November 9-12, 2014
2014 INFORMS Annual Meeting
San Francisco, CA
Special ArticlesIBM 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.Read More
Special ArticlesWSC 2014: Exploring big data through simulation
The Winter Simulation Conference (WSC) has been the premier international forum for disseminating recent advances in the field of system simulation for more than 40 years, with the principal focus being discrete-event simulation and combined discrete-continuous simulation. In addition to a technical program of unsurpassed scope and high quality, WSC provides the central meeting place for simulation researchers, practitioners and vendors working in all disciplines and in industrial, governmental, military, service and academic sectors. WSC 2014 will be held Dec. 7-10 in Savannah, Ga., at the Westin Savannah Harbor Golf Resort & Spa and the adjacent Savannah International Trade & Convention Center.Read More
Special ArticlesINFORMS Annual Meeting in S.F. to bridge data, decisions
The 2014 INFORMS Annual Meeting in San Francisco, set for Nov. 9-12 and whose theme is “Bridging Data and Decisions,” promises to be one of the largest ever, with more than 5,000 technical presentations. Whether you are interested in pressing societal needs, including healthcare, energy and climate change, new developments in supply chain management and logistics, cutting-edge methodologies for optimization, or advances in stochastic processes and risk analysis, you will find hundreds of presentations to match your interests.Read More
Gartner: Nearly one-third of organizations to use cloud
Nearly one-third of organizations either already use or plan to use cloud or software-as-a-service (SaaS) offerings to augment their core business intelligence (BI) functions, according to Gartner, Inc.
According to a survey of 1,364 IT managers and business users of BI platforms in the fourth quarter of 2011, only 17 percent of organizations have replaced or plan to replace parts of their core BI functions with cloud/SaaS offerings. However, 27 percent already use or plan to use cloud/SaaS options to augment their BI capabilities for specific lines of business or subject areas in the next 12 months.
“Business users are often frustrated by the deployment cycles, costs, complicated upgrade processes and IT infrastructures demanded by on-premises BI solutions,” says James Richardson, research director at Gartner. “SaaS- and cloud-based BI is perceived as offering a quicker, potentially lower-cost and easier-to-deploy alternative, though this has yet to be proven. It’s evident that, despite growing interest, the market is confused about what cloud/SaaS BI and analytics are and what they can deliver.”
Gartner has identified three major drivers for the adoption of cloud/SaaS offerings for BI, analytics and performance management:
Time to value: The use of SaaS BI may lead to faster deployment, insight and value, particularly where IT is constrained by existing work and/or limited budget so that it cannot respond to demands for information and analysis as quickly as the business requires.
Cost concerns: The cost dynamic differs between on-premises and SaaS models. Software purchased as a service can usually be expensed, rather than capitalized, on the balance sheet. Buyers often think that SaaS is cheaper, but the reality is that this is unproven. Gartner's cost models show SaaS can be cheaper over the first five years, but not thereafter. The long-term benefits lie elsewhere – in terms of cash flow, reduced IT support costs, etc.
Lack of available expertise: SaaS analytic applications offer prebuilt intellectual property that can help firms work around a lack of the skills needed to build their own analytic solutions.