This document discusses IBM's "Smarter Planet" initiative and vision of interconnected systems producing real-time actionable information. It examines how storage solutions can enable a smarter planet by harnessing data from various sources. Examples are provided of how healthcare and retail have begun implementing pervasive data systems using sensors and analytics to improve patient outcomes, optimize operations, and gain competitive advantages. The role of real-time information and analytics is growing for both businesses and individuals to understand current conditions and make predictions.
University of California Center for Health Leadership Mobile workshopmikekirkwood
Workshop building baseline mobile health landscape, scenario description, and development workshop given by Mike Kirkwood in Oakland California on 11/17/2010.
Physical Cyber Social Computing: An early 21st century approach to Computing ...Amit Sheth
Keynote given at WiMS 2013 Conference, June 12-14 2013, Madrid, Spain. http://aida.ii.uam.es/wims13/keynotes.php
Video of this talk at: http://videolectures.net/wims2013_sheth_physical_cyber_social_computing/
More information at: More at: http://wiki.knoesis.org/index.php/PCS
and http://knoesis.org/projects/ssw/
Replacing earlier versions: http://www.slideshare.net/apsheth/physical-cyber-social-computing & http://www.slideshare.net/apsheth/semantics-empowered-physicalcybersocial-systems-for-earthcube
Abstract: The proper role of technology to improve human experience has been discussed by visionaries and scientists from the early days of computing and electronic communication. Technology now plays an increasingly important role in facilitating and improving personal and social activities and engagements, decision making, interaction with physical and social worlds, generating insights, and just about anything that an intelligent human seeks to do. I have used the term Computing for Human Experience (CHE) [1] to capture this essential role of technology in a human centric vision. CHE emphasizes the unobtrusive, supportive and assistive role of technology in improving human experience, so that technology “takes into account the human world and allows computers themselves to disappear in the background” (Mark Weiser [2]).
In this talk, I will portray physical-cyber-social (PCS) computing that takes ideas from, and goes significantly beyond, the current progress in cyber-physical systems, socio-technical systems and cyber-social systems to support CHE [3]. I will exemplify future PCS application scenarios in healthcare and traffic management that are supported by (a) a deeper and richer semantic interdependence and interplay between sensors and devices at physical layers, (b) rich technology mediated social interactions, and (c) the gathering and application of collective intelligence characterized by massive and contextually relevant background knowledge and advanced reasoning in order to bridge machine and human perceptions. I will share an example of PCS computing using semantic perception [4], which converts low-level, heterogeneous, multimodal and contextually relevant data into high-level abstractions that can provide insights and assist humans in making complex decisions. The key proposition is to explain that PCS computing will need to move away from traditional data processing to multi-tier computation along data-information-knowledge-wisdom dimension that supports reasoning to convert data into abstractions that humans are adept at using.
[1] A. Sheth, Computing for Human Experience
[2] M. Weiser, The Computer for 21st Century
[3] A. Sheth, Semantics empowered Cyber-Physical-Social Systems
[4] C. Henson, A. Sheth, K. Thirunarayan, Semantic Perception: Converting Sensory Observations to Abstractions
Can we morally justify the replacement of humans by artificial intelligence i...Kai Bennink
1) The document discusses whether artificial intelligence can morally replace humans in cancer treatment by analyzing the case of IBM Watson Oncology.
2) IBM Watson Oncology uses AI and machine learning to analyze patient data and provide treatment options to help doctors, achieving similar or better diagnosis rates than doctors.
3) However, some argue that AI systems like Watson are "black boxes" that we don't fully understand, and they could fail or make decisions in unexpected ways, so strict principles are needed to ensure AI aligns with human values and responsibilities.
The document discusses the informational needs of organizations in an information society. It describes how organizations must adapt to constant innovation, global competition, and a highly dynamic information environment. It also discusses how organizations can use information systems to facilitate knowledge work, continuous innovation, internal renewal, and protection from information overload through targeted information acquisition and filtering.
PoV on Latest technology Trends impact on Insurance Industry Jishnu Mithre
1. The document discusses several emerging technologies including context-aware computing, cloud computing, fabric-based computers, quantum computing, ubiquitous computing, in-memory computing, Senseye technology, consumerization, big data analytics, social media analytics, real-time analytics, voice command applications, and augmented reality.
2. Many of these technologies can be applied in insurance and other sectors to increase efficiency, gain insights from large datasets, and better serve customers through personalized, real-time interactions and information.
3. Emerging technologies will continue to change how businesses operate as consumers increasingly demand online, self-service options available anywhere, anytime.
Webinar: Innovations in Mobile Health: Highlights and Future DirectionsHHS Digital
Mobile health (mHealth) refers to the use of mobile technologies like mobile phones and tablets for health services and information access. The document summarizes key mHealth activities within the US Department of Health and Human Services (HHS), including the formation of text messaging and mobile application task forces. It provides examples of HHS-supported mHealth tools like health texting programs and mobile apps. The document also discusses important issues for future mHealth development such as defining mHealth, scaling successful pilots, regulation, privacy, and funding mechanisms.
University of California Center for Health Leadership Mobile workshopmikekirkwood
Workshop building baseline mobile health landscape, scenario description, and development workshop given by Mike Kirkwood in Oakland California on 11/17/2010.
Physical Cyber Social Computing: An early 21st century approach to Computing ...Amit Sheth
Keynote given at WiMS 2013 Conference, June 12-14 2013, Madrid, Spain. http://aida.ii.uam.es/wims13/keynotes.php
Video of this talk at: http://videolectures.net/wims2013_sheth_physical_cyber_social_computing/
More information at: More at: http://wiki.knoesis.org/index.php/PCS
and http://knoesis.org/projects/ssw/
Replacing earlier versions: http://www.slideshare.net/apsheth/physical-cyber-social-computing & http://www.slideshare.net/apsheth/semantics-empowered-physicalcybersocial-systems-for-earthcube
Abstract: The proper role of technology to improve human experience has been discussed by visionaries and scientists from the early days of computing and electronic communication. Technology now plays an increasingly important role in facilitating and improving personal and social activities and engagements, decision making, interaction with physical and social worlds, generating insights, and just about anything that an intelligent human seeks to do. I have used the term Computing for Human Experience (CHE) [1] to capture this essential role of technology in a human centric vision. CHE emphasizes the unobtrusive, supportive and assistive role of technology in improving human experience, so that technology “takes into account the human world and allows computers themselves to disappear in the background” (Mark Weiser [2]).
In this talk, I will portray physical-cyber-social (PCS) computing that takes ideas from, and goes significantly beyond, the current progress in cyber-physical systems, socio-technical systems and cyber-social systems to support CHE [3]. I will exemplify future PCS application scenarios in healthcare and traffic management that are supported by (a) a deeper and richer semantic interdependence and interplay between sensors and devices at physical layers, (b) rich technology mediated social interactions, and (c) the gathering and application of collective intelligence characterized by massive and contextually relevant background knowledge and advanced reasoning in order to bridge machine and human perceptions. I will share an example of PCS computing using semantic perception [4], which converts low-level, heterogeneous, multimodal and contextually relevant data into high-level abstractions that can provide insights and assist humans in making complex decisions. The key proposition is to explain that PCS computing will need to move away from traditional data processing to multi-tier computation along data-information-knowledge-wisdom dimension that supports reasoning to convert data into abstractions that humans are adept at using.
[1] A. Sheth, Computing for Human Experience
[2] M. Weiser, The Computer for 21st Century
[3] A. Sheth, Semantics empowered Cyber-Physical-Social Systems
[4] C. Henson, A. Sheth, K. Thirunarayan, Semantic Perception: Converting Sensory Observations to Abstractions
Can we morally justify the replacement of humans by artificial intelligence i...Kai Bennink
1) The document discusses whether artificial intelligence can morally replace humans in cancer treatment by analyzing the case of IBM Watson Oncology.
2) IBM Watson Oncology uses AI and machine learning to analyze patient data and provide treatment options to help doctors, achieving similar or better diagnosis rates than doctors.
3) However, some argue that AI systems like Watson are "black boxes" that we don't fully understand, and they could fail or make decisions in unexpected ways, so strict principles are needed to ensure AI aligns with human values and responsibilities.
The document discusses the informational needs of organizations in an information society. It describes how organizations must adapt to constant innovation, global competition, and a highly dynamic information environment. It also discusses how organizations can use information systems to facilitate knowledge work, continuous innovation, internal renewal, and protection from information overload through targeted information acquisition and filtering.
PoV on Latest technology Trends impact on Insurance Industry Jishnu Mithre
1. The document discusses several emerging technologies including context-aware computing, cloud computing, fabric-based computers, quantum computing, ubiquitous computing, in-memory computing, Senseye technology, consumerization, big data analytics, social media analytics, real-time analytics, voice command applications, and augmented reality.
