INFORMS Annual Meeting
Foundations of Modern Predictive Analytics
Data Analytics for Action & Impact: Transforming Data to Goal-Driven Insight for the Data-Rich yet Information-Poor
Predictive Analytics and Data Mining Strategic Implementation Course Series: A Comprehensive and Active Experience of the Full Modeling Practice Framework
Special ArticlesStudy: When it comes to sales & marketing analytics, few companies ‘get it right’
Companies across industries admit to the growing importance of data analytics to improve sales and marketing effectiveness and decision-making. However, many struggle to piece together siloed data, properly define the problem or design the solution. As a result, they often fail to realize widespread business impact from their efforts, according to a study conducted by The Economist Intelligence Unit (EIU) and sponsored by global sales and marketing firm ZS.Read More
Special Articles2017 Syngenta Crop Challenge in Analytics offers $5,000 prize
Put your analytics skills to the test and win $5,000 in the 2017 “Syngenta Crop Challenge in Analytics” administered by INFORMS and sponsored by the Analytics Society of INFORMS.Read More
Special ArticlesITIF: Expand computer science education to keep up with demand
Computer skills are in high demand among employers in a wide range of industries, not just tech-related fields, yet despite growing interest in the subject, a new report from the Information Technology and Innovation Foundation (ITIF) finds that too few U.S. students are taking quality computer science classes at the high school and university levels. ITIF makes the case for public action to support and maintain the groundswell of interest in computer science and capture the economic and social benefits that will come from fostering a more highly skilled workforce.Read More
IBM announces $3 billion research initiative to tackle chip challenges
IBM recently announced it is investing $3 billion over the next five years in two broad research and early stage development programs to push the limits of chip technology needed to meet the emerging demands of cloud computing and big data systems. These investments will push IBM’s semiconductor innovations from today’s breakthroughs into the advanced technology leadership required for the future.
The first research program is aimed at so-called “7 nanometer and beyond” silicon technology that will address serious physical challenges that are threatening current semiconductor scaling techniques and will impede the ability to manufacture such chips. The second is focused on developing alternative technologies for post-silicon era chips using entirely different approaches, which IBM scientists and other experts say are required because of the physical limitations of silicon-based semiconductors.
Cloud and big data applications are placing new challenges on systems, just as the underlying chip technology is facing numerous significant physical scaling limits. Bandwidth to memory, high-speed communication and device power consumption are becoming increasingly challenging and critical.
The teams will comprise IBM Research scientists and engineers from Albany and Yorktown, N.Y., Almaden, Calif., and Europe. In particular, IBM will be investing significantly in emerging areas of research that are already underway at IBM such as carbon nanoelectronics, silicon photonics, new memory technologies, and architectures that support quantum and cognitive computing.
These teams will focus on providing orders of magnitude improvement in system level performance and energy efficient computing. In addition, IBM will continue to invest in the nanosciences and quantum computing – two areas of fundamental science where IBM has remained a pioneer for over three decades.
IBM researchers and other semiconductor experts predict that while challenging, semiconductors show promise to scale from today’s 22 nanometers down to 14 and then 10 nanometers in the next several years. However, scaling to 7 nanometers and perhaps below by the end of the decade will require significant investment and innovation in semiconductor architectures, as well as invention of new tools and techniques for manufacturing.
“The question is not if we will introduce 7 nanometer technology into manufacturing, but rather how, when and at what cost?” says John Kelly, senior vice president, IBM Research. “IBM engineers and scientists, along with our partners, are well suited for this challenge and are already working on the materials science and device engineering required to meet the demands of the emerging system requirements for cloud, big data, and cognitive systems. This new investment will ensure that we produce the necessary innovations to meet these challenges.”