I’m really looking forward to the O’Reilly Strata events that are coming to NYC in a couple of weeks. I’m fascinated to see where the art, science, and business of data has gone since February, when I attended the first Strata Conference in Santa Clara – a sold out event imbued with an awareness that this was an important gathering of cognoscenti working on the next big thing.

Strata in New York City is a sequence of events,  Strata JumpStart, Sept. 19th, and then The Strata Summit, “The Business of Data,” Sept. 20th & 21st, and followed by the Strata Conference, “Making Data Work,” Sept. 22nd, 23rd.

“The future belongs to those who understand how to collect and use their data successfully.”

Below is a transcript of a conversation I had last Friday with Strata Program Chair, Edd Dumbill about some of the highlights of the schedule from my perspective.  However, I highly recommend taking a good look at all that is planned through the three events because there is a depth and breadth that could not be covered in one conversation.

The video opening this post is from visual.ly.com – a start-up making it easier for people to create, explore, share, and promote data visualizations and infographics.

Talking with Edd Dumbill

Tish Shute: It seems a dialogue between the art of data and the science of data is going to be center stage at Strata NYC, and there will be much discussion about story telling with data.

Is that observation correct or is there something else going on there?

Edd Dumbill: No, I think that’s a great characterization. For the Summit, the core realization for me has been that when you have these tools for getting value from data and when you can drive what you’re doing by data, then actually, the biggest consequences are human ones, and they are organizational ones, and they are strategic ones once you have the technology in place.

So what the summit is doing is really looking at how, in a variety of industries, governments, and within disciplines within those, how the amount of data, the ease of which it can be communicated and mined is changing the way industry is shaped.

Tish Shute: Also, I noticed  that the Strata Summit Schedule (Sept 20th & 21st), and even through to the Strata Conference (Sept 22nd & 23rd), has more of an emphasis on pop culture; sports – baseball, dating – OKCupid, and Narrative Science, all have a place on the schedule, for example?

Is this the culture of New York City being reflected – interests in media and marketing, or is there something else going on?  Has the data tool stack matured since the Strata Conference in Silicon Valley at beginning of the year?

Edd Dumbill: Yes, there’s certainly a different flavor to the event because we’re in New York. And, yes, the tool stack has matured, but it is, by no means mature, and the maturity’s only coming at the lowest level.

I think there’s many years left in maturing the tool stack. But one of the beauties of big data is that once you have the data together, the algorithms to get value from it initially are pretty simple.

So, focusing on the stories of success of being data driven, particularly in the Summit, is important to us because the two questions people are asking are, “One, I’ve got data. Two, What do I do with it?”  We don’t need to make the argument that data is important anymore. But we do need to demonstrate what you can do with it.

The data isn’t necessarily big; it’s just there. It’s about having an analytical approach to your business that compliments your intuition, and compliments your vision.

“One of the most powerful ways of presenting data to people is in a story,” Edd Dumbill

Tish Shute: Yes I can see the emphasis in the schedule on how to tell meaningful stories with data. Narrative Science seem to be doing something very interesting re turning data into stories?

Edd Dumbill: Yes. They absolutely fascinate me with what they do. There’s this kind of hierarchy and sort of chain of needs right now where business is going, “We need data scientists. Find me data scientists. Train me data scientists. Hire me data scientists.” And the data scientists are all going, “I need visualization. I’ve got this data, I now need to turn it back into a story that’s going to be useful to people or provide interfaces that are going to help people understand and explore this,” because it doesn’t scale to have to have an interpreter all the time between the data and the results.

You need to be able to present it in a way that means something to people.

People can look at a graph and get many things out of it, maybe not even get anything at all out of it if they are not used to it. But particularly for digesting certain kinds of high-level summaries and results, if you can put the data back into prose, it makes it very accessible to people.

Tish Shute: Natural Language Generation from data really opens up so many possibilities..

Edd Dumbill: Yes, it’s interesting. I think it’s a very novel use. A lot of people would consider that the end result of their data was a spreadsheet or a graph that they are processing.

But if you turn that back into a story, I think there’s a lot of potential of helping executives understand what’s going on. It makes it possible to use language to understand the results.

