Beyond People-as-a-Product?

Often these days I find myself wondering if, when Sergey and Larry were pitching Google in ’98-’99, their investor deck included a prescient slide about AdWords? While PageRank is well known as their disruptive technical innovation, AdWords, which alone likely accounts for two-thirds of Google’s revenues, is the type of disruptive business innovation that is the stuff of investor dreams — provided one accepts to take a leap of faith.

While it may have been difficult to imagine two decades ago, today we accept that as users of the Internet, we ourselves are often the product being monetised.

“The best minds of my generation are thinking about how to make people click ads” said Jeff Hammerbacher, Facebook’s first research scientist. It should come as no surprise that now with over two billion monthly-active “products” in stock, Facebook has established itself as the marketplace for hyper-targeted advertising. Indeed, the titans of social media and e-commerce each painstakingly maintain their own digital version of us, their users. These lucrative digital twins are the product of our online interactions, all made possible by the Internet.

But as we move beyond the Internet to the Internet of Things, things are changing. Literally. So what prescient slide would the likes of Sergey and Larry include in their ’18-’19 fundraising deck? In other words,

what becomes the novel product of the Internet of Things?

Where the Internet facilitated the understanding of people’s behaviour online, the Internet of Things adds the all-important understanding of people’s behaviour in the real-world. Does this simply mean that the “real you” will supersede your digital twin as a product? If so, who will own the “real you”? This raises plenty more questions.

Will the evolution of the People-as-a-Product paradigm remain the privy of the Big 5? Will progressive legislation such as GDPR influence the emerging product and, critically, its ownership? Will there be a revolutionary change? Imagine a modern spin on the familiar rallying cry:

Products of the world unite and seize the means of monetisation!

For a tech startup today, the trillion dollar question is what to include on that one prescient slide?   For the next generation of tech mercenaries entering the workforce, the question is what’s the equivalent of clicking on ads in the real world?   And for humanity, the question is how do we collectively envisage our own future?

Let’s not forget to focus on that last one too, at least for the sake of future generations (of products?)!

The IoT finally runs away from home

Last week, in her Stacey on IoT newsletter, the one and only tech journalist who has shared our passion and optimism for the IoT since the earliest days of the hype wave of 2012 finally changed her tune, declaring that “the state of the smart home in 2018 is pretty disappointing.”

We’re going to have to continue waiting for a home that truly reacts in an intuitive way to our needs and expectations. Before we get there, we’ll need [1] standards around presence detection, [2] a way to recognize people in the home, and [3] stored information about their preferences. And in a smart home, those preferences will be based on a computer analysis of habits, [*] not someone sitting down for an hour to program a specific set of actions.

We first met Stacey Higginbotham at SXSW in 2013 when she was writing countless articles on IoT startups for GigaOM. A few months previous to that meeting, we had already dismissed the smart home as a likely spearhead of IoT advancement, based on a decade of our own experiences. And while Stacey’s latest post is in keeping with this view, hope for the greater IoT is nonetheless far from lost when we examine — outside the context of the smart home — the three concerns she raises.

1. Standards around presence detection

The reelyActive co-founders’ experience in real-time location systems (RTLS) dates back to 2004 and we can attest that the benchmark in location has always been to “put the dot on the map”. Recognising that precision location only matters for a small subset of applications, we founded reelyActive instead on the premise of location to the nearest point of interest or zone. And, in 2014, while literally exploring the notion of Google Analytics for the Physical World we stumbled upon a standard for representing points of interest and zones: the URL.

Said differently, by modelling physical spaces as webpages, with each zone having its own unique URL, it becomes possible to represent physical presence like a click on a webpage. Today our technology is based on this paradigm. Where commercial interests have failed to produce a standard for presence detection, the Internet provides a viable option for anyone prepared to think web-first. In short, there is a standard around presence detection: just click your heels and say “there’s no place like the smart home!”

2. A way to recognise people

In September of 2013, Stacey wrote Loophole in iBeacon could let iPhones guard your likes instead of bombard you with coupons, in which reelyActive demonstrated iOS devices “advertising” the presence of their users. Indeed, for almost five years, there has been a way to recognise people via their mobile devices using Bluetooth Low Energy (BLE). And last year, we took the concept even further with reelyApp making it easy to “Advertise” yourself with the Physical Web, and beyond….

However, the fact that five years on, neither iOS nor Android is keen to endorse this feature confirms the fact that we were indeed exploiting a “loophole”. But, in building barriers rather than promoting permissionless innovation, the smartphone titans have opened the door to a viable alternative… In short, there is a standardised, accessible way to recognise people.

3. Stored information about people’s preferences

Until recently, there were two options: Personal Data Lockers and Facebook. And while we detailed exactly how Facebook could share their users preferences in the real-world in real-time, the company’s recent Cambridge Analytica scandal doesn’t bode well for this happening anytime soon.

Fortunately, the Internet again provides a standard for representing oneself and one’s preferences: JSON-LD and Schema.org. The pair have been championed by Google since about 2015, and we ourselves host our own open data locker (based on our open source json-silo) and represent common connected devices in this format through our Sniffypedia project. In short, there is a standardised way to store (and retrieve) information about people and their preferences.

* Without the need for human entered data

We can’t stop referencing Kevin Ashton’s definition of the IoT as the ability for “computers to observe, identify and understand the world—without the limitations of human-entered data“. As Stacey says, “someone sitting down for an hour to program a specific set of actions” is, by definition, the antithesis to the IoT. The smart home is therefore, as predicted, an unlikely spearhead of a pervasive IoT.

But while the home remains our primary social environment (the ‘first’ place), let’s not forget the workplace (the ‘second’ place) as well as the diverse candidates serving as the ‘third’ place. Among the leading applications of our IoT platform is the workplace (think offices, healthcare facilities and even retail stores) where workers have plenty of compelling reasons to be detected, recognised and treated in according to their preferences (video). In each instance, the aforementioned standards for proximity, identification and representation are being successfully applied, and the definition of the IoT begins to ring true.

The IoT is finally running away from home to a place where it actually works today.   That’s a good thing.   In time, it’ll make its way back home, but probably not before stopping by a few ‘third’ places along the way.