January/February 2022 [Volume 31, Issue 1]
Looking to the future: 2022 KM outlook
The most drastic change KM has grappled with in the 2020s is the explosion of remote and hybrid work, which sparked an urgent need to enable virtual communication and critical information access.
Turning data into gold: Knowledge graphs, AI, and machine learning
Implementing knowledge graphs is either a direct requirement or best practice for the most effectual AI techniques—many of which have significant knowledge management consequences.
Enterprise search— an evolving technology
Today's search technology is much more intelligent, and capable of returning concept-based results rather than simple word matching based on indexed content.
8 reasons why the future of self-service is chatbots
Chatbot technology has become an irreplaceable part of the self-service experience
9 Key takeaways about search and content management from KMWorld Connect 2021
Artificial intelligence, machine learning, and knowledge graphs are changing how search is implemented and delivered
KMWorld Connect 2021 recap: Knowledge graphs were front and center
In 2021, knowledge graphs weren't just blossoming—they were blooming—and it was clear that we are now in the knowledge graph stage of KM development
KM in Practice
Discovery taps AWS to power rollout of discovery+
As Discovery's preferred cloud provider, AWS powers the majority of the company's infrastructure needs to deliver its discovery+ on-demand streaming video service and other services for customers around the world
Panasonic chooses Box as its content collaboration platform
Box helps Panasonic accelerate digital transformation, improve access to information, and achieve new ways of working
Predictions can be used to try to get to the bottom of something in the present. That's often the case with arguments about what the web will do to us and society.
The Future of the Future
Thinking fast—and faster
If you're going to achieve consistent, effective high-speed decision making, it can't involve a protracted review by upper management.
Getting to the future of KM
AI can and does do a good job of assisting and even augmenting knowledge work, but our "to be" state should not take the human element—however flawed—from the work.