[Cross-posted from a piece I wrote for Hukilau.]

While discussing the recent success of indie web video shop, Happy Little Guillotine Films, in securing a million dollar tie-in with 7-Eleven, Marc Huvstedt at TubeFilter notes the relative obscurity still visited upon the web series genre. Even Joss Whedon’s Dr. Horrible’s Sing-Along Blog scraped by on a $340,000 budget, he laments. Web TV, it seems, just can’t get enough investors exited about producing content.

But the problem isn’t a lack of compelling content. It’s that web video hasn’t been integrated into the primary consumption channel for serialized video entertainment. Viewership is scatterred, fleeting, and uncertain. IPTV is going to change this. Yesterday’s announcement of the new Google web TV device heralds the onrushing age of internet-enabled television currently being built out by Google, Sony, Samsung, Philips and many others ready to grab video from YouTube, Hulu, Google, (Hukilau!) etc… and bring it right to your living room. Imagine Dr. Horrible in HD on your widescreen LCD with live IM chat, twitter feed overlay, and mobile alerts for new episodes, fan contests, and transmedia spin-offs, back-ended with analytics, sentiment analysis, and ad-profiling, cut up with on-the-fly capture & remixing… You get the idea.

While traditional tv networks struggle to get into the social media persuasion game, internet producers were born & bread in leveraging social networks to grab eyes and build engaged fan bases. They’ll have a natural advantage in the set-top convergence.

Within 5 years many households will have upgraded to IPTV hardware and the browsing workflows will have been integrated. Viewers will more effectively search, filter, & share across the new media landscape, from traditional networks out into the long-tail of the web. Digital convergence in the wired living room will give web TV a huge lift in steady viewership and draw out increased investments in compelling, engaging, and ambitious stories from independent producers. IPTV invites the legions of independent talent to bring their stories & creations to the television audience. This will be incredibly disruptive.

[As an aside, keep an eye on Adobe's deal-making to get Flash as the standard interface layer for IPTV's.]

[Mike Elgin has a good post looking at some of the social opportunites with Smart Tv.]

[Engadget notes how the competition has reacted to the Google TV announcement.]

[Also from Engadget, a really good overview - Google TV: Everything you wanted to know...]

[Seriously. Keep an eye on Adobe partnerships with cable co's...]

While the chorus of hand-picked pre-release iPad reviewers has pretty roundly declared it just as magical as Steve Jobs told us it would be, and how the interface sweetly beckons the user into it’s experience before gently disappearing to reveal some new oddly-posthuman machine love affair, not a whole lot is being said about what this device means to content publishers. The naysayers deride, among oh so many niggling things, it’s flat file system, lack of HDMI output, no USB, no Flash support, and virtual uselessness as an authoring platform but, clearly, that’s not what it’s really meant for. As many have noted, the iPad is a device designed primarily for consumption.

More specifically (and more importantly to the publishing & distribution biz), the iPad is a shiny, friendly, closed & gated, DRM’d device for finding, purchasing, and consuming new media, all managed by the secure & reliable iTunes Store. The user gets what is arguably a faster, more intuitive, and compelling experience that will probably have them throwing gobs of money at the next generation of digital media. Publishers get a delivery target that is a de facto store with all the innate moral understanding about payment and value and theft that comes with that context. And consumers get the ability to search, find, purchase, and consume media in one single, engaging mobile device.

In the iPad frontier, it’s explicitly OK for publishers to charge users for content. They have a whole new platform in which to innovate experiences that upsell users from the last generation’s content. You loved The Beatles remasters? Well now you can get The Beatles remasters with HD multimedia interactive album copy & studio videos for only $22.95 an album!

It’s no wonder that Disney, ABC, the Wall Street Journal, Netflix, Conde Nast, Harper Collins, Simon & Schuster, Penguin, Marvel, and many, many others have rushed to the new platform to plant their flags and set up shop. Marvel basically set up it’s own comic store on the device, as Netflix has done with video. The Wall Street Journal has the perfect premium gateway for their subscription model. News & magazine publishers barely breathing after the beating they’ve taken since the web forced them to give away all their content for free must be droooooling over the opportunity to create the next generation of news experiences in a gated platform. Likewise for the book publishers finally reaching the new frontier of interactive digital content more compelling than paper books now lining so many remainder shelves like dusty word bricks. And arguably, the planet may be at least partially relieved of some of the paper and ink waste bloating landfills (we’ll overlook the as-of-yet unresolved energetic/carbon burden of dematerializing into electronic containers…).

