Really cool Rolando! An interesting application I see for something like this is content marketing, a medium that is becoming quite common for companies to use to increase awareness for their products. While in its current form this product “funnels down” information, meaning that it seems to summarize important insights from a large text, I wonder how powerful it could be for going the other way: from some key insights, generate a blog post or article. As a startup founder reflecting on how to balance my scarce resources, this type of solution could save valuable time in content marketing efforts for me.
Great post Pranav Gups! Wondering how the company deploys IoT to complement its software services. Is it built in-house? A new business line for them would be to build IoT components that could be used in adjacent use cases leveraging similar software, like Merrill’s suggestion on crowd management.
Another great post Marcos! It reminded me of the Watson case we had. So many challenges related to organizing data from different sources and extracting meaning to answer specific questions. Very interesting!
What do you think Tempus AI can do differently to succeed where Watson failed?
Why are there no comments on your blog post yet? This is the most exciting blog post I’ve read so far, for the simple reason that I’m reading the words of the person who lead the data team who created these models with amazing practical applications.
I’d love to understand the challenges you faced or you predicted you would face to be able to use this type of data for these models, especially now with the privacy regulation in Brazil.
I’d also love to understand how you thought about building your team and the challenges you faced in recruiting the right talent for this project.
Great article Molefe! My biggest question, and one I’m hoping to answer through my own startup, is what happens when Square encounters a business owner without a FICO score, especially when we’re talking about micro-entrepreneurs? There are millions of professionals that don’t have SSNs in the US today, but with a ton of potential for growth. I don’t know if you have the answer, but this is a question that is constantly on my mind. Is it possible to serve this community with enough alternative data without having the one metric that everybody uses: the FICO score?
As always you nailed it with another amazing blog post! Always love reading your posts!
On the misinformation piece, a more general concern I have is with the power, or more precisely, with the limitations of the power of AI for content moderation. Ethical considerations aside, even if we had the perfect moral compass to judge content, there is still the challenge of nuances of language and images and their context. Now if we also take into account ethical nuances and cultural differences, the problem that was already complex now becomes what some may say impossible to solve. Can AI solve content moderation and all its complexities?
I knew I was going to find a comment from you on this post! I’m torn actually on how churn will play a role in this company in the longer term. The way I understood it, its business model still relies on people remaining on the platform, but has less exploitation for you not to find “the one”…that person who would drive you to finally uninstall the app. I know they’ve built different models to continue engaging users, like with the platonic relationships, but I wonder if the long term result for these dating apps is to eventually become what you initially said you wouldn’t: an app that purposefully exploits the user to ensure they don’t find the one and remain engaged with the app.
Amazing take on the platform! Their monetization power is huge. I loved the data-driven way you were able to explain the reasoning for the initial claim. From a purely cynical view, their business model relies on people continuing to use the platform. If you find the one, you will uninstall the app.
Great blog post! And great idea on moving to B2B as a possible revenue source for BetterHelp. We’ve seen players like Gympass take a similar approach with tremendous success. This B2B play can also be a way to mitigate the threat of disintermediation, at least from the perspective of the end-customer, since in this case it’s a company that might be paying for part of the expense and and it becomes easier to manage this larger stakeholder than many individual customers.
Harvard Business School’s ability to adapt with such speed was impressive by all standards. Even though we can always mention the Dean’s leadership in shaping this new reality, as with many organizations much of the attention is brought to the CEO, the transformation would not have been possible without the massive commitment to quality from all the staff. I’d like to point out the many hours professors took in training and prepping during summer to ensure that the quality of learning would meet the standards of an HBS classroom. This proactive approach from all parts of an organization is commonly seen in mission-driven companies, such as HBS.
With the impressive success in adapting to the pandemic, will this type of learning model be the norm moving forward? Having experienced both models, a full classroom of 90 people debating on complex topics compared to 90 faces (of which I only see 20 at a time with my screen), I believe that the fully remote HBS course is able to reach the same level of debate and standards as the in person classroom. However, just as many believe that culture in an organization also builds based on informal chats between meetings and stronger bonds happen in person, I wonder what the toll is on many of the social benefits the in person class brings to an MBA experience.
InstaCart was a lifesaver during the pandemic! As with many companies that rely on gig economy to make the economics work out, I wonder how regulatory pressure will play a role on InstaCart’s unit economics.
As a consumer, the rapid scaling of InstaCart’s workforce also had implications on quality of service, which were brushed off during the pandemic as excusable errors. In a post-covid world, will InstaCart be able to better balance growth with quality?
DocuSign is a clear case of riding the wave of accelerated trends of digitization that came with the covid-19 pandemic. Even if people still distrusted such a system, many were forced to use it out of necessity.
The high dependence on PC to use the application has left out a key portion of the market, with many companies operating mainly over their phones. This untapped market has started to be addressed in Brazil for instance, with rising players such as zapsign.com.br starting to own the e-signature experience on mobile channels such as WhatsApp.