Pieces of Time, Place, Things, and Personal Connections Loosly Joined

There are a lot of people wondering what to do with all the data that is being generated by social tools/sites around the web and the social tools/services inside organization. Well, the answer is to watch the flows, but the pay off value is not in the flow it is in contextualizing the data into usable information. Sadly, few systems have had the metadata available to provide context for location, conversation flow, relevant objects (nouns), or the ability to deal with the granular social network.

How many times have you walked bast a book store and thought, “Hmm, what was that book I was told I should check out?” Or, “my favorite restaurant is book filled, what was the name of the one recommended near here a month or so ago?” When the conversations are digitized in services like Twitter, in Facebook, or the hundreds of other shared services it should be able to come back to you easily. Add in Skype, or IM, which are often captured by the tools and could be pulled into a global context around you, your social connections, the contexts of interest the for the relationships, and the context around the object/subject discussed you should have capability to search to get to this within relatively easy reach.

Latency from Heavy Computational Requirements

What? I am hearing screaming from the engineers about the computational power needed to do this as well as the latency in this system. Design Engaged 2005 I brought up a similar scenario, within context of my Personal InfoCloud and Local InfoCloud frameworks called Clouds, Space & Black Boxes (a 500kb PDF). The key then as it is still is using location and people to build potential context and preprocess likely queries.

When my phone is sharing my location with the social contextual memory parser service that see I am quite near a book store (queue the parsing for shared books, favorited conversations with books, recent wish list additions (as well as older additions), etc. But, it is also at the time I usually eat or pick up food for a meal, so restaurant and food conversations parsed, food blogs favorited (delicious, rated on the blogs, copied into Evernote, or stored in Together or DevonThink on my desktop, etc.) to bring new options or remind of forgotten favorites.

Now, if we pull this contextual relevance into play with augmented reality applications we get something that starts bringing Amazon type recommendations and suggestions to play into our life as well as surfacing information “we knew” at some point to our finger tips when we want it and need it.

Inside the Firewall

I have been helping many companies think through this inside the firewall to have, “have what we collectively know brought before us to help us work smarter and more efficiently”, as one client said recently. The biggest problem is poor metadata and lack of even semi-structured data from RDFa or microformats. One of the most important metadata pieces is identity, who said what, who shared it, who annotated it, who commented on it, who pointed to it, and what is that person’s relationship to me. Most organizations have not thought to ensure that tiny slice of information is available or captured in their tools or service. Once this tiny bit of information is captured and contextualized the results are dramatic. Services like Connectbeam did this years ago with tags in their social bookmarking tool, but kept it when they extended the ability to add tagging in any service and add context.

Enterprise 2.0 Wrap-up

Each year the Enterprise 2.0 Conference has been different for me, this was my third year in a row attending. Two years ago there were a organizations trying these tools (other than on a server under somebody’s desk), tool makers were trying to catch-up to potential customer desires, and most consultants were trying to apply old models of thinking to Enterprise 2.0 (which broke most of their models). Last year the tools started to catch-up with offerings that were much closer to customer desires, a much broader set of businesses were interested and looking for understanding, and the big consulting firms were touting their successes with out understanding what they did.

This year at Enterprise 2.0 had a very different feel. There is getting to be good depth of understanding of the potential capabilities from customers. The tool makers are really hitting stride and solving some of the tricky problems that come with a six months to a year of use inside an organization (see sub-head below "Open Source Tools as First Step") to understand what the tool makers are doing is valuable. Consultants are getting it, but the big consulting firms continue to have value in individuals and not the firms. The most impressive consultants (and analysts) are the solo players and small firms.

Twitter and Microsharing for Enterprise

There were a handful of very well attended sessions on Twitter and similar microsharing tools for the enterprise this year (last year only one). The sessions were largely love-fests of "isn’t this great" and "here is the value", which is good. But, there are some downsides that need addressing and sticking my head in a few sessions (too packed to get a seat) and talking with others who attended the sessions, the downsides (they have solutions, but not quite built yet) were not highlighted nor were the potential solutions.

