We are in the age of unearthing and uncovering data, and only just at the beginning of the age of processing data and dealing with it (see my interview with Anselm Hook, Part 2 upcoming).  O’Reilly’s Strata Confernence 2011, will explore, “the change brought to technology and business by data science, pervasive computing, and new interfaces.” It is, perhaps, one of the most important events of 2011.

Data is driving a revolution much as coal, oil, and steel powered the industrial revolution.  And the world changing insight from Karl Marx that “the industrial revolution polarized the world into two groups: those who own the means of production and those who work on them,” is taking on on new life, as  Alistair Croll, co-chair of Strata 2011, points out in his post,  “Who Owns Your Data?”

“The important question isn’t who owns the data. Ultimately, we all do. A better question is, who owns the means of analysis? Because that’s how, as Brand suggests, you get the right information in the right place. The digital divide isn’t about who owns data — it’s about who can put that data to work.”

Strata is where a vanguard will be meet, not only to discuss this revolution’s futures, but to define how to create, handle, and build the platforms and experiences that will harness the data. My flight is booked!  (Also check out BigDataCamp which takes place the night before Strata.)

The picture opening this post is from Michael EdgeCumbe’s  Fall 2010: ITP Winter Show Project.  A project exploring ways to intuitively get the feel of what it going on with big data sets using “the gestural manipulation and stereoscopic visualization of complex data to create a meditative state for data analysis.”  Michael project will be part of the Science Fair at Strata.  For more on Michael’s work see Noise Derived. I also have a number of the  interesting new interface sessions at Strata in my schedule.

The daily Strata Gems on O’Reilly Radar are great place to get a gestalt of some of the Strata themes, and this post by Edd Dumbill, program chair for Strata, Three key data trends for 2011, looks at the year ahead.  This week, I got the chance to ask Edd a few of the questions that I will have on mind at Strata – see his responses below.

If you have been reading Ugotrade, you will know I am interested in our mobile social augmented futures and there is no question in my mind that these will be unleashed by our new capacities to work with data (see my post here).

Data is the how.

The pic above is from “Secrets of BackType’s Data Engineers.” This post on ReadWriteHack by Pete Warden, an ex-Apple engineer, and founder of OpenHeatMap, really lives up to its title.  Check it out if you want to know how  “three guys (the BackType team ) with only seed funding process a hundred million messages a day?”

I asked on Quora, “What would be the most important developments for Augmented Reality in 2011,” Michal Avny, Strategist & Real Time search expert, wrote:

“AR strongly relies on localized personalized real time information.

Having a stream of tweets based on keyword search, location or circle of friends doesn’t really make the AR experience; it is the processed real time relevant information that will make AR useful and intensify the experience.”

In 2011 Real Time search and Social Search will drastically change to provide the infrastructure required.”

I followed up on Michal’s Quora answer with some more questions – see below in this post.

Also note the response from David Molnar, here is an excerpt:

“2. A wave of actionable, important data APIs opened up, enabling useful non-gimmicky AR apps for the first time. Think geoloqi.com , or the work Max Ogden has done with Portland civic data. Plus of course face.com , email providers and calendar providers, etc.”

Amber Case, one of the founders of Geoloqi, is on the programming committee of Strata and will be speaking. Be sure to catch her session! Posthumans, Big Data and New Interfaces, and if you haven’t already seen it, Amber’s TED talk is a must see.

Geographic proximity is a powerful filter, as is route, and time. But clearly social proximity, social relevance, and shared tastes are also key dimensions for location based experiences, (see my convo with Schuyler of Simple Geo, upcoming).

While the whole business of location based search and curation of augmented mobile social experiences is still, for the most part, uncharted terrain, the danger of key points of control being only really accessible to elite players looms large. I asked Sophia Parafina, a pioneer in the open geo space for some thoughts on real-time local /geosearch and geomessaging, and the future of openess & big data (see Sophia’s response below).

Is the market ready yet for P2P cloud computing?

This is another question I’m following,  Is the market ready yet for P2P cloud computing? It is one of those questions that we seem to have been asking in various forms for a very long while now, but without a  major shift in sight.  The pic above is from, The Cloud Made Open Source “Invisible” This Year.  But, perhaps, we are at the point when open p2p clouds will find a place in the market because of their potential importance in real time social search and discovery. Borislav Agapiev, Search Entrepreneur and founder of Vast.com, writes on Quora:

“I believe a P2P cloud is ideally suited for social & real-time search and discovery.

Consider MapReduce, a very interesting and popular paradigm for distributed computing. MapReduce is very much about bringing computation to data i.e. doing computation at nodes (map) and then aggregating results through network (reduce).

It is very clear now that user attention data (what they click on) is very valuable for search and discovery, yet a centralized model relies upon uploading all that to a single location and then doing a supposed local MapReduce. Clearly, MapReduce could be done across the network, without any centralized uploads.

In addition to the efficiency argument raised here, it is even more important to consider privacy issues. Uploading massive amounts of user attention data to a centralized location is not something that is going to make users warm and fuzzy as we are increasingly seeing.

In a P2P cloud, there is no big brother watching over anyone, all computation and data storage is done in the cloud, fragmented in many, many small encrypted pieces ala BitTorrent.”

Picture above from Brynn Marie Evans, “It takes two to tango: review of my social search panel“

The Delta of Now – Transforming Search into a Social Democratic Act

Picture of Maneki Neko “beckoning” cats from Journeyetc

New ecologies of human and machine intelligence are beginning to change basic social structures – see the Future of Work (Biewald and Chirayath Janah 2010). And projects like Swift River, using search and machine mining to filter out streams on topics of interest that can then be subsequently curated by human beings. This may be extended to the curation of real-time data streams and employment of machine learning algorithms based upon the explicit relationships.

Augmented mobile social experiences are a new frontier in which ideas and practices from a number of fields collide, including: ambient findability (Morville 2005), urban psychogeography, narrative structures, ambient games and devices, 4d (time-space), explorations of place and memory, enchanted objects and people (Kuniavsky 2010), and designed animism (Laurel 2010), to mention just a few.

Mobile local interaction presents an opportunity to invert the search pyramid and to transform search into a social, democratic act (see my interview with Anselm Hook upcoming).  Up until now search has been predicated around a very narrow revenue model. Google has an implicit model of a B2C – business to consumer brokerage. We are only just beginning to get a glimpse of the disruptive potential of C2C – consumer to consumer brokerages. Mobile local C2C brokerages that allow us to transact in a trustworthy way over our local geography in close to real time (Hook 2010) have the potential to enable new forms of social organization. Bruce Sterling’s short story about a networked gift economy, Maneko Neki, is a brilliant glimpse at the disruptive potential of such re-imaginings.

