What distinguishes the KM programs that stand the test of time is their sheer determination and dogged approach to evolving ever-closer to the business
Many real-world studies include analyses of data from sources such as anonymized electronic medical records (EMR) and insurance claims.
With a never-ending influx of data, information is only valuable when it can easily be found, shared, and communicated. The degree to which organizations can apply tools and policies that enhance knowledge sharing and collaboration will ultimately determine how successful an organization can be.
The easiest way for marketers to create a unified communications strategy is by using a content management system
Compliance with new U.S. data privacy laws requires the right information management strategy
For RPA to progress beyond automating simple repetitive tasks with fixed rules, enterprises will need to turn their RPA robots into "smarter" robots that can process a wide variety of unstructured content
Robotic process automation (RPA) has gained significant momentum this year. But for RPA to progress beyond automating simple repetitive tasks with fixed rules, enterprises will need to turn their RPA robots into "smarter" robots that can process a wide variety of unstructured content, effectively replacing employees from the manual work of processing information trapped within documents.
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.
In the field of knowledge management, of course, the idea of turning data into information into knowledge has been a foundation concept for knowledge managers. But frankly, the ability to achieve this alchemy of data to knowledge has not been broadly demonstrated in practice. A next generation information refinery is required to make something meaningful and valuable out of the raw data flying around the firm and throughout the internet economy.
We're familiar with the near-term portion of the time spectrum—from femtosecond lasers used in eye surgery to high-frequency trading in milliseconds on the major securities exchanges. Unfortunately, the extreme opposite end of the time spectrum, the "deep future" receives little if any attention. Decisions in fields such as genetic engineering, nuclear energy, geopolitics and the like can have serious implications for human civilization. But the impact of those decisions might not become apparent for many thousands of years and hundreds of generations.
If you use the word "content" to talk about stuff on the Web, my friend Doc Searls is likely to give you a stiff talking-to. People don't write content. They write articles, poems, songs, etc.