I am skipping the positives of these tools as they are can be found quite readily. The cautions and lessons learned relate to two points the volume & velocity of information and use/reuse of the snippets.

Nearly every organization that has successful adoption with microsharing tools quickly believes there can be too much of a good thing. Like my presentation last year at Enterprise 2.0 (After Noah: Making sense of the flood (of information) microsharing has great content flowing through it, but it needs filters (on who and what) as well as as attractors for grabbing things that are valuable that pass through when the user is not looking (the "if it is valuable it will find you" is not something that you want your organization to depend upon).

The second issue is use and reuse of that information. The information snippets running through the microsharing tools are often valuable, some have future value and are received out of the context of need, while others have current value. Most of the tools only focus on sharing the snippets not holding on to them or easily turning them into other valuable information forms (documents, blogs, aggregation of related items for discussion, etc.). Without thinking of what comes next with information flows in the organization’s ecosystem problems get created quickly from the cool adoption. That is not to say that the solutions are difficult or around the corner, but they are not in most products yet.

One service that I saw in the exhibit hall that used the organization’s ecosystem well was Brainpark. Brainpark is a mix of microsharing, aggregation of information and objects, and builds off of experience across the organization. It is a hosted solution that is a fully open space and transparent across the organization (depending on your organization that is good or less than optimal (Sarbanes Oxley peeks in).

Case Studies Predominantly from Government and Government Contractors

This year, just like the past two a majority of the case studies were government or government contractors. Susan Scrupski asked in a Tweet why this was so. One reason (having worked inside government as a contractor doing this things nearly a decade ago) is freedom to talk about what is going on. Many businesses look at these tools as competitive advantage and will talk about the their success on a high level, but lessons learned (downsides) start running into SEC regulations and admissions of less than optimal results (a downside for stocks). Also many of the companies using the new breed of social tools are technology related companies and often they are considering how to turn what they have deployed into a product they can sell in the future or at least a service offering. This sharing can run a foul of SEC restrictions. The government organizations and government contracting companies are freer to discuss their implementation of these tools and the contracting companies see this as a means to pitch their capabilities.

Last year Lockheed Martin generated a lot of buzz with their discussion of the platform they assembled and built. This year they discussed it in more depth, but the point that the only two infringements on their service were one person selling their car (no commerce is allowed) and one person criticizing a decision by the CEO (nobody is allow to criticize the CEO) were good for demonstrating how well people use the social tools with little concern (although the buzz from LM’s presentation to a person this year was "I will never work for LM because you can’t criticize the CEO").

Booz Allen Hamilton was the Open Enterprise winner and discussed in-depth their tool deployment and their use of open source tools and low cost for deploying. This was quite a different perspective from Lockheed Martin’s deployment last year that was incredibly costly.

Open Source Tools as First Step

One thing that I have seen across the years, not only at Enterprise 2.0 but prior, is that many organizations start their social tool endeavors with open source tools. While I am a big proponent of open source tools, one has to be mindful of the disadvantages as well as the advantages (just like every other tool). Open source tools are a good first step to see how tools could be used in an organization, but many of the tools need extensive customization to scale and to meet the the user experience and social needs of those who are not an organization’s early adopters.

In my presentation last year "After Noah…" most of the downsides and lessons learned came from people deploying Scuttle as their social bookmarking tool. Scuttle is a decent tool for small deployments in-house that do not need to scale, but the management of the tools and the lack of intelligence in Scuttle that is needed to deliver solid knowledge and understanding around the organization are not in it. There are many elements in Scuttle that limit adoption, unless in a very tech savvy environment, and require moving to a real social bookmarking and tagging solution after six month or a year. Not only is adoption hindered, but easily surfacing information, knowledge, and intelligence captured in the tool is really difficult. Scuttle lacks the algorithms, social understanding, contextual engine, and user experience to be a long term (more than one year) solution for anything more than a small division.