Augmented experiences that shift or change a person’s situated geolocal experience of social reality, and change our relationship to the people and the place by augmenting engagement in, and reputation through, socially driven consumer tie ins and game dynamics, like Four Square, & Gowalla are beginning to emerge, as Kati London pointed out in her excellent keynote at Web 2.0 Expo. And, while the integration of mobile local interaction and an augmented view that shifts our geolocal experience visually will involve creative solutions to some well churned mobile, tracking, mapping and registration challenges, the exploration and development of new dimensions through which we can filter and create trusted and meaningful augmented mobile social experiences is vital, whether you are considering a mobile screen, map, camera view, or futuristic HUDs and gestural interfaces.

Talking with Edd Dumbill

Picture from O’Reilly Community.

Tish Shute: First congratulations on Strata! On the Strata homepage there is a quote from Jason Hoffman:

“My gut feeling is that we’re going to look back at the upcoming Strata Conference like we do at the Web 2.0 Conference in 2004/2005.”
—Jason Hoffman, CTO/Founder, Joyent, Inc.

Why do you think Jason’s comparison might be prescient?

Edd Dumbill: Web 2.0 is a development that ran through every brand that has a web presence and radically changed the way business is done for many companies and brands.

Strata will have a similar impact: every business has data, every business collects an increasing amount of data. This data is the new oil – a valuable raw material that when refined or combined creates value and opportunity.

Tish Shute: The rise of real time was one of your three key data trends for 2011. Hadoop is bringing the capacity to work with big data to more than just a few elite players. But the challenge is still real time. You mention we will be seeing a hybrid approach to real time and batch MapReduce processing. Will we hear more about these approaches to real time at Strata? And, what do you see as the most important conversations on real time data analytics emerging at Strata?

You point out “open source projects and cloud infrastructure means developers can evaluate and learn to love technologies without requiring support or approval from above.” What are the most exciting developments on the horizon for open source tools?

Edd Dumbill: Here are some projects worth watching, in the key areas of real time, cluster management and Hadoop.

* Cassandra and MongoDB — NoSQL databases that will prove vital for anybody with real time big data needs

* Mesos — a compute cluster management tool, modeled after that which powers Google

* Hadoop ecosystem’s continuing maturation, especially HBase and Hive.

Tish Shute: Do you think the market is ready for p2p cloud computing?

Edd Dumbill: The market is emerging for decentralized and distributed cloud computing, and P2P technologies are one way of achieving that. They key trends will be moving computation nearer the data sets or nearer the point of user consumption of the result.

P2P is a difficult model for anybody wanting to commercialize a service, so I think it will tend to form part of a hybrid solution.

Tish Shute: We have seen enormous strides in our ability to work with giant unstructured databases recently. Do you think, perhaps, that the dream of a web of linked data – “a web of data that can be processed directly and indirectly by machines,” will be attained through brute force – i.e. through our ability to harness the power of massively parallel processing, as much as by Semantic Web approaches focused on machine readable metadata? [Also see my question on Quora, “Is this a good approach (www.dist-systems.bbn.com/people/…) to use Hadoop to build a scalable, distributed triple store?”]

Edd Dumbill: I’ve been an observer of the SW for over a decade and I tend to believe that on the web, data means to you whatever meaning you give it as the consumer. With that model, the links are made by the consumer rather than sitting out there explicitly. Some links become de facto standards, and some very few become web standards.

I think the actuality will be a mix of both explicitly stated metadata and that which is inferred. The Semantic Web is a great framework for certain operations, especially interoperable exchange of metadata. A great many more private meanings, never intended to be shared, will be created by consuming software.

There’s no question that machines will learn how to process most of the Web. Furthermore, machines will learn how to process most of the physical world we’re in. And that by the end of this decade.

Talking with Sophia Parafina

Picture of Sophia at Where 2.0

Tish Shute: Sophia you have worked in the trenches for a long time now to support the growth of open geo data. What do you hope to see emerge in 2011 in the field of geo-data?

Sophia Parafina: Better support for displaying and handling location data across multiple apps. Fred Wilson recently blogged about content-shifting, he talks about overcoming content silos across devices. We’ve worked very hard to reduce data silos via formats, but devices are creating their own silos. I would like to see a standard method for sending geo data and geo information to mobile devices.

Producing content for mobile is different from producing content for a computer browser. Web 2.0 produced a lot of infrastructure for browser based interfaces, but in mobile devices that gap has been filled with apps which is fragmenting how data is handled by various devices. What is even more interesting in the mobile space is that devices can push data back that contains location, user updates, photos and even sensor data.  If mobile data standardizes, it could lead to browser based applications and stem the continued fragmentation of the mobile application market.

Tish Shute: Simple Geo and Factual are startups emerging in the geodata space. What do you see on the horizon in terms of both the growth of business opportunities and an open geo data community?

Sophia Parafina: In the near future think we’ll see startups providing curated data + API and in response we will also see companies that provide a single interface across multiple data providers. We saw this when everyone released a mapping API and companies such as Mapufacture provided a single interface across multiple APIs.

We will see a resurgence in data providers repackaging the the 2010 US Census data in different ways to respond to market segments, some of this will be open data but all of it will be provided through an API instead of file. Additionally, we’ll see more data from outside the US.

Tish Shute: What are the biggest obstacles to having the open geodata sets available that we need to enable mobile local interactions and social augmented experiences?

Sophia Parafina: Licensing for both crowd sourced data and private curated open data will become an issue. We recently seen VLC, the open source video player, pulled from the Apple app store because of licensing issues. Also, licensing of content by geography will be problematic, limiting searches by geographical location. In addition, how will licensing of data that is updated by crowd sourcing work?

Multiple APIs for accessing data sources. The current trend for each provider to create an API for their data sets will result in data silos – there needs to be a single sign-on equivalent for requesting data.

Size of data on the wire, the current models for delivering data is based on broadband connections. However, as mobiles increasingly become the way people use the web, the data needs to be sized accordingly. This also goes for mobile interfaces. Have you tried to shop on a mobile device, or buy a train or plane ticket? It’s frustrating and error prone. There is a large untapped market of people who only use the Internet on mobile devices.

Tish Shute: You pointed me to this link in Strata Gems re “an interesting and pertinent (also a competitor to GeoLoqi),” – the Android Tasker app. What do these emerging services bring to the table in terms of the next generation of location based services?

Sophia Parafina: This app let’s your device interact with the environment. I think that this is a great way of using the sensors on existing platforms to increase interaction and to implement ambient findability. The basic premise of Tasker is that some action happens in response to an event in an application, time, date, location, event, or gesture. Tasker has defined 180 actions that can occur based and number or combination of events. This can provide a basic vocabulary for interaction between the user and the device and more importantly between users. Tasker also can use Android script plugins, which lowers the bar to creating your own ambient application.

