Saturday, 5 March 2016

Information Systems in Management - Internet of Things

 What is Internet of Things(IOT):
The Internet of Things (IoT) is a network of physical objects or "things" embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data.

IoT has evolved from the convergence of wireless technologies, micro-electromechanical systems (MEMS) and the Internet. The concept may also be referred to as the Internet of Everything. A thing, in the Internet of Things, can be a person with a heart monitor implant, a farm animal with a biochip transponder, an automobile that has built-in sensors to alert the driver when tire pressure is low -- or any other natural or man-made object that can be assigned an IP address and provided with the ability to transfer data over a network. So far, the Internet of Things has been most closely associated with machine-to-machine (M2M) communication in manufacturing and power, oil and gas utilities. Products built with M2M communication capabilities are often referred to as being smart. IoT term was first coined by British entrepreneur Kevin Ashton in 1999 making the statement that every object in the future will be cotrolled by electronic chips and is going to be connected to the internet where we can operate all the functions automatically literally without any human intervention. 

This is going to lead humans into a wonder land such that we see automatic garrage opening system, watering of plants whenever the ground sensors detect the inadequacy of ground water for plants to survive, low energy consumed automatic electronic productcs so on and so forth.  All these systems are being developed to make human life much more simpler to live in and one could be able to handle complex mechanisms with or without remote systems. Google’s innovation of driver less car, automatic car parking system etc come under the tree of IoT.
IoT is mainly classified into five types. They are:
·         smart wearable
·         smart home
·         smart city
·         smart environment and
·         smart enterprise
These smart products will be used by humans in the near future where technology is rapidly pacing with its rapid positioning power. Here is a small graph through which growth of IoT products being explained by CISCO, an IT and technology giant.


By 2020, it is estimated that the number of connected devices is expected to grow exponentially to 50 billion. The main driver for this growth is not human population; rather, the fact that devices we use every day (e.g., refrigerators, cars, fans, lights) and operational technologies such as those found on the factory floor are becoming connected entities across the globe. This world of interconnected things - where the humans are interacting with the machines and machines are talking with other machines (M2M) — is here and it is here to stay.
The Internet of Things (IoT) can be defined as "a pervasive and ubiquitous network which enables monitoring and control of the physical environment by collecting, processing, and analyzing the data generated by sensors or smart objects."
The concepts and technologies that have led to the IoT, or the interconnectivity of real-world objects, have existed for some time. Many people have referred to Machine-to-Machine (M2M) communications and IoT interchangeably and consider them one and the same. In reality, M2M can be viewed as a subset of the IoT. The IoT is a more encompassing phenomenon, which includes Machine-to-Human communication (M2H), Radio Frequency Identification (RFID), Location-Based Services (LBS), Lab-on-a-Chip (LOC) sensors, Augmented Reality (AR), robotics and vehicle telematics. Many of these technologies are the result of developments in military and industrial supply chain applications; their common feature is to combine embedded sensory objects with communication intelligence, running data over a mix of wired and wireless networks. In a broader context, the architecture encompasses the Internet of Things plus business engineering insights captured from the information transmitted by these so-called "smart objects." 

Concerns with IoT:
Concerns have been raised that the Internet of Things is being developed rapidly without appropriate consideration of the profound security challenges involved and the regulatory changes that might be necessary.  According to the BI (Business Insider) Intelligence Survey conducted in the last quarter of 2014, 39% of the respondents said that security is the biggest concern in adopting Internet of Things technology. In particular, as the Internet of Things spreads widely, cyber attacks are likely to become an increasingly physical (rather than simply virtual) threat. In a January 2014 article in Forbes, cybersecurity columnist Joseph Steinberg listed many Internet-connected appliances that can already "spy on people in their own homes" including televisions, kitchen appliances, cameras, and thermostats. Computer-controlled devices in automobiles such as brakes, engine, locks, hood and truck releases, horn, heat, and dashboard have been shown to be vulnerable to attackers who have access to the onboard network. In some cases, vehicle computer systems are internet-connected, allowing them to be exploited remotely.
Children and the Internet of Things:
Young people are the target of a range of policy initiatives designed to realise the benefits of new developments in the internet while minimising the potential risks. These are often developed, of necessity, in the absence of rigorous empirical data, making an informed assessment of access, attitudes, skills and uses essential. The key ideas that reveal the complex dynamic between online opportunities and online risks include:
·         Digital in/exclusion
·         Learning and literacy
·         Peer networking and privacy
·         Civic participation
·         Risk and harm
This research raises key questions regarding identity, literacy, privacy, participation and risk which are all key issues in relation to IoT developments.
Data capture, or Big Data, is a key starting point whilst considering the effects of the IoT on young people.