Tish Shute: I am really excited to see the emphasis on stories, data design and visualization, and the way we experience data is as much part of The Strata Summit and The Strata Conference as some of the more hardcore big data challenges and analytics stuff.

Edd Dumbill: Yes. We are definitely ramping up on visualization. And I think that’s going to become more important. Having a fundamental grasp of how to use graphics and charts is still incredibly core to what we’re saying. But I’m also interested in ways that go beyond, because at least 50% of the point of visualization is to help people understand the dynamics of the data, to really augment their senses with the results of the computation.

You know, the people who are some of our best leaders, the ones who know how to ask the right questions of the data, have a sort of indefinable fingertip feel that you get for numbers when you live around them for a while. And anything we can do with interfaces to accelerate this is going to be very beneficial, whether it comes to being visual and flying through the data or hearing it in natural language.

Tish Shute: Have I missed anything in that in terms of what you’ve got on the schedule re visualization? VisualizingData.com published an ideal schedule from the visualizing data perspective. But have you added anything recently?

Edd Dumbill: Well, there’s one event which isn’t actually listed on the schedule yet, which is on Tuesday night. There’s a venue called EyeBeam in New York; we’re having a visualization showcase that evening. So there will be stuff to walk around and then a few talks, really from some of the most interesting companies doing viz and viz approaches. So that’s not up on the schedule yet, but that will be in addition. It gives a nice focus on Tuesday night.

Tish Shute: Oh, that’s super awesome. I’ll definitely go to that.

Tish Shute: I am very interested in mobile social communications and augmented reality – especially augmented reality that feels different, not just looks different, as Kevin Slavin puts it.

I am excited to see people thinking about data not just in terms of visualization, but in other ways too that we can feel it through our secondary senses as well (see Mike Kuniavsky’s talk at ARE2011, “Somatic Data Perception”).

Edd Dumbill: Yes, absolutely. That is where we view this as going. I will be incredibly depressed if I’m still looking at the world through a glowing rectangle in 10 years time.

Tish Shute: Yes, it would be! I am looking forward to see the new data start ups too.

Edd Dumbill: Yes, there are a variety of interesting startups, that I feel are particularly important in the data space. Media Sift and Data Sift, for example, Data Sift is doing a lot of real time processing on the Twitter fire hose. They provide real time analytics on Twitter, which I think is very important.

Tish Shute: In terms of using data to provision mobile experiences, real time is massively important, isn’t it?

Edd Dumbill: Absolutely. Yes.

Tish Shute: But real time data is still a big challenge, isn’t it?

Edd Dumbill: Yes. I mean right now, our focus on real time is probably at the technology level. Looking at real time, people are kind of building out the frameworks, companies like Media Sift and Data Sift creating parts of the experience.

And yes, our Where 2.0 conference will be focused more on the mobile experience.

Tish Shute: Re mobile experiences, I am very excited about Infochimps and their new geo APIs, and sensor data is becoming such a big part of the picture now too. But the Kinect has also opened up a whole set of possibilities for the future of sensor data!

Edd Dumbill: Yeah. I still think Kinect is probably one of the most exciting things going down because of the democratization of that kind of capability. Interesting things happen when the sensors become cheap, right?

When alongside a little camera in your iPad you have a Kinect sensor equivalent. That’s become extremely interesting because everybody has it with them and can do things based off it.

So the things that always fascinate me are when it becomes cheap and hackable.

Tish Shute: And if Kinect went mobile, that would be exciting?

Edd Dumbill: I think it’s entirely likely in the next couple years, yes.

The more sensors we can start instrumenting our mobile and personal devices with, I think it’s going to always result in some much more novel uses that we ever dreamed of.

Tish Shute: There was a lot of hoo-ha about Color when they launched this year. They were unable to capture a user base, but if they had issues of privacy might have come to the fore because they were really collecting more sensor data than any other app, right?

We are still waiting to see a breakthrough app in that area in terms of using all the phone sensors in ways that will really enhance a user experience rather than just the aims of data mining, aren’t we?

