Danielle Waldman

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On November 15, 2018, Danielle Waldman commented on How crowdsourcing is changing the Waze we drive :

Great article! Waze definitely has transformed crowd sharing data. I wonder what the effect on Waze will be with self-driving vehicles? Will Waze no longer be needed or will it be optimized since the self-driving cars can use the Waze data more efficiently? I think the combination of Waze and self-driving vehicles could be very powerful next step in decreasing traffic and increasing safety on the road.

On November 15, 2018, Danielle Waldman commented on Crowdsourcing as the Future of Secret Cinema :

Great article! I had never heard of participatory entertainment previously. I think secret cinema should crowd source content – there is no better way to understand your consumers’ preference than have them tell you what you want! Of course, I think you still need a director to bring the vision to life but with direction of the target audience the director can produce even more powerful content that will resonate with the audience. Experiences are probably the biggest competitor to Secret Cinema right now – millenials have engaged with a trend of being willing to pay for “experience.” Consider AirBnB or Camp No Counselor. When paying for these lodging options, you are paying for an experience rather than just a bed. I think secret cinema should lean into this experience trend.

On November 15, 2018, Danielle Waldman commented on Dear Adidas, you’ve mastered limited releases…what’s next? :

Such a great article! While I do think there is some “cool” factor of 3D printing sneakers that drives demand for Adidas, I believe ultimately people bought the sneakers because they are well designed and more comfortable shoes. 3D printing allows for the most customization of any sneaker to date. This can have a huge impact both on athletes and every-day sneaker wearers. However, I totally agree with your analysis – Adidas needs to do significant customer research to confirm the immense demand and continue to develop products that meet customer needs – whatever those may be!

On November 15, 2018, Danielle Waldman commented on Chanel’s Foray Into 3D Printing :

I love this post! I think Chanel is definitely on the right track by incorporating 3D printing into its brand. I agree with the Lagerfield quotation that high fashion needs to evolve with time. I think Chanel can stay exclusive if they use 3D printing as a way to supplement their designs to make them more personalized rather than use 3D printing to mass produce. Personalizing pieces further will only add to the add to the brands luxury image and consumer loyalty. In terms of counterfeit goods, I am not that worried about counterfeit goods. There are already lots of copy cat versions of Chanel bags and products. People still always value the real version more. Perhaps there can be some non-3D printed label that is placed on all “real” items.

On November 15, 2018, Danielle Waldman commented on The AI Doctor will see you now – Machine learning transforming healthcare :

I can’t wait to see the AI doctor! I think the US healthcare system is facing a lot of challenges that hopefully the AI doctor could help solve. For example, perhaps the technology could make doctors able to diagnose patients faster and thus help decreasing rising healthcare costs in the country. My concern with this technology is that it is only as good as the data we put in. I would worry that doctors would trust the AI Doctor too much and go against their intuition and misdiagnose patients. I think it is critical that confidence intervals are attached to recommendations to avoid this problem.

On November 15, 2018, Danielle Waldman commented on Snowy Cheese Flavored Latte: Starbucks and Machine Learning in China :

Really interesting article Mutian!
I think the largest challenge that Starbucks faces in China is understanding the different consumer behaviors. Consumers in China are fundamentally different than consumers any place else. ML will provide starbucks the necessary data to get a deep sense of consumer preferences. Then Starbucks can adjust their products and experience to satisfy Chinese behaviors better. Starbucks should also consider using machine learning in their supply chain. I would hypothesize that expansion in China comes with many challenges with distribution. ML may help them be more efficient in keep materials fresh and traveling over far distances.