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Internet of Things


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In this presentation, Raghavi introduces the concept of IoT and discusses trends. Raghavi is interested in using data analytics to see what data is captured, analyze the importance and make business decisions.

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Internet of Things

  1. 1. Name : R. Raghavi E-mail : Twitter Id : @Raghavicham College :Sri Manakula Vinayagar Engineering College University : Pondicherry university Year : III Semester : VI Branch : Information Technology
  2. 2. Introduction  Internet of Things is “Things having identities and virtual personalities operating in smart spaces using intelligent interfaces to connect and communicate within social, environmental, and user contexts”.  Typically, IoT is expected to offer advanced connectivity of devices, systems, and services that goes beyond machine to machine communication(M2M) and covers a variety of protocols, domains, and applications.
  3. 3.  The interconnection of these embedded devices (including smart objects), is expected to usher in automation in nearly all fields, while also enabling advanced applications like a smart grid.  Things, in the IoT, can refer to a wide variety of devices such as heart monitoring implants, biochip transponders on farm animals, electric clams in coastal waters, automobiles with built-in sensors, or field operation devices that assist fire-fighters in search and rescue.
  4. 4. Trends  Digital convergence erodes boundaries  APIs become digital glue  Business takes ownership of process and intelligence  Sensors and devices drive ecosystems together  Infrastructure takes on engagement
  5. 5.  The IoT has a wide application range depending on the network type, scale, coverage, and user involvement.  To ensure familiarity rather than foisting IoT on consumers, companies are considering smartening their existing appliances with cheap wireless chips and sensors.
  6. 6. Interest Areas  Connectivity: The IoT doesn't work without the right type and scale of networks in place to connect the "things" with systems and software.  Analytics: The IoT is all about data. And the capture, store, collate, interpret, and share collected information to produce meaningful insights that can be translated into better products, services, and business results.
  7. 7. If provided an internship on above specified area, I intend to work with business units,  To understand the geographic range of the objects and devices being monitored; what kind of data they want to collect from the objects and devices; and how they expect that data to support products, services, and corporate decision-making processes.  To understand what data is most important, so you can prioritize what's to be captured, analyzed, and shared -- internally and with customers, partners, and the broader marketplace.
  8. 8. Thank you