Dr. J. Sairamesh (Ramesh), Managing Partner at 360Fresh Inc.
In this talk I will cover Service ValueNetworks that have emerged in various Industries (e.g. Manufacturing, Pharma, HealthCare and others) in various forms and shapes over the last decade. The Service ecosystems supporting such value networks are complex and ad-hoc and have varying risk criteria, interconnectivity and risk measurements when compared to more traditional supply-chains and value-chains. Value networks as a research area represent a novel approach to modeling complex enterprise relationships from the perspective of value creation and sharing.
This talk addresses three major challenges of value network-driven enterprise analysis:
(1) unifying the business knowledge of multiple enterprises and their diverse and conflicting objectives in the value network,
(2) sensing the value network and processes through systems design, and
3) analyzing the value offered by multiple service entities in the network based on common goals and metrics.
Biography:
Dr. J. Sairamesh (Ramesh) is currently a Managing Partner at 360Fresh Inc. Previously he was a Manager and Program Leader for Business Solutions and Manufacturing Quality Research at IBM Watson Research, New York. He was one of the functional architects for IBM’s e-business and e-Marketplace products. At IBM, from 2001 to 2007, he helped drive the vision and strategy for business solutions on value-chain management, warranty and enterprise quality in manufacturing (automotive) for IBM. He led a team on early warning solutions, services middleware and end-to-end quality technologies. He has helped incubate and drive three commercial business solutions for IBM’s customers in the areas of Dealer-CRM, Early Warning for Warranty and Supply-Chain Quality. He has numerous US Patents and over 50 research publications. He has won three outstanding innovation awards and a research division award for his eCommerce and Business Solutions work at IBM. He received his M.S., M. Phil.(1992), and Ph.D (1996) from EE and CS at Columbia University.
Duration : 0:54:55
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John Chuang, Associate Professor, UC Berkeley School of Information
Abstract:
Are we investing too little in information security? Are we investing too much? Since Anderson and Varian posed these questions in 2002, much progress has been made in understanding rational decision-making in information security. In this talk, I will discuss the challenges of applying risk management to security, highlight the public goods nature of interdependent security, explore the tradeoffs between protection and insurance, and motivate a new “weakest target” game to investigate the incentive dynamics of botnets and other classes of attacks.
Bio:
John Chuang is Associate Professor at the School of Information at UC Berkeley. He received a B.S. and M.S. in Electrical Engineering from the University at Southern California and Stanford University respectively, and a Ph.D. in Engineering and Public Policy from Carnegie Mellon University. His research focus is on economics-informed design of computer networks and distributed systems, including incentive mechanisms for peer-to-peer systems, economics of network security, and economics of network architectures.
Duration : 0:46:7
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Intelligence for the Humanoid Robot ASIMO: A Synthetic Approach to Understanding Principles of Processing in the Brain.
I would like to welcome you to the web site of the Honda Research Institute Europe (HRI-EU).
The Honda Research Institute Europe is one of three basic research units Honda inaugurated in a bold and foresighted move in 2003. It is our mission to contribute to the future of our society and thereby to the future of Honda by pursuing emerging technologies.
By translating principles of biological information processing systems into unique and innovative technology, the team at the Honda Research Institute Europe strives towards becoming the Centre of Excellence for Intelligent Systems Research in Honda.
The human brain demonstrates that robustness, functional autonomy and cognition in unconstrained environments are possible. Hence, an understanding of the brain is the most promising way towards the creation of intelligent systems.
In order to understand the brain, we follow an “analysis through synthesis” philosophy. We set the architectural and processing constraints for self-assembly through evolution and learning of the artificial system in interaction with the environment.
To progress from pre-programmed skills to learnt and thereby actively acquired behaviour provides us with the key for a new class of systems: systems whose architecture and dynamics provide the basis for brain-like intelligence.
I hope you enjoy this concise introduction to the work of our institute.