Edd Dumbill: Yes. I think this is one of the things where, in parallel, we’re really learning out the social and privacy implications of this kind of technology. It seems to me the focus has shifted from the tech in the second half of the year too. Frankly, everybody getting kind of freaked out about the amount of data that’s being mined and, you know, what’s acceptable use for that.

But on a slightly more prosaic level, there are some rather fabulous things being done. If you look at the Google Maps navigation experience on an Android phone. For instance, there’s some very practical applications of sensors collecting data with traffic and a variety of other augmentations going in that to actually do something useful.

So maybe we’d like to think we carry our sixth sense around with us in our pocket, and maybe we will. But we certainly can in our car right now with all the automatic rerouting and so on. That’s slightly more prosaic, but I think a lot more significant in terms of a pattern of how that can be applied.


Tish Shute: One of the Startups that really excited me in February at Strata, Santa Clara was Singly and The Locker project. They are really thinking innovately in the area of putting people at the center of their data.

I am looking forward to seeing the fruition of that work. And, while I’m enjoying Google +, it seems, we are just sort of holding up our hands and saying, “Well, there’s only one business model for data, and that is a centralized Fort Knox,” isn’t it? Or is there something that I’m missing?

Edd Dumbill: You’re right. I mean I think Google +, for instance, is rather the walled garden is a hedged garden. You know, there is a certain barrier there that I think is more about the fact that you need to put certain barriers up to actually create a decent user experience in the first place. I think user experience is one of the BIG problems with open data, and private data, to be honest.

There’s a reason we are not all writing PGP encrypted emails to each other, right? Because it’s so hard to make a UI for encryption that’s safe. Most people don’t use passwords properly. And I think a lot of the same user experience considerations come into this whole data thing.

Facebook can get away with anything they want to because have you ever tried using their privacy settings? Google, I think, more than anybody has tried to address this issue using sensible defaults, making the explanations clear. And they probably succeeded for a geek tech audience.

So I honestly think, probably, Locker’s biggest challenge, in that kind of approach, is definitely UI and giving the concept to the users so they can understand it.

But there’s certainly a very useful contribution to this conversation.

I think there are parallels in blogging, actually. There is a case where people have information they want to disseminate. And do you choose to do in on your own website, set everything up, publish for yourself, host for yourself, so you have complete control, or do you cede, for convenience, control to Blogger or Tumbler, knowing that you are being monetized somehow and that you’re playing in somebody else’s walled garden and don’t have that control?

So I haven’t really expanded that thought too much, but I think there’s something there in following that along and seeing where that actually leads.

But, you know, there is a whole technical challenge as well.

I really like the idea of being able to give permission to people. Being able to say, well, “I’m engaging you to do X,Y,Z in return for such and such. That seems like a good bargain to me. Giving up my data is a decent bargain for the services I’m getting back.” I mean that’s generally the contract we make in real life with people anyway.

That’s another thing re Google+, –why it’s a promising approach. At least in their rhetoric, they’re trying to say, well, “We’re trying to model this on the real life economy, the economy of real life interactions.”

Tish Shute: Yes. Any movement towards saying, well, “I’m not just collecting your data randomly, I’m collecting this data because I want to give something back to you that will enhance your interactions,” definitely feels like an improvement, doesn’t it?

Edd Dumbill: Yes. I think that bargain is clear. I’m just fascinated by who could be trusted and… I do actually wonder if there will be some kind of, rather than necessarily everything being decentralized like Lockers suggests, there might be an idea of a variety of inter-operating, trusted identity brokers. People who we would actually trust. Banks, right? We do that right now. Banks are pretty much our identity brokers. Who knows?

Tish Shute: I think, that is where the Locker project’s going with Singly, isn’t? Isn’t Singly the trusted broker for the Lockers, right?

Edd Dumbill: Yes. Now the question is whether you trust a startup with that or whether you’re going to trust… I mean, who knows? Trust levels are at such all-time lows with everybody right now. People in America won’t trust the government. I think Google are probably one of the most trusted brokers out there online.

Tish Shute: Perhaps, that’s interesting, isn’t it?

