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.
The first era of computing, referred to as Tabulating Systems, began around the turn of the twentieth century and went from approximately mid-to-late 1940s/early 1950s. These were systems that basically counted, added, and did simple arithmetic.
In the late 1940s and early 1950s, we entered a second era of computing, which John Kelly, IBM's chief technologist, likes to refer to as the Programmable Era.
With the continuous rise of big data, that's no longer good enough. We're going to have to enter an entirely new era of systems that are dramatically different than what we know today. And that third era of computing we refer to as the Cognitive Systems Era, cognitive being very much like the behavior of our brain in terms of its analytics capability and its ability to deal with unstructured data in a very complex world.
In this Cognitive Systems Era, a new generation of computing systems is emerging with embedded data analytics, automated management and data-centric architectures in which the storage, memory, switching and processing are moving ever closer to the data.
New Era of Computing at IBM Client Centers Europe
IBM Client Centers Europe offer an interactive exhibition on New Era of Computing where you can experience IBM's vision of the future of computing, its related cutting-edge research as well as the forward-thinking products and services in Big Data, Energy Efficiency and Cognitive Systems.
The New Era of Computing exhibition is now live at IBM Client Center Paris, at IBM Client Center Nordic in Stockholm & in IBM Client Center Zurich. Visitors can also learn about New Era of Computing in the Research areas of most of IBM Client Centers around Europe.
For questions related to the New Era of Computing roadshow, contact Lydia Feraud.
Every day, the world creates 2.5 quintillion bytes of digital data from sensors, social media, images and videos, transaction records, GPS signals, etc. More
Energy efficiency is one of the paramount issues in computing as the need for more computing power and storage grows at exponential rates.