The other open source tool that is widely deployed and equally as problematic as Scuttle is MediaWiki. I continually see MediaWiki deployed because it is “what is under Wikipedia”. While that is well and good to get started, MediaWiki falls into the same problems as Scuttle with adoption, scale, lack of the essentials, and missing intelligence engines. MediaWiki requires heavy modifications to work around these problems. One of the problems that is most problematic are those around human social interactions, which nearly every organization I talk with lacks in their resources as they development and design teams that build, implement, and incrementally improve their products.

Both of these tool types (social bookmarking and wikis) have great commercial products that provide much better overall adoption opportunities as well as have full-time staff who understand what is needed to get the most value out of what is contributed and how to include the difficult pieces around sociality, which greatly increase adoption and long term use.

More Than Just Tools

This year there was quite a bit of discussion at Enterprise 2.0 around tools are good, but there is much much more than just tools as as a solution. Adoption practices were discussed broadly, but some of the best snippets that echo my experience were in the video clips captured by and used by Stowe Boyd and Oliver Marks in their Open Enterprise session (the full collection of unedited video interviews are available at Enterprise 2.0 - Open Enterprise [http://enterprise2blog.com/category/open-enterprise-2009/]). One snippet that rang very true was from Charlene Li where she talked about a large hindrance to adoption was people lacking the understanding of what openness is in the enterprise and that it is a possibility. I often find most organizations need to have the conceptual model (understanding of what the tools are and freedom and control put in the people’s hands as well as it is their organization allowing them to do this) into people’s head is the first step and not talking "carrots and sticks", which often lead to less than optimal long term outcomes and often are counter productive.

It was great to hear other people discussing this in sessions as well as the hallway conversations. If this is of interest the full videos have been made available to the community to listen to and use as an open resource. Please go take advantage of it and use them to help get informed.

Gaps in Sociality

Much of my discussions with my clients and potential clients as well as my 13 years of experience building, maintaining, and improving social tools for use involves focusing on what holds back adoption and use of tools. There are four elements that need to be in balance: Tools, user experience (ease of use), sociality, and adoption/engagement resources. Much of that was discussed in sessions at Enterprise 2.0 this year was tools and adoption/engagement strategies (as just stated there were some large holes in adoption and engagement strategies). On the exhibit hall floor the vendors were touting their ease of use and user experience that is built into their products.

The big gap that was really weak was sociality. As those who have deployed tools and worked to improve them have found how people interact with other people in these digital social tools is a large area that needs addressing. This is one area that really needs to be addressed within the tools as the depth of understanding needed inside organizations to add this is rarely there. There is a large education effort needed to explain what all of this is, how to think about it, how to evaluate tools/solutions around it, how to assess existing deployments, and how to then improve them. When I have IT shops or developers in my workshops this is an area that is really not familiar to most of them. Some of the user experience designers have an understanding of the need, but lack the skills to get the back end development in place to feed the front end components. Most decision makers do not have this on their radar (unless they have had tools and services running for 6 months to a year and are looking for that next step up), but even when they do they only understand something there is broken and lack enough understanding to know how to understand the problems and then address it.

As I talked with people in the hallways and late at night and mentioned scenarios that are indicators of problems in tools around sociality, nearly everybody said yes we see a lot. To a person not one of them had thought of sociality as a problem or even knew of anybody who could help understand it and address it.

This is the next hurdle to start getting over. Hopefully next year and at this Fall’s Enterprise 2.0 in San Francisco, this will be subject matter that is covered so to highlight where the problems lay and how to start working with vendors and developers on ways to improve on what is there.

[If you are looking to get a grounding in this I am finally offering workshops on Social Design for Enterprise, which is described in more depth in the Rock Stars of Social CRM. The real stories, experience, value to organizations, tethering CRM and interaction in social tools not only was great from a showing the power of use of tools in a manner that had deep business value, but the stories of real use and lack of tools and services around optimized use of the tools. This session really should have been not only in the main tracks, but could have stood out enough to have been a main session. It added credibility and depth of understanding social tools from a business perspective in a manner that makes the usual social media discussions look incredibly thin. Radian6, Chris Brogan, Paul Greenberg, Brent Leary, Frank Eliason, and Michael Thomas (National President of the CRM Association) did a killer job with this session and totally rocked the house.

