Community Learning and the Value of Transparency

From my point of view, three significant tidal waves of technology are coming together to improve community learning in organizations of all sizes. They are: significant increases in data volume & velocity, the need to share previously disparate data sets across organizations, and the desire for a wider audience of “citizen data scientists” to have real-time access to all of those data sets at speed and at vastly larger scales. This challenges technology providers to create novel, flexible approaches to load, store, manage, process, and serve out those data in operational environments that maintain data integrity, and data governance compliant with privacy and other concerns in heavily regulated applications like healthcare.

The best and the biggest organizations that I see doing this are creating analytics ecosystems based on proven industry standards for quality & security while providing the legions of analysts, researchers, data scientists and others to work in a variety of integrated development environments (IDEs) to quickly correlate previously disparate data sources. The data sources are growing exponentially give the Internet of Things (IoT), the proliferation of embedded sensors in everything, wide variety of edge computing touchpoints. So, successful community learning systems require the strongest, scalable data environments to support them.

Over the next decade, the rate of data growth, combined with the variety and speed with which it will be produced will continue to grow exponentially, which means that we will all be better connected than ever to learn as a community and share our best practices with each other and our larger global family.