While many of us have been beckoning the new era of open content, the major media publishers have been begging for the lockdown offered by the iPad. To them, the device promises both a new platform for innovating compelling content, extending their business opportunities into the future landscape at a time when they’ve been so stuck in the past, and it offers the security of a trusted gate for managing purchases and IP protection. It’s more of a nightmare for a lot of people but for the majors it has to be a dream come true. I can only assume that Steve et al worked closely with these interests to make sure they help build an impressive content catalog and a massive hype machine to drive as many new buyers to the iPad as they can. Apple knows that it sells a lot more product when it has the major distributors on it’s side and, at this point, the Old Media houses are pretty much powerless in Steve’s patented Reality Distortion Field.

Questions remain, of course. They’ve already sold over a million units in pre-sale but will the price point hold enough momentum to herald the new age of digital content consumption? Fanboys and early adopters are not enough to sustain a publishing revolution. Apple will probably drop the entry level price in another year or so after it’s stacked up a solid catalog of content. Will the content be good enough to merit the costs? The Wall Street Journal thinks people will pay $17 a month for their service. I wonder if more news sites will follow the lead of the Wall Street Journal and start locking down their web content..? And how long until all the content houses push back and want to extend distribution to the next gen of iPad competitors? Well, it hasn’t been much of a problem for iTunes & the iPod so far. That ecosystem, with plenty of would-be competitors, has kept music publishers pretty happy in a time of otherwise dismal CD returns. Will Apple’s DRM solution be enough to stem the blood loss from file sharing? Face it kids, piracy is a problem for the industry. And face it, industry: your recycled, top-40, tent pole, hedge fund, bloated, over-managed content production models are done. Get used to the long tail of compelling new media niche content that costs half as much as it used to.

Whatever you think about Apple, however much you hate them for being so good at manipulating the public narrative in their favor, however much you detest-and-secretly-admire their obsessive design principles, their ability to dismiss seemingly obvious functionality, their iron-fisted distribution mamagement, and their cavalier “we don’t really worry about the business side” attitude towards their shareholders… Whatever. Apple has lined up pretty much the entire content industry, pointed them at a new playground, and guaranteed them a financial return on their efforts. Will it be enough to save their business in the face of the democratized world of free user content? The industry will abide and do it’s best to make compelling new content that’s only available on this very compelling new device.

[For a much more user-centered take, see Cory Doctorow's impassioned piece, Why I Won't Buy an iPad and Think You Shouldn't Either. Also see Joel Johnson's similarly impassioned counterpoint.]

[Andrew Keen summed it up nicely in this tweet: "my prediction: iPad will formalize chasm between Apple's high-end paid content model & Google's low-end free model. Adieu to mass media."]

[Quinn Norton discusses the Elephant in the room: the iPad is simply too expensive for most people.]

[Investor Howard Lindzon shows off the NASDAQ app w/ StockTwits support. Lovely UI!]

[Round-up of media brands currently on the iPad.]

The Virtual Autopsy Table from NorrköpingsVisualiseringscenter on Vimeo.

multi-touch the storm – interactive sound visuals – subcycle labs from christian bannister on Vimeo.

Christian Bannister, Subcycle Labs: “Things are starting to sound more song-like and I can really appreciate that. In previous builds everything sounded more like an experiment or a demo. Now I have something more akin to an experimental song. “

[Cross-posted from Signtific Lab.]

Researchers at VU University Medical Center in Amsterdam have applied the analytic methods of graph theory to analyze the neural networks of patients suffering from dementia. Their findings reveal that brain activity networks in dementia sufferers are much more randomized and disconnected than in typical brains. "The underlying idea is that cognitive dysfunction can be illustrated by, and perhaps even explained by, a disturbed functional organization of the whole brain network", said lead researcher Willem de Haan.

Of perhaps deeper significance, this work shows the application of network analysis algorithms to the understanding of neurophysiology and mind, suggesting a similarity in functioning between computational networks and neural networks. Indeed, the research highlights the increasing feedback between computational models and neural models. As we learn more about brain structure & functioning, these understandings translate into better computational models. As computation is increasingly able to model brain systems, we come to understand their physiology more completely. The two modalities are co-evolving.

The interdependence of the two fields has been most recently illustrated with the announcement of the Blue Brain Project which aims to simulate a human brain within 10 years. This ambitious project will inevitably drive advanced research & development in imaging technologies to reveal the structural complexities of the brain which will, in turn, yield roadmaps towards designing better computational structures. This convergence of computer science and neuroscience is laying the foundation for an integrative language of brain computer interface. As the two sciences get closer and closer to each other, they will inevitably interact more directly and powerfully, as each domain adds value to the other and the barriers to integration erode.

This feedback loop between computation and cognition is ultimately bringing the power of programming to our brains and bodies. The ability to create programmatic objects capable of executing tasks on our behalf has radically altered the way we extend our functionality by dematerializing technologies into more efficient, flexible, & powerful virtual domains. This shift  has brought an unprecedented ability to iterate information and construct hyper-technical objects. The sheer adaptive power of these technologies underwrites the imperative towards programming our bodies, enabling us to excercies unprecedented levels of control and augmnetation over our physical form, and further reveal the fabric of mind.

