- KM is not software you install (though vendors think it is); its a process that doesnt begin with IT and doesnt end with it. Remember that IT is merely plumbing.
- Get users involved from Day One. A KM system is useless if employees dont contribute.
- Isolate who knows what in an organization by systematically interviewing knowledge workers.
- Divide and conquer: Associate KM with a specific business practice and grow it from there. Dont go for an all-encompassing solution–these look good only on paper.
- Tighten up security and educate users on safety issues. A KM system in the hands of the wrong person can be extremely dangerous, not only because of the threat of data theft but also because of potential data corruption.
- Devise a system that extracts and packages knowledge from the forms in which its actually used, rather than one that requires separate creation and maintenance of a dedicated parallel knowledge base. The latter makes for a quicker pilot project, but it will rarely be maintained once the novelty wears off.
- Consider but dont rely on, third-party benchmarking solutions, such as PIMS (www.bintranets.com).
- Continually solicit feedback to improve the system over time.
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Link to The Real AI Power Play: Who Controls Your Enterprise Data Layer? 
The Real AI Power Play: Who Controls Your Enterprise Data Layer?
IT and data teams were promised that AI would make work easier. Instead, it's created new layers of complexity.
Link to Building the Backbone of Agentic AI with Trusted, Context-Rich Data 
Building the Backbone of Agentic AI with Trusted, Context-Rich Data
In this 10-minute take video, Reltio Principal Solutions Consultant Guy Vorster explains how organizations can overcome fragmented data challenges to power AI agents.
Link to IHG scales real-time, trusted data across global brands 
IHG scales real-time, trusted data across global brands
Accelerating time to value while powering data-driven engagement
Link to Dell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform Infrastructure
Dell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform Infrastructure
AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented data, weak metadata, slow pipelines, and poor data locality can stall AI projects before models ever reach production.
Link to BMC’s Jennifer Margules on Intelligent Enterprise Orchestration
BMC’s Jennifer Margules on Intelligent Enterprise Orchestration
In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise.
Link to Global-First Finance: Building Scalable, Compliant Operations in an Uncertain World
Global-First Finance: Building Scalable, Compliant Operations in an Uncertain World
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly uncertain world. They explore how automation, AI, and integrated platforms are helping finance teams tackle today’s biggest challenges, from cross-border compliance and FX volatility to […]
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Aktuelle Nachrichten - Ressourcen Ressourcen-HubsAusgewählte RessourcenLink to The Real AI Power Play: Who Controls Your Enterprise Data Layer? The Real AI Power Play: Who Controls Your Enterprise Data Layer?IT and data teams were promised that AI would make work easier. Instead, it's created new layers of complexity.Link to Building the Backbone of Agentic AI with Trusted, Context-Rich Data Building the Backbone of Agentic AI with Trusted, Context-Rich DataIn this 10-minute take video, Reltio Principal Solutions Consultant Guy Vorster explains how organizations can overcome fragmented data challenges to power AI agents.Link to IHG scales real-time, trusted data across global brands IHG scales real-time, trusted data across global brandsAccelerating time to value while powering data-driven engagementLink to Dell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform InfrastructureDell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform Infrastructure
AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented data, weak metadata, slow pipelines, and poor data locality can stall AI projects before models ever reach production.
Link to BMC’s Jennifer Margules on Intelligent Enterprise OrchestrationBMC’s Jennifer Margules on Intelligent Enterprise OrchestrationIn this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise.
Link to Global-First Finance: Building Scalable, Compliant Operations in an Uncertain WorldGlobal-First Finance: Building Scalable, Compliant Operations in an Uncertain WorldeSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly uncertain world. They explore how automation, AI, and integrated platforms are helping finance teams tackle today’s biggest challenges, from cross-border compliance and FX volatility to […]
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