Prof. Dr.-Ing. E. Körner
President
Offenbach, 2007
http://www.honda-ri.de/
Duration : 0:49:22
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Marija Ilic [CMU]
Abstract:
In this talk we describe an IT-enabled decision making framework for cooperative incentives-driven utilization of the existing resources and for sustainable investments in new technologies. We point out that in order to achieve a long-term sustainable energy utilization, it is essential to provide necessary information to internalize the value of just-in-time (JIT), just-in-place (JIP) and just-in-context (JIC) distributed adaptation across the entire supply chain, ranging from the smallest consumers and energy providers, through their aggregators and system coordinators. This would avoid to a large extent technology bias. We illustrate using our model-based novel simulator how a carefully designed multi-directional and multi-temporal information exchange could enable sustainable decision making while accounting for unique needs and capabilities of various resources. At the same time, information would incentivize the resources to contribute to system-wide sustainability objectives at value. We illustrate the dependence of such decisions-driven industry evolution on the industry rules (contextual factors), as well as on the operating and planning practices for implementing the industry rules (temporal and spatial factors). Conceptual simulations are provided to illustrate strong effects of these factors on the long-term industry performance without embedding IT support, and potential improvements by means of carefully designed IT. Our model-based simulator could be used as a means of designing novel regulation defining rules, rights and responsibilities regarding the type and rate of information to be exchanged while inter-operating in support of sustainable industry evolution
Biography:
Marija D. Ilic received her Doctor of Scence Degree in Systems Science at Washington University in St. Louis, MO in 1980. She is currently a Professor at Carnegie Mellon University, Pittsburgh, PA, with a joint appointment in the Electrical and Computer Engineering and Engineering and Public Policy Departments. She is also the Honorary Chaired Professor for Control of Future Electricity Network Operations at Delft University of Technology in Delft, The Netherlands. She was an Assistant Professor at Cornell University, Ithaca, NY, and tenured Associate Professor at the University of Illinois at Urbana-Champaign. She was then a Senior Research Scientist in Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, from 1987 to 2002. She has 30 years of experience in teaching and research in the area of electrical power system modeling and control. Her main interest is in the systems aspects of operations, planning, and economics of the electric power industry. She has co-authored several books in her field of interest. Prof. Ilic is an IEEE Fellow.
Duration : 0:57:30
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March 2, 2007
For many years, computer vision researchers have worked hard chasing the elusive goals such as “can the robot find a boy in the scene” or “can your vision system automatically segment the cat from the background”. These tasks require a lot of prior knowledge and contextual information. How to incorporate prior knowledge and contextual information into vision systems, however, is very challenging. In this talk, we propose that many difficult vision tasks can only be solved with interactive vision systems, by combining powerful and real-time vision techniques with intuitive and clever user interfaces. I will show two interactive vision systems we developed recently, Lazy Snapping (Siggraph 2004) and Image Completion (Siggraph 2005), where Lazy Snapping cuts out an object with solid boundary using graph cut, while Image Completion recovers unknown region with belief propagation. A key element in designing such interactive systems is how we model the user’s intention using conditional probability (context) and likelihood associated with user interactions. Given how ill-posed most image understanding problems are, I am convinced that interactive computer vision is the paradigm we should focus today’s vision research on.
Duration : 1:1:5
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The video provides unique perspectives on knowledge management if used can reward businesses achieve quantum growth and enhanced efficiencies and profitability. Kumaran is an effective information analyst whose analysis and interpretations have significantly assisted individuals and firms to sometimes make drastic changes and enjoy quantum leaps. Kumaran has developed original learning modules on knowledge management that can make organisations to enjoy significant commercial benefits. For more information, please contact:kcsa@aapt.net.au
Duration : 0:7:17
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Learning, Reasoning, and Intelligence in the Open World: From Principles to Practice
Dr. Eric Horvitz Principal Researcher & Research Area Manager, Microsoft Research
Abstract:
Systems that learn and reason from streams of data promise to provide extraordinary value to people and society. I will discuss directions with harnessing machine perception, learning, and inference in the open world, highlighting key ideas in the context of projects in transportation, energy, healthcare, and communications. After reviewing efforts in several realms, I will reflect on directions regarding the capture and use of data in accordance with the preferences of people about their privacy.