Check ‘em out if you’re interested in the fascinating & accelerating field of BCI. Also feel free to add your own Signals you see in the world or are engaging in your professional research.

Cheers!

Both IBM & SAP are moving quickly into 3 of the most powerful trends in computing, each of which are driven by the enormous amounts of data being captured across all domains: business intelligence & modeling, stream computing, and sustainable systems analysis.

IBM’s new initiative A Smarter Planet states succinctly, “the planet will be instrumented, interconnected, intelligent.” This is a powerful statement from one of the largest and most technologically advanced companies in the world. They’re not just talking about business. IBM CEO Sam Palmisano speaks to the really large-scale planetary challenges in creating smart infrastructures for energy, water, transport, and data.

A key component is the recently-announced System S project for supporting so-called Stream Computing.

System S is designed to perform real-time analytics using high-throughput data streams… to host applications that turn heterogeneous data streams into actionable intelligence… System S applications are able to take unstructured raw data and process it in real time.

“This is about what’s going to happen,” explains [director of high performance stream computing at IBM] Nagui Halim. “The thesis is that there are many signals that foreshadow what will occur if we have a system that is smart enough to pick them up and understand them. We tend to think it’s impossible to predict what’s going to happen; and in many cases it is. But in other cases there is a lot of antecedent information in the environment that strongly indicates what’s likely to be occurring in the future.”

With enough data you can start to create connections and patterns. With patterns you can derive meaning and ultimately be better enabled to make more accurate predictions. Since humans aren’t very well-adapted to processing large data sets, we build tools to handle the heavy lifting. Whether Wall Street indexes, ERP scenarios, government accounting, energy grid analysis, or dynamic climate models, serious hardware & software is required to process operational data into meaningful determinations and prescriptions.

SAP has introduced the Clear New World initiative built on their Business Objects service architecture. Again, the notion is that businesses, enterprises, and even governments can run more efficiently when there is a free-flow of data and a suite of integrated services to crunch and render the info into meaningful contexts.

It’s time to build greater visibility, transparency, and accountability into the way your organization works. Because being clear allows timely and relevant information to be available when and where it is needed. Clarity demonstrates that your company is willing and able to stay accountable to key stakeholders. Clarity helps call out inefficiencies, reveal your best customers, create credible sustainability, and give your business the flexibility needed to anticipate and respond to a complex, ever-changing, global environment.

[See James Governor's recent post for more on how SAP & IBM are tackling enterprise sustainability.]

Note the statements about accountability to stakeholders & creating credible sustainability. Clear data & clear reporting. Now consider the latest announcement about SAP for Public Sector “to support the management and reporting of economic stimulus funds”. As a plugin to their Business Objects suite, this utility drafts on the trends towards open accountability and government transparency, often termed Gov 2.0, to provide support for determining just how stimulus money is being spent.

Both IBM and SAP have the power to execute effectively on these strategies, though it remains to be seen how enterprise spending will move to implement these services or if the companies will offer flexible licensing to LLC’s working on the really challenging non-profit global issues. Likewise, SAP has suffered usability problems for years and their core object architecture is old and slow. They will need more than just branding and plugins to make a more transparent world.

Finally, it’s worth noting the branding for these projects. “A Smarter Planet” is a global posture indicating agency and identity on a planetary scale. This hints at the real deep trend across the human species towards a global sense of purpose and strategy. “Clear New World” acknowledges both the occlusions under which human endeavor has marched thus far and the great clarity of visibility we’re now gaining across all domains & enterprises, while admitting that indeed everything is changing and we are moving into a New World. The technology is stepping forward to help us more effectively manage the present and navigate into the unknown future. But of course like all foresight, it remains to be seen whether individuals will choose to act appropriately with the knowledge they come to possess…

Today we have tremendous amounts of data available about any system we wish to model. Drive platters are bulging into the terabytes just to store all of the information gathered by sensors, services, and empowered humans. Whether we study business networks, financial models, or natural systems, our awareness of their complexity has grown exponentially. Things are far wider and more interconnected than we could have imagined even 20 years ago.