2. Many of these technologies can be applied in insurance and other sectors to increase efficiency, gain insights from large datasets, and better serve customers through personalized, real-time interactions and information.
3. Emerging technologies will continue to change how businesses operate as consumers increasingly demand online, self-service options available anywhere, anytime.
Webinar: Innovations in Mobile Health: Highlights and Future DirectionsHHS Digital
Mobile health (mHealth) refers to the use of mobile technologies like mobile phones and tablets for health services and information access. The document summarizes key mHealth activities within the US Department of Health and Human Services (HHS), including the formation of text messaging and mobile application task forces. It provides examples of HHS-supported mHealth tools like health texting programs and mobile apps. The document also discusses important issues for future mHealth development such as defining mHealth, scaling successful pilots, regulation, privacy, and funding mechanisms.
This whitepaper discusses the challenges that enterprises face in developing applications for mobile devices. It argues that traditional enterprise IT systems are not well-suited for the mobile world, which demands 24/7 access, local context awareness, multimedia usage and social interactions. The paper proposes that a search-based application architecture using a search engine to index and provide access to enterprise data across systems can help enterprises build mobile applications that meet these needs in a scalable and responsive way. This architecture provides an independent data layer that ensures real-time, consolidated access to enterprise information from any mobile device.
Holly White Paper: Wearables to reduce technology based work stress. By Jenny HoHollySydney
At Holly we research into the digital future. We have an intern program that gives students the opportunity to research, develop and trial ideas to create something cool and inspiring.
IBM is at the dawn of a new era of cognitive computing that will transform how people live and work, just as previous computing revolutions have. Technologies like IBM's Watson computer demonstrate that machines can now understand natural language, learn from experience, and provide insights by accessing huge amounts of data. IBM aims to develop cognitive systems that can help humans better understand complex problems and make better decisions across many fields like healthcare, education, and government. This new generation of intelligent machines will require collaboration between technology companies and other organizations to fully realize the potential of cognitive computing.
In the recent years, Internet of Things (IoT) has acquired a remarkable attention. IoT projects a world where billions of smart, interacting things are able to offer various services to near and remote entities. This innovative technology enables users to identify and control services. Customers can benefit from the functional guidance. Therefore, the voice of customers is transmitted to manufacturers. The benefit and welfare that the IoT brings about are undeniable; on the other hand, there are some challenges to apply IoT. The main objective of this study is to reveal the usability challenges of IoT in developing countries through a detailed literature survey.
Physical-Cyber-Social Computing involves the integration of observations from physical sensors, knowledge and experiences from cyber systems, and social interactions from people. This will allow machines to understand contexts, correlate multi-domain data, and provide personalized solutions by leveraging background knowledge spanning physical, cyber, and social domains. Semantic computing plays a key role in bridging differences between domains to derive insights. The vision is for systems that can proactively initiate information needs with minimal human involvement.
The document proposes an e-health care solution using touchscreen kiosks in Bangladesh. It would be implemented in three phases: 1) The elementary phase provides basic health information through kiosks. 2) The intermediate phase adds diagnostic devices to kiosks like blood pressure monitors and ECG machines. 3) The advanced phase enables remote consultations with doctors through kiosk networks. The proposal details hardware requirements and budgets for setting up the kiosks in the elementary and intermediate phases to improve healthcare access nationwide.
Knowledge-Centric Paradigm: A New World of IT SolutionsEd Dodds
The document discusses the potential of a knowledge-centric paradigm for government IT solutions. It outlines 10 realities of a knowledge-based world, and describes three approaches to knowledge-centric services: citizen-centric systems that know, advanced analytics systems that learn, and smart operations systems that reason. It also summarizes an agenda for a leadership symposium focusing on clarifying goals, mobilizing support and taking action for networked government.
IRJET- Magnetic Resonance Imaging (MRI) – Digital Transformation Journey Util...IRJET Journal
This document discusses the digital transformation of Magnetic Resonance Imaging (MRI) scanning using intelligent technologies like edge computing, IoT, machine learning, and data analytics. It proposes a methodology to analyze MRI scan data using these technologies to more precisely predict diseases and enable early intervention. The methodology involves collecting MRI and patient data using edge devices, processing the data using machine learning algorithms to classify features, training a model, and evaluating the model to increase accuracy of disease prediction. Adopting these intelligent technologies can help optimize healthcare operations by improving efficiency, reducing costs, and enhancing patient experience.
Big data analytics and its impact on internet usersStruggler Ever
Big Data Analytic tools are promising techniques for a future prediction in many aspects of our life. The need for such predictive techniques has been exponentially increasing. even though, there are many challenges and risks are still of concern of researchers and decision makers, the outcome from the use of these techniques will considerable revolutionize our world to a new era of technology.
Knowledge Will Propel Machine Understanding of Big DataAmit Sheth
1) Amit Sheth presented on how knowledge can help machines better understand big data.
2) He discussed challenges like understanding implicit entities, analyzing drug abuse forums, and understanding city traffic using sensors and text.
3) Sheth argued that knowledge graphs and ontologies can help interpret diverse data types and provide contextual understanding to help solve real-world problems.
Internet of Things with Wearable Devices at Enterprise Radariosrjce
IOSR Journal of Mobile Computing & Application (IOSR-JMCA) aims to cover innovative topics to research findings to trends analysis on Mobile Computing and Application related theories, technologies, methods, applications, and services from all engineering, business and organizational perspectives
I made this presentation in my 7th semester of B.Tech as per academic curriculum.
Took help from several videos from youtube and studied some IBM publications.
Cognitive Era is at the dawn. It does not make machines intelligent but instead it allows them to develop cognisance and learn by themselves as we humans do.
I am fascinated and looking forward to contribute my existence in this great thought of almighty came into human mind.
Guys! You could get a nice introduction from this presentation and explain it to others and even it could be used for your academic homework.
Goodluck! GODSPEED!
From Smart Mobile Accessories to the Internet of ThingsTaly Weiss
In the last few months, smartphones have extended the traditional use of communication. Incorporating hardware as well as apps improves the functionality of the device (upgraded photo/video/audio capabilities). Smartphones today have become effective tools for monitoring (identifying locations of objects, keeping track of food preparation, health and fitness measurements, and even substitute expensive medical devices). These devices can now control local systems (temperature, home entertainment devices and transportation) and in the near future will be integrated with multi systems to allow individuals to better manage their life. Consumers already adopt basics behaviors needed for the "Internet of Things"
Over the past decade, cloud computing has acted as a disrupter in several areas of IT business. Soon, it will overhaul one area of technology that has been in rapid growth itself: Data Analytics. Nicky will focus on the recent study of IBM Institute of Business Value which shows that capabilities that enable an organization to consume data faster – to move from raw data to insight-driven actions – are now the key differentiator to creating value using data and analytics. He will also talk about the requirements for the underlying infrastructure as critical component allowing real-time crunching and analysis of high volume of data. Based on real cases like retailers and energy companies, we will look at five predictions in five years, based on:
Analytics, Big data, and Cloud coming together will energize the Speed Advantage.
The document discusses the benefits of Internet of Things (IoT) technology for the Muslim world. It describes how connecting physical assets through sensors can help monitor things like health, transportation, and resource usage. The data collected from these connected devices and sensors can provide insights and optimization opportunities. New business models are emerging around monetizing sensor data through "Sensing as a Service" where data is licensed to applications and organizations. The document advocates for building an IoT ecosystem in Malaysia as a testbed for connecting infrastructure and developing smart city applications.
This is a re-boot of a presentation originally given on the potential role of cloud infrastructure in healthcare delivery from eHealth Canada 2012.
Key concepts are the drivers of change in healthcare, how hospitals can protect themselves when using of cloud, the potential use of enterprise content management as part of healthcare delivery and the current models that we are seeing in Canada and the US.
Emerging technologies like smartphones, wearable devices, virtual reality, big data, and cloud computing are enabling a more connected global healthcare system. Smartphones provide personalized health information and tools like medical apps. Wearable devices allow for continuous, unobtrusive health monitoring. Virtual reality and 3D gaming can simulate real-world medical scenarios for education and training. Big data, machine learning, and cloud computing collectively support unlimited data storage, advanced analytics, and on-demand access and sharing of healthcare information on a global scale. These emerging technologies are helping to transition the world toward more informed, connected, and effective healthcare.
This document discusses how cognitive computing can help realize the full potential of the Internet of Things (IoT). It notes that while early IoT applications are providing value, the vast majority of data generated by IoT devices is currently unused. Cognitive systems that can learn from large amounts of structured and unstructured data have the potential to extract much more insights from IoT data and enable more advanced IoT applications. The document outlines some key foundations for a successful IoT strategy and argues that cognitive systems like IBM's Watson platform can help address the data challenges of IoT by facilitating deeper human engagement, continuous learning, predictive capabilities, knowledge sharing and optimization of complex systems.
