Tag Archives: CEO

Content Choreography?

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Is getting the right content to the right users and customers a priority for you and your organisation? Do you drown in too much information? With some insight into how to manage content your answer is probably “Yes!”.

Today we have loads of channels to choose from, e-mails, internet/intranets, Yammer feeds, blogs and different collaboration platforms and social media services. Some content is more beneficial in one channel and other content in another channel. But how do you make sure the right information reaches the right users, in the right channels?

Content Choreography aims to handle all that; Content, strategy, format and delivery.

We need to tailor the user/customer experience in order to achieve good Findability. How? Taxonomy, Metadata and Search!
Taxonomy to ensure that we speak the same language, metadata to classify the content to fulfill a certain task or objective and search to deliver it to the right channel.

Need more information about Content Choreography?
Join us in our joint seminar with KnowIT, Nov 22nd: Future Choreography of Content Management, where Seth Earley – CEO at Early Associates will speak about Content Choreography – The Art of Dynamic Web Content. Seth Earley have more than 20 years experience in the field and is a very eloquent and interesting speaker. He will share his thoughts and ideas gathered from a number of large customers worldwide.

More information and registration can be found here.

Google Instant – Can a Search Engine Predict What We Want?

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On September 8th Google released a new feature for their search engine: Google instant.
If you haven’t seen it yet, there is an introduction on Youtube that is worth spending 1:41 minutes on.

Simply put, Google instant is a new way of displaying results and helping users find information faster. As you type, results will be presented in the background. In most cases it is enough to write two or three characters and the results you expect are already right in front of you.

Google instant

The Swedish site Prisjakt has been using this for years, helping the users to get a better precision in their searches.

At Google you have previously been guided by “query suggestion” i.e. you got suggestions of what others have searched for before – a function also used by other search engines such as Bing (called Type Ahead). Google instant is taking it one step further.

When looking at what the blog community has to say about the new feature it seems to split the users in two groups; you either hate it or love it.

So, what are the consequences? From an end-user perspective we will most likely stop typing if something interesting appears that draws our attention. The result?
The search results shown at the very top will generate more traffic , it will be more personalized over time and we will most probably be better at phrasing our queries better.

From an advertising perspective, this will most likely affect the way people work with search engine optimization. Some experts, like Steve Rubel, claims Google instant will make SEO irrelevant, wheas others, like Matt Cutts think it will change people behavior in a positive way over time  and explains why.

What Google is doing is something that they constantly do: change the way we consume information. So what is the next step?

CNN summarizes what the Eric Schmidt, the CEO of Google says:

“The next step of search is doing this automatically. When I walk down the street, I want my smartphone to be doing searches constantly: ‘Did you know … ?’ ‘Did you know … ?’ ‘Did you know … ?’ ‘Did you know … ?’ ”

Schmidt said at the IFA consumer electronics event in Berlin, Germany, this week.

“This notion of autonomous search — to tell me things I didn’t know but am probably interested in — is the next great stage, in my view, of search.”

Do you agree? Can we predict what the users want from search? Is this the sort of functionality that we want to use on the web and behind the firewall?

SPC09 Day 1 (Las Vegas) – A New Choice in Enterprise Search

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Today the initial key notes and session on the Microsoft SharePoint Conference 2009 has begun here in Las Vegas. The conference is fully booked with over 7400 registered attendees and is hosted at the Mandala Bay Hotel. There are over 240 different sessions covering everything within the new version of SharePoint 2010. SharePoint 2010 is schedules to be released during the first half of next year however a public beta will be available now in November. I will try to cover the Enterprise Search perspective of this conference and summarize new features and functions in this blog.

The conference was started up through two key notes held by among others Steve Ballmer (CEO of Microsoft) and Jeff Teper (VP). They introduces new features in SharePoint 2010 on all levels from both really deep technical to end user perspective. Showing a lot of new cool features, where one feature was especially sticking out and that was Search. They all pointed out over and over again the importance of search as the core functionality of everything.

Enterprise Search

My first sessions during this conference was on Enterprise Search and the overview of this. A lot of new concepts and functions are introduced. I will try here to summarize some of the new functions in a list.

Sharepoint 2010 and Search Server 2010 (Not all is supported in Search Server)

  • Wildcard search support
  • Phonetic Spelling on person name searches
  • Partitioned index/query (for scaling purposes)
  • Support for up to 100 Million documents
  • Zero query search – Used for using search as navigation
  • Query Suggestion
  • Refinement from meta data (Shallow navigators)
  • Related Searches
  • Federate Searches with Desktop
  • Rating/Language used for relevance tuning
  • View related content in people search
  • Multiple crawler

FAST Search for SharePoint

  • All above from SharePoint searches (some times they are even supposed to work together like people search is still done through SharePoint search)
  • Visual preview and thumbnails
  • Same APIs as SharePoint
  • All administration is done through SharePoint administration
  • Similar results
  • Deep refinement navigators
  • Entity extraction
  • Visual Best bet
  • Contextual Search
  • No index profile any more. Everything is set through SharePoint administration even Navigators and meta data mappings.
  • Can use BCS for connecting to other systems
  • User context searching. Promote/denote documents and changing relevance after users context
  • New search interface

That was a summary of the new features that is to come. I will come back every day to post updates and more detailed information about these features. To finish of I want to quote Microsoft: This is a quantum leap in Enterprise Search.

Find People with Spock

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Today, Google is the main source for finding information on the web, regardless of the kind of information you’re looking for. Let it be company information, diseases, or to find people – Google is used for finding everything. While Google is doing a great job in finding relevant information, it can be good to explore alternatives that are concentrated upon a more specific target.

In the previous post, Karl blogged about alternatives to Google that provides a different user interface. Earlier, Caroline has enlightened us about search engines that leads to new ways on how to use search. Today I am going to continue on these tracks and tell you a bit about a new challenger, Spock, and my first impressions of using it.

Spock, relased last week in beta version, is a search engine for finding people. Interest in finding people, both celebreties and ordinary people has risen the past years; just look at the popularity of social networking sites such as LinkedIn and Facebook. By using a search engine dedicated to finding people, you get more relevancy in the hits and more information in each hit. Spock crawls the above mentioned sites, as well as a bunch of others to gather the information about people you want to find.

When you begin to use Spock, you instantly see the difference in search results compared to Google. Searching for “Java developer Seattle” in Spock returns a huge list of Java developers positioned in Seattle. With Google, you get a bunch of hiring applications. Searching for a famous person like Steve Jobs with Google, you find yourself with thousands of pages about the CEO of Apple. Using Spock, you will learn that there are a lot of other people around the world also named Steve Jobs. With each hit, you find more information such as pictures, related people, links to pages that the person is mentioned on, etc.

In true Web 2.0 fashion, Spock uses tags to place people into categories. By exploring these tags, you will find even more people that might be of interest. Users can even register on Spock to add and edit tags and information about people.

Over all, Spock seems like a great search engine to me. The fact that users can contribute to the content, a fact that has made Wikipedia to what it is today, combined with good relevancy and a clean interface it has a promising future. It also shows how it is possible to compete with Google and the other giants at the search market by focusing on a specific target and deliver an excellent search experience in that particular area.