The need for technology-supported collaboration increased dramatically due to COVID-19—and a hybrid work environment is likely to remain the norm even after the impact of the pandemic subsides.
Cloud computing replaces upfront capital expenses with lower operational ones, which is instrumental in hastening digital transformation.
KM teams should focus not just on pushing new technology but also on how they can better support foundational capabilities such as collaboration and expertise location in the digital workplace.
In a very real sense, data governance is the "business function" of MDM, controlling how data is created, collected, and used
The knowledge graph stage emerged in full at KMWorld Connect 2020
If 2020 has taught us anything, it's just how imperative agility is to the success of companies trying to maintain momentum during uncertain times
Common pitfalls to avoid and skills to look for when hiring your first KM manager
The tech sector is growing fast, but without thorough business analysis, insight, proper planning, and a focus on challenging the better-quicker-cheaper approach and replacing it with a beneficial-adaptable-affordable commitment, there is a world of trouble ahead.
Moving to a push rather than a pull mentality simply means that we now have the technology to tag, manage, and interpret information automatically and near instantly—automatically pushing the right information to the right person (or application) at the right time.
As with all tools, data has uses because of complex contexts that include other objects, physics, social norms, social institutions, and human intentions.
Given the increased negative media exposure that comes from project failure, organizations need more tightly integrated, intelligent project management systems, in addition to people who have the requisite skills. This need will grow as systems continue to become more complex and timelines more tightly compressed.