technology

A big part of the success of a KM solution / program is providing intelligent access to large body of content. A big part of providing access to that content can be a search solution.

This tchat will explore and discuss the overall importance KMers give to search and how it fits into their overall KM solution. 

• Who is the business owner of your search solution?
• How do you see search fitting into your KM solution?
• What is the balance you see between the various components of your efforts (connecting people, collecting content, making content available via navigation or search, etc.)?
• Do you have any particular challenges with your search solution you might share?
• Do you have some interesting and potentially unique aspects of your search solution that you can share?

This twitter chat is inspired on the Wizard of Oz! The dicsussion questions are oriented around 3 of the characters; Tin Man (heart) , Scarecrow (brain), and Lion (courage):

- Heart: The importance of culture (relative to KM)
- Mind: The role of technology (in enabling KM)
- Courage: The effect of leadership (in supporting KM)

I'm doing a keynote to 600 law librarians in the summer, and for many of them, I suspect their experience of KM will be the "straight and narrow" information-centric route. I've promised to take them "off road" to explore some other parts of the KM landscape. I'd love to involve you in helping me figure out some of the features I should show them during this #KMers twitter chat.

The highway.
What KM tools and techniques would we describe as completely middle-of-the-road and "a given" in most organisations? [e.g. SharePoint, Communities of Practice, basic internal Collaboration]

The winding country roads.
Which approaches have you found which have been unexpected, a little off the beaten track, but fairly easy to take people to if they're starting with "regular KM"? [e.g. Storytelling, Externally-focussed communities, Yammer]

The spectacular views.
What about the more surprising techniques that are well off-the beaten-track for many people, but well worth the effort to get there? [e.g. Visualisation, Narrative Sensemaking, Gaming?]

The parallel routes.
What are the canals and railways which are going in the same direction as the KM road -alternative routes if we get a flat tyre... [e.g. Continuous Improvement, Internal Benchmarking, Business Excellence...]

The swamps , quicksand and dead-ends.
Which approaches have you seen which have turned out to be a drain on resources, sucking in effort and money with insufficient return. The things you wished you'd never gotten into... [e.g. Knowledge Audits? Massive multi-level taxonomy projects??]

Google Wave is an online software application product of Google, described as a personal communication and collaboration tool. It is a web-based service, computing platform, and communications protocol designed to merge e-mail, instant messaging, wikis, and social networking. It has a strong collaborative and real-time focus supported by extensions that can provide, for example, spelling/grammar checking, automated translation among 40 languages, and numerous other extensions. It is still in preview mode, thus not yet officially released.

When Google Wave was introduced it created a wave of enthusiasm all around the world, including from knowledge managers. At the moment, some people still underline its unique opportunities for collaboration, others were dissapointed by the buggy experience of the new platform, they could not see the practical use, or felt all alone because their colleagues weren't on it.

During this chat we will look at experiences people had with Google Wave, explore opportunities and threats, and share tips and tricks.

• Are you using Google Wave?
• What can Google Wave mean for KM?
• What are/could be succesfactors making Google Wave collaboration succesful?
• What Google Wave robots/extensions are particularly useful in a KM context? And how can they be used?

17:00 UTC = 12pm ET same day

Predictions are hard for any one person to make. The essence of stock markets is that many different decision makers all making bets on their own predictions leads to a consensus of where corporate performance is heading.

The same sort of crowd decision making can be used for anything. If you are interested in this topic, but not familiar with Prediction Markets, there is a lot of interesting research and interesting tools available.

This chat will be a little less formal than a prediction market. We will see what our small sample size of people thinks is going to happen in 2010 and we will hash it out to see if we can get some interesting learning out of it.

10 min. Welcome and KM New Year Resolutions
15 min. What (changes) do you predict around KM strategies in 2010?
15 min. What (changes) do you predict around KM technologies in 2010?
15 min. What (changes) do you predict for the role of knowledge managers in 2010?
5 min.   What topics would you like to discuss in future chats on KMers.org in 2010?