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Tuesday, January 26, 2010
SIIA Information Industry Summit 2010: Elsevier's Hansen Lays Out How to Take On Risks in SciTech Markets
Elsevier Health Sciences CEO Michael Hansen laid out an argument for major enterprise publishers surviving and thriving in tough economic times by starting with a parable about Elsevier's roots as the publisher that helped Galileo to get his then-controversial scientific works in print. At a time when many of the status quo gatekeepers were dead set against Galileo's theories, a publisher helped to change the world as we know it today. Flash forward to today, in a world in which people are often paralyzed by the pace of change in scientific publishing and trying to understand where to bring their organizations to deliver both profits and growing markets. For Hansen, this means in the short term helping clients to cut costs by consolidating services through Elsevier's content integration capabilities, as well as being more bold in delivering services to clinical settings.

The clinical opportunity is particularly important, given the inefficiencies that exist in the delivery of medical services and the limited resources that the typical patient has at their disposal. Hansen highlighted that the typical doctor in the U.S. has about six minutes of contact with a patient in a typical visit - an almost real-time window in which to make decisions about health care. No small surprise, then, that Hansen underscored the fact that only about 30 percent of people in the U.S. are actually getting proscribed treatments for their medical problems. This means, of course, that you're dealing with a type of content user that has not been the target of Elsevier services typically, one that has risks that your typical publisher's legal department will be wary to take on. As a questioner noted after Hansen's speech, there is also the question of who will be willing to pay for clinically-oriented services. But when you think of the number of questions that need to be answered on a given day, there are more potential points of interaction in clinical settings than typical research environments overall.

Hansen noted that the sales force incentives at Elsevier has been tuned to meet with some of this shift, but it's also a major shift to get products and strategy in line with what is in essence a real-time content integration strategy. For example, Elsevier has launched PageBurst, a platform that helps nurses and others in clinical settings to get access to critical medical information, a platform that Elsevier uses for their own content but is open to all kinds of content, including content from competitors. This underscores an emerging theme in enterprise content of many sectors embracing the content integration strategies that Wall Street publishers embraced decades ago to fight the commoditization of their content. It's a strategy that's not without its risks and revenue exposures, but necessary if scientific publishers are to improve their long-term outlook. Thanks to Michael for a great kickoff talk, getting to the heart of what major enterprise publishers must embrace to succeed in a time when "heresies" in STM publishing are becoming the new order of things quite rapidly.

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Tuesday, January 27, 2009
SIIA Information Industry Summit 2009: Frictionless Information - Adding Value in the Age of Google
Kristian J. Hammond, Co-Director, Intelligent Information Laboratory, Department of Computer Science, Northwestern University

You have incredibly valuable content but nobody can tell the difference between it and something that someone has hacked up and thrown on the Internet. People get what they can from it and go away, driving up the bounce rate. Why should anyone in the world get it for money? People can wait it out, and it will be free. NYT will say, "Just take it, at least show up some time."

People think that they can defeat Google on its own turf with search. Like a new soda trying to go head-to-head with Coca-Cola. Unless there is a serious cultural change, the last battle that you fought is going to be fought over and over again. There's an arms race going on, someone out there is trying to bust into your information. We'll crawl the Web and have a parallel information repository to make "one-stop" shopping for our vertical. Nice idea, but still head-to-head with Google. Or, make a deal with Google, but that's just getting your information out more efficiently, doesn't address monetization.

"We suggest leapfrogging the problems altogether..." In cellular telephony, adoption in developing nations surged where land lines were mediocre at best. Leapfrogged rather than trying to make technology work in old environments. We work on frictionless information systems, or intelligent information systems. "Whatever you're thinking, we'll get to your heart's desire." We want to get rid of the search box, so that you don't interact with it directly. Need information systems that are aware of the context of your behavior. Knowing your customer at this second and using it as a driver of information. We're a lab, we don't care where information comes from.

Examples: the desktop relevance engine and "beyond broadcast," for online video, and "make my page," for machine-generated content. Pulls information on the Web based on the document being read (COMMENT: not really so different from "more like this" feature or training data for semantic searches). Really on-point, finds docs first on own Web site, then other sites. Also pulls up discussions, experts, methods, learning, Web and desktop collections. (COMMENT: good idea. Not done often enough). Integrated with desktop activity (COMMENT: like Watson, kind of), can pull from any searchable source. Kind of like doing enterprise portal services for the world).

Then looked at server-side versions of this. Chicago Sun-Times example, other blogs, videos, Web, other S-T news, S-T blogs (COMMENT: This is a lot like Sphere in a sense, all fine and good, but Sphere is not really helping publishers to generate engagement or revenues to any significant degree). In video, main context is watching television. Build a small piece of code for TiVo box, "beyond broadcast," watches television with you, notices what channel you're on, look at closed caption text, feed that information to server, hijack a TiVo remote button, would build a microsite based on the content and the context. Different for cooking show, how-to show, dramas, etc. (COMMENT: This has strong potential as a concept, contextual content and ads for television). Were elated with this, people will come to us, but then YouTube happened and convergence happened anyway without television. Took same system, moved it online. Works pretty much the same, change banner ads based on what' being discussed in the video.

Looked at a few examples, "good eats" on the Food Network, links to Wikipedia entry on corn dogs. Look at other version of recipes, etc. (COMMENT: Again, not much new on one level, but doing it in real-time is a fantastic tool, equivalent to AdWords on Google search). Give them everything that they might be interested in (COMMENT: But do publishers really want more distractions from their content? I agree with the "real-time portal" based on content of interest, but again, Sphere experience raises questions).

"Make my page" function, pulls together new document, primarily links to other document, open to social media editing. Highly relevant, will percolate up to the top and stay there. (COMMENT: Now, that works better. Make the associations of content more enduring, even when they are assembled in real-time. If the aggregation works for one person, it may work for others, and it will be improved for others. Similar to my old concept of distributable objects that grow in value as they are passed from person to person contextually). "We will get you to your heart's desire."

Great stuff, I like the idea of the persistent contextual objects that grow over time, that's the real winning ingredient. Many of the other ideas have been done before, but if you can create content that becomes more popular over time automatically as it expands and transforms over time through contextual use, it will be self-optimizing for engagement.

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