Interesting read. My question is how to verify accuracy of the sources and content when enterprises give full control to the audience. How to find a healthy balance between crowd sourcing and taking control?
Interesting read. Crowd sourcing in my mind could leverage own capital/resources, to help gather ideas from external partners. In capital intensive field this is extremely helpful, including natural science and technology. In entertainment, it has been a trend as well. I believe organizations with extensive capitals are better suited for this concept.
Very interesting read. 3D printing has been a concept for a while but the application at scale is still not seen viable. From either cost or time spent perspective. Another concern is that mass product does not need personalization because personalization is expensive, and the product will not be mass anymore. What do you see this startup’s trajectory moving forward?
Google is leading the innovation in digital advertising. Given the full-stack solution provided, it could track consumers cross device, geo, platforms, etc. The perfect ad is to send the right message to the right audience, through the right channel, at the right time. Given search has very high purchase intent, Google is well positioned to outperform ad products by competitors. Advertisers are moving away from CTRs, how does the new responsive search change the way advertisers track, measure, and evaluate campaign performance?
Interesting read. Baidu’s performance is lagging compared to Tencent and Alibaba on the advertising front. Given ads is more important to Baidu than to Alibaba and Tencent, it is not surprising that they want to open up new avenues to increase the revenue stream. And here comes the voice (search). My main question would be, since Baidu is already struggling to gaining consumer trust based on prior healthcare related scandals due to lack of control, the fact that there are more security risks around this voice technology would probably further exacerbate Baidu’s positioning if things go south again. Is it all worth it from a company’s point of view?
Machine learning can be a tool to mass scan suspicious posts/accounts, but it needs, at least in today’s world, a human touch in the final QA process to make sure everything is accurate. As a social platform, DAU/MAU (daily active users/monthly active users) are key metrics for Twitter. 20% chance of falsely identify will heavily, negatively impact consumer experience that I believe Twitter is not able to afford the severe consequences yet.
Personalization is a key trend in consumer/retail industry. Machine learning enables brands to give a more customized experience to consumers. As tech and athleisure getting bigger, UM is well positioned to enter the broader fitness category. Others that are silimarly well suited are Lululemon, Alo Yoga, etc, whom already did offline fitness classes offerings for years to their consumers. Alo Yoga started to offer online classes already. It’s a matter of when they take things digitally.
Interesting read. When the first eye palette was 3D printed a couple years ago. It caused a stir how this technology will revolutionize the cosmetics industry especially for customized makeup products. However, to date, the adoption or advancement in this application is still not taken off yet in the industry. My understanding is that what truly drives the sale of the products are 1) creative/impactful marketing 2) attractive packaging. So 3-D printing doesnt address either of those, except for the short term boost for the marketing front. What’s your take on that?
Luxury brands are in the latter wave of adopting digital compared to mass consumer goods company. One main reason is that they still value the in-person experience with the customers, given a lot of time it is the experience and superior service make what luxury goods luxury. Luxury brands have long been hesitant taking offline to online. What is your take on the machine learning and digital disruption in terms of in-person consumer experience?