So the rumors were right. Apple released a watch today. There will be 3 different “collections”, but lots of flexibility in terms of how each can be customized. There’s a big emphasis on health and fitness monitoring. Prices start at $350. And you’ll need an iPhone. Though you won’t be able to get one on your wrist until next year.
Who knows whether or not it’ll catch on in the same way that iPod and iPhone did, but I think it has a damn good shot (more on this below). They’ve clearly put a lot of thought into both usability and the whole fashion side of the equation, which obviously needed to be done. Given that most people today use their phone for the time, the watch market strikes me as being heavily about style.
In case you were wondering, here’s the watch market size as of 2013 (courtesy of Benedict Evans):
A lot of you might be skeptical about the need for a computer on your wrist (remember those watch calculators from the 80s?). But I think this time is different. Consider the number of people that now walk around with their phone in their hand and/or immediately pull it out whenever they have a free moment. We’ve become reliant (okay, addicted), to notifications and information.
But in many of those cases, the smartphone isn’t the most efficient medium to be delivering those messages. Just like it’s not ideal to have to reach into your pocket to figure out what time it is, I think the watch could emerge as a new and better medium for a bunch of other pieces of information. And the big one could be location-aware or contextually-aware notifications.
Here’s a tweet from Dennis Crowley – founder of Foursquare (Swarm) – talking about that exact thing:
For the record, still think that *contextually aware* notifications are the key to interesting wearables pic.twitter.com/XelR71XbEu
— Dennis Crowley (@dens)
So what does this even mean?
It means walking into a restaurant and having a tip pop up on your watch telling you what the best dish is (as shown in the tweet above). It’s driving down the street and having your watch notify you that there’s an open house 3 blocks away (and then giving you directions). It’s walking into a condo building and having your watch tell you that one of your friends is having a party on the 23rd floor. And so on.
All of these notifications are currently already possible on your phone, but it’s not the ideal place for many of them. Which is why we’re all walking through life looking down at our phones. So while a computer strapped to your wrist may feel like we’re going further down that rabbit hole, it may actually free up more of our hands and our attention.
And I’m sure there are many other possibilities that nobody has even thought of yet. Location just feels like a big one to me.
A few weeks ago I had coffee with a friend of mine who is a partner at a Toronto-based enterprise software company called Polyform Labs. Their products are geared towards the commercial real estate industry and, since I’m a big proponent of introducing more technology into the real estate space, I thought I would share a little bit about them with you all today.
The first of their 4 main products is called Lingo, which is a machine learning tool that helps companies quickly review legal documents and contracts. In the case of commercial real estate firms, the most obvious use case is leases. These documents are often hundreds of pages long and, if you have a big portfolio of properties, I’m sure you can imagine how quickly these pages add up.
What’s neat about Lingo is that you basically upload a lease and then the tool interprets and summarizes all of the clauses for you. It then tells you where you’re potentially exposed and where your risk factors are. And if by chance it gets it wrong, you can correct it and the system will actually get smarter – hence the machine learning part.
I’m not going to go through their entire product line, but I did also want to mention one more called Aura. They call it a “location-aware loyalty engine”. And you may have heard of similar products out there in the marketplace. What it does is use the MAC address on mobile phones (which is a unique, but anonymous, identifier) to track how people and crowds move through spaces.
The most common use case I’ve come across is within shopping malls and retail spaces. It’s used to determine which stores have the most foot traffic, which departments and aisles draw the most people, how long people stay in each store, where they buy, and so on. So even if you didn’t already know about this technology, you may have already been giving up your location data. There are lots of mall landlords using it.
And it’s producing some interesting data. For example, as soon as somebody buys one thing in a mall, their propensity to buy something else grows exponentially. This is what the data tells us and I can certainly relate to it from my own experience. So as a mall landlord and tenant, you are obviously trying to figure out ways to encourage people to make that first purchase.
The other use case that (obviously) came to my mind was with respect to city planning and urban design. How could we harvest anonymous location data to improve the way we design both our private and public spaces? Imagine if we had this data for subway stations, public parks, public plazas, and so on. I bet we would discover all kinds of ways to improve the experience within our cities. I’d like to see the location data for Trinity Bellwoods Park in Toronto on a sunny summer day.
But I digress.
If you’d like learn to more about Polyform Labs and their real estate products, click here.
Image: WPC