Oct
1
Who Wants To Be a Millionaire?
Filed Under B2B, Big Data, Blog, eBook, Financial services, Industry Analysis, internet, online advertising, Publishing, Search, semantic web, Uncategorized, Workflow | 1 Comment
As I read the headline my head filled with Frank Sinatra and Celeste Holm.”Who wants to ride behind a libre chevaux / Do I want? No, sir”. But the headline covered a story that every attendee at last week’s PPA (Periodical Publishers Association) Business Media Digital Publishing Conference in London should have been forced to read and repeat before taking a seat. It would have been the antidote to the head-nodding, comfort rag clutching, industry-at-prayer stuff that went on at the beginning. With an agenda stuffed with new business models, change agents, catalytic and galvanizing case studies, we had to approach the subject of digital publishing by bleating, in chorus, that we were safe from “migration” and its perils if we had “really good content” and that nothing bad would happen to us if this really good content was what our clients really, really wanted. And to this I can only say, in my normal and mild-mannered way: “Rubbish”!
So lets take a deep breath and go back a step. The article on earning a million was sent to me by my daughter as a follow-up to both of us quoting the performance of the web service www.teacherspayteachers.com. Here US teachers deposit their learning plans and receive royalties on their re-use. Deanna Jump, a kindergarten teacher from Georgia, has become the first teacher to earn a million dollars in royalties. The site has had 50 million page views in the last 30 days and teachers post over 800 resources a day. The site has a rival (not mentioned in the article) in the shape of the UK periodical Times Educational Supplement, which has adopted this business model and teamed up with the leading US teachers union in a jv, while exploiting a global market from London. As advertising retreats the TES has executed a wonderful transition: not migrating so much as re-inventing itself in close alignment to what its readers needed to be better teachers. Indeed, in some ways this is re-inventing the textbook as much as the magazine, but whatever it is the outcome is the same: understanding how users work and supplying (in this case user-generated) content in the right context and with the right interface is the new publishing.
So what got my goat? That morning I had flown in from a wonderful cultural and artistic exploration of Georgia and Armenia, landed at dawn and rushed straight to the conference centre to chair my session. Slightly light-headed with the joy of thinking about new things for a couple of weeks, and happy at being on time, I settled into my seat to listen to Duncan Painter, CEO at Top Right (aka EMAP), being interviewed. I have always understood him to be a shrewd and intelligent man, and if I was a critic of dividing EMAP horizontally into three so that events and publishing could be sold, that was purely because I thought that GMG and Apax could make more by selling the verticals. Here he skirted the fact that two thirds of the outfit was for sale, praised his publishers (no doubt deservedly), and launched into the old “as long as we have our great content we are safe” nostalgia of the last century.
Duncan gave a view of publishing that would have been a safe compliment to his hosts around 1991. Everything will be OK if you have quality content because people will always want that. For a dreadful moment I thought he would say “content is king” but he checked himself. Now I know that he was once at Experian, a superbly successful company who add value to what is becoming increasingly commoditized content – company information. So much so that a later speaker, Damian Kimmelman, at Duedil (the PPA’s Newcomer company of the year from the previous night’s awards ceremony!) values it so highly that he gives it away. He then adds value with his data connections, his contextualization of third party content – and will no doubt do so more effectively as semantic search intensifies the re-exploitation of this material in new contexts and through new connections.
Duncan’s theme was echoed in the next session by Rupert Turnbull, the Publisher at Wired UK. Again we had the classic Publisher stance – the world will beat a path to your door if the content is good enough. Ironically, here he fingers a critical problem of our times. “Good Enough” content very often supplants “the best”. The story of Google could be written in these terms. In Q&A I protested: I use Wired not because of its articles but because I can flick through and find new leads, using it like a check list of change and noting what trends are now seen as popular enough to get this sort of treatment. Do I value it as content? Not really: like the Economist and the Tatler it is consumer publishing created to support high price display advertising by parading what a certain social grouping all think they should know.
Then Chris Flook of ICIS spoke, quietly but to great effect, and I was at once back in the world of real understanding of how users behave and how solutions can be grafted together for them. In my own session Hilary Lambert of Thomson Reuters spoke convincingly about how you re-framed access for lawyers on mobile, and Sean Howe of IHS Janes pointed to a revolution in visualization – effectively summarizing and linking this content in a way that presented it more effectively within the user requirement. Greg Kilminster of Gambling Compliance demonstrated that the compliance environment wraps around gaming as effectively as financial services, and Jonathan Morris, fresh from the triumphs of DataExplorers, launched into a whole spate of interesting start-ups that I shall come to anon. In short, this was a really interesting conference, with some fine speakers and some really fresh ideas about business models and about understanding customers. It was summed up for me by Jan Reichelt, co-founder of Mendeley, who has built a brilliant business by helping scientists understand the content they have already, and learn what they need by understanding how their peers behave. In other words, his content is content about the performance of users in the science labs of the world – content created by the network which may be more valuable than the underlying content itself.
