Posts Tagged ‘data’

Realtime data shapes realtime decisions.

Continuing the discussion from “Developing “personal APIs” will be the key to scaling collaboration.”, “Filtering firehoses, embracing constraints and sparking creativity.” and Michael Lewkowitz’s “The real-time web. Game on!”

Aaron Chua asked: “…filtering is always valuable but does it need to be real time? When does real time make a big difference in the value?”

Data frames future decisions; Realtime data shapes realtime decisions.

We live realtime online and offline lives; realtime data will ultimately drive use cases and business models in mobile, fixed, online and offline environments.

For example, powerful, timely, structured data available in realtime has been the long-lost key to many proposed mobile application products and business models. While the only successful mobile applications using realtime information exchange to date are a) voice and b) text/SMS, key changes in device user interfaces, upgrades in device processing power, faster data transmission speeds over mobile networks and the increasing availability of personalized structured data are starting to provide users and developers a taste of the possibility.

Continuing the thought: Jan Chipchase, The End of Form / The Beginning of Form:

The world around us contains many computationally easy-to-recognize, known-location, pre-defined shapes waiting to be augmented – street signs, street furniture, and yes, advertising hoardings – which is where the fun begins.

… Just as the battle for ‘control of the internet’ centered (for a while) on the consumer’s means of access – the web browser, so the battle for our ear-drums and eye-balls will hone in on the source. The company that provides the primary filter through which you view and experience the world will have incredible amount of power.

Mobile application developers have struggled with wireless telecom operators for years over operators’ tight control of the “deck” of applications on people’s phones; operators built “walled gardens” and controlled the presentation of applications on the limited screen and storage space on mobile devices to attempt to control and monetize a scarce resource. Application developers locked out of the prime deck real estate struggled to survive on “off-deck” mobile business models.

But that’s changing; while the various mobile app stores aren’t entirely open, their popularity is demonstrating that “open beats closed”.

Continuing with Jan:

… But is there sufficient pull for mainstream consumer’s to turn to some form of nearly-always-worn data glasses? Imagine knowing the tax-bracket of everyone around you – drawing on publicly available tax records and the means to identify an individual in near to real time. Imagine this from the point of view of a would-be lover, a salesman, a charity worker. Extrapolate with mash-ups with Facebook profile, knowledge about your last vacation; previous convictions. Now imagine the advantages you get from access or subscriptions to ‘premium channels’ – data only available to the select few: from the realtime cop feed; to the wolfpack view of the city; to real-time, real-space casual encounters.

A generation hooked on real-time data so compelling that heading out on a friday night just ain’t the same without the buzz of a good feed. It’ll never happen? How many times a day do you check your email? Facebook? Your phone? Your twitter stream? People addicted to data? Of course not – it’ll never happen.

How will this change our urban landscape? Advertising hoardings, entire buildings, indeed entire cities that are computationally more or less desirable to augment. It might be the end of form as we know it.

It might very well be the beginning.

As devices, networks, applications and structured data all continue to develop, the failure of current methods for filtering and processing realtime data will become more evident; but problems create opportunities…

@aaronchua, you’ve now been tagged

Online technologies will transform how we make offline decisions

The true long-lasting impact of the Internet will be in how we harness the power of the web to transform how we make decisions in the physical world.

Instead of just focusing on how to improve our online lives, the far greater potential is in combining online and offline interactions. The power of the web is how we can structure, measure, analyze and evaluate the massive amount of data we continually create to guide our decisions in real-time.

In the physical world, however, we invariably face a lengthy lag between when data is created and when it is used in a decision. We constantly make decisions using incomplete information because we have no choice; collecting more data is often too expensive, too difficult or simply not possible. Thus we create heuristics, stereotypes, rules of thumb and other methods for making decisions in environments we do not fully understand.

While collecting more data does not always lead to better decisions, technology is creating unparalleled opportunities for us to use larger amounts of up-to-date data to make quicker decisions. We are beginning to see web technologies address larger opportunities in navigating the physical world using dynamic, real-time, structured data in addition to our more typical use of the web to access static, dated data (e.g. restaurants, bars and driving directions).

For example, SFpark is an experiment in using web technology to help people find open parking spaces throughout the city using sensors embedded in the pavement to detect used and vacant parking spaces. From The Economist:

The SFpark project will begin early in 2009 with a new network of pavement sensors in 6,000 of San Francisco’s metered parking spaces and 11,500 of its off-street car parks and garages. These sensors will detect when a space is taken and relay that information to a central database. From there, information about vacant parking spots will pass to drivers in several ways. The most basic will be through a network of road signs that will indicate areas with parking places. Eventually, however, officials want to provide web and mobile phone services that display the availability of parking block by block on a colour-coded map, much like the traffic maps now offered by Google.

… Tod Dykstra, [Streetline Networks'] chief executive, hopes eventually to create networks that monitor other bits of a city’s infrastructure too, including traffic flows, street lamps and water mains.

While it may seem like a relatively small matter, searching for parking spaces imposes huge costs on the infrastructure, environment and productivity of the city and its residents.

In a world where it is an order of magnitude easier, cheaper and faster to collect and process data for making decisions, how do our “rules of thumb” and traditional heuristics change?

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