All systems are sets of nodes with properties & variables that govern their behavior, coupled together by relational rules governing their interaction. The more complex a system, the more unique nodes and the more interconnections between nodes. Given the human constraint of being able to hold only 6 or 7 unique objects in mind at any given time it’s clear that we’re overwhelmed by even the relatively simple tasks of understanding, for example, a mid-size business structure enough to predict its future, especially when you consider the business system itself as a single node embedded in a much larger global socio-economic system. Imagine the difficulties climate modelers face trying to document global circulatory systems…

One emerging strategy for modeling complex systems looks to software and the floating-point wonders enabled by Moore’s Law. Computers are phenomenally capable of managing the inconceivable amounts of operations necessary to begin modeling dynamic systems. Yet, until very recently one needed to book time on a supercomputer cluster to run weather models or robust behavioral analysis. Even today’s bleeding hardware strains under the weight of such complexity. Research institutions have pursued natural systems modeling for some time and the business world has been paying attention. SAP now offers modeling capabilities with its business intelligence ERP solutions, enabling executives to run scenarios and envision possible outcomes of strategic decisions. Oracle recently acquired Hyperion, adding “performance management” to their suite of BI tools. You can bet these technologies will work their way into government & geopolitical protocols, as well as social & personal behavioral engineering as we increasingly track & model our lives.

Effectively, this pattern emulates the deeper shift from individual enterprise to collective collaborations. You can only model a complex system with another sufficiently complex system. However, even the most interesting algorithms are encumbered by the impositions of their logic: they can only be as creative as they were written. A second emerging strategy for modeling complex systems looks to deputize humans as processing nodes, crowdsourcing future possibilities across infinitely creative sets of minds. The Institute for the Future has taken this approach with its Signtific Lab and the Superstruct platform, leveraging the principles of gameplay to engage massive participation in envisioning scenarios.

The Superstruct games have drawn in thousands of players offering their thoughts & dreams of the future. Players become processing nodes for the chosen subject (eg. “when augmented reality is everywhere”, or “when personal satellites are as easy to deploy as websites”) iterating across large sets of potential outcomes. From these inputs, patterns emerge showing trends with greater frequency & momentum among the collective. Perhaps even more interesting – and where the Superstruct method is more flexible than computational modeling – are the outliers that emerge from players. Many of the most compelling signals of the future are those that completely break from current patterns. Indeed, one of the most fundamental prevailing shifts in the global paradigm is that change is accelerating in ways we cannot even imagine.

These two approaches both consider complex systems & scenario modeling from architectures that themselves are complex, object-oriented systems. The programmatic approach brings heavy-weight numeric bit-crunching to dynamic data streams, while the Superstructing approach offers wide-reaching creativity and human sensing. Augmenting one approach with the other will mark the next phase of predictive analysis necessary to safely navigate civilization through the future. Envisioning these scenarios and building compelling narratives around them will inevitably draw them into becoming.

Our lives are more & more complex and our enterprises & collaborations are commonly reaching global scales. The need to effectively model & predict is a fundamental human trait, reinforced in the face of escalating complexity in a hyper-connected, Read-Write world.

Some rough notes from the weekend on the Northern California coast… I’m trying to get at the core of my general orientation towards the world. It’s coming into focus at the nexus of evolutionary biology & technology. Or…

How does evolutionary biology express through culture & technology?

Requirements of human biosurvivial & social identity (compare to Maslow’s Hierarchy of Needs):

water, food shelter, fecundity, mortality, socialization, cognition, communication, migration, lineage, history, myth, aspiration, discovery, expression, emotion, time, transcendence.

Global comm networks are rapidly bringing the world closer and changing human cognition in ways we cannot yet fully see. What are the impacts and consequences of the emerging self-identification of the human species? How will we manage the human agency? Do we have a global strategy yet, or just a Balkanized polyculture of mostly-competing sub-identities? (Obv. the latter.) Compare to the Greek & Roman consciousness that embodied emotional states & psychological constructs in the mythic drama of deities & demigods. The western religious myth of Earth as resource and Earth as purgatory elevated us above the natural world. The planet is now urgently reminding us that we are within the natural world – a subset embedded in a much larger and ultimately self-interested system.

The assertion of the natural world compels us towards alignment with biomimetic solutions & protocols. Or towards oblivion as we are corrected by the planetary system. We cannot destroy the world before it limits our ability to do it damage. The compulsion towards environmental protection is a species-wide awareness rising from our very cells and fueled by our growing awareness of our impact on the planetary ecology. Adapt or perish.

Socio-economic & ecological adaptation is not on a uniform schedule. Diverse states & peoples have their own schedules to work out as they march up the pyramid of civilization. Does this demand caretakers & parent states? Globalization is a normalizing force, but inequities between self-appointed parents and emerging economies will grow, as will the ability of smaller networks to inflict their will on states, NGO’s, & global systems. This democratization of technological empowerment is yet another major current working through our species. We’re getting stronger yet the morality(?) & responsibility expected to wield this power is not uniform across cultures & peoples. Core biosurvival needs remain the primary driver, exposed to shifting climates and diminishing conventional energy sources. There will be (more) blood.

The race is whether the technologies of liberation & salvation will outpace the technologies of destruction & exploitation. Of course, the real technology underneath both is the human brain – a much more subtle & powerful tool, highly malleable but stubbornly resistant to overt change.