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Frontiers of information technology

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4 Author(s)
D. E. Dillenberger ; IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, NY, USA ; D. Gil ; S. V. Nitta ; M. B. Ritter

Every year, the IBM Research Division undertakes a year-long process to analyze and map out important trends and future directions shaping the advances and the applications of information technology (IT). The results are summarized in a document called the Global Technology Outlook (GTO), which influences IBM's strategy and technology roadmaps. Coinciding with the IBM Centennial, a special chapter was commissioned in the 2011 GTO, which was designed to both reflect on the historical evolution of computers and computation as well as to look a few decades ahead to explore the new frontiers of IT. This paper presents the results of this study. It provides a vision of the future in which advances in technology will enable the creation of a new class of “learning” systems, i.e., designed with people as an integral and central element of the process, and which are explicitly aimed to enhance human cognition. These systems will learn from both structured and unstructured data, find important correlations, create hypotheses for these correlations, and suggest and measure actions to enable better outcomes for users. Systems with these capabilities will transform our view of computers from “calculators” to “machines that learn,” which is a shift that will radically alter our expectations of what computing ought to do for us as humans and that will equip us to successfully navigate the increasing complexity of our globally interconnected world.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

Published in:

IBM Journal of Research and Development  (Volume:55 ,  Issue: 5 )