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FinalPPT-StJoseph (3).pptx

  1. Emerging Technology Trends in IT By: Dr. Ritu Ahluwalia Professor & Head Computer Science & Business Systems GGITS, Jabalpur
  2. Table of Contents • Introduction to Emerging Trends • Artificial Intelligence (AI) • Big Data • Internet of Things (IoT) • Cloud Computing • Augmented Reality & VR • Blockchains
  3. Introduction • ITAA (Information Technology Association of America)defined information technology as being the study, design, development, implementation, support and/or management of any computer based information system.
  4. Information Technology • Of many revolutions that have changed the world, it is Information Technology that rules the roost in the 21st century. • IT has led to complete metamorphosis of society. • Life without technology is paralyzed today.
  5. The new IT platform will enable the 4th wave of economicrevolution
  6. Emerging Technologies
  7. Industrial Intelligent Automation • Industrial Intelligent Automation will be enabled by IoT, Cognitive/AI, Analytics, Intelligent Machines and Assembly Lines, Robots and Robotics, Edge (Fog) Computing and Swarming Technology. • We are seeing an increased number of robots designed for industry specific applications.
  8. Contd… The future of farming involves robots and drones
  9. Intelligent Automated Transportation Systems Technologies such as IoT, Cognitive/AI, analytics, advanced vehicle communications, edge (fog) computing and swarming technology, will enable driverless on-demand vehicles… virtually eliminating accidents, reducing congestion and pollution, while increasing productivity.
  10. What will come?? The Future of Work will involve a partnership between humansand cognitive systems technology.
  11. Where are we headed The future (2040-50) IT platform will be very fast and optimizedfor distributed cloud-based cognitive applications. Characteristics: • Distributed / Edge Computing • Secure • Data as anAsset • Blockchain • Analytics • Cognitive • UX by Design • Very Fast a Zettascale computing (1021)?
  12. Agents in AI An AI system can be defined as the study of the rational agent and its environment. The agents sense the environment through sensors and act on their environment through actuators. An AI agent can have mental properties such as knowledge, belief, intention, etc.
  13. PEAS Representation P: Performance measure E: Environment A: Actuators S: Sensors PEAS representation for Driverless Car will be: Performance: Safety, time, legal drive, comfort Environment: Roads, other vehicles, road signs, pedestrian Actuators: Steering, accelerator, brake, signal, horn Sensors: Camera, GPS, speedometer, odometer, accelerometer, sonar. Can you give PEAS for – 1. Vacuum Cleaner 2. Part Picking Robot
  14. AI Machine Learning and Deep Learning…
  15. Data as the fuel of the future
  16. Artificial Intelligence endeavors to simulate the natural intelligence of human beings into machines, thus making them behave intelligently . ARTIFICIAL INTELLIGENCE (AI)
  17. ARTIFICIAL INTELLIGENCE (AI) The intelligent digital personal assistants like Siri, Google Now, Cortana, Alexa areall powered by AI.
  18. Blockchain A blockchain is a constantly growing ledger which keeps a permanent record of all the transactions that have taken place in a secure, chronological, and immutable way Ledger: It is a file that is constantly growing. Permanent: It means once the transaction goes inside a blockchain, you can put up it permanently in the ledger. Secure: Blockchain placed information in a secure way. It uses very advanced cryptography to make sure that the information is locked inside the blockchain. Chronological: Chronological means every transaction happens after the previous one. Immutable: It means as you build all the transaction onto the blockchain, this ledger can never be changed.
  19. Need of Blockchain
  20. 1. SENSORS and Actuators • We are giving our world a digital nervous system. Locating data using GPS sensors. Eyes and ears using microphones and cameras, along with sensory organs that can measure everything from temperature to pressure. Source:
  21. 2. CONNECTIVITY • These inputs are digitized and placed onto networks. Source:
  22. 3. PEOPLE and Processes • These networked inputs can then be combined into bidirectionalsystems that integrate data, people, processes and systems for betterdecision making. Source:
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  24. Contd … Source:
  26. What is Virtual Reality Virtual Reality (VR) is the illusion of a Three-Dimensional,Interactive, Computer-Generated Reality, where Sight, Sound, and sometimes even Touch are simulated to create Pictures, Sounds, and Objects that actually seem real.
  27. Why VR VR is able to immerse you in a Computer-Generated World of your own making: Room, City, The interior of Human body. With VR, you can explore any Uncharted Territory of the Human Imagination.
  28. Applications of VR 1. Entertainment and Movies :- • 360-Degree cameras or VR cameras, that have the ability to record in all directions. • VR cameras are used to create images and videos that can be viewed in VR. • The experience allows users to interact with the characters and worlds. Source:
  29. Contd… 2. Biological :- • Practice performing surgery. • Perform surgery on a remote patient. • Teach new skills in a safe, controlled environment Source:
  30. Contd… 3.GAMES :- • The use of graphics, sound and input technology in Video games can be incorporated into VR. •The VR Technology gives feedback through visual, auditory, haptic and other sensory systems. Source:
  31. Contd… 4. Education and Training :- • Provide learners with a Virtual environment where they can develop their skills without the real world consequences of failing. • The fully Immersive training environment allows to train through a wide variety of Terrains, situations and scenarios.. Source:
  32. Big Data Analytics
  33. Evolution Of Technology Source:
  34. Internet of Things(IoT) Source:
  35. Social Media Source:
  36. Other Factors Source:
  37. What is BIG DATA Source:
  38. Astonishing Growth of BIG DATA Today, every two days we create as much data as we did from the beginning of time untill 2000. • By 2020, the amount of digital information will have grown from around 5 zettabytes today to 50 zettabytes • Now a days, almost every action we take leaves a trial • We generate data whenever we go online, use our GPS- equipped smartphones, communicate our friends through social media or do online shopping Image source:
  39. 5 V’s of BIG DATA • 1. VOLUME Source:
  40. 2. VARIETY Source:
  41. 3. VELOCITY Source:
  42. 4. VALUE Source:
  43. 5. VERACITY Source:
  44. 5 V’s of BIG DATA
  45. BIG DATAAnalytics • Big Data collected by Smart Meter Source:
  46. How Smart Meter BIG DATA is Analyzed
  47. Hadoop: Solution to BIG DATA Problems
  48