Tagging

Lastly, tagging. While there was not tagging focussed session and tagging has become the sleeping giant (nearly every social software consultant with deep background asked why there was not a session on tagging as they are finding it is one of the most valuable resources in their tool belt for driving value to their customers). Connectbeam and Lotus Connections Dogear were on the Exhibition floor and were getting attention, I heard nearly every other vendor touting they have tagging in their offerings. This is a good thing and something that is also problematic.

About four years ago I prognosticated tagging would be in most tools, but that reality was going to be problematic unless tagging was done well (at a minimum object being tagged, tag, and cross tool identity of the person tagging). Well this last year I had one large client hit that problem and since I have heard of it five or six more times. While some commercial tools have done tagging well most home grown or open source solutions (see the WikiMedia mention above) do not.

My presentation from last year is even more relevant this year and there is a dire need for aggregation and disambiguation across tagging in various tools. At the Enterprise 2.0 conference I heard this echoed many times when I started asking about tagging in deployments. There is much more to write on this and to share (yes the book is still coming and much of this will be addressed there as well as in future posts).

Summary

Enterprise 2.0 has become my favorite conference as the problems I have been seeing for years and working on resolutions are echoed here. The reality of Web 2.0 and social interaction hits home here, particularly the lack of depth and problems in the Web 2.0 tools (which also need to be addressed, but with millions of users it looks like success not a really small percentage of adoption).

I am looking forward to next year as well as the Enterprise 2.0 San Francisco conference in the Fall.

The Social Enterprise

I am just back from Enterprise 2.0 Conference held in Boston, where I presented Bottom-up All The Way Down: How Tags Help Businesses Organize (thanks to Stowe Boyd for the tantalizing session title), which was liveblog captured by Sandy Kemsley as "Enterprise 2.0: Thomas Vander Wal". I did not catch all of the conference due to some Boston business meetings and connecting with friends and meeting digi-friends whose work I really enjoy face-to-face. The sessions I made it to were good and enlightening and as always the hallway conversations were worth their weight in gold.

Ms. Perceptions and Fear Inside the Corporate Walls

Having not been at true business focussed conference in years (until the past few weeks) I was amazed with how much has changed and how much has stayed the same. I was impressed with the interest and adoption around the social enterprise tools (blogs, wikis, social bookmarking/folksonomy, etc.). But, the misperceptions (Miss Perceptions) are still around and have grown-up (Ms. Perception) and are now being documented by Forrester and others as being fact, but the questions are seemingly not being asked properly. Around the current social web tools (blogs, wikis, social bookmarking, favoriting, shared rating, open (and partially open collaboration) I have been finding little digital divide across the ages. Initially there is a gap when tools get introduced in the corporate environment. But this age gap very quickly disappears if the incredible value of the tools is made clear for peoples worklife, information workflow, and collaboration, as well as simple instructions (30 second to 3 minute videos) and simply written clear guidelines that outline acceptable use of these tools.

I have been working with technology and its adoption in corporations since the late 80s. The misperception that older people do not get technology, are foreign to the tools, and they will not ever get the technical tools has not changed. It is true that nearly all newer technologies come into the corporation by those just out of school and have relied on these tools in university to work intelligently to get their degree. But, those whom are older do see the value in the tools once they have exposure and see the value to their worklife (getting their job done), particularly if the tools are relatively simple to use and can be adopted with simple instruction (if it needs a 10 to 200 page manual and more than 15 minutes of training to start using the product effectively adoption will be low). Toby Redshaw of Motorola stated on a panel that he found in Motorola (4600 blogs and wikis and 2600 people using social bookmarking) "people of all ages adopt these tools if they understand the value connected to their work". Personally, I have seen this has always been the case in the last 20 years as this is how we got e-mail, messaging, Blackberries, web pages, word processing, digital collaboration tools (the last few rounds and the current ones), etc. in the doors of small to large organizations. I have worked in and with technically forward organizations and ones that are traditionally thought of as slow adopters and found adoption is based on value to work and ease of use and rarely based on age.

