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    IBM Case

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    IBM Corporation In the seven years (since 1994)‚ that Lou Gerstner reigned over IBM‚ the company’s earnings per share increased an average of 27% per year. This remarkable increase in earnings did not go unnoticed by the securities markets. Indeed‚ the company’s market value grew from less than $30 billion to over $200 billion during the period. Use the following financial statement data to: 1. Decompose IBM’s ROE (by quarter) and discuss the factors (and trends) that contribute to Big Blue’s profitability

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    Ibm Motivation

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    The Wisdom of My Crowd: Motivation and Audience in Enterprise Social Tagging Jennifer Thom-Santelli Cornell University‚ HCI Group 301 College Avenue Ithaca‚ NY USA 14850 +1 607 255 7826 Michael J. Muller IBM Research One Rogers Street Cambridge‚ MA USA 02142 +1 617 693 4235 jt17@cornell.edu michael_muller@us.ibm.com ABSTRACT Social tagging systems allow users to share resources categorized according to community-generated tags. These systems serve to organize personal information

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    Lenovo and Ibm

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    of Lenovo and IBM By Sharona Peng Achieving Successful Cross‐Cultural and Management  Integration: The Experience of Lenovo and IBM.        Sharona Peng      A thesis submitted to Auckland University of  Technology in partial fulfilment of the requirements for  the degree of Master of Business (MBus)    2008    Faculty of Business    Primary Supervisor: Peter Enderwick    1 / 78 Achieving Successful Cross-Cultural and Management Integration: The Experience of Lenovo and IBM By Sharona Peng

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    Cloud

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    profitability. Cloud Integration into Volvo’s Network The ability to collectively harness the wealth of data being mined was invaluable. Volvo Collects a large amount of wealth from its cars on a daily basis and this data is invaluable in making the cars less prone to accidents. Volvo’s promise of making sure that there will be no accidents in a Volvo car by 2020 is one insight into how this data is being analyzed and used. All this information is then transferred via cloud to its Volvo Data

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    Semantic Interoperability in the d-learning in the era of Cloud Computing: Simplicity or Complexity Introduction During recent years there has been an expansion of information system covering the same domain. These systems need more and more to communicate‚ collaborate and exchange content with each other to achieve common goals. Many domains know this revolution‚ including the learning. Learning systems have a rich and varied content must be accessible‚ sharable‚ and exchangeable while keeping

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    Cloud Compiler

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    programmer. Due to‚ viruses or some time improper handling of application the source file may get damaged or lost by system crash. To solve all these problems we are designing a Cloud Based Multi-Language Programming Compiler to executing different types of source code on one editor providing all type of security. Cloud Based Multi-Language Programming Compiler is an application which greatly lightens the student’s workload at the initial stage of programming. At this stage‚ they neither have

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    Ibm Financial Analysis

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    Statements 17 1. Scope of the Analysis 17 2. Examining Credit Worthiness of IBM 17 2.1.1. Short Term Paying Ability 17 2.1.2. Long Term Solvency 22 3. Examining IBM Stock as a Investment Opportunity 23 Part 3: Conclusion 25 References 27 Appendix 1: Calculations for Financial Analysis 28 Part 1: Qualitative Analysis 1. Company Profile International Business Machines Corporation (IBM)‚ founded in 1911‚ is an American multinational technology and consulting corporation

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    Cognitive Computing

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    ABSTRACT ‘Cognitive Computing’ is a search for computer science-type software/hardware elements that are consistent with known neurobiological facts about the brain and give rise to observed mental processes of perception‚ memory‚ language‚ intelligence‚ and‚ eventually‚ consciousness. Very simply speaking‚ Cognitive Computing is when computer science meets neuroscience to explain and implement psychology. Cognitive computing refers to the development of computer systems modeled after the human

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    Grid Computing

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    Front cover Introduction to Grid Computing Learn grid computing basics Understand architectural considerations Create and demonstrate a grid environment Bart Jacob Michael Brown Kentaro Fukui Nihar Trivedi ibm.com/redbooks International Technical Support Organization Introduction to Grid Computing December 2005 SG24-6778-00 Note: Before using this information‚ read the information in “Notices” on page ix. First Edition (December 2005) © Copyright International Business Machines

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    Cloud Indonesia

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    Adoption of the Cloud Business Model in Indonesia: Triggers‚ Benefits‚ and Challenges Ivonne Sartika Mangula1 Universiteit Utrecht Princetonplein 5‚ PO BOX 80089 3508 TB‚ Utrecht +31 30 253 54 33 Inge van de Weerd VU University Amsterdam De Boelelaan 1105 1081 HV Amsterdam +31 20 598 31 32 Sjaak Brinkkemper Universiteit Utrecht Princetonplein 5‚ PO BOX 80089 3508 TB‚ Utrecht +31 30 253 31 75 i.s.mangula@uu.nl i.vande.weerd@vu.nl s.brinkkemper@uu.nl The objective of this paper

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