Programs such as Tasker can provide a way for people to interact with social networks beyond sending messages. People can use their mobile devices to interact with their surroundings with out having to interact with the device.

Tish Shute: We have had many conversations about emerging ideas of geo-search, geo-messaging and geo-fencing. What are the most interesting developments in these areas and what do you see on the horizon for 2011?

Sophia Parafina: The map will fade into the background and become less important. Display of information will be context aware, that includes location. For example, let’s say I make a grocery list, when I’m at the grocery story, the list will just pop-up without the need for me to find the app that has the list. Or reminders or offers pop-up when you are near a place at a certain time, let’s say you need to buy a present for a birthday party for a child, you could send out a request that you are looking for an item and retailers could offer “on the spot” discounts if you are in the area.

Geo-search, geo-messaging, and geo-fencing are geared to towards mobile devices, so I expect to see them soon as part of apps. Building generic applications that implement geo* will fail because that sort of information is useful only within a context. Geo* apps are solutions looking for an problem. The killer mobile app will use these functions transparently to reduce the cognitive load of the user who is busy moving around in the world.

User data gathered from multiple web applications will become consolidated profiles that will used for context aware applications. For example, there could be a service which matches prices of items that you have shopped for on the web, so for example the service would have access to your cookies, know your favorite retailers, things you have shopped for, your location and activity patters (when you are at home, work, restaurant). When you are in the vicinity of a brick and mortar retailer with the same or similar items, the service can send you alert to match the price of the item you found on line. So your digital life will become more closely linked with your day to day activities.

Talking with Michal Avny

Tish Shute: At Web 2.0 Summit, one of the highlights for me was the, Q&A:The New Search Insurgents lunch where Charlie Cheever of Quora, IMO, stole the show. I tweeted:

“One of my takeaways from #w2s is that #quora points to future of augmented mobile social experiences – a search filter for experience! #AR”

In your view what are the biggest challenges for location Q&A to emerge as a search filter for location based experiences?

Michal Avny: The biggest location Q&A challenges yet to be conquered are immediacy (real time dynamic data), relevancy (strong personalized filters) and user experience (simplified interface).

Location Q&A enables different use cases. The most prominent are Follow (follow places, topics and friends to learn about a location), Interact (meet new people based on common interests), Plan ahead (plan a trip, night out or a shopping day by asking and searching for local information) and On-site (check for recommendations, friends, deals, events and traffic nearby).

Unlike Follow, Interact and Plan ahead that can be added to existing Q&A platforms (such as Quora) by attending location specifics as they share similar characteristics, the on-site mode introduces a completely different experience, first and foremost it requires immediate attention. It is real time based and the nature of the data is dynamic. Traffic updates, current events, nearby friends, all that changes constantly. Posting a location question on-site implies the response should be in real time (e.g. best kid friendly restaurant), the normal Q&A response latency wouldn’t work.

Strong relevancy filters are required to accommodate for the overwhelming flood of information. Moreover, some of the data should be filtered by user behavior and preferences, check in notifications (type of relation), restaurant recommendations (type of food, price level, etc), shopping deals (commercial categories) and more.

Mobile experience requires ease of use and simplicity. A new Q&A interface and query language that allows for posting questions should be defined as well as coherent summarized response interface. User on the go should not have to post lengthy questions, browse through tens of results or search for the right service, but instead use a simple intuitive tool.

Tish Shute: Real- time location based search is in its infancy. Real time questions can be answered using different services such as Yelp, TripAdvisor, Waze, Foursquare, IMDb and more. But what are the challenges to moving forward with aggregating these sources and then into “locals” that are able to process and deal with vast amounts of information?

Michal Avny: Using some of the leading location services to answer question is sufficient to start with.

In order to provide broad coverage (worldwide) and reliable information, aggregation of the different services is required for instance to normalize product and service rank, aggregate classified, and more. This is quite challenging as there is no one standard available.

When location Q&A user base is big enough, I foresee a tendency to rely more on ‘locals’ input as the base of information. As the platform grows, communities will be formed with different cultures, relationships and trust levels, making the information more valuable and customizable. Some of the challenges I already mentioned are implementing filters, query language and interfaces to enable using the vast amounts of real time data in a mobile environment. More of the challenges lying ahead are integrating the ‘locals’ data with location based services as they are integral components of the Q&A ecosystem. Merging trust levels and relationships while adhering to different privacy guidelines is a challenge yet to be explored. (This should be discussed in more detail under the protocols topic).

It is quite evident that Quora is now facing growing pains and is struggling to maintain its character. Same as with Quora, it will also be a challenge to support and maintain the ecosystem while allowing for massive scale-up.

Tish Shute: I have been very interested in exploring protocols that will be enablers to micro local interaction and mobile social interaction for AR – particularly the XMPP extensions and operational transform work of Google Wave (now Apache Wave), and PubSub protocols like PubHubSubbub and Erlang based RabbitMQ. We are beginning to see protocols emerging that could enable new real time local services. What do you think are some of the most valuable use cases for “locals” that this new generation of real time protocols can enable?

Michal Avny: AR is about interacting with digital information; the AR ecosystem is composed of layers and components such as devices, platforms, browsers, applications and content. For the different components to interact new protocols, security guidelines, and privacy policies must be in place. A standard will enable local vendors and service providers to publish specials, deals, updates and events for any application to broadcast, identify people and places by proximity (without having to use the same application or device), local recommendations will be shared by services, devices will be able to interact, location based platforms, such as Q&A, will have access to vast breadth of information, geo aware devices will provide consistent experience globally, and much more.

Tish Shute: What do you think are the biggest challenges to going mainstream for this emerging field of real time social discovery?

Michal Avny: The biggest challenge is building towards real time, geo-aware, localized, personalized ambient data. Discovery is in its infancy, location social based Best, Top, and Trending lists with some basic filtering options are available, and this is great as people are getting accustomed to information surrounding them. To some degree it can intensify the AR experience, for instance suggest the most popular dish in a restaurant, or map the best coffee shops nearby, but it is customized at best by friend recommendations and depends on the coverage and broadness of the specific discovery service.

There is a need for the next generation of discovery, customized geo social aware discovery that filters the vast amount of real time data by learning user preferences and behavior (built on top of the much needed local social real time open protocol)

Tish Shute: Who are your favorite startups/upstarts in the the field of real time search and why?