Once upon a time content in this industry was the reworked press releases that kept the advertising apart on the printed page. It was never valuable and it isn’t now. What is valuable is a deep understanding of what users need in order to better accomplish their work – and a determination to build technology and content into contexts that make improvements that people will pay for and where they will deposit their own content as well. So please, organizers, can we at last stop beginning conferences with the Hymn to Content? And ban the word “migration” Re-invention is what we need!
Sep
11
Diamond in the Rough
Filed Under B2B, Big Data, Blog, Education, eLearning, Financial services, healthcare, Industry Analysis, internet, Pearson, Publishing, Search, semantic web, STM, Uncategorized, Workflow | Leave a Comment
“Well”, said my questionner, “all this stuff about workflow is just fine, but what we really need to know now is where this goes next. So lets just imagine that we integrate all the data into all the systems, and everyone on every screen has all they need to be more productive, make better and more cost-effective decisions and to be wholly compliant with all relevant regulation and best practice. What happens next?” There is, I have come to know, a certain class of manager (possibly deprived of breast feeding at too young an age), whose cruel sport is seeking to confound itinerant consultants with all this “next” guff. Hopefully, I had been thinking, workflow and the semantic web would see me out. But you have to answer the question, so I looked at the ceiling in what I hoped was an image of wisdom and muttered something about intelligent systems. And I ignored him when he challenged me to show him one.
But it was a bit worrying. I guess the answer is that far more of the tasks over which we slave will become subject to machine to machine communication and an increasing range of Artificial Intelligence (AI) applications. I remember when AI was seen as the “always there, never delivers” technology (just like GIS in the 1980-1990s). Yet GIS in the broadest sense gave us spatial location and even SatNav. AI is yet to hit the point of large scale integration with what we do with content and data in solutions, systems and services. And I was worrying about how little I knew in this area when I bumped into Sir Isaac Newton’s dog, Diamond.
I bumped into him in a March 2012 paper published by Dr Glenda Eoyang, Executive Director of the Human Systems Dynamics Institute (www.hsdinstitute.org). She is an expert in adaptive systems, and having pointed out how comparatively easy it is to learn and assess learning of something like Sir Isaac’s equations, she then turned to his dog. Here was a learning problem of a different type, as your experiences of the dog altered your learning perspectives and your learning had to become “adaptive”:
“On the other hand, when you learn Newton’s dog, the expectation is that you develop the ability to 1) recognize Diamond; 2) interact with him; and 3) get better at recognizing and interacting with him over time. The assumption is that teachers, too, recognize and interact with Diamond, and that their performance continually improves through a process of life-long learning. The purpose of learning the dog is adaptation. The measure of success is adaptive capacity. The best pedagogy is adaptation, and adaptive action is also the best way to assess performance. Learning Newton’s dog is about engaging with an ever-changing environment in ways that are creative, courageous, sustainable, and sensitive. When the goal of education is to prepare the younger generation for a complex and emergent and unpredictable future, we must teach them Newton’s dog.”
Quite so. And here, clever questionner, is part of your answer. The next leap forward looks like it will be in education, as we begin to tackle personalised learning en masse. And that takes me back to Knewton Technologies (www.knewton.com), whose deal with Pearson last November will lead to some 10 million users of MyLab/Mastering (mostly US college students) having coursework which adapts to their pace and their needs. So they get a test, and the machine does them some diagnostics and sets them off on a new route (or rote)? No, the system is continuously adaptive, it tracks everything they read and write, and it continually adjusts and resets, not just for strengths and weaknesses, but for each individual’s unique learning style. No less a learner than Bill Gates has praised the two first year college maths courses launched last year at the Arizona State University, and Pearson and Founders Fund led the new investment round which raised $33 m in the fall of 2011 for Jose Ferreira’s brilliant start-up.
It is unlikely of course that Knewton will be the only answer. One man’s proprietory algorthym is another man’s challenge, as we have learnt many times in the last 22 years. But what interests me at the moment is that our first approaches to mass customization and personlization in depth should be in education. In education we know for sure that even if we try to teach a class of 30 from the front, a certain percentage will be bored because progress is too slow, and a larger group will be bored because they lost the thread. For a handful the teacher will hit the mark. So we continually, and rightly, stress that learners should learn for themselves and collaboratively with other learners, and the teachers’ role is to moderate, not drive, the process.
And yet, customization does not yet get a look in elsewhere. We try to build workflow as if every company was the same just because it has the same end objectives in terms of revenues or margins. Yet cultures and the ability to improve performance are idiosyncratic and often unique. But we want to sell a “productized” service, not a solution per client, and it may be that the technology of the classroom is in fact taking us towards supplying individual needs without re-assembling the coding. Maybe, indeed, adaptability becomes the new service offering, down the road that takes us ever closer to AI – penetrated services.
Thats All, Folks! There now follows a short intermission before I return in October.
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