The document provides an overview of Intel's vision for harnessing mobile health and government technologies. It discusses four imperatives: embracing cloud computing, enabling analytics infrastructures, becoming smart through IoT, and focusing on security. The document also outlines lessons from successful mHealth programs, standards-based architectures, and the growing market for telehealth and wearable devices.
Connected Products for the Industrial WorldCognizant
This document discusses connected products and industrial ecosystems. It begins by explaining that manufacturers can leverage connected product ecosystems to create new business models, improve operations, and design better products aligned with customer needs. It then explores the opportunities and challenges of adopting product-centric connected ecosystems. The key elements of connected ecosystems are hardware, networks, data management, and intelligence/interaction. Connected ecosystems generate value through operational improvements, product innovation, enhanced customer experience, and new business models. However, challenges include issues around data ownership and control within these complex multi-stakeholder ecosystems.
Smart Data for you and me: Personalized and Actionable Physical Cyber Social ...Amit Sheth
Featured Keynote at Worldcomp'14, July 2014: http://www.world-academy-of-science.org/worldcomp14/ws/keynotes/keynote_sheth
Video of the talk at: http://youtu.be/2991W7OBLqU
Big Data has captured a lot of interest in industry, with the emphasis on the challenges of the four Vs of Big Data: Volume, Variety, Velocity, and Veracity, and their applications to drive value for businesses. Recently, there is rapid growth in situations where a big data challenge relates to making individually relevant decisions. A key example is human health, fitness, and well-being. Consider for instance, understanding the reasons for and avoiding an asthma attack based on Big Data in the form of personal health signals (e.g., physiological data measured by devices/sensors or Internet of Things around humans, on the humans, and inside/within the humans), public health signals (information coming from the healthcare system such as hospital admissions), and population health signals (such as Tweets by people related to asthma occurrences and allergens, Web services providing pollen and smog information, etc.). However, no individual has the ability to process all these data without the help of appropriate technology, and each human has different set of relevant data!
In this talk, I will forward the concept of Smart Data that is realized by extracting value from Big Data, to benefit not just large companies but each individual. If I am an asthma patient, for all the data relevant to me with the four V-challenges, what I care about is simply, “How is my current health, and what is the risk of having an asthma attack in my personal situation, especially if that risk has changed?” As I will show, Smart Data that gives such personalized and actionable information will need to utilize metadata, use domain specific knowledge, employ semantics and intelligent processing, and go beyond traditional reliance on ML and NLP.
For harnessing volume, I will discuss the concept of Semantic Perception, that is, how to convert massive amounts of data into information, meaning, and insight useful for human decision-making. For dealing with Variety, I will discuss experience in using agreement represented in the form of ontologies, domain models, or vocabularies, to support semantic interoperability and integration. For Velocity, I will discuss somewhat more recent work on Continuous Semantics, which seeks to use dynamically created models of new objects, concepts, and relationships, using them to better understand new cues in the data that capture rapidly evolving events and situations.
Smart Data applications in development at Kno.e.sis come from the domains of personalized health, energy, disaster response, and smart city. I will present examples from a couple of these.
This whitepaper discusses the challenges that enterprises face in developing applications for mobile devices. It argues that traditional enterprise IT systems are not well-suited for the mobile world, which demands 24/7 access, local context awareness, multimedia usage and social interactions. The paper proposes that a search-based application architecture using a search engine to index and provide access to enterprise data across systems can help enterprises build mobile applications that meet these needs in a scalable and responsive way. This architecture provides an independent data layer that ensures real-time, consolidated access to enterprise information from any mobile device.
Holly White Paper: Wearables to reduce technology based work stress. By Jenny HoHollySydney
At Holly we research into the digital future. We have an intern program that gives students the opportunity to research, develop and trial ideas to create something cool and inspiring.
IBM is at the dawn of a new era of cognitive computing that will transform how people live and work, just as previous computing revolutions have. Technologies like IBM's Watson computer demonstrate that machines can now understand natural language, learn from experience, and provide insights by accessing huge amounts of data. IBM aims to develop cognitive systems that can help humans better understand complex problems and make better decisions across many fields like healthcare, education, and government. This new generation of intelligent machines will require collaboration between technology companies and other organizations to fully realize the potential of cognitive computing.
In the recent years, Internet of Things (IoT) has acquired a remarkable attention. IoT projects a world where billions of smart, interacting things are able to offer various services to near and remote entities. This innovative technology enables users to identify and control services. Customers can benefit from the functional guidance. Therefore, the voice of customers is transmitted to manufacturers. The benefit and welfare that the IoT brings about are undeniable; on the other hand, there are some challenges to apply IoT. The main objective of this study is to reveal the usability challenges of IoT in developing countries through a detailed literature survey.
Physical-Cyber-Social Computing involves the integration of observations from physical sensors, knowledge and experiences from cyber systems, and social interactions from people. This will allow machines to understand contexts, correlate multi-domain data, and provide personalized solutions by leveraging background knowledge spanning physical, cyber, and social domains. Semantic computing plays a key role in bridging differences between domains to derive insights. The vision is for systems that can proactively initiate information needs with minimal human involvement.
The document proposes an e-health care solution using touchscreen kiosks in Bangladesh. It would be implemented in three phases: 1) The elementary phase provides basic health information through kiosks. 2) The intermediate phase adds diagnostic devices to kiosks like blood pressure monitors and ECG machines. 3) The advanced phase enables remote consultations with doctors through kiosk networks. The proposal details hardware requirements and budgets for setting up the kiosks in the elementary and intermediate phases to improve healthcare access nationwide.
Knowledge-Centric Paradigm: A New World of IT SolutionsEd Dodds
The document discusses the potential of a knowledge-centric paradigm for government IT solutions. It outlines 10 realities of a knowledge-based world, and describes three approaches to knowledge-centric services: citizen-centric systems that know, advanced analytics systems that learn, and smart operations systems that reason. It also summarizes an agenda for a leadership symposium focusing on clarifying goals, mobilizing support and taking action for networked government.
IRJET- Magnetic Resonance Imaging (MRI) – Digital Transformation Journey Util...IRJET Journal
This document discusses the digital transformation of Magnetic Resonance Imaging (MRI) scanning using intelligent technologies like edge computing, IoT, machine learning, and data analytics. It proposes a methodology to analyze MRI scan data using these technologies to more precisely predict diseases and enable early intervention. The methodology involves collecting MRI and patient data using edge devices, processing the data using machine learning algorithms to classify features, training a model, and evaluating the model to increase accuracy of disease prediction. Adopting these intelligent technologies can help optimize healthcare operations by improving efficiency, reducing costs, and enhancing patient experience.
Big data analytics and its impact on internet usersStruggler Ever
Big Data Analytic tools are promising techniques for a future prediction in many aspects of our life. The need for such predictive techniques has been exponentially increasing. even though, there are many challenges and risks are still of concern of researchers and decision makers, the outcome from the use of these techniques will considerable revolutionize our world to a new era of technology.
Knowledge Will Propel Machine Understanding of Big DataAmit Sheth
1) Amit Sheth presented on how knowledge can help machines better understand big data.
2) He discussed challenges like understanding implicit entities, analyzing drug abuse forums, and understanding city traffic using sensors and text.
3) Sheth argued that knowledge graphs and ontologies can help interpret diverse data types and provide contextual understanding to help solve real-world problems.
Internet of Things with Wearable Devices at Enterprise Radariosrjce
IOSR Journal of Mobile Computing & Application (IOSR-JMCA) aims to cover innovative topics to research findings to trends analysis on Mobile Computing and Application related theories, technologies, methods, applications, and services from all engineering, business and organizational perspectives
I made this presentation in my 7th semester of B.Tech as per academic curriculum.
Took help from several videos from youtube and studied some IBM publications.
Cognitive Era is at the dawn. It does not make machines intelligent but instead it allows them to develop cognisance and learn by themselves as we humans do.
I am fascinated and looking forward to contribute my existence in this great thought of almighty came into human mind.
Guys! You could get a nice introduction from this presentation and explain it to others and even it could be used for your academic homework.
Goodluck! GODSPEED!