Micha Avny: My6Sense - My6sense provides a sharper and better way to experience your information from feeds you subscribe to (Social Networks, News, RSS feeds, etc.). It’s personal – Content is ranked based on what’s relevant to you. It learns what’s valuable to you by translating your consumption behavior into a personalized ranking function.
My6Sense – because it is a personalized prediction filter, a critical foundation for AR

Topsy – Topsy is realtime search powered by the social web that finds the most relevant conversations happening online. The site’s underlying technology examines popular links as well as the influence of each person citing a link. Topsy augments traditional search engines by finding information that people are talking about.
Topsy – because its ranking is based on retweets and influencers, a great social experience

Collecta – Collecta is a real-time search engine for the social web. It monitors the update streams of popular realtime blogs and sites like Twitter, WordPress, and Flickr, and shows results as they happen. Results can be filtered by status updates, comments, stories, or photos. The entire engine is built around the XMPP standard, which pushes out data on a continual basis, so that for every search you end up watching a stream that keeps updating itself.
Collecta – because it is built around XMPP, a real time experience

The Missing Manual for The Future (or The Future: The Missing Manual)

O’Reilly Media, is famous for is producing  “missing manuals” for new technologies, but thinking of O’Reilly as just a publisher of books would be like saying Facebook is just a website (this came up in the discussion at Media Round Table at Web 2.0 Expo, NY, 2010).   In recent weeks, I managed to catch Tim O’Reilly at several events, Maker Faire, Web 2.0 Expo, Hadoop World, and the free webcast Tim did with John Battelle on The Battle for the Internet Economy (although Tim spoke several other times during this period!).

It occurred to me, as I immersed myself in the depth and breadth of innovation showcased and discussed at these events that Tim O’Reilly, and the O’Reilly team, are creating, The Missing Manual for the Future.

As Tim puts it, we are “changing the world by spreading the knowledge of innovators.” Tim uses a quote from William Gibson to illuminate what is at the heart of the O’Reilly project:

“The Future is here, it is just not evenly distributed yet.” (William Gibson).

But Tim O’Reilly makes another point about the future when he speaks.  The future unfolds unexpectedly – so we must invent for an unknown future not a known future, or as Alex Steffen put it so well in his post, Why Our Bright Green Futures Will Be Weirder Than We Think, – “The world we need is one we’ve never yet seen.” The magic of attending an O”Reilly event is that it gives you a chance to work on this koan in interesting ways, and to take more responsibility for how things turn out.

Tim O’Reilly also urges that we think more deeply about what we are doing.  His keynote for Hadoop World , NYC, billed as, “The Business of Data” turned towards “The Consequences of Living in a World of Data.” The 900 strong crowd at Hadoop World was probably one of the most savvy crowds in the world about the business of data, so this was a nice turn.

Web 2.0 Expo with the theme, Platforms for Growth, was a deep dive into the business of innovation.  Tim O’Reilly’s keynote at Web 2.0 Expo,  “Thinking Hard About The Future” (or rather “thinking a little bit creatively or differently about the future)  – see video here, developed the call he made at Web 2.0 Expo 2008, to “work on stuff that matters,” into a Four Cylinder Engine for Innovation.   The first of the four cylinders in the firing order is, “Having Fun!” But,  at Maker Faire, Web 2.0 Expo, and Hadoop World I got an inside look at the workings of all four cylinders, and there is more to come, I am sure, as the other O’Reilly events unfold over the coming months including,  Web 2.0 Summit, Strata (a new O’Reilly conference on The Business of Data), and Where 2.0, 2011.

In a free webcast, last week (recording here), previewing Web 2.0 Summit, John Battelle and Tim O’Reilly discussed the Points of Control Map which is developing into a fun and useful tool to examine a very serious topic, “The Battle for the Internet Economy,” and how the “increasingly direct conflicts between its major players” could effect “people, government and the future of technology innovation.”   In my previous post, Platforms for Growth and Points of Control for Augmented Reality, I had a great conversation with Chris Arkenberg using this map as a springboard.  More on Points of Control later in this post.

The Four Cylinders of Innovation

click to enlarge

From Jet Ponies to Jet Packs: The First Cylinder of Innovation – “Have Fun”

The “maker” energy and its spirit of play, and the courage to create, hack, reinvent and re-purpose everything and anything, is a quintessential example of the first cylinder of innovation firing big.  Many “maker” projects also go on to fire on all four cylinders.   But the Maker forte definitely is in the first cylinder zone (and safety third as some of the rides, including Jet Ponies, warned).  The photo opening this post by Marc de Vinck – for more pics see here, is of Tim riding The Jet Ponies at Maker Faire which took  the New York Hall of Science by storm in late September – see The New York Times coverage here.  The ride was “built by the dastardly danger-hackers at the Madagascar Institute.“ See this wonderful interview with Hackett on his work to design “our specific jets from a patent that was filed in 1960s by a Mr. Lockwood, for Valveless Pulse Jets.” Hackett points out:

“Louder than god, glowing white-hot and looking like the trombone of the Apocalypse, pulse jets are also really shitty, inefficient engines,”

But, he adds:

“I have always wanted a jetpack, and one of the reasons I learned to build these things was to further that goal.”

This grand vision behind the Jet Ponies is a key to firing, The Second Cylinder of Innovation,  “Hey, we can change the world!”

But Jet Ponies, as a stepping stone to jet packs, also really struck a chord for me as I have been devoting a lot of time lately to the emerging Augmented Reality industry, a technology which was lumped in the same category of sci fi chimera as jet packs until very recently.

Data is the Gasoline

“The faces are coming from the sky.  The locations are coming from the sky.  All these apps depend on something, somewhere up.  And that, to me, was always the heart of Web 2.0.  And I am so delighted that people are finally getting it.  Because for a long time, people thought, ‘Oh, Web 2.0, it’s about lightweight advertising supported in a web start up.’  So I went, ‘No, no, no. It’s about the fact that we’re building these giant database subsystems in the sky that are going to drive applications.’  And now, of course, the same application is on your PC, it’s on your phone, it’s on you iPad.  And clearly, the applications are just sort of an interface to something that is being driven from the cloud, and that is fabulous.  That’s the difference.  People get it now.” (Tim O’Reilly, said this as part of a response to the first questioner at the Media Round table Web 2.0 Expo)

Answering questions about the importance of “Having Fun” to innovation doesn’t look quite as fun as riding Jet Ponies! Photo above from luca.sartoni’s Flickr stream

“ the data that is generated by the sensors and the applications that use that data is going to be where people are going to be innovative.” (Tim O’Reilly)

During the Media Round Table, I had a chance to ask Tim more about the role of bottom up innovation in a world where big data is the gasoline for increasingly sophisticated engines – platforms integrating machine to machine intelligence and real time analytics.

