"Smart people are quick to call "all things social" hype because sometimes smart people filter everything through what they know rather than what they don't know."
"In the "e-learning era" the focus of training moved to designing and developing sophisticated, self-paced, online course content, and then managing access to it in a LMS. With the emergence of the "networked learning era" training departments have begun to think about how they can add "social" into the mix."
In cognitive systems, performance improvements will derive from scaling in: moving key components, such as storage, memory, networking and processing onto a single chassis, closer to the data.
The volume of data produced today isn't just increasing—it's getting faster, taking more forms and is increasingly uncertain in nature.
Uncertainty arises from such sources as social media, imprecise data from sensors and imperfect object recognition in video streams. IBM experts believe that by 2015, 80 percent of the world's data will be uncertain.
Whereas in today's programmable era, computers essentially process a series of "if then what" equations, cognitive systems learn, adapt, and ultimately hypothesize and suggest answers.
"Over the past few decades, Moore's Law, processor speed and hardware scalability have been the driving factors enabling IT innovation and improved systems performance. But the von Neumann architecture-which established the basic structure for the way components of a computing system interact-has remained largely unchanged since the 1940s. Furthermore, to derive value, people still have to engage with computing systems in the manner that the machines work, rather than computers adapting to interact with people the way they work."