This session explores the impact of virtual worlds on revolutionizing market approaches. “Metaverses”, like Second Life, add a rich social dimension to online interaction, while raising the bar on automated interactivity, rich-media delivery, customer relationship management and market metrics. Recent global research evaluating more than 100 plus Second Life experiences from leading Fortune 500 brands such as ABN Ambro, Cisco, Dell, IBM, Microsoft, Pontiac, Telstra, Wells Fargo, etc., is highlighted in terms of the new enterprise and the future impact on business models. Good, bad, and ugly experiences are profiled to create a best practice baseline for metaverse investment. Attendees can meet for continued conversations about the insights and ideas from the session.

What do a nonprofit, a global pharmaceutical company, an enterprise software company, a global power company, a financial institution, and a law enforcement agency have in common? They all knocked the KM 2.0 ball out of the park. Using case studies and screen shots from these organizations, Frank shows real enterprises with real results. He highlights their best practices and key success factors ranging from content organization to training and political factors and provides a road map to enterprise KM success.

While the benefits of Web 2.0 social software for greater collaboration, innovation, and knowledge sharing are often discussed, the coordination and interaction costs that occur in social systems are often overlooked. Based on extensive studies of social systems such as del.icio.us and Wikipedia, our speaker has identified a number of factors that need to be managed to realize the full benefits of these systems within the enterprise. For example, some companies are using social tagging systems as a lightweight form of knowledge sharing. Social tagging allows tag structures to emerge naturally instead of requiring users to conform to a rigid taxonomy, but the resulting tag spaces are often very noisy, due to synonyms, misspellings, and morphologies. Chi discovered that the cost to find information in a social tagging system increases as the size of the collection and number of users increase. He discusses PARC’s solution of identifying related tags in the space using semantic analysis and normalizing the tags across the documents in the collection to reduce noise. He shares the results of their research, implementation challenges of the prototype social bookmarking system and search engine, and more.

This session looks at combining the semantic and social Web to bring Web 3.0 to the Enterprise. It discusses relational navigation which identifies relationships dynamically and pivots around the information, maintaining context, and allowing participation in the process. It shares real-world implementations from organizations such as NASA JPL, LII, and Oracle, and illustrates how their discovery was improved by retrieving more relevant results.

A revolution in the way the world communicates is underway. Making sure that your organization’s culture, processes, and technologies can keep up is critical. Web 2.0 technologies allow information to be gathered, analyzed, shared, and reshared in new and amazing ways, but only if your organization is ready to participate. Speakers discuss the evolution and direction of collaboration technology changes, address the impact on culture and communication both behind and across the firewall, and highlight what successful companies are doing to exploit this revolution. They outline how to assess your organization’s readiness to adopt Web 2.0 tools and provide tips on using incentives and rating systems to inspire internal and external collaboration and knowledge sharing. They also share insights on integrating Web 2.0 with other legacy systems and data repositories to leverage knowledge assets now and prepare for the next wave of collaboration technologies (such as The Semantic Web) currently under development.

Automating the assembly and distribution of important company, product, industry, and competitive information throughout the enterprise is revolutionized with RSS. Hear how Biogen Idec, a Fortune 1000 company with market-leading drugs for treating a number of illnesses, has used RSS to get high-value business information into the hands of sales reps. In tracking and understanding issues of concern to clients and anticipating clients’ needs in specific industry sectors, E&Y is leveraging sophisticated text-mining and visualization tools to uncover and communicate industry trends. Hear how the CBK played a key role in the release of Factiva’s Insight tool by including dashboards in portals devoted to communities of practice so that knowledge managers can design charts that quickly convey the most relevant information so that practitioners can easily see changes or relationships.

The acceleration of Web 2.0 offers many new technologies that, on the face of it, offer the potential to revolutionize organizational knowledge management. In practice, however, their impact within organizations to date has been far less significant than their impact on the Web. From a practitioner’s perspective, this presentation reviews Web 2.0 technologies in terms of their potential for organizational KM and explores the drivers and barriers to their adoption within the enterprise. Sheehan provides examples of adoption both from within Arup and other knowledge enterprises around the world.

The innovation process starts with the customer and the identification of unmet needs. It consists of three stages: the collection, filtering/assessing, and commercialization of ideas. Knowledge drives the first, idea collection stage. Most of the books written on business innovation in recent years have dealt at length with surfacing and harvesting ideas: for instance, assessing how the company differentiates itself from competitors, tapping the “wisdom of crowds” (ideas from employees and customers), conducting idea markets and other ‘open space’ forums to assess urgent needs and possible approaches to them, the use of customer anthropology to observe unarticulated customer needs, conducting “thinking the customer ahead” sessions to assess future customer needs that are just beginning to be recognized, “seeing what’s next” sessions and continuous environmental scans that identify trends, weak signals and developments that present opportunities to innovators and threats to noninnovators. These are all knowledge activities, requiring exemplary research, networking, analytical, filtering, and sense-making skills. Pollard explains, using a real-life case study, how knowledge management can contribute to creating profoundly innovative organizations.

This session provides deep insights into Enterprise 2.0, including specifically how valuable outcomes are created inside the enterprise from social media and other existing and new KM tools, and how this can best be supported. The framework provides practical insights for organizations wishing to implement social media and Enterprise 2.0 tools, and develop strategies for making these initiatives more valuable.

Information management across a global enterprise must account for diverse perspectives, or risk failure. The challenges imposed by language and culture are pervasive, and innovative approaches are required to design, develop, and maintain systems. Gerber draws from practical experience on multiple internationalization projects to clearly illustrate the process and pitfalls inherent in developing for multiple cultures and languages. Smith discusses a recent implementation of a KM program to support KEMA's objective to leverage scale, expertise, and assets across one global services firm for the energy industry, specifically the combination of two distinct yet similar cultures, Dutch and American, which caused interesting modifications to the strategy and implementation. Join our speakers for practical insights, strategies, and lessons learned which are critical to the success of any internationalization project.

This session takes a look at what enterprises are doing with Second Life. It provides a short tour, lots of business examples, and some thoughts for use in the future.

Dembinsky talks about the use of Web 2.0 tools (wikis, blogs, YouTube, Flickr, etc.) within enterprises, looks at how their usage is very limited, and discusses their applicability within the firewall. Based on his experience, he explains why in the next few years he believes that out of all Web 2.0 tools, wikis will become one of the main KM tools within enterprises. In analyzing the value of wikis, people traditionally focus on the fact that readers can add or update the content. He points out two more important wiki benefits: the availability of all relevant content in one place for our topics of interest, and the ability to navigate associatively between related concepts. He illustrates with real-life case studies in various organizations and shares his view of the future development and directions of wikis and similar tools within the firewall.

Implementing enterprise search is a challenge with security issues, bad data, and dealing with knowledge connections that come from work in progress. Alliston discusses two alternatives considered when implementing enterprise search to deal with work in progress in a law firm.

Get a glimpse of how today’s decision makers make use of real-time market intelligence from the Web to make intra day and strategic decisions. Our speaker uses real world examples to illustrate the latest trends in market intelligence.

This session discusses what social search is, why organizations would want to use it, and how it can be used to improve on-site search, support and knowledge management. Lots of great examples and tips.

Enabling accurate identification and scoring of financial transactions and news with immediate risks and future implications is an important step in planning and decision-making. By capturing their domain expertise in ontology-based models, this case study illustrates codifying into software the knowledge that will implement their critical, decision-making processes. Semantic models allow components to perform highly-targeted classification and correlation, while eliminating the noise found in structured and unstructured data sources.