From Smart Mobile Accessories to the Internet of ThingsTaly Weiss
In the last few months, smartphones have extended the traditional use of communication. Incorporating hardware as well as apps improves the functionality of the device (upgraded photo/video/audio capabilities). Smartphones today have become effective tools for monitoring (identifying locations of objects, keeping track of food preparation, health and fitness measurements, and even substitute expensive medical devices). These devices can now control local systems (temperature, home entertainment devices and transportation) and in the near future will be integrated with multi systems to allow individuals to better manage their life. Consumers already adopt basics behaviors needed for the "Internet of Things"
Over the past decade, cloud computing has acted as a disrupter in several areas of IT business. Soon, it will overhaul one area of technology that has been in rapid growth itself: Data Analytics. Nicky will focus on the recent study of IBM Institute of Business Value which shows that capabilities that enable an organization to consume data faster – to move from raw data to insight-driven actions – are now the key differentiator to creating value using data and analytics. He will also talk about the requirements for the underlying infrastructure as critical component allowing real-time crunching and analysis of high volume of data. Based on real cases like retailers and energy companies, we will look at five predictions in five years, based on:
Analytics, Big data, and Cloud coming together will energize the Speed Advantage.
The document discusses the benefits of Internet of Things (IoT) technology for the Muslim world. It describes how connecting physical assets through sensors can help monitor things like health, transportation, and resource usage. The data collected from these connected devices and sensors can provide insights and optimization opportunities. New business models are emerging around monetizing sensor data through "Sensing as a Service" where data is licensed to applications and organizations. The document advocates for building an IoT ecosystem in Malaysia as a testbed for connecting infrastructure and developing smart city applications.
This is a re-boot of a presentation originally given on the potential role of cloud infrastructure in healthcare delivery from eHealth Canada 2012.
Key concepts are the drivers of change in healthcare, how hospitals can protect themselves when using of cloud, the potential use of enterprise content management as part of healthcare delivery and the current models that we are seeing in Canada and the US.
Emerging technologies like smartphones, wearable devices, virtual reality, big data, and cloud computing are enabling a more connected global healthcare system. Smartphones provide personalized health information and tools like medical apps. Wearable devices allow for continuous, unobtrusive health monitoring. Virtual reality and 3D gaming can simulate real-world medical scenarios for education and training. Big data, machine learning, and cloud computing collectively support unlimited data storage, advanced analytics, and on-demand access and sharing of healthcare information on a global scale. These emerging technologies are helping to transition the world toward more informed, connected, and effective healthcare.
This document discusses how cognitive computing can help realize the full potential of the Internet of Things (IoT). It notes that while early IoT applications are providing value, the vast majority of data generated by IoT devices is currently unused. Cognitive systems that can learn from large amounts of structured and unstructured data have the potential to extract much more insights from IoT data and enable more advanced IoT applications. The document outlines some key foundations for a successful IoT strategy and argues that cognitive systems like IBM's Watson platform can help address the data challenges of IoT by facilitating deeper human engagement, continuous learning, predictive capabilities, knowledge sharing and optimization of complex systems.
The document provides an overview of Intel's vision for harnessing mobile health and government technologies. It discusses four imperatives: embracing cloud computing, enabling analytics infrastructures, becoming smart through IoT, and focusing on security. The document also outlines lessons from successful mHealth programs, standards-based architectures, and the growing market for telehealth and wearable devices.
Connected Products for the Industrial WorldCognizant
This document discusses connected products and industrial ecosystems. It begins by explaining that manufacturers can leverage connected product ecosystems to create new business models, improve operations, and design better products aligned with customer needs. It then explores the opportunities and challenges of adopting product-centric connected ecosystems. The key elements of connected ecosystems are hardware, networks, data management, and intelligence/interaction. Connected ecosystems generate value through operational improvements, product innovation, enhanced customer experience, and new business models. However, challenges include issues around data ownership and control within these complex multi-stakeholder ecosystems.
Smart Data for you and me: Personalized and Actionable Physical Cyber Social ...Amit Sheth
Featured Keynote at Worldcomp'14, July 2014: http://www.world-academy-of-science.org/worldcomp14/ws/keynotes/keynote_sheth
Video of the talk at: http://youtu.be/2991W7OBLqU
Big Data has captured a lot of interest in industry, with the emphasis on the challenges of the four Vs of Big Data: Volume, Variety, Velocity, and Veracity, and their applications to drive value for businesses. Recently, there is rapid growth in situations where a big data challenge relates to making individually relevant decisions. A key example is human health, fitness, and well-being. Consider for instance, understanding the reasons for and avoiding an asthma attack based on Big Data in the form of personal health signals (e.g., physiological data measured by devices/sensors or Internet of Things around humans, on the humans, and inside/within the humans), public health signals (information coming from the healthcare system such as hospital admissions), and population health signals (such as Tweets by people related to asthma occurrences and allergens, Web services providing pollen and smog information, etc.). However, no individual has the ability to process all these data without the help of appropriate technology, and each human has different set of relevant data!
In this talk, I will forward the concept of Smart Data that is realized by extracting value from Big Data, to benefit not just large companies but each individual. If I am an asthma patient, for all the data relevant to me with the four V-challenges, what I care about is simply, “How is my current health, and what is the risk of having an asthma attack in my personal situation, especially if that risk has changed?” As I will show, Smart Data that gives such personalized and actionable information will need to utilize metadata, use domain specific knowledge, employ semantics and intelligent processing, and go beyond traditional reliance on ML and NLP.
For harnessing volume, I will discuss the concept of Semantic Perception, that is, how to convert massive amounts of data into information, meaning, and insight useful for human decision-making. For dealing with Variety, I will discuss experience in using agreement represented in the form of ontologies, domain models, or vocabularies, to support semantic interoperability and integration. For Velocity, I will discuss somewhat more recent work on Continuous Semantics, which seeks to use dynamically created models of new objects, concepts, and relationships, using them to better understand new cues in the data that capture rapidly evolving events and situations.
Smart Data applications in development at Kno.e.sis come from the domains of personalized health, energy, disaster response, and smart city. I will present examples from a couple of these.
The term Internet of Things (Often abbreviated IOT) was coined more than ten years ago by industry researchers but has emerged into mainstream public view only more recently. Some claim the Internet of Things will completely transform how computer networks are used for the next 10 or 100 years, while others believe Internet Of Things is hype that won't much impact the daily lives of most people.
This document discusses how embracing the Internet of Everything (IoE) model can provide benefits to B2B organizations. The IoE model extends existing IoT/IIoT models by placing humans at the center. This represents a shift that opens new opportunities by considering customer needs. IoE connects people, data, processes and things to provide timely and relevant information for improved decision making, customer experiences, innovation and productivity. Standards help ensure the collection and sharing of structured and consistent machine data across organizations.
Learning Objective: Discuss the upcoming trends of information technology
This seminar looks at the forefront of technology trends in the community for technology leaders. As a technology professional, staying on top of trends is crucial. Below is a list of technology topics that this seminar will cover.
1. Emergence of the Mobile Cloud
Mobile distributed computing paradigm will lead to explosion of new services.
2. From Internet of Things to Web of Things
Need connectivity, internetworking to link physical and digital.
3. From Big Data to Extreme Data
Simpler analytics tools needed to leverage the data deluge.
4. The Revolution Will Be 3D
New tools; techniques bring 3D printing power to masses.
5. Supporting New Learning Styles
Online courses demand seamless, ubiquitous approach.
6. Next-generation mobile networks
Mobile infrastructure must catch up with user needs.
7. Balancing Identity and Privacy
Growing risks and concerns about social networks.
8. Smart and Connected Healthcare
Intelligent systems, assistive devices will improve health.
9. E-Government
Interoperability a big challenge to delivering information.
10. Scientific Cloud Computing
Key to solving grand challenges, pursuing breakthroughs.
At the end of this seminar, participants will be able to:
a. Explore the multiple uses of the internet.
b. Identify ways that technology can make our society more productive.
c. Examine what we give up when we advance technologically.
Windows 10 IoT has the potential to empower people with disabilities by proposing a 3 part solution: 1) New sensors to remotely monitor children for conditions like snoring, 2) An integrated intelligence platform to track abilities using data from inputs, and 3) Connecting professionals to clients through Windows devices and apps. The proposal aims to use technologies like RFID, speech recognition, and data analysis to help identify disabilities earlier and help professionals better understand client needs. Microsoft should pursue opportunities in healthcare by providing an end-to-end IoT solution for industries and developing products that monitor conditions like snoring in children.
Introduction to Computer Fundamentals:
Overview of Computer Fundamentals: Definition, importance, and evolution of computers.
Computer Hardware: Central Processing Unit (CPU), memory (RAM and ROM), input and output devices, storage devices.
Computer Software: Operating systems, application software, programming languages. Computer Applications in Healthcare
This document discusses big data and why organizations should care about it. It defines big data as large volumes of diverse data that present challenges to analyze and extract value from. The world is generating much more data from sources like sensors, devices and digital content. Organizations that can analyze big data in real-time will have competitive advantages over those that cannot. The document provides examples of big data sources and opportunities it provides for different industries. Early adopters of big data technologies will be organizations already dealing with large data or those in industries experiencing rapid changes.