Tish Shute: You brought up Maker Faire in your keynote, and again now.  I was there, which not many people in the audience were  [not too many hands went up when Tim asked during his keynote].  But I think one of the things that struck me was the jet ponies – they were just earthshaking to stand near.  They made the ground tremble; they made the world shake.  Yet, most of your keynote, and most of what’s on our minds here, at Web 2.0 Expo, is extracting intelligence from the big data [in the sky], and algorithmic intelligences are the jet engines of the internet.  And of course, not to be forgotten, as we are here in New York City, where the trading markets are creating the air we breathe  [although we probably don't realize it until we lose our mortgage or something] and these algorithmic economies or “robot casinos” as Kevin Slavin put it, are all about speed – it’s not just real-time, issues of latency are  so critical that co-location is key to winning the game of the markets.  [Kevin Slavin brilliantly unpacks this in his talk, "Loitering on the Motherboard." For more in this see my conversation with Kevin Slavin below].

So my question is, who’s making the jet ponies for the algorithmic economies in the sky that you just described?   How can we make a play from the bottom up?  I always feel Ushahidi is one of the jet ponies of the data algorithmic space [because of their great work to bring human and machine intelligence together to solve problems in crisis situations].  But who do you think is doing exciting work and how can we ensure that this powerful world of data and algorithmic intelligences does not become hidden in a closed black box [only really accessible to elite players like the NYC trading markets]?

Tim O’Reilly: “Well, I think there’s certainly a lot of interesting things happening in, say, the financial services that a lot of, kind of, the Internet folks are kind of blind to.  I think that there are companies like Next Jump which are really good with data and good with algorithms. But kind of speaking specifically to the maker side of this, that whole sensor enabled world which is going to produce data is in its infancy.  What we have that I think is so powerful right now is we have the first portable sensor platform.  I said in my talk the other day, you know, your phone has ears, it has eyes, it has a sense of where it is.  And these are all available to application developers. You know, you can compare, say, Dodgeball to Foursquare, you can see how different… Dodgeball is Foursquare in the tele-type era.  Foursquare is now possible because there are so many more capabilities on the phone.

And I think that we are going to see a lot of other areas that are revolutionized by the sensors in the device.  It could well be that some of them will come explicitly out of the maker kind of projects, or it could just be that make is sort of a proxy for them.  So yeah, Arduino is this great maker sensor platform, but hey, here’s a consumer sensor platform [holding up phone]. Maybe we vaulted past the maker stage already and we just didn’t know it.

And that’s not entirely true, because Arduino is building a whole economy of special purpose devices.  But it feels a little bit like the days when people rolling their own PCs coexisted with the rise of Dell, who was a kid in his college dorm room who made his own PCs and sold them on the net, but figured out how to scale it pretty quickly and get good at it. But there were still a lot of garage shops, you know, ‘I’ll make a PC and sell it to you’ people for probably a decade before there was really a clue that that was a commodity industry.  In fact, I do think the sensor platforms are going to become a commodity industry.  And the data that is generated by the sensors and the applications that use that data is going to be where people are going to be innovative.”

The internet operating system is a data operating system and it is happening in real time (Tim O’Reilly)

click to enlarge the image above  – a slide from Mike Olsen’s  (CEO of Cloudera) keynote at Hadoop World

Not only do we have a portable sensor platform in our pockets  but developers also have powerful platforms and tools to make sense of data that fuel our apps.   Opensource Hadoop makes available, to anyone with some data munching chops, the power to work with giant unstructured databases and do the kind of real time analytics previously only available to giants like Google.  Big players like Yahoo, Facebook, and Twitter use Hadoop (Jonathon Gray from Facebook noted they add 10TB a day).   But, as this great roundup of Hadoop World points out, while Hadoop gets the press for handling petabytes of data , Mike Olsen (CEO of Cloudera) noted, the fastest growing area of users are working with clusters smaller than 10TB and over half of the Hadoop clusters were under 10TB in size.

Four Square: A Platform for Growth with an ecosytem built on top of data that exists in the real world

As an augmented reality enthusiast it is not hard to guess that one of my favorite platforms for growth is Four Square.  See Dennis Crowley’s keynote at Web 2.0 Expo here.  The Four Square API has been available to developers since November 2009,  and there are already a number of  interesting applications, and there will be many more to come.  The screen shot above is of geopollster – see the gallery of Four Square apps here.

@dens tweeted recently  “Politics + @Foursquare = @GeoPollster” http://geopollster.com <- I love love love that people are using 4SQ to think about election tools

As Kati London pointed out in her keynote, Four Square is the “kind of augmented reality that is aimed at shifting or changing a person’s social reality, e.g. the mayor badges in Four Square that change my relationship to the people and the place I am in, and augment engagement and reputation through socially driven consumer tie ins.” We are already see augmented reality developers beginning to work with the Four Square API – see here, Foursquare + Augmented Reality + Virtual Graffiti = ARstreets.

As augmented reality development tools mature, Four Square will, increasingly, become an important platform for creative AR developers interested in integrating the power of this platform for augmented engagement and reputation with “device aided augmented reality that can shift visual experiences of situated geolocal experiences.” With the Qualcomm vision based augmented reality SDK now available for download, and Wave in a Box soon? to be released, and an ARWave client working on Android (almost!), I have been exploring the Four Square API in my non existent spare time!!

The Four Square API also offers some interesting possibilities for exploring games that take the complex economy of Four Square – not personal data but aggregates of behavior, as their subject matter (for more on this see my conversation with Kevin Slavin later in this post and in an upcoming post).

I took this picture of Dennis at Where 2.0, 2009 at the beginning of Four Square’s phenomenal growth (they are at 4 million plus users now).

Pachube (Patch-Bay): a web service for storing and sharing sensor, energy and environmental data

Eighteen months ago, I interviewed Usman Haque (architect and director, Haque Design + Research) and founder of Pachube – see Pachube, Patching the Planet.   Usman pointed me to this wonderful evocative image from T.R. Oke’s book, “Boundary Layer Climates” (original photo source Prof. L. E. Mount’s The Climatic Physiology of the Pig).  “It’s the same piglets, in the same box, but on the right hand side the temperature has been increased. This small change in how the space is “programmed” has dramatically changed the way the ‘inhabitants’ relate to each other and how they relate to their space.”

The Challenge of Connecting people and environments.

At Web 2.0 Expo, I got the opportunity to talk with Usman Haque again.   Pachube, is becoming an established platform now, Usman explained.  They have a development team of eleven and robust back end.  And, they will now be spending some more time on the front end, including a redesign of the website, making “it a lot easier to widgetize the entire website so that you will be able to take almost any element and embed that into your own website.” And, as Usman mentioned in his presentation, they are working on an augmented reality interface, Porthole, for facilities management and, “as a consumer-oriented application that extends the universe of Pachube data into the context of AR – a ‘porthole’ into Pachube’s data environments..  Usman is also contributing to the AR standards discussion and on the program committee now for the W3C group on augmented reality.

