Uber to improve its reputation with the public sector.
Very interesting article, especially that you got the view of hotel managers. I think it makes sense to share profit or losses between franchises. However it might be difficult to convince the franchises that are doing better to accept to lose customers. I would be curious to see if managers of such hotels will be willing to get bigger losses in order to help other franchises, that they could consider as their competitors.
Very interesting article on digital transformation!
It’s impressive that 7 out of 8 employees are able to work remotely in such an industrial firm. It shows that Shell has great digital capabilities.
I wondering what it means to be a ‘net-zero emissions company’, if it means exiting the business of fossil fuels for greener energies, this would be an incredible change for the company.
Awesome article! The shooting chart of Curry is fascinating.
I agree its awful to buy a ticket for a game, and realize after that the star player is not playing whereas he was able to. I think it depends on what the club went to optimize whether the game results or the fans’ expectation.
I am not sure games are too predictive to be boring yet. As you said, these algorithms have limits, but also the public doesn’t have access to as many insights as the teams. For example odds that you can find online are not very trustworthy, as they tend to reflect more the ‘gut feeling’ of the crowd. I believe that data analytics could be used on real time to enhance the experience of the fans, like displaying the shooting chart of players during a timeout.
Very interesting Article!
It’s great that this company is engaging in helping to assess the effect of the current situation on supply chain. I completely agree with your conclusion. I am sure they would have great opportunities to help start developping a more digitized gobal supply chain. They could also learn from the current situation to make the global supply chain more black swan proof.
Very interesting! A great example of how can traditionnal indutries leverage data analytics. I wondering what would be the boundary on the data that airlines and suppliers could share with Airbus. Will giving too much information to Airbus decrease their bargain power in future contracts? Could airlines which owns Boeing aiplanes share to Airbus their data from these planes?
Great article!
Having more users could help Turo to improve their services. As a former user of Turo, their biggest problem was their insurance that was not really great (notably because it includes a high deductible). More and more users would give more bargain power to the company to deal with insurance companies. The network effect could have a direct impact for users.
Hey, very interesting article!
It is fascinating that Zoom managed to beat all the top players having far less resources.
Maybe concerning multihoming, it is not a threat if you consider business or universities which pay a premium access. But for regular user who use a freemium version, multi-homing is more a reality. You can easily use another videoconference app already installed on your phone or on your computer. Bridging on other networks – like with Slack as you mentionned – could help to reduce the threat of multihoming by adding differenciating features to the platform.
Hey, interesting article!
I believe the network effect could have a debatable impact. As you explained there is a positive effect, as the more agencies the more value would be added to the platform – as more information would be shared. But this network could also have a negative effect. The more player there are on this platform, the more liability there would be, even if we can track the use and access to information. I believe some agencies would prefer to limit access to sensitive information (like ship logs) and that could deter them to join such network.
Very nice choice – analytics and graphics are really a plus when you watch a game.
The two previous comments where very interesting as well. Maybe if there is such commoditization, SMT could try to target some new customers. One type of customers could be the new trending apps for betting on sport. Gamblers could be very interesting to have real time data to make a decision on when to cash out, the prediction of outcomes would be also very attractive. Maybe sports clubs could be also very interested. We can think about a sport manager or coach getting analytics during or after the game. STM could used its long experience to provide the most valuable insights.
Great article – I totally agree that AV/ADAS companies can really benefit from simulations. It can be really cost savings. I think the question on how to extrapolate the results to the real world seems complex. For instance, even with more and more realistic graphics and physics laws, their would still be scenario that can happen in the real world that nobody think about.
I really like your description about the value chain of data and I totally agree with you on that. I used to work for an AV company that partnered with companies providing sensors. We put some thoughts about which level of data we wanted to integrate, e.g low level (raw data from sensors) v.s. high level (objects, charateristics, …).
Great article Joe, I didn’t know the Louvres was so innovative. That’s not suprising to see Mona Lisa as the place where most people take instagram pictures! I believe they can really improve the experience of the visitor. Another idea is to use technology to manage the huge number of visitors. One of the worst experience people have when they go to the louvres is having to wait in lines for very long time to enter the museum or see specific works of arts. I think data analytics could also help to optimize queeing by dispatching visitors or recommanding on when and which gallerie to visit.