The document summarizes research on using predictive modeling to predict how well people perform specific exercises at the gym based on data from wearable sensors. It describes applying classification tree and random forest models to a dataset containing sensor data from participants performing bicep curls. Classification trees work by recursively splitting the data into partitions to predict the exercise class, while random forests create many classification trees and have the trees vote to make predictions. The models were able to accurately predict the exercise class based on the sensor data.
Marketing Plan for Motherese Mobile ApplicationSadhika Pant
A marketing plan for an IoT healthcare mobile application, Motherese: Intelligent Infant Care. This presentation was created during a marketing internship under the supervision of Prof. Sameer Mathur, IIM Lucknow.
In this presentation, I tried to succinctly discuss the future technology trends and explain how they can impact the healthcare industry. Also Business Transformation, as a key to tackle, has been discussed.
Implementation of application for huge data file transferijwmn
Nowadays big data transfers make people’s life difficult. During the big data transfer, people waste so
much time. Big data pool grows everyday by sharing data. People prefer to keep their backups at the cloud
systems rather than their computers. Furthermore considering the safety of cloud systems, people prefer to
keep their data at the cloud systems instead of their computers. When backups getting too much size, their
data transfer becomes nearly impossible. It is obligated to transfer data with various algorithms for moving
data from one place to another. These algorithms constituted for transferring data faster and safer. In this
Project, an application has been developed to transfer of the huge files. Test results show its efficiency and
success.
This document discusses how big data can enable the travel and tourism industries. It defines big data as large datasets characterized by their volume, velocity, variety, and veracity. Big data comes from a variety of sources as people leave digital traces online and through mobile technologies. The benefits of big data for businesses include improved customer experience personalization, optimized marketing and products, predictive analytics, and risk management. The big data market is expected to double from 2014 to 2018. Future developments include improvements in data processing, centralized data repositories, and analytics solutions in the public cloud to reduce costs and security risks. Big data can deliver business insights, innovation, better customer relationships, and continuously improved experiences for the tourism industry.
Staring with an brief overview of the changing role of the CIO between 2018 and 2020, then moving into the technology landscape, here are 10 use cases across the new three: AI, IoT and Blockchain (and in many cases an overlap of them)
Cristene Gonzalez-Wertz is the Leader for the IBM Institute for Business Value in Electronics as well as an alumni of IBM's Watson Group. She speaks on the intersection of technology, software, offerings, platforms and new business models.
Similar to IBM Smarter Planet Storage Solutions by John Webster, Evaluator Group - external (20)
This IBM Redpaper provides a brief overview of OpenStack and a basic familiarity of its usage with the IBM XIV Storage System Gen3. The illustration scenario that is presented uses the OpenStack Folsom release implementation IaaS with Ubuntu Linux servers and the IBM Storage Driver for OpenStack. For more information on IBM Storage Systems, visit http://ibm.co/LIg7gk.
Visit http://bit.ly/KWh5Dx to 'Follow' the official Twitter handle of IBM India Smarter Computing.
Learn how all flash needs end to end Storage efficiency. For more information on IBM FlashSystem, visit http://ibm.co/10KodHl.
Visit http://bit.ly/KWh5Dx to 'Follow' the official Twitter handle of IBM India Smarter Computing.
Learn about vSphere Storage API for Array Integration on the IBM Storwize family. IBM Storwize V7000 Unified combines the block storage capabilities of Storwize V7000 with file storage capabilities into a single system for greater ease of management and efficiency. For more information on IBM Storage Systems, visit http://ibm.co/LIg7gk.
Visit http://bit.ly/KWh5Dx to 'Follow' the official Twitter handle of IBM India Smarter Computing.
Learn about IBM FlashSystem 840 and its complete product specification in this Redbook. FlashSystem 840 provides scalable performance for the most demanding enterprise class applications. IBM FlashSystem 840 accelerates response times with IBM MicroLatency to enable faster decision making. For more information on IBM FlashSystem, visit http://ibm.co/10KodHl.
Visit http://on.fb.me/LT4gdu to 'Like' the official Facebook page of IBM India Smarter Computing.
Learn about the IBM System x3250 M5,.The x3250 M5 offers the following energy-efficiency features to save energy, reduce operational costs, increase energy availability, and contribute to a green environment, energy-efficient planar components help lower operational costs. For more information on System x, visit http://ibm.co/Q7m3iQ.
http://www.scribd.com/doc/210746104/IBM-System-x3250-M5
This Redbook talks about the product specification of IBM NeXtScale nx360 M4. The NeXtScale nx360 M4 server provides a dense, flexible solution with a low total cost of ownership (TCO). The half-wide, dual-socket NeXtScale nx360 M4 server is designed for data centers that require high performance but are constrained by floor space. For more information on System x, visit http://ibm.co/Q7m3iQ.
http://www.scribd.com/doc/210745680/IBM-NeXtScale-nx360-M4
The IBM System x3650 M4 HD is a (1) 2-socket 2U rack-optimized server that supports up to 32 internal drives and features an innovative design for optimal performance, uptime, and dense storage. It offers (2) excellent reliability, availability, and serviceability for improved business environments. The server is (3) designed for easy deployment, integration, service, and management.
Here are the product specification for IBM System x3300 M4. This product can be managed remotely.The x3300 M4 server contains IBM IMM2, which provides advanced service-processor control, monitoring, and an alerting function. The IMM2 lights LEDs to help you diagnose the problem, records the error in the event log, and alerts you to the problem. For more information on System x, visit http://ibm.co/Q7m3iQ.
Visit http://on.fb.me/LT4gdu to 'Like' the official Facebook page of IBM India Smarter Computing.
Learn about IBM System x iDataPlex dx360 M4. IBM System x iDataPlex is an innovative data center solution that maximizes performance and optimizes energy and space efficiency. The iDataPlex solution provides customers with outstanding energy and cooling efficiency, multi-rack level manageability, complete flexibility in configuration, and minimal deployment effort. For more information on System x, visit http://ibm.co/Q7m3iQ.
http://www.scribd.com/doc/210744055/IBM-System-x-iDataPlex-dx360-M4
The IBM System x3500 M4 server provides powerful and scalable performance for business applications in an energy efficient tower or rack design. It features the latest Intel Xeon E5-2600 v2 or E5-2600 processors with up to 24 cores, 768GB RAM, 32 hard drives, and 8 PCIe slots. Comprehensive systems management tools and redundant components help ensure high availability, while its small footprint and 80 Plus Platinum power supplies reduce data center costs.
Learn about system specification for IBM System x3550 M4. The x3550 M4 offers numerous features to boost performance, improve scalability, and reduce costs. Improves productivity by offering superior system performance with up to 12-core processors, up to 30 MB of L3 cache, and up to two 8 GT/s QPI interconnect links. For more information on System x, visit http://ibm.co/Q7m3iQ.
Learn about IBM System x3650 M4. The x3650 M4 is an outstanding 2U two-socket business-critical server, offering improved performance and pay-as-you grow flexibility along with new features that improve server management capability. For more information on System x, visit http://ibm.co/Q7m3iQ.
http://www.scribd.com/doc/210741926/IBM-System-x3650-M4
Learn about the product specification of IBM System x3500 M3. System x3500 M3 has an energy-efficient design which works in conjunction with the IMM to govern fan rotation based on the readings that it delivers. This saves money under normal conditions because the fans do not have to spin at high speed. For more information on System x, visit http://ibm.co/Q7m3iQ.
http://www.scribd.com/doc/210741626/IBM-System-x3500-M3
Learn about IBM System x3400 M3. The x3400 M3 offers numerous features to boost performance and reduce costs, x3400 M3 has the ability to grow with your application requirements with these features. Powerful systems management features simplify local and remote management of the x3400 M3. For more information on System x, visit http://ibm.co/Q7m3iQ.
Visit http://on.fb.me/LT4gdu to 'Like' the official Facebook page of IBM India Smarter Computing.
Learn about IBM System 3250 M3 which is a single-socket server that offers new levels of performance and flexibility
to help you respond quickly to changing business demands. Cost-effective and compact, it is well suited to small to mid-sized businesses, as well as large enterprises. For more information on System x, visit http://ibm.co/Q7m3iQ.
http://www.scribd.com/doc/210740347/IBM-System-x3250-M3
Learn about IBM System x3200 M3 and its specifications. The System x3200 M3 features easy installation and management with a rich set of options for hard disk drives and memory. The efficient design helps to save energy and provide a better work environment with less heat and noise. For more information on System x, visit http://ibm.co/Q7m3iQ.
http://www.scribd.com/doc/210739508/IBM-System-x3200-M3
Learn about the configuration of IBM PowerVC. IBM PowerVC is built on OpenStack that controls large pools of server, storage, and networking resources throughout a data center. IBM Power Virtualization Center provides security services that support a secure environment. Installation requires just 20 minutes to get a virtual machine up and running. For more information on Power Systems, visit http://ibm.co/Lx6hfc.
