Great article and to follow on Leonardo comment, I wonder how Uptake is positioning itself compared to in-house solutions. Shell is using a lot of data to improve its operational efficiency (cf. my last blog post) and the company is developing new predictive models powered by AI to basically get access the same visibility offered by uptake.
Any idea how Uptake manages to remain “sticky” once the sensors are put in place and the data collected? I would picture companies avoiding subscription costs by developing in-house competency in parallel.
Great article. I wonder what the artists’ perception of Spleeter is.
As a DJ, it is common to mix tracks and sounds (cf. Soundcloud). For a band, however, would the band agree to have its music/members’ contributions further digitally dissected? Are there different levels of copyright regulations?
As you mention, Deezer is avoiding this issue by not using its copyrighted catalog to train the model however by making it open-source, aren’t they opening a new pandora box?
Great article and interesting challenge to tackle. I agree that collaboration with governments is key and I think Singapore would be a great candidate because of the size of the country, the existing culture around waster management and the fast pace at which the country develops – and invest in new tech.
I am a bit more skeptical of the operational implementation as I foresee sensors getting smudged, sorting robots unable to grab garbages or even requiring too high maintenance. Still, a great topic and challenge!
Interesting article. I wonder how the government of the Philippines perceives such initiative. Is there any plan from the government to co-invest in the necessary infrastructure to improve the domestic logistics network? This last-mile delivery issue seems like one many companies trying to grow in the Philipines will face and an important one to fix.
Interesting article. Many attraction parks are currently exploring options to mine the amount of data gathered on-site to improve customers’ experiences or even lower operating costs. All these opportunities often come at the expense of the privacy of the customers and I am very curious to see how this dilemma will evolve in the future.
Great article. Waymo -as others players in the autonomous car race – gathers enormous amounts of data each second. As you indicated, it is likely that the differentiator for a potential “self-driving” car market leader will not be in the amount of data gathered but in the processing of it. While the storage and processing of all this data need to be in data centers in remote locations, I wonder how much the whole industry can develop before other technologies advance such as quantum computers or at least better data communication such as 5G.
Very interesting business concept. The cultural differences once moving into international expansion will definitely be a challenge! Thank you for sharing.
A very interesting article. There are similar companies trying to pierce into resale fashion and Thred-up seems to do a good job at it. I particularly find the payout as a percentage of listing price to be a brilliant idea. Thank you for sharing!
Thanks for this, a very interesting company. However, call me traditional, I still find beauty in having a piece of art exposed in my house instead of knowing I own a percentage of one I cannot see, possibly exposed on the other side of the planet.
This platform value proposition seems more targeted at opening the door of the art market to financial investors hedging their risk than allowing art aficionado to quench their desire for art. Maybe AI can help fill this gap: https://www.youtube.com/watch?v=IuygOYZ1Ngo.
I really liked the article. In the same category, Drizly is an alcohol E-commerce platform applying an asset-light model that operates in 70 cities in the US and is facing similar challenges. My only concern with these models is the question of trust: do customers trust the platforms to really reflect in-store prices? Do customers trust the person picking and delivering their items?
The online grocery market is growing at an incredible pace and I hope Instacart will not simply try to grow at any cost but will make sure not to erode its value proposition along the way.
Interesting article! I am curious about how the company handles insurance fraud beyond the “Pledge of honesty”. I could picture loopholes where people would fake a theft and trick the A.I. into covering some items that never existed (by gathering expensive items’receipts from their friends for example).
Thank you for this article: it is an interesting and important topic. It is a perfect example of ML applied to an unexpected area and I am convinced the technology will be improved to match -if not outperform- the existing contraception methods. My only concern would be on the cost: do you know if the company plans to partner with the National Health Service in the future? One possible outcome could be to have its membership fee covered by NHS and for Natural Cycles to be offered for “free” to users -as it is the case with the contraception pills nowadays.
Very interesting article.
While Mirror could disrupt the traditional Gym Industry, the retail value of $1,495 for the physical device, plus a $39/month subscription fee seems extremely high compared to the average Gym Membership fees at $58 per month – or $696 per year-. (https://www.healthline.com/health-news/gym-memberships-can-be-a-trap). My concern is that Mirror addresses a high-end small market which could hinder the company’s growth. Do you know if the company plans to extend its line of products and offerings?
How does the company protect itself from privacy concerns and security overall? Aren’t users concerned about adding a camera connected to the web inside their home?