Click to enlarge the image above from Chris Burman’s paper for the W3C, Portholes and Plumbing: how AR erases boundaries between “physical” and “virtual”

Pachube, is sometimes described as the Facebook for Data or an analogy Usman prefers, a Twitter for Sensors.  At Web 2.0 Expo, I had an amazing opportunity to hear from Twitter and Facebook about their strategies as platforms for growth.  This gave me lots of fuel for questions about Pachube’s approach to developing their platform.  Simplicity was a theme that Facebook  and Twitter both affirmed as a key.  One of Pachube’s challenges will be to deliver ease of use, and the equivalent of Facebook’s “like” and  Twitter’s “follow” to gain mass appeal.

Here is a brief excerpt from my upcoming conversation with Usman:

Tish Shute: So as a platform you see Pachube as having more in common with Twitter – a Twitter for Sensors. In what ways is Pachube similar to Twitter?

Usman Haque: Well we are the Twitter of sensors, devices & machines in the sense that, really, the API that enables all this communication is important, much more so than the website itself. It is where, basically, most of the millions of our hits actually go, is to the backend. And we’ve now got dozens of applications built on top of the system, a little bit like Twitter’s applications; you know, all the apps are the important part.

But we are actually going to be doing some quite exciting things with API keys that we haven’t really spoken that much about in public. But we have come up with a pretty innovative solution to make almost every resource have granular privacy options on it, now discussed here.

At Hadoop World, Tim O’Reilly also raised some interesting broader questions that are very relevant to Pachube’s vision to “patch the planet”, e.g, the problem of digital identity in the age of sensors? (Smart phones already know their users by the way they walk!) And, “How should we think about privacy in a world where data can be triangulated?”

Usman talked about Pachube’s approach to both the technical aspects of how to build a massively scalable system, and the conceptual aspects of how people connect to each other, and what they might do with these new opportunities to connect environments and sensor data  (see my earlier talk with Usman, Pachube, Patching the Planet, for a detailed explanation of some of the concepts behind Pachube).

I look forward to posting this conversation. Pachube is growing, and Usman always goes beyond the familiar tropes of connecting human and machine intelligence.

2nd Cylinder of Innovation: “Hey Can We Change the World!”

The possibilities for reimagining of the role of data in healthcare produced some of the most powerful “Hey Can We Change the World” moments for me at both Web 2.0 Expo and Hadoop World.  The slide above is from Esther Dyson’s brilliant Ignite presentation, “What you can and can’t learn from your genes?” are here,   Tim O’Reilly also brought up the powerful role real time data analytics can play in improving healthcare in his Hadoop World Keynote.  Also see Alex Howard’s post, 10 Lessons for Gov 2.0 from Web 2.0 for some more great, “hey we can change the world moments” at Web 2.0 Expo.  The keynote from Lukas Biewald of CrowdFlower and Leila Chirayath Janah of Samasource (screen shot below) in particular, is a provocative exploration of the future of work in the new ecologies of human and machine intelligence.

Changing the World When Our Lives Are Increasingly Shaped by Forces Invisible To Us?

Click to enlarge

Mike Olsen, CEO of Cloudera, noted that “the largest area of data growth does not come from humans interacting with machines; rather, it’s from machines interacting with each other” (see here in Minor Technical Difficulties).   One of the most interesting presentations at Web 2.0 Expo was Kevin Slavin’s, “Loitering on the Motherboard,” which, as Tim O’Reilly pointed out in his keynote at Hadoop World, is a talk that raises all kinds of questions about a system where big players are gaming the data for their own ends.

Kevin Slavin, a founder of Area/Code, notes the operating system of our mortgage, life insurance, the operating system of currencies and gold is now governed by machine to machine intelligence and algorithimic economies outside of human cognitive processes.  The markets are now legible only to bots in an algorithmic arms race with bots surveilling bots, and throwing off false information in a bid for counter-surveillance.  He showed some slides of the eery but beautiful visualizations of traces of the trading bots created from the Nanex API.

The screenshot above is from the Nanex: Crop Circle of the Day – Quote Stuffing and Strange Sequences.  “The common theme with the charts shown on this page is they are all generated in code and are algorithmic. Some demonstrate bizarre price or size cycling, some demonstrate large burst of quotes in extremely short time frames and some will demonstrate both…” This one is a zoom of the NSDQ “Wild Thing.”  Wild price/size repeater from NSDQ running at 1,000 quotes per second, effecting the BBO along the way (I love the great names Nanex gives the different patterns and traces produced by the trading bots).

Nanex supplies a real-time data feed comprising trade and quote data for all US equity, option, and futures exchanges. They have archived this data since 2004 and have created and used numerous tools to “sift through the enormous dataset: approximately 2.5 trillion quotes and trades as of June 2010.” May 6th 2010 (day of the flash crash), had approximately 7.6 billion trade, quote, level 2, and depth records.

Kevin points out that our lives are being shaped by criteria invisible to us and the old hackneyed tropes of machine to machine intelligence such a robots reading HUDs in English are long worn out.  The latter point is, perhaps, something for us augmented reality geeks absorbed in ideas of “making the invisible visible” to chew on.

Changing a world shaped by forces that are, increasingly, invisible to us presents a huge challenge.

But I had the glimmer of a, “Hey Can We Change the World” moment, when I attended Kevin Slavin founder of Area/Code’s presentation and had a conversation with him after his talk.  Could games take these complex economies as their subject matter?  The economies of  Farmville and games like WoW are not opaque at all, and these are environments with complex economic behavior, “where you can actually have enough data to understand what it is” – “it’s not so much about personal data.  It’s more about, like, aggregate behaviors.” “Games that can really model those, and play with those, and take those as the subject the way that Monopoly takes Monopoly as a subject could be really interesting.” Kevin made many fascinating points – more to come on this topic.

Photo by James Duncan Davidson, of Kevin Slavin speaking at Web 2.0 Expo NY, 2010, from the O’Reilly Conferences Flickr stream

Here is the beginning of our conversation:

Talking With Kevin Slavin

Tish Shute: You began your talk today about visibility and where some of the algorithmic masters of disguise went to work, after they had solved the math behind stealth bombers.  I thought perhaps you were leading into ideas about a reverse surveillance society.

But you surprised me, as I felt you made visibility itself kind of a non-issue by the end of your presentation and that counter surveillance became basically a time and speed issue.  Now I am not sure quite how to imagine a counter-surveillance society, something I try to think about…

Kevin Slavin: Well, let’s see.  There’s a couple ways to think about it.  I think one point is just that when we talk about counter-surveillance, we usually locate that as something that comes from  the bottom up, something that comes from the population. Think about the way the plane spotters discovered the CIA black rendition flights.

I think in general, when people talk about counter surveillance, or sousveillance, they imagine it as an inversion of the traditional relationship between the people and the state.