Bio:
Eric Horvitz is a Principal Researcher at Microsoft Research. His interests span theoretical and practical challenges with developing systems that sense, learn, and reason. His contributions include advances in principles of learning and decision making, and the development and fielding of applications in transportation, healthcare, aerospace, information retrieval, and ecommerce. Eric is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) and has served as President of the organization. He has also served on the NSF CISE Advisory Board, the DARPA Information Science and Technology Study Group (ISAT), the Naval Research Advisory Committee (NRAC), and the Carnegie-Mellon University Machine Learning Advisory Board. Eric received his PhD and MD degrees at Stanford University. More information can be found at: http://research.microsoft.com/~horvitz
Duration : 1:15:12
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science is an interesting design within the unified consciousness field of this existence, which human beings perceive to be a “life experience”, in which they are, apparently, “alive and living”. Now, just to get the record straight, is that the unified consciousness field is the mind consciousness system’s design of its perception and belief of what it might, possibly mean “to live” and to “experience life”. ‘Cos human beings that think, experience emotions and feelings, think that they are “alive”. No. You are “alive” as a mind consciousness system – generating, manifesting, designing the unified consciousness field.
So, where do I, as the Design of Science, fit into all of this? Now, in a previous, specific interview, it has been mentioned that way in the beginning, when human beings were designed – manifested as mind consciousness systems – human beings had all the information and knowledge of this existence. You knew and understood and comprehended everything. How was time and space created and manifested? Through stretching out all that knowledge and information, of all of existence, in a space-time continuum, for you to… [coughs] to have a starting point of [looks around], “I don’t know where I am…uhm… I don’t know what this existence is. I don’t know what I am. Let me find out.” Thus, the mind consciousness system, was, let’s say, deactivated from the knowledge and information of all of existence perspective, and, thus, you were placed into the reincarnation cycles after cycle, after cycle, to now “experience the re-discovering of yourself”, as you, as all the knowledge and information that you have. And, that is the foundation and principle reason for science.
Science is the manifestation of human beings’ mind consciousness systems re-discovering, and re-understanding, and re-gaining, and re-attaining, and re-obtaining all the knowledge and information of this existence, which you are actually, in the first place, but, which you think you don’t know, and which you think you’ve lost, because you’ve been enslaved, and placed into a space-time continuum, within this consciousness unified field, in which you experience space and time – and, then, lost and stuck in continuous and constant reincarnation cycles
DesteniProductions DesteniProduction Desteni join the forum at http://www.desteni.co.za for discussions
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Duration : 0:7:33
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The transition into the information and knowledge society is being accompanied by redefinition of the business processes and renewal of the information systems. There is an evident growth in the size and complexity of these systems. The consequence is that actual development problems cannot be successfully addressed and resolved by individuals. Moreover, heterogeneous and multidisciplinary teams are required and project teams should consist of members from various professional, technological and cultural environments. Teams have to respect maxims of collaborative communication in order to efficiently manage the complexity inherent to business and information systems and corresponding software and services.
The aim of the conference is to encourage potential authors to submit scientific papers as well as papers addressing applications of new techniques and methods enabling collaborative work and efficient service engineering. Topics are not limited to the domain of IS and software development – papers that address issues related to collaborative work in business systems and in community in general are also welcome.
Duration : 0:4:31
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Advances in information technology coupled with powerful market forces are transforming just about all aspects of business and society. We can increasingly leverage the Internet and related open standards to look at a whole organization – an enterprise, an industry eco-system or an economy – as a holistic, integrated system, linking together processes, information and people. This talk will explore some of the huge challenges that we face in order to realize the potential benefits of such business and societal transformations, including the ability to effectively design and use highly complex, human oriented, market-facing systems and applications. We will also discuss the role of universities in conducting the necessary research and training the necessary talent needed in the emerging knowledge economy.
Duration : 1:2:0
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