Paul-Emile Landrin

Activity Feed

On February 10, 2020, Paul-Emile Landrin commented on SMT: winning by enhancing sports viewership & content with technology :

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.

On February 10, 2020, Paul-Emile Landrin commented on Applied Intuition – Powering Autonomy at Scale :

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, …).

On February 10, 2020, Paul-Emile Landrin commented on The Louvre: Winning at Digital Engagement :

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.