But that’s what’s interesting. What’s happening now, is that there are forms of surveillance and counter-surveillance that are in play beyond any human perceptual horizons. These forms are at their most sophisticated in financial services, in the markets.

If you were a bot, and could read the market legibly (which humans cannot), what you would see, effectively, are bots that are surveilling bots. Then you have bots that are throwing off false information in a bid for counter-surveillance. Many of the bots are, themselves, surveilling other bots; each one of them is trying to figure out what all the other ones are going to do. In essence, it’s an algorithmic arms race, and game theory has become concrete, since the theories are code, the code is action, and the action affects, let’s say: your mortgage.

And so, basically what you have is you have this series of algorithms that are all looking to discern each other, while also trying to prevent themselves from being discerned. I think of the tunnels under the trenches in WWI, tunnels to surveil the trenches, and then, later, tunnels to surveil the tunnels. There’s a few examples of this kind of thing.  But It’s especially strange when it’s computer code, and at the magnitude we’re seeing today.

All of it, as noted in the talk, accounting for 70% of all the trades in the market. 70% of the market trades are never touched by human hands or even seen by human eyes; they don’t move through a conventional cognitive process.  And that’s why you get things like the Credit Suisse algorithm, it was buying, selling 200,000 shares of stocks to itself over and over and over again. It was a bug and it slowed the market to a crawl.

Credit Suisse was fined, in essence, for failing to control an algorithm. Maybe that’s the first time an algorithm was treated like a human, in a way. As if the algorithm broke the law, and Credit Suisse was responsible for letting it do so. For me, that feels like a threshold event.

It’s not that humans never made mistakes when trading on the market. But when algorithms err, they err with magnitude.

The idea that we now have bugs in the United States market economy is really worth looking at.  If Apple can’t keep code bugs from the most simple iPhone apps in a closed and regulated ecosystem, I’m pretty certain we’ll have a lot more Credit Suisse type bugs in the future.

And that will be pretty interesting. There will be viruses, and the operating system they will operate on will be the operating system of the United States. The operating system of your pension, your house, your life insurance. The operating system of currencies and gold.

Tish Shute: I was hard-pressed by the end of your talk to think of like, “Well, what would be the equivalent of, sort of a people’s uprising to create a better fairer society in this kind of world where, really, the things that affect the key aspects of lives most are going on beyond human perception at an algorithmic level?”  But you made a pretty radical suggestion at the end…

Kevin Slavin: Well I think increasingly the markets have become delaminated from anything meaningful. First from goods, then from fundamentals, and now finally from homo sapiens. So that’s hard to fight.

It’s the race towards abstraction that makes it impossible to simply “resist.” The latest version in the long series of fiscal catastrophes was based on Wall Street finding goods that could be rolled up and sold with false valuations, but goods that would take a long time to fail. Mortgages are handy like that. It’s the tradition of extending the abstraction as long as possible, until finally the bill arrives and the banks fail. I don’t know if that’s something to rise up against or not. It’s like a rally against evil.

But really, I think the point is that it won’t be the people that rise up. It will be the financial services themselves that rise up. They’ll just detach completely.

That was harder to do with cotton or with wheat, with simple futures; they keep financial services tied to the ground.  So what we’re doing is creating increasingly complex financial instruments that are further and further removed from anything you can touch.  Like the way a mortgage is abstract. But, of course, the bottom line is that at the end of that mortgage lies someone’s home.

It’s said that Wall Street is now moving onto life insurance, because that’s going to take even longer to fail.  They’re doing the exact same thing. The word is that they are rolling up CDOs made out of crap life insurance policies, same way they rolled them up with crap mortgages a few years ago.

And those will probably take, I don’t know, 15 or 20 years to unwrap and unravel.  But what you see in the meantime, is that they are looking for things that are increasingly abstract, intangible, removed as far as possible from the experience of everyday life.

So maybe this is good. Maybe that’s financial services rising up. Lifting off. I think best case scenario now is that they actually leave humans alone altogether.  That, someday, they are just trading, effectively, completely arbitrary goods, the stocks could be anything at all, maybe for crops that no longer exist, and I’m just saying that then these bots would no longer affect what we do and what we are, it would just be a robot casino, an invisible paradise in the air.

People are the platform: How Games Can Be Engines of Innovation in Our Lives

See the video of Games that Know Where We Live here (screen shot above)

Kati London, Senior Producer, Area/Code, in her keynote showed how games that know where we live can shift players perspectives – from device aided augmented reality that can shift visual experiences of situated geolocal experiences to a kind of augmented reality that is aimed at shifting or changing a person’s social reality, e.g. the mayor badges in Four Square that change my relationship to the people and the place I am in, and augment engagement and reputation through socially driven consumer tie ins.

Area/Code has recently developed two games for the Knight Foundation that take people as the platform.  Macon Money, uses very simple games dynamics (for more see the video of Kati’s keynote) in a game designed to help “Knight’s continuing efforts to support revitalizing Macon and creating a vibrant college town.”

The other game that Area/Code has designed with the support of the Knight Foundation  is for the Biloxi and Gulf Coast community, a game called Battlestorm.  “The game’s purpose is to increase awareness about natural disasters and change the way people prepare for them.”

3rd Cylinder of Innovation: Build products, business models and entire industries.

Glympse – real-time, private location tracking

Julianne Pepitone, Yahoo! Finance, nailed the essence of Web 2.0 Expo, NYC, this year in her post, Web 2.0 Expo startups are big on neighborhoods, storytelling.  She writes:

“At the Web 2.0 Expo in New York City this week, executives from big sites like Facebook, Twitter and Pandora all spoke about industry trends. But the showcase of 27 startup tech companies stole the show.”

Listen carefully to Tim O’Reilly and Fred Wilson, Union Square Ventures, question their picks from the startup showcase at Web 2.0 Expo.  Also see this video of Fred and Tim discussing their conversations with all the start ups.  This  is one of the clearest public windows onto both how to present your company to VC, and how to figure out what are the most important questions for you as an entrepreneur  building a business in a world of data.

Glympse successfully pitches their “jet pony” strategy for a location based business, and is Fred’s pick.  They hold up well under pressure and answer Tim and Fred’s hard questions about how their start up will not get overtaken by an encumbent player with resources and market share before they can gain traction.   food52 responds to Tim’s probing about their strategy for business data analytics that he points out are vital if they want to survive with the small margins of ecommerce.  There is a list of all the participants in the start up showcase in Brady’s post here. hour.ly was the audience pick.

Shazam for Faces!

My favorite start up was a biometric service doing face, iris, and finger print matching, Tactical Information Systems.