This lack of understanding around value added and (as Toby Redshaw reinforced) "competitive advantage" derived from the social tools available today for use in the enterprise is driven by fear. It is a fear of control that is lost from the top-down. But, the advantage to the company from having this information shared and easy found and used for collaboration to improve knowledge, understanding, and efficiency can not be dismissed and needs to be embraced. The competitive advantage is what is gained today, but next month or next quarter it could mean just staying even.

Getting Beyond Fear

But, what really is important is the communication and social enterprise tools are okay and add value, but the fear is overplayed, as a percentage rarely occurs, and handling the scary stuff it relatively easy to handle.

Tagging and Social Bookmarking in Enterprise

In the halls I had many conversations around tagging ranging from old school tagging being painful because the experts needed to tag things (meaning they were not doing the job as expert they were hired to do and their terms were not widely understood) all the way to the social bookmarking tools are not scaling and able to keep up with the complexity, nor need to disambiguate the terms used. But, I was really impressed with the number of organizations that have deployed some social bookmarking effort (officially or under somebody's desk) and found value (often great value).

Toby Redshaw: I though folksonomy was going to be some Bob Dillon touchy-feely hippy taxonomy thing, but it has off the chart value far and above any thing we had expected.

My presentation had 80 to 90 percent of the people there using social bookmarking tools in some manner in their organization or worklife. The non-verbal feed back as I was presenting showed interest in how to make better sense of what was being tagged, how to use it better in their business, how to integrate with their taxonomy, and how to work with the information as the tools scale. The answers to these are longer than the hour I have, they are more complex because it all depends on the tools, how they are set-up and designed, how they are used, and the structures of information inside and outside their organization.

Breaking Down LibraryThing vs. Amazon Tagging Analysis

I have been rather heads down on a project the last week or two since the Thingolology: When tags work and when they don't: Amazon and LibraryThing blog post was created.  Tim from LibraryThing, who wrote the post, was kind enough to give me an early heads-up and I responded a few days later.  I have also had many people e-mailing and IM'ing me links to it and other people praising the post.  This has drawn me into some long discussions into the comparisons that are made, which are difficult to call valid. However, there are some great nuggets of insight that Tim brings forth, which sadly are getting overlooked in an apples to oranges comparison.

The Great Nuggets

I will (uncharacteristically) begin with the things I like with the analysis that I have not seen elsewhere. It is also appropriate to mention I love LibraryThing as it is really an innovative approach to organization of one's own things and there are many things it does that are done very well.

The first bit that is really good is the difference on LibraryThing in the use of tags based on the number of items in a person's collection.  The more items the great the probability that person will use tags.  The more items in a persons collections the greater number of tags they use.  Tim states it as,

Tags work best when they're about memory, so tagging makes the most sense when you have a lot of something to remember. On LibraryThing, members with under 50 books seldom tag, but users with 200 or more usually do. When you get right down to it, few of us need to remember 200 books on Amazon.

This is really good, because it points out that there is a trend toward people using tags when their collection of objects grows. Two of the reasons people tag (of many) is to aggregate as well as sort information.  It is building hooks to pull things together that are similar. It is a flat organizational structure.

Ironically, the other really good point is the core of why I think the analysis is really flawed:

In fairness, Amazon didn't give tagging a lot of prominence. Tags were stuck in the middle of their ever-lengthening book page—one section for adding your own tags, another for showing others' tags. They didn't push them very hard.

Oddly this bit is one of many reasons why the analysis does not hold up. It is really important to grasp that there are many different reasons why people tag. For tagging to work it needs to scale, but getting people to tag takes work through explanation and examples. Not only did tagging not have prevalence on the page, but tagging was not in all user interfaces as of 7 months ago on US Amazon site.