Visit http://on.fb.me/LT4gdu to 'Like' the official Facebook page of IBM India Smarter Computing.
Learn about Ibm POWER7 Virtualization Performance. PowerVM Lx86 is a cross-platform virtualization solution that enables the running of a wide range of x86 Linux applications on Power Systems platforms within a Linux on Power partition without modifications or recompilation of the workloads. For more information on Power Systems, visit http://ibm.co/Lx6hfc.
http://www.scribd.com/doc/210734237/A-Comparison-of-PowerVM-and-Vmware-Virtualization-Performance
This reference architecture document describes deploying the VMware vCloud Enterprise Suite on the IBM PureFlex System hardware platform. Key points:
- The vCloud Suite software provides components for managing and delivering cloud services, while the IBM PureFlex System provides an integrated hardware platform in a single chassis.
- The reference architecture focuses on installing the vCloud Suite management components as virtual machines on an ESXi host to manage consumer resources.
- The IBM PureFlex System provides servers, networking, and storage in a single chassis that can then be easily scaled out. This standardized deployment accelerates provisioning of cloud infrastructure.
- Deployment considerations cover systems management using IBM Flex System Manager, server, networking, storage configurations
Learn how x6: The sixth generation of EXA Technology is fast, agile and Resilient for Emerging Workloads from Alex Yost. Vice President, IBM PureSystems and System x
IBM Systems and Technology Group. x6 drives cloud and big data for enterprises by achieving insight faster thereby outperforming competitors. For more information on System x, visit http://ibm.co/Q7m3iQ.
http://www.scribd.com/doc/210715795/X6-The-sixth-generation-of-EXA-Technology
❽❽❻❼❼❻❻❸❾❻ DPBOSS NET SPBOSS SATTA MATKA RESULT KALYAN MATKA GUESSING FREE KA...essorprof62
DPBOSS NET SPBOSS SATTA MATKA RESULT KALYAN MATKA GUESSING FREE KALYAN FIX JODI ANK LEAK FIX GAME BY DP BOSS MATKA SATTA NUMBER TODAY LUCKY NUMBER FREE TIPS ...
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN CHART KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART
Adani Group's Active Interest In Increasing Its Presence in the Cement Manufa...Adani case
Time and again, the business group has taken up new business ventures, each of which has allowed it to expand its horizons further and reach new heights. Even amidst the Adani CBI Investigation, the firm has always focused on improving its cement business.
The report *State of D2C in India: A Logistics Update* talks about the evolving dynamics of the d2C landscape with a particular focus on how brands navigate the complexities of logistics. Third Party Logistics enablers emerge indispensable partners in facilitating the growth journey of D2C brands, offering cost-effective solutions tailored to their specific needs. As D2C brands continue to expand, they encounter heightened operational complexities with logistics standing out as a significant challenge. Logistics not only represents a substantial cost component for the brands but also directly influences the customer experience. Establishing efficient logistics operations while keeping costs low is therefore a crucial objective for brands. The report highlights how 3PLs are meeting the rising demands of D2C brands, supporting their expansion both online and offline, and paving the way for sustainable, scalable growth in this fast-paced market.
Efficient PHP Development Solutions for Dynamic Web ApplicationsHarwinder Singh
Unlock the full potential of your web projects with our expert PHP development solutions. From robust backend systems to dynamic front-end interfaces, we deliver scalable, secure, and high-performance applications tailored to your needs. Trust our skilled team to transform your ideas into reality with custom PHP programming, ensuring seamless functionality and a superior user experience.
63662490260Kalyan chart, satta matta matka 143, satta matka jodi fix , matka boss OTC 420, Indian Satta, India matka, matka ank, spbossmatka, online satta matka game play, live satta matka results, fix fix fix satta namber, free satta matka games, Kalyan matka jodi chart, Kalyan weekly final anl matka 420
Unlocking WhatsApp Marketing with HubSpot: Integrating Messaging into Your Ma...Niswey
50 million companies worldwide leverage WhatsApp as a key marketing channel. You may have considered adding it to your marketing mix, or probably already driving impressive conversions with WhatsApp.
But wait. What happens when you fully integrate your WhatsApp campaigns with HubSpot?
That's exactly what we explored in this session.
We take a look at everything that you need to know in order to deploy effective WhatsApp marketing strategies, and integrate it with your buyer journey in HubSpot. From technical requirements to innovative campaign strategies, to advanced campaign reporting - we discuss all that and more, to leverage WhatsApp for maximum impact. Check out more details about the event here https://events.hubspot.com/events/details/hubspot-new-delhi-presents-unlocking-whatsapp-marketing-with-hubspot-integrating-messaging-into-your-marketing-strategy/
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN CHART KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN CHART KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART
The Steadfast and Reliable Bull: Taurus Zodiac Signmy Pandit
Explore the steadfast and reliable nature of the Taurus Zodiac Sign. Discover the personality traits, key dates, and horoscope insights that define the determined and practical Taurus, and learn how their grounded nature makes them the anchor of the zodiac.
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN CHART KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN CHART KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART
Cover Story - China's Investment Leader - Dr. Alyce SUmsthrill
In World Expo 2010 Shanghai – the most visited Expo in the World History
https://www.britannica.com/event/Expo-Shanghai-2010
China’s official organizer of the Expo, CCPIT (China Council for the Promotion of International Trade https://en.ccpit.org/) has chosen Dr. Alyce Su as the Cover Person with Cover Story, in the Expo’s official magazine distributed throughout the Expo, showcasing China’s New Generation of Leaders to the World.
AI Transformation Playbook: Thinking AI-First for Your BusinessArijit Dutta
I dive into how businesses can stay competitive by integrating AI into their core processes. From identifying the right approach to building collaborative teams and recognizing common pitfalls, this guide has got you covered. AI transformation is a journey, and this playbook is here to help you navigate it successfully.
L'indice de performance des ports à conteneurs de l'année 2023SPATPortToamasina
Une évaluation comparable de la performance basée sur le temps d'escale des navires
L'objectif de l'ICPP est d'identifier les domaines d'amélioration qui peuvent en fin de compte bénéficier à toutes les parties concernées, des compagnies maritimes aux gouvernements nationaux en passant par les consommateurs. Il est conçu pour servir de point de référence aux principaux acteurs de l'économie mondiale, notamment les autorités et les opérateurs portuaires, les gouvernements nationaux, les organisations supranationales, les agences de développement, les divers intérêts maritimes et d'autres acteurs publics et privés du commerce, de la logistique et des services de la chaîne d'approvisionnement.
Le développement de l'ICPP repose sur le temps total passé par les porte-conteneurs dans les ports, de la manière expliquée dans les sections suivantes du rapport, et comme dans les itérations précédentes de l'ICPP. Cette quatrième itération utilise des données pour l'année civile complète 2023. Elle poursuit le changement introduit l'année dernière en n'incluant que les ports qui ont eu un minimum de 24 escales valides au cours de la période de 12 mois de l'étude. Le nombre de ports inclus dans l'ICPP 2023 est de 405.
Comme dans les éditions précédentes de l'ICPP, la production du classement fait appel à deux approches méthodologiques différentes : une approche administrative, ou technique, une méthodologie pragmatique reflétant les connaissances et le jugement des experts ; et une approche statistique, utilisant l'analyse factorielle (AF), ou plus précisément la factorisation matricielle. L'utilisation de ces deux approches vise à garantir que le classement des performances des ports à conteneurs reflète le plus fidèlement possible les performances réelles des ports, tout en étant statistiquement robuste.
KALYAN CHART SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART KALYAN CHART
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
IBM Smarter Planet Storage Solutions by John Webster, Evaluator Group - external
1. IBM Smarter Planet Storage Solutions
John Webster
February, 2011
Technology Insight Series
Eval u ato r Group
2. IBM Smarter Planet Storage Solutions
Copyright 2010 Evaluator Group, Inc. All rights reserved.
Copyright 2010, Evaluator Group, Inc. Page 1 of 9
3.
IBM Smarter Planet Storage Solutions
Executive Summary
IBM’s “Let’s Build a Smarter Planet” TV ads portray a vision of interconnected systems producing
actionable information in real time. The ad campaign is very much in keeping with core values IBM has
honed for decades.
In the beginning IBM manufactured computers for companies that, initially, didn’t know what to do with
them. So IBM had to first show them how to compute. IBM had to sell computing first before it could
sell computers. Smarter Planet builds on that legacy to draw attention to a fundamental way to use
computing in a business context for the 21st century—one that encompasses a myriad of sensory devices
and compute nodes all working within an “orchestrated” system of systems.
