Organizations are recognizing that effective data governance is ultimately more of a benefit than a burden. It increases efficiency by delivering trusted data, improves business processes, decreases data downtime, and reduces compliance risk. It also promotes data literacy throughout the enterprise.
Northern Light, by implementing generative AI, enable users of Northern Light SinglePoint™ portals to instantly receive well-informed answers to their specific questions, drawing upon only reliable, authoritative content sources.
40+ years of content complexity understanding and the latest AI technology have been infused into Quark Publishing Platform (QPP) NextGen, empowering enterprises to automate each stage of the content lifecycle and effectively create, collaborate, assemble and deliver high value content -often critical for businesses in regulated industries - to support business objectives.
It's an exciting time for KM, with new technologies and new approaches sparking new opportunities. The KMWorld conference, the largest global gathering of KM thought leaders, practitioners, and authors, returns to Washington, D.C., this November.
To mitigate the risks associated with illegal data, organizations need to implement data governance policies and procedures to ensure that all data is properly documented, stored, and maintained.
Several KM leaders offer predictions for the space in 2023
With the increase of decentralized workplaces and remote and hybrid work models, SaaS has overtaken on-premises apps and become critical to any company's success
Knowledge graphs continue to make a splash in the KM space
There is no questioning that generative AI is here to stay, but its use in mission-critical work has some way to go before it can be trusted and let loose.
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.
No matter how much "intelligence" is programmed into a computer, it will very likely never understand the results it produces. Doing so takes human cognition, intuition, judgment, and other ways we humans make sense out of data.
Many innovations from the past needed the insight of entrepreneurs as well as technologists to change the world. That's also the case with machine learning and AI.