Apple to Oranges

The major problem with the analysis is the comparison is being made on 2 vastly different products, with 2 vastly different uses, with 2 vastly different points of focus.

First Order of Functionality

The first order of functionality for both sites/products is vastly different.  LibraryThing puts its functionality focus on people organizing their book (and other media) collections online.  Tagging is central to what LibraryThing does and its means to enable organization. It is for people to claim and organize what they own, share that with others, and find related materials.

Amazon has it first order of functionality around people buying products they want. From this point Amazon uses other tools to ensure the person is buying what they want or believes they want.  Tagging is not central to the first order of functionality for Amazon, but it can and is being used to help people find products. People are not organizing their collection on Amazon, well as of yet.

Options for Similar Input

The two sites compared have very different sets of tools and the numbers of options are vastly different.  The length of time the other options have been in existence is nearly an order of magnitude different. LibraryThing has puts its primary focus on tagging and ratings, while it offers the ability to have people write a review very few people people seem to write them (I would not dare say reviews are a failure on LibraryThing as they are helpful). With the focus on tagging and ratings and with few other options to manage the collection it is no wonder tagging took off.

Amazon has been around for much longer and has offered reviews, ratings, wish lists, shopping lists, sharing purchases, listmania, registries, customer discussions about the product, search suggestions, share with friends, wiki pages for products, etc.  The reviews and ratings are the two things that people using Amazon are most familiar with as they have been around for many years. All of these elements are social web means for people to comment, track (all reviews on on the identity page for the individual).  Tagging has not had anything close to the prominence on the Amazon product pages or the site as it does in LibraryThing, due to the other options and the years of habitual use of the other options.

Amazon, only in recent months, has given tagging a little more prominence on the product pages. Amazon is still iterating drastically what they are doing with tags as screen captures over the past six months (even going back 18 months) will show.  Their current iterations are really are moving toward utterly brilliant interactions in some areas (I have done a couple hour long impromptu presentations on the depth of what Amazon is doing with tagging and how it seems to be making a difference - this may become another post, but it will be really long even for my norm).

Availability of Tagging in the Tools

One of the claims that bothered me most was the claim that Amazon and LibraryThing has roughly had tagging for the same amount of time.  As of 7 months ago I had people showing me they did not have tagging functionality in the Amazon page interface. Tagging on Amazon is only available on the United States Amazon site, as far as I can tell. Claiming the date that when tagging first appeared on the Amazon product pages for some of us, it even seems to have disappeared for a while, is not really a solid claim to make. Again it is another really weak comparison.

Related to the last major point made, options for similar input, the adoption rates for new tools for people using Amazon has been relatively slow. But, the tools quickly make difference and become valuable. One example of tools is Amazon's Listmania.  This has been on the Amazon site, rather prominently, for many years but many people (the people whom I am talk to about Amazon tagging and their uses of it) have not noticed it. This is directly related to the other features that do know. But, for Amazon the Listmania has been a really successful tool for increased sales.

Mis-understanding of DefectiveByDesign

The analysis claimed the "DefectiveByDesign was spam by a few people. But, the 501 people currently using the tag 5809 times across 1063 products may have a different view.  The dominant use of the tag is for items that have copy protection and/or DRM. Talking to people who do use Amazon tags, this is often one of the tags people find very helpful as it is a tag for missing metadata about a product.  None of the product pages state the OS will not let you copy your own media you have bought or the CD you bought will not let you copy it so to put it on your iPod (which is where you listen to all of your music). This tag is not spam and for many people I have talked with about tagging on Amazon has been how people found out about Amazon tags and the value it has for them personally.