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ARTIFICIAL INTELLIGENCE







  



Artificial intelligence (AI) is the intelligence exhibited by machines or software. It is also the name of the academic field of study which studies how to create computers and computer software that are capable of intelligent behavior. AI research is highly technical and specialized, and is deeply divided into subfields that often fail to communicate with each other. The central problems (or goals) of AI research include reasoning, knowledge, planning, learning, natural language processing (communication), perception and the ability to move and manipulate objects. There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. The AI field is interdisciplinary, in which a number of sciences and professions converge, including computer science, mathematics,psychology, linguistics, philosophy and neuroscience, as well as other specialized fields such as artificial psychology.
Certain applications of AI are
·         Computer vision, Virtual reality and Image processing.
·         Diagnosis (artificial intelligence)
·         Game theory and Strategic planning.
·         Game artificial intelligence and Computer game bot.
·         Natural language processing, Translation and Chatterbots.
·         Nonlinear control and Robotics.

These applications are certainly useful in so many fields in different ways.
They are:
Computer science:
Time sharing, interactive interpreters, graphical user interfaces and the computer mouse, rapid development environments, the linked list data structure, automatic storage management, symbolic programming, functional programming, dynamic programming and object-oriented programming.
Finance:
Banks use AI systems to organize operations, invest in stocks, and manage properties, Fraud detection, simulated financial trading, to detect charges or claims outside of the norm, flagging these for human investigation.
Hospitals and Medicine:
This is a key area where AI is playing a crucial role in developing ultra modern technologies to detect and cure diseases, treat patients etc.  to organize bed schedules, make a staff rotation, and provide medical information and other important tasks.
Artificial neural networks are used as clinical decision support systems for medical diagnosis, such as in Concept Processing technology in EMR software.
Other tasks in medicine that can potentially be performed by artificial intelligence include:
·   Computer-aided interpretation of medical images. Such systems help scan digital images, e.g. from computed tomography, for typical appearances and to highlight conspicuous sections, such as possible diseases. A typical application is the detection of a tumor.
·   Heart sound analysis
·   Heavy Industries:
Robots have become common in many industries. They are often given jobs that are considered dangerous to humans. Robots have proven effective in jobs that are very repetitive which may lead to mistakes or accidents due to a lapse in concentration and other jobs which humans may find degrading. 
Interestingly, Japan is the leader in using and producing robots in the world. In 1999, 1,700,000 robots were in use worldwide.
Some of the other fields that use AI significantly are
·         Online telephone and customer service
·         Transportation
·         Telecommunication services and maintenance
·         Toys and games
·         Music
·         Aviation
·         News, publishing and writing
Various tools of artificial intelligence are also being widely deployed in homeland security, speech and text recognition, data mining, and e-mail spam filtering. Applications are also being developed for gesture recognition (understanding of sign language by machines), individual voice recognition, global voice recognition (from a variety of people in a noisy room), facial expression recognition for interpretation of emotion and non verbal cues. Other applications are robot navigation, obstacle avoidance, and object recognition.
Amazon is now planning to deliver orders through drones in remote locations using Artificial Intellegence.
Apple has recently aquired two Artificial Intellegence(AI) companies so as to deal with competitve advantage over other companies.





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