Edd Dumbill: I did write a piece, which kind of speculated that Google may become some sort of center brokering of social information and kind of a platform.

Tish Shute: Oh, yes, “Google+ is the social backbone” – a very thought provoking piece! It deserves an interview on it’s own!

But back to the Strata schedule! I notice you have DePodesta doing the Moneyball talk, right? What’s the 2011 twist on Moneyball?

Edd Dumbill: I think the twist on that is that the’re a lot more people can play now, really, which is why we’re having Strata in the first place. That 10 years ago the people doing this kind of stuff are McDonalds and Walmart and sports teams. Everybody, where there was large money, they could afford to gather the data. Maybe they could try this service out in making decisions based on it.

Well, we’re now in a very instrumented society where every business, every person has instrumented data about their interactions. I think the kind of resistance and dynamics and opinions that Moneyball brought up are the ones that people are going to be facing again right now as they seek to be more data-driven in what they’re doing.

It’s also very interesting to know 10 years on, what do you think? You’ve had 10 years of this, of sort of sabermetrics and so on. Have you matured in your view, have you softened?

What I’m endlessly and ultimately fascinated by is, where does this fit in the decision process and in the organization tree? Where does it mesh with vision?

Steve Jobs achieved it perfectly. He had vision and all kinds of things for his products. But Apple succeeded through a relentless operational efficiency. Absolutely relentless in their suppliers, their supply train, their manufacturing lines down to their detail. They are an utterly data-driven, process-driven organization at the same time as melding that with vision, design values and good quality. That’s a case where it worked together.

I’m eager to try and tease it out, figure out how that really works and how those things come together.

Tish Shute: And that’s another thread I see being explored at Strata, NYC. It’s not human versus machine or machine trumps human, but it’s human with machine. This is another theme, isn’t it?

Edd Dumbill: Exactly. We all operate by feedback loops. Really, what machines are doing enables us to get better quality data and in a tighter feedback loop.

Tish Shute: One feedback loop that we’re finding machines very useful for is understanding how we feel. I think that’s really interesting.

Edd Dumbill: Yes. I’m very fascinated by all the quantified-self stuff and where that can take us. At the end of the day, we have a very personal little organization to deal with, which is ourselves.


Quid: Building Software and Mathematical Solutions 
to Simplify Complex Decisions

Tish Shute: Yes! But the thing is we don’t understand ourselves in isolation, do we? I am definitely going to attend the session by Sean Gourley, CTO of Quid, on semantic clustering analysis. It seems like sentiment analysis is going big-time now, isn’t it?

Edd Dumbill: Yes. I mean, sentiment analysis is actually becoming a checkbox feature in databases now. The latest release of Greenplum has it built it. It’s that kind of level of feature that people want as social data is so important. Of course a lot of this is being driven by marketing and advertising.

Tish Shute: Yes but even re marketing data story telling has been taking some interesting and quirky turns hasn’t it?

Edd Dumbill: Yes, absolutely. I think there’s a lot of interesting research ahead of us there as well.

OKCupid Trends

Tish Shute: OkCupid is a very interesting example of data story telling that leverages our desire to know ourselves, and ourselves in relation to others.
.
Edd Dumbill: Yes. I mean they’re an example of a shift that’s happening in the PR industry, actually, which is companies understanding that telling marketing stories with data is very, very compelling. OkCupid really used that to hit well above their weight. Of course they got acquired as a direct result of that and their profile.

Tish Shute: I know OKCupid got acquired by Match.com, but you were saying they hit above their weight by using this analysis? How did that work?

Edd Dumbill: I think a lot of it’s down to their blog. That they analyze these things, publish them on their blog. It got a lot of attention, generated a lot of media stories, which brought them to Match.com’s attention. There’re millions of – well a large number of dating sites. But they differentiated themselves through the smart use of their data.

Tish Shute: Data and Games is an area I am very interested in. Zynga changed the game with game analytics and social games. And now we are seeing Rovio partner with Medio for analytics, (see Green pigs and data). But I noticed that you don’t have games as a strong theme on the schedule?