It’s a big picture message that IBM is fundamentally delivering in these ads: systems that harvest data
from a variety of wired and wireless sources are capable of producing new types of information and
solving some of humanity’s most important problems. And while these may feel futuristic even for
seasoned IT professionals, the technologies needed to turn the vision into reality (RFID, GPS, pattern
recognition, Complex Event Processing, and so on) are here and now. Pervasive Analytics is one term we
have seen that has been used to describe the integration of pervasive data sources with existing
business intelligence systems to produce useable information for a wide range of decision makers in real
or near‐real time1.
Here we examine a fundamental question for storage professionals: what possible role does storage
play on a “smarter planet?” In this paper, we show that pervasive data‐generating technologies are now
available, that emerging applications are harnessing them, and that there is a desire among business
executives across a broad range of industry segments to mine these applications for competitive
advantage in some cases, and for the well‐being of humanity in others. But, where does storage fit and
what roles do storage technologies play?
How real is Smarter Planet?
In a book by Chris Stakutis and John Webster entitled “Inescapable Data – Harnessing the Power of
Convergence,” published in 2005, the coauthors speak of developing new information sources – possibly
in real time – from the convergence of networked systems with pervasive, digital sensory and wireless
technologies including radio frequency identification (RFID), global positioning system (GPS), charge‐
coupled device (CCD) imaging, cellular telephony, and others. In 2004, most senior executives
interviewed for the book said they were aware of and understood the underlying technologies. Some
were moving ahead with initial projects. Now, there are many examples of pervasive information
systems built upon the successes of initial deployments.
Some examples from five years ago and today include:
1
From a paper entitled “The Analytics Revolution: Optimizing Reporting and analytics to Make Actionable
Intelligence Pervasive,” by David Loshin, Knowledge Integrity, Inc.
Copyright 2011, Evaluator Group, Inc.
Page 2 of 9
4. IBM Smarter Planet Storage Solutions
Healthcare
2004
The CEO of a major metropolitan teaching hospital described an ongoing pilot project that used RFID in
an operating room setting. Plastic patient bracelets contained RFID tags that were detected when the
patient was wheeled into the OR. The clinical system in the OR would immediately identify the patient,
verify the scheduled procedure, provide the clinicians with a checklist of equipment and medications
that needed to be in the OR at the beginning of the procedure, and have the patient’s medical history
available for immediate recall. RFID was also being used in another project where medication containers
were tagged so as to verify that a drug being administered to a patient was in fact one that had been
prescribed. The CEO reported that the reduction in the hospital’s insurance rates would more than pay
for these projects in the first year.
2010
Today healthcare providers are investing in a broad range of sensory devices and interconnected
systems to improve patient outcomes and do so cost effectively. With the median age of the US
population rising, the number of people at risk of chronic illness is the highest ever—a contributing
factor to rising healthcare costs. The healthcare industry is now beginning to use a variety of sensory
devices to empower self‐care, reduce the number of episodes that result in doctor visits and
hospitalization, and improve a patient’s sense of well‐being and morale2. These devices communicate
with a healthcare network, often via a home PC or laptop, or sometimes via a robot, to provide a
continuous communications link between patient and healthcare provider. Devices include:
• Wearable, wireless sensors and wireless‐enabled stationary devices (wireless‐connected
bathroom scales for example) that communicate with a laptop or robotic device in a home
environment that report blood pressure, weight, respiration, pulse, and other vital signs, daily
and sometimes hourly.
• Mobile and stationary robotic devices that can query patients every day confirm that
medications are taken when prescribed for example, and monitor the current state of a
patient’s condition.
• The wireless ePen – a pen used by the patient to complete a daily checklist. The results from
check‐off items (meals, exercise routines, emotional state, pain intensity, etc.) are transmitted
to a local data collection station (PC, laptop) connected to the healthcare network.
These devices and others are the endpoints of a network of systems that provides:
• Patient data aggregation points communicating with centralized healthcare systems
• Patient tracking, reporting, and alerting for clinicians and healthcare professionals in real time if
required
• Bidirectional communication between patients and providers
• Electronic patient records and historical patient data
2
Healthcare 2.0, a presentation made by Chris Stakutis at the Spring 2010 Storage Networking World conference,
Orlando ,FL.
Copyright 2010, Evaluator Group, Inc. Page 3 of 9
5.
IBM Smarter Planet Storage Solutions
As a result, patient outcomes can be dramatically improved simply by keeping them out of hospitals.
Practitioners can also analyze the resulting data across a broad patient population to see the
effectiveness of one treatment protocol compared with another.
Retail
2004
The CEO of a large metropolitan retail chain described a project that used wireless digital video cameras
to track the how shoppers moved around on a retail floor. The system’s primary application was to track
customer movements and count the number of customers as they entered and left a particular sales
area. Using this data, the company could better understand in‐store traffic patterns and optimize
product placement, optimize staffing levels throughout the day, and measure the impact of advertising
and special promotions.
2010
A business analytics system at Rooms to Go, an innovative nationwide furniture retailer, uncovers
market trends and customer buying behaviors to improve up‐sell and cross‐sell results. The system from
IBM integrates several regional transactional databases into a single enterprise data warehouse that
delivers comprehensive sales reports to help staff identify buying patterns, among other things. The
system increases sales by helping staff optimize floor planning, and reduces advertising costs by helping
staff target promotions to the most likely buyers. The system also helps the retailer’s buyers make
inventory purchase decisions based on relationships among the data rather than gut feel.
A Small Window on 2015
As pervasive information systems move forward, a new compute paradigm will be established—one that
leverages and places maximum value in the delivery of information in real time. It will not be enough to
know what has happened in the past or what may happen based on past events. Both organizations and
individuals will want to know what’s happening now, and to have the ability to make predictions based
on both what is happening now and what just took place a moment ago. The more the mechanics of real
time information delivery are understood, the more we will all want to use it.
Additionally, corporate executives will want to use these systems to eliminate inefficiency and waste to
the greatest extent possible. This will come as the result of the system integration work now being
driven by the emergence of cloud computing.
The technologies that will foster real‐time information delivery and increased efficiency are:
1. The continued delivery of systems performance increases driven by advances we can already
see in silicon chip processing and the possible commercialization of nano technology
Copyright 2011, Evaluator Group, Inc.
Page 4 of 9
6. IBM Smarter Planet Storage Solutions
2. Systems integration on a scale that is massive when compared to what is going on today. The
word we use to describe this integration effort is “cloud.” We may well be calling it something
different five years from now.
By 2015 we could well see the following:
In healthcare, the use of electronic patient records among healthcare providers is commonplace.
Massive system integration within the healthcare industry will give researchers the ability to perform
therapeutic studies in a fraction of the time now required. Advances in genomics will have reduced the
cost of recording an individual human genome to an affordable level. Treatment therapies will be
individualized and structured around a patient’s genome.
A growing list of retailers will likely offer patrons the ability to customize and streamline the shopping
experience. Customers can opt‐in to using a retailers system that understands their preferences, knows
their shopping histories, makes specially discounted offers based on preferences and previous
selections, knows what they have selected as they move around a retail space, and automatically
deducts funds from their accounts as they bypass the lines at the checkout counter. Customer can be
offered these incentives because of the underlying efficiencies that these new systems enable.
Most major metropolitan cities will have public safety systems similar the ones currently in use in
Chicago and London. In addition, these public safety systems will be integrated with law enforcement
systems at the state and federal government level. In spite of the fact that more that 50% of the US
population will live in a city, by 2015 cities will actually be safer places to live than suburban or rural
areas.
IBM’s Smarter Planet and Storage
For IT administrators that will be tasked with resolving storage architectural and management issues
that could arise, the question is: what impact will these projects and the technologies deployed to
support them have on the storage environment, both now and in the future?
One way to address this question is to first determine what attributes storage must present to these
converged data applications and then match these attributes to actual storage devices and systems. We
believe this approach is smarter for buyers than starting with a particular technology in mind and then
attempting to fit it to various application requirements. Regardless of the approach, the discussion
quickly gets to technology. Here, we use IBM’s storage product portfolio as a reference, since it
supports the important performance and scalability requirements and is used successfully in several
Smarter Planet deployments.
Pervasive information systems and applications are likely to require the following attributes of the
storage infrastructure:
Scalability
Depending on the application and the desired platform, IBM offers storage system scalability in multiple
dimensions. IBM’s DS8700 takes a more traditional scale‐up storage controller‐based approach. It scales
to 2 PB of tiered storage, and up to 32 internal controller processors to maximize I/O performance as
Copyright 2010, Evaluator Group, Inc. Page 5 of 9
7.