Tim and Fred also liked them, and they have an interesting discussion about the merits or not of approaching your platform through a narrow first application as Tactical Information Systems are with WanderID -  an application to help identifying lost Alzheimer patients.  As Fred pointed out, they are potentially the Shazam for faces, so why start so small?

I  had asked TIS the same question when I met them in the “speed dating” session.  This is just their first toe in the water as they are a two person company at the moment. Their vision for their platform is big.  Mary Haskett and Dr Alex Kilpatrick, the founders of this quintessential jet pony for the algorithmic economies in the sky, are not only a partnership with the credentials to do a  Shazam for faces – see their bios here, they are the people I would want to be running a Shazam for faces!  They really get the consequences of living in a world of data – check out Dr Kilpatrick’s absolute killer Ignite talk, “Defeating Big Brother.” (screenshot below)

How Can Augmented Reality Add Value to the Real Time Internet/Data Operating System?

planefinder.net – an augmented reality app that lets you find information about planes by pointing your phone at the sky, “including flight number, aircraft registration, speed, altitude and how far away it is” (via MacLife).

The new opportunities in the algorithmic economies in the sky were center stage at Web 2.0 Expo and there are some interesting AR apps for the real time internet/data operating system emerging, like planefinder.net.  But Augmented Reality was still pretty low profile at Web 2.0 Expo (except that NVidia augmented reality demo attracted a lot of attention at the sponsors expo).  However, everyone working in the emerging industry of AR should recognize that apps big on “neighborhoods and story telling” are heading right up the AR street, and that platforms like Four Square and Pachube present enormous opportunity to explore the possibilities of AR.  And if augmented reality enthusiasts are not already paying attention to real time data analytics, and Hadoop, they should be (see this post for an excellent round up on Hadoop World).

At Hadoop World, Tim O’Reilly referenced the great tagline from the  IBM commercial:

“Would you be willing to cross the street — blindfolded — on data that was five minutes old? Five hours? Five days?”

As I have noted in several earlier posts – see here and here for starters,  we are just seeing the tools  for developing near field, vision based, mobile, social AR become widely available to developers, so there should be a new level of AR apps emerging through 2011.  There is a wonderful discussion in the comments of this post by Mac Slocum, “How Augmented Reality Apps Can Catch On,” between Mac, Raimo one of the founders of Layar, and Chris Arkenberg on what constitutes a platform for growth for augmented reality.

Mac’s post, the comments and Chris Arkenberg’s post on the latest edition of the Gartner Hype Cycle, that rather curiously placed Augmented reality almost at the peak of inflated expectations. really got me excited about exploring an idea I have been thinking about for a while, which is to get the AR community to discuss the Points of Control map.    See my discussion with Chris Arkenberg here, Platforms for Growth and Points of Control for Augmented Reality. The recording of  John Battelle’s and Tim O’Reilly’s webcast on Points of Control is posted here.

The interactive Points of Control map is an amazing tool to think with! Check it out in movements, territory and movements, acquisition mode.  There is a competition for the most interesting comment and most interesting acquisition suggestion.  The prize is a ticket to Web 2.0 Summit!

What is the Future of Social?

The recent “defection” from Google to Facebook – see Lars Rasmussen, Father Of Google Maps And Google Wave, Heads To Facebook,  is as MG Siegler of TechCrunch points out, “the biggest one since Chrome OS lead Matthew Papakipos made the same jump in June” (TechCrunch also notes “current Facebook CTO Bret Taylor was heavily involved in the launch of Google Maps”).

These moves have drawn my particular attention as did Bret Taylor’s response in his conversation with Brady Forrest at Web 2.0 Expo to Brady’s question, “How soon until we get the Facebook firehose?”

If you have been reading Ugotrade you already know how important I think an open, distributed, standard for real-time communications such as the very innovative Wave Federation Protocol could be for AR development  -  see ARWave and my presentation at MoMo13, Amsterdam last year, The Next Wave of AR: Mobile Social Interaction Right Here, Right Now!

The anticipated release of  Wave in a Box, has raised hopes in the developer community that  WFP will soon become easier to work with, and hopefully more widely adopted.  Like many others, I wonder what will happen to Wave in a Box now?

But the innovation of Wave is deep and broad (and as many have pointed out hugely ambitious).  Perhaps the boldest attempt yet to innovate both at the low level of architecture (where Google is so powerful) and at the high level of the Mark Zuckerberg, “big idea,” which as Tim O’Reilly notes is, “What is the future of social?” MG Siegler noted Facebook Groups Is Sort Of Like Google Wave For Human Beings.

But I deeply hope that the open, distributed standard part of the Wave big idea is not lost in the mix here.

Fourth Cylinder of Innovation: Keep the Ecosystem Going, Create More Value than You Capture

The Points of Control map is interactive, so please click here or on the image above for the full experience.

Tim O’Reilly points out that there is a worrisome dark side to the Points of Control Map – see Tim’s keynote here.  To paraphrase some or his points:

There are companies on the map that are forgetting to think about creating a sustainable ecosystem.  Rather than growing the pie, they are trying to divide up the pie and that threatens to cause the fourth cylinder of innovation to misfire.  This fourth cylinder is essential to the ecosystem.

Tim O’Reilly looks back to the lessons of the personal computing industry which was incredibly vital and creative, and lots of people made money until a couple of big players “sucked all the air out of the ecosystem” and innovation had to go elsewhere.

The Power of Platforms is to create value not just for your company but for other people.   Create value for yourself by creating value for other people.  Tim O’Reilly used the wonderful example of  Henry Ford inventing the weekend so that there would be enough people with time and money to buy his mass produced cars.  Think about building the ecosystem that will support the future your are going to build.  Grow the pie rather than cut up the pie.  This will be the vital fourth cylinder of innovation in a Web Squared world.

Tim O’Reilly has long proposed that  Web 2.0 is all about harnessing collective intelligence,  But as Gartner predicts, “By year end 2012, physical sensors will create 20 percent of non-video internet traffic.” Yet another previously unevenly distributed future is going mainstream, and if you haven’t read it already, now is the time to read this paper by Tim O’Reilly and John Batelle, Web Squared: Web 2.0 Five Years On.

The Consequences of Living in a World of Data

To bring this very long post to a close!  Here are just a few of the key questions re The Consequences of Living in a World of Data that Tim O’Reilly raised during his keynote for Hadoop World:

“How would we solve the problem of digital identity in the age of sensors? (Our smart phones are able to know their users by the way they walk – their gait!)

“How will we input data when our devices are smart enough to listen on their own?”

“How should we think about privacy in a world where data can be triangulated?”

“We are moving to a world in which every device generates useful data, in which every action creates information shadows on the net.”

“Shouldn’t we regulate the misuse of data rather than the possession of it?”

“How do we avoid a data arms race?”

“Create more value than you capture.”