Edd Dumbill: I think you’ll see more of that on the West Coast to be honest. It’s not that we’re not interested. I just feel that the center of gravity to that topic is probably back on the West at the moment.

Tish Shute: So what’s after Zynga in terms of game analytics? A nice easy question!

Edd Dumbill: Sure. Let me predict the future for you.

Tish Shute: Yes please do!

Edd Dumbill: I don’t know, to be honest. One of the very interesting things about games is that it helps us understand the real world by modeling and playing around. I’m highly fascinated to see some more of those things played out through real life actors. There’s been some examples right out of Scavngr and whatnot. But if any of those techniques can really start to make a way into mobile technology, that’s one interesting thing.

What lessons can we take from what we’ve actually learned in game analytics that are reproducible and useful elsewhere?

Gamification is a bit of a trend right now. I am slightly skeptical… But I am fascinated by a lot of systems that are having these game elements added to them. And so the second question is, if you’re having games added to things, like losing weight or saving money or writing a book, I’ve seen that too, what can you apply from the analytics world on top of that, and learn about systems and tweak them?

I don’t have that good of an answer for you. How my game is, is not steeped in that. But I am aware that there’s probably a lot of progress in games that has yet to be applied anywhere else.

Zynga and whatnot, is kind of a space race, isn’t it, to monetize that. Space races generate technologies that can be applied in a variety of places.

What are the spinouts of game analytics that we can actually use elsewhere?

“These Bloom Instruments aren’t merely games or graphics. They’re new ways of seeing what’s important.”

Cartagr.am by Bloom

Tish Shute: Last February, at Strata, I was very struck by the new work by Ben Cerveny and Bloom on “pop cultural instruments for data expression” (also see Ben Cerveny’s talk at ARE2011).

Edd Dumbill: Yeah. I love every time the visualization comes onto a tablet….there’s an interesting back channel there.

And Google has done this in extreme to add to their great advantage. There’s a potential when you read an E-book, or you interact with the visualization of a tablet, that it can learn from your interactions.

If you read an E-book, and the book is instrumented and sends stuff back, then the book can read you at the same time that you’re reading it. That kind of collective intelligence can then be harnessed.

So what if Bloom’s pop culture visualizations are instrumented so that they know how people are using it? Well what can they learn about that? About either the quality of the visualization, about what’s interesting to data and back at the same time?

This is what the fundamental principles I think even of Web 2.0 and definitely in this era of big data that we’re in, is that the secondary signals, the exhaust from any electronic product, can be incredibly valuable.

We know that every time you run Google you are probably a part of at least one experiment that they are running to determine an optimal, and optimize their product through that. And how can you turn this up to generalize that out?

Tish Shute: I agree.  This is at the core of the art, science and business of data.  I hear your phone ringing, but do I have time for one more quick question?

Edd Dumbill: Oh yes.

Tish Shute: So it sort of follows on from my previous question.  The relationship between the crowd sourced intelligence and machine intelligence has played a huge role in making data work and  solve real world problems – Crowd Flower, for example.

Where are we at now with this relationship between crowdsourcing power of, for example, Crowd Flower and Mechanical Turk when combined with machine intelligence. Is there anything new going on here?

Edd Dumbill: What we’re actually starting to do is learn where to apply these tools. We’re reaching a point of understanding what crowd-sourcing is for, how to better design crowd-source tasks and so on in innovative uses.

One of the things I am particularly excited about is Natala Menezes who was at Amazon working on Mechanical Turk, she’s now moved to a company called GigWalk, which is a Turk platform that’s mobile.

So if you want to assign tasks that depend on people being in particular places and being able to do particular things, this is a platform for turking using that, which I think is fascinating. That’s definitely a new approach.

Tish Shute: Yes GigWalk is awesome – I saw that Photosynth is partnering with GigWalk. That is interesting – perhaps a step towards strong AR! ( see Read Write World and Blaise Aguera Y Arcas’s work on Photosynth was big news at ARE2011).

Edd Dumbill: Natala will be talking about GigWalk. I think the session is called quirky crowdsourcing. I want to call it Quirky Turks.

Tish Shute: [laughs] I like that.

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