IBM Smarter Planet Storage Solutions
the number of external, server‐facing I/O ports increases on the front‐end and disk storage capacity is
added on the back‐end. IBM’s XIV system is a virtualized storage array that achieves scalability through
the addition of nodes within a grid framework, which adds more I/O performance and fault resilience
capabilities as capacity grows.
Given the sheer size of the data volumes in play for some applications, accessing data using block‐based
protocols is not efficient. Storage subsystems based on larger constructs than blocks such as data
objects the size of many blocks may be a better match for these “big data” applications. IBM’s Scale‐out
NAS (SONAS) can answer this requirement. Like XIV, SONAS also features a grid‐based architecture, but
divides the workload between interface nodes for I/O processing and storage nodes for managing access
to disk. Both interface and storage nodes can be scaled independently. SONAS supports up to 7.2 PB of
raw storage using 1 TB drives, and will scale to greater capacities as larger capacity drives are introduced
and incorporated.
Performance
The first RFID reference architecture proposed in 2003 prescribed a computational system supported by
a real‐time, in memory event database (RIED). Rotating disk is considered to be too slow for these types
of applications. However, server‐based memory is expensive and for some situations—a database that is
too large to fit into memory for example—flash‐based solid‐state disk (SSD) can outperform the highest
performance rotating disk by a wide margin. SSD is now generally available as a discrete storage tier
within a high‐performance disk system.
Storage systems are emerging that offer differing levels of performance to match the demands of
specific applications. Today, most storage systems integrate flash memory based SSD as a high‐
performance tier but, like server‐based memory, SSD can be an expensive alternative.
Currently, IBM offers two storage systems‐based approaches to SSD optimization. IBM Easy Tier
automatically migrates data based on the performance requirements of the application environment as
sensed by Easy Tier software residing in the storage system, and works at the sub‐LUN, or sub‐volume
level. With IBM’s SAN Volume Controller (SVC), configurations that support SSD and are used in
conjunction with IBM’s Tivoli Storage Productivity Center (TPC) to help IT administrators identify “hot
spots” within the disk systems attached to SVC and migrate data to SSD based on recommendations
made by TPC. TPC further assists this process by generating scripts to automate non‐disruptive data
movement under SVC.
Change Data Propagation using Data Copy Functions
Copies of data are often required. For example, a copy of a production database used with OLTP
systems may be needed for use in analytic processes. Storage‐based data copy functions can be used
here. IBM offers a number of these including:
SVC and DS8700 FlashCopy Copy‐on‐Write – This function creates the appearance of a copy of
data but improves efficiency by copying only data that is changed, usually a fraction of the total
data volume involved.
Copyright 2011, Evaluator Group, Inc.
Page 6 of 9
8. IBM Smarter Planet Storage Solutions
XIV Snapshots – A virtually unlimited number of point‐in‐time “pictures” of XIV‐based volumes
can be created using minimal additional storage for each “picture”.
SVC FlashCopy to different devices – A copy of data can be created on a different disk system
enabling storage used for a copy to be matched to the application using the copy. For example,
analytic processes may have very different performance requirements from OLTP applications
Efficiency
It is precisely because pervasive data sources can generate huge data volumes that storage
infrastructures need to be far more efficient than they are now. There are two ways to measure
efficiency in the context of Smarter Planet: management practices that reduce complexity and maximize
administrative effectiveness, and storage devices that optimize internal efficiency.
Disk storage virtualization, offered by IBM SVC and XIV, groups available storage into ‘pools’ that helps
address both measures: configuration of storage is less complex and, because applications share storage
in a pool, storage use is also better optimized.
SVC and XIV support ”thin provisioning”, which automatically allocates disk space to applications only as
needed. Thin provisioning eliminates the need to pre‐allocate disk for future growth and enables
acquisition of additional disk space as growth occurs.
SVC also makes it easier to pool together new and existing storage to support Smarter Planet
applications. Configuration and utilization of storage are improved, acquisition of new or replacement
storage can be reduced or delayed, and migration to new storage can be done without disruption to
applications.
Process improvements can also drive efficiency. IBM Storage Optimization and Integration Services uses
best practices and software to improve storage strategy, architecture, reporting, and operations.
Internal efficiency for backup storage targets can be optimized by implementing data deduplication
processes that eliminate redundancies among stored data objects (volumes, files, and blocks). IBM
ProtecTIER offers high throughput deduplication for both mainframe and open systems environments.
Tivoli Storage Manager includes client and server deduplication for disk storage pools.
Data protection
Smarter Planet applications can be particularly stressful on existing data protection processes. Data
volumes get larger given the sheer amounts of data being generated while traditional backup windows
get smaller and may in fact disappear. In addition, many of these applications are generating relatively
large data volumes at distributed sites (RFID‐enabled retail outlets for example). Storage administrators
have traditionally had difficulty protecting data at remote sites. Pervasive data applications only
exacerbate the problem. The situation calls for very new ways to approach data protection.
Two very different technologies—mirroring for continuous change data capture and data deduplication,
can enable the efficient protection of these data volumes. IBM Metro Mirror and Global Mirror, and
TSM FastBack technologies continuously capture only changed data, supporting near continuous
operations for systems that can’t be down for as long as it takes to perform a traditional recovery.
Copyright 2010, Evaluator Group, Inc. Page 7 of 9
9.
IBM Smarter Planet Storage Solutions
Data deduplication removes redundancies in the data to further reduce the amount of data managed.
When a backup is needed for recovery, it is “rehydrated” automatically upon restore to preserve the
original content. Data deduplication is able to dramatically decrease the amount of disk space required
for backup data when disk is used as a backup target, while retaining the significant performance
improvements that disk based backup devices have over tape.
Archiving, retention, and compliance
While data archiving solutions may seem to be the farthest thing away from delivering the new types of
information envisioned by Smarter Planet, they in fact are critical as well. It is not uncommon to find
organizations where “save everything forever” is the default policy for digital archiving. For Smarter
Planet applications, this practice is irrational and unsustainable. Needed here are functions, best
practices, and automated processes that make data retention manageable and can potentially turn
archival data into a meaningful source of information for operational business intelligence applications.
These include:
Active archiving software for email, file systems, SAP and other key applications that works by using
policies to identify older or less‐frequently used information and redirecting data to a more efficient
tiered storage environment.
Automated Tiering, which moves data from primary storage to archive storage, is implemented in IBM
Information Archive and Tivoli Storage Manager. Archive storage tiers can include high capacity SATA
disk, tape, non‐erasable non‐rewritable storage for compliance, and cascaded storage arrays that no
longer meet primary storage requirements.
Tape File Systems add new archival use cases for tape technology. Tape File Systems, such as IBM’s Long
Term File System for LTO‐5, allow users to access data on tape as if it were on disk, so data and the
applications that use it can stay in synch over time.
IBM Information Lifecycle Management Services uses best practices for data classification, tiered
storage implementation, content management, archive and retention to help customers better manage
information based on its business value.
Acquisition Alternatives
When budgeting for Smarter Planet projects, we believe that it is important to consider alternatives to
outright purchase such as equipment leasing, managed services and OPEX‐based project financing.
Why? These projects may require a significant commitment of both capital and human resources, but
typically reduce operating expenses sufficiently to justify the investment. Applying off‐balance sheet
financing alternatives to IT projects allows IT administrators to move projects forward as an operational
expense when the CFO wants to conserve capital. We also note that IT provisioning in general is moving
in the direction of new services delivery models as exemplified by the cloud computing structures that
are now emerging. Services are paid for as they are consumed, usually on a monthly basis. Payment for
the underlying infrastructure can also be made on a monthly basis and IBM Global Finance can be used
to structure the acquisition alternative for Smarter Planet projects.
Copyright 2011, Evaluator Group, Inc.
Page 8 of 9
10. IBM Smarter Planet Storage Solutions
Conclusion
Traditional data warehousing and business intelligence applications typically provide enterprises with an
analysis of the past because they are built upon data that represents past activity. And while these
applications have served and continue to serve decision makers, there no doubt exists a desire to
integrate and combine wired and wireless data sources into the data analytics‐based decision making
process such that actionable information is delivered in as close to real time as possible. We believe this
to be a fundamental objective of IBM’s smarter planet.
For customers to succeed with new implementations of pervasive information systems, we have very
briefly outlined what IBM storage technologies and services may be needed in the context of the new
data analytics models now emerging and how IBM delivers them. As one can see, some overlapping
capability does exist at a general level. For instance, the decision to use SSD for scale‐up application
acceleration or virtualization to avoid hot spots will depend on a number of factors, not the least of
which is what fits best with the existing environment. What IBM demonstrates is an ability to bring
these capabilities to bear on Smarter Planet projects for a wide range of use cases and customer
deployment scenarios.
Copyright 2010, Evaluator Group, Inc. Page 9 of 9