The Apple Card is finally here, offering a flashy titanium card engraved with your name next to Apple’s logo. Is it the best credit card in the market? And if it isn’t, why is there so much hype around it?Continue reading “Apple Card is a great jail card”
At Amazon and other tech companies, interview candidates get a lunch break in between their on-site interviews, and a lunch buddy gets assigned to accompany them. This way they can ask any questions they have about the team, the position they are applying to, or anything else that might help them relax. I love acting as lunch buddy because I feel energized interacting with candidates in such an informal setting. This past week, one candidate asked me a very interesting question during our lunch: what do you think makes a good engineering manager?Continue reading “Do you have a terrible software development manager or a great one?”
As a product manager, it is critical to have a meaningful roadmap with a backlog of work. Being able to ideate and constantly iterate makes our products better. However, it is critical that we are able to find which of our ideas are going to be the most impactful ones. Over the past year, my team has been working on refining how we approach this and found some things work better than others. The following are some of the things we found really useful.
1. Understand the goal – the first thing you must do is to really understand what is the goal you and the business are trying to achieve. If there is any misalignment you must align before continuing. It was amazing how many times we went and implemented things where the goal was not understood, or it was misaligned. Having understood this from the beginning would have saved us a lot of time and resources. Understanding the goal will take you to different paths, for example, a goal of driving adoption will lead you to do different things than driving for revenue or usage. If you do not understand this, you will cycle and leave things to chance.Continue reading “Product management and the art of focusing on what matters”
Almost a year ago, Amazon unveiled in Seattle the first store offering no checkout lines, no cashiers, and almost no human interaction: Amazon Go. I reviewed the store the very first day it opened and I wrote about my experience and the many tests I did on that first visit. I called it “the future of retail” on my review.
Since that chilling Seattle night in January, Amazon opened a few more Go stores across the U.S. and even started experimenting with a smaller fully-unattended version. Other industry players have also been making progress, and when Microsoft and Kroger announced that they were testing a futuristic grocery store, I knew I had to try it.
I sold my 1st generation Apple Watch a few weeks ago. Since it was right before Apple’s event, I thought it would be fun to revive my Pebble watch and use it with my iPhone while I waited for the Series 4. The thing is, Pebble was acquired by Fitbit in 2016 and stopped giving support to these old devices earlier this year. After a bit of research, I discovered the light at the end of the tunnel; here’s how I brought a Pebble watch back to life in 2018.Continue reading “How to revive a Pebble watch in 2018”
I joined Microsoft right after college, and during these 9 years I’ve learnt a great deal about technology, the tech industry and about myself. I worked on several iterations of Windows and Bing, using a myriad of frameworks and languages. Nonetheless, the people who I worked with are the highlight of this almost-a-decade, and today I want to share the biggest takeaways I got from them.Continue reading “I’m leaving Microsoft after 9 years. This is what I learned.”
How many times have you heard that Artificial Intelligence (AI) is humanity’s biggest threat? Some people think that Google brought us a step closer to a dark future when Duplex was announced last month, a new capability of Google’s digital Assistant that enables it to make phone calls on your behalf to book appointments with small businesses. You can see it in action here:
The root of the controversy lied on the fact that the Assistant successfully pretended to be a real human, never disclosing its true identity to the other side of the call. Many tech experts wondered if this is an ethical practice or if it’s necessary to hide the digital nature of the voice.
Facebook has been receiving criticism once again for how they handled users’ personal data. Here is a quick summary: in 2013, a 3rd party developer acquired large amounts of data from about 50 million users through an old platform capability (which was removed by Facebook itself one year later to prevent abuse); this data was then used to target US voters during the 2016 Presidential Election. The issue is complex in depth and it highlights a bigger underlying problem: users’ privacy expectations are not aligned with the commitment from most tech companies.
Zuckerberg said in a recent interview with Wired, “early on […] we had this very idealistic vision around how data portability would allow all these different new experiences, and I think the feedback that we’ve gotten from our community and from the world is that privacy and having the data locked down is more important to people.”
Regardless, Facebook never committed to fully lock down users’ data, and their business model was in fact built around the value that data can have for advertisers through interest relevance and demographic targeting. Google and Facebook accounted for 73% of all US digital ad revenue in the second quarter of FY18, up from 63% two years before.
I can nonetheless relate to that idealistic vision between privacy and technology. The more information the Google Assistant knows about the music I like, the better it can personalize my listening experience. Richer actions become available too, like allowing me to control the Nest thermostat or the lights by voice. At the end of the day, I’m trusting Google with my music taste and the devices installed in my house, and I get the benefit of convenience in return.
“The craziest thing I’ve seen is someone who came in dressed in a Pikachu costume,” said an Amazon employee while she handed me a promotional bag with the Amazon Go logo on one side and the text ‘good food fast’ on the other.
I arrived at the new store in downtown Seattle around 7:20 pm and was surprised to see the line of people still reached the end of the block. It had been a cold day in Seattle but that didn’t discourage the hundreds of people who came to see the ‘magical’ store on day 0. I didn’t use the term ‘magical’ lightly here: the experience was truly unique and it felt too good to be true. Amazon Go is probably the store with more sensors on the planet right now, and it is intimidating:
Each of those boxes on the ceiling are cameras connected to deep learning algorithms that analyze every move you make: which aisle you walk through, what items you grab to read and then return to the shelf, what items you put in your pockets or bag… everything to ensure you only get charged for what you take home. But also, everything to ensure your shopping pattern is studied and well understood. Maybe not today, but it’s the inevitable next step and the ultimate dream for any retail store: to know what their customers like and the type of advertisements that will work best on them.