Tagging in Amazon is True Longtail Commerce

One of the things that Amazon is doing really well with tagging, not covered in the analysis piece at all, is helping people interested in the LongTail products connect and share recommendations.  Because of changes in the interface that Amazon has been iterating through (there are many more potential possibilities where Amazon tagging could really soar) more people are using the tagging to connect products not normally connected.  One tag that has been around for a while is "discomusic dot com top pick", which is a great hook for the longtail as it is the picks from a site and putting them in a context that helps join disparate items together. The Amazon tag page for discomusic dot com top pick is a great jumping off point for beginning to grasp the insane power that one variation of use for tags has within commerce.

The Future is Now for Information Access

An interview with Microsoft's Steve Ballmer in the in the San Francisco Chronicle regarding Steve's thoughts about the future of technology, information, and Microsoft (including their competition) sparked a few things regarding the Personal InfoCloud and Local InfoCloud. It could be the people I hang out with and the stay-at-home parents I run across during the day, but the future Ballmer talks about is happening now! The future will more widely distributed in 10 years, but the desire and devices are in place now. The thing holding everything back is content management systems that are built for the "I Go Get Web" and people implementing those systems that see technology and not a web of data.

Let's begin with Ballmer's response to the question, "Ten years from now, what is the digital world going to look like? To which Ballmer responds: A: People are going to have access to intelligence in multiple ways. I'm going to want to have intelligence in my pocket. I'm going to want to have intelligence in my TV. I'm going to want to have intelligence in my den and in my office. And what I may want in terms of size, of screen size, of input techniques, keyboard, handwriting, voice, may vary.

I think what we'll see is, we have intelligence everywhere. We have multiple input techniques, meaning in some sense you may have some bit of storage which travels with you everywhere, effectively. Today, people carry around these USB storage devices, but you'll carry around some mobile device.

The problem is people have the devices in their pockets today in the form of Blackberries, Treos, Nokia 770s, and just regular mobile phones with browsing and syncing. The access to the information is in people's pockets. The software to make it simple with few clicks is where the battle lies. My Palm OS-based Treo 650 is decent, but it has few clicks to get me to my information. My friends with the Windows version of the same device have six or more clicks for basic things like calendar and address book. Going through menus is not simplicity. Going directly to information that is desired is simplicity. A mobile devices needs simplicity as it is putting information in our hands with new contexts and other tasks we are trying to solve (driving, walking, meeting, getting in a taxi, getting on a bus, etc.).

The Information

Not only does the software have to be simple to access information in our Personal InfoCloud (the information that we have stated we want and need near us, but have structured in our personal framework of understanding). We also interact with the Local InfoCloud with is information sources that is familiar to us to which we have set a means of easing interaction (cognitively, physically, or mechanically).

This "intelligence" that Ballmer refers to is information in the form of data. It needs to be structured to make solid use of that information in our lives. This structure needs to ascend below the page level to at least the object level. The object level can be a photo with the associated metadata (caption, photographer, rights, permanent source, size, etc.), event information (event name, location, date and time, permanent location of the information, organizer, etc.), full-text and partial-text access (title, author, contact info, version, date published, rights, headers, paragraphs, etc.).

These objects may comprise a page or document on the web, but they not only have value as a whole, they have value as discrete objects. The web is a transient information store for data and media, it is a place to rest this information and object on its journey of use and reuse. People use and want (if not need) to use these objects in their lives. Their lives are comprised of various devices with various pieces of software that work best in their life. They want to track events, dates, people, ideas, media, memes, experts, friends, industries, finances, workspaces, competition, collaborators, entertainment, etc. as part of their regular lives. This gets very difficult when there is an ever growing flood of information and data bombarding us daily, hourly, consistently.

This is not a future problem. This is a problem right now! The information pollution is getting worse every moment we sit here. How do we dig through the information? How do we make sense of the information? How do we hold on to the information?

The solutions is using the resources we have at our finger tips. We need access to the object level data and the means to attach hooks to this data. One solution that is rising up is Microformats, which Ray Ozzie of Microsoft embraces and has been extending with his Live Clipboard, which is open for all (yes all operating systems and all applications) to use, develop, and extend. The web, as a transient information store, must be open to all comers (not walled off for those with a certain operating system, media player, browser, certain paid software, etc.) if the information is intended for free usage (I am seeing Microsoft actually understand this and seemingly embrace this).

Once we have the information and media we can use it and reuse it as we need. But, as we all know information and media is volatile, as it changes (for corrections, updates, expanding, etc.) and we need to know that what we are using and reusing is the best and more accurate information. We need the means to aggregate the information and sync the information when it changes. In our daily lives if we are doing research on something we want to buy and we bookmark it, should we not have the capability to get updates on the prices of the item? We made an explicit connection to that item, which at least conveys interest. Is it not in the interest of those selling the information to make sure we have the last price, if not changes to that product? People want and need this. It needs to be made simple. Those that get this right will win in the marketplace.

What is Standing in the Way?

So, the big question is, "what is standing in the way"? To some degree it is the tools with which we create the information and some of it is people not caring about the information, data, and media they expose.

The tools many of the large information providers are using are not up to the task. Many of the large content management systems (CMS) do not provide simple data structures. The CMS focusses on the end points (the devices, software, tools, etc.) not the simple data structures that permit simple efficient use and reuse of the objects. I have witnessed far too many times a simple web page that is well structured that is relatively small (under 40KB) get turned into an utter mess that is unstructured and large (over 200KB). Usable, parseable, and grabable information is broken by the tools. The tools focus on what looks good and not what is good. Not only is the structure of the data and objects broken, but they are no longer addressable. There are very few CMS that get it right, or let the developers get it right (one that gets it right is Axiom [open disclosure: I have done work with Siteworx the developer of Axiom]).

The other part of the problem is the people problem, which is often driven by not understanding the medium they are working within. They are focus on the tools, which are far from perfect and don't care enough to extend the tools to do what they should. Knowing the proper format for information, data, media, etc. on the web is a requirement for working on the web, not something that would be nice to learn someday. Implementing, building, and/or creating tools or content for the web requires understanding the medium and the structures that are inherent to building that well. I have had far too many discussions with people who do not understand the basics of the web nor the browser, which makes it nearly impossible to explain why their implementation fails. Content on the web has requirements to be structured well and the pages efficiently built. The pages need to degrade (not with an $80,000 plug-in) by default. Media on the web that is for open consumption must work across all modern systems (this should be a 3 year window if not longer for the "modern" definition).

Summary

So what is the take away from this? Content needs to be built with proper structure to the sub-object level (objects need the metadata attached and in standard formats). The content needs to be open and easily accessed. Portability of the information into the tools people use that put information in our pockets and lives must be done now. We have the technology now to do this, but often it is the poorly structured or formatted information, data, media, etc. that stands in the way. We know better and for those that don't know yet the hurdle is quite low and easy to cross.

PC Forum Eventspace - Users Make Content Their Own

PC Forum Eventspace - Users Make Content Their Own seems to have only part of the equation correct.

It seems that the commercial ventures only partly understand the Personal InfoCloud. The panel, as I read the excerpts, (Rob Glaser of Real Networks, Lisa Gansky of Ofoto and Shane Robison of HP) understand users creation of information as content creators. Having used Real products and Ofoto, they do not seems to fully get the personal management of the information very well. These products set barriers to reuse and have poor interaction design.

Lets look at Ofoto, which has a good business model to upload photos to share them and allow the user and their friends to make prints of the photos. The tools for photo management have a lot to be desired. The tools only permit management of the photos for Ofoto's use. Users want more management than these uses. I have been frustrated with photos that have gone missing in Ofoto albums.

The tools do not allow the user to manage information across devices. Moving digital media easily from PC to handheld and to the Web easily and seamlessly should be the goal. This transfer of digital media and content is the idea behind the Personal InfoCloud. This is what keeps the users from using devices and technology in general to help their lives.

Maybe next years PC Forum will focus on better understanding the Personal InfoCloud. In the Great Weird Ideas notes Brett Fausett's ideas on Personal Data for Personal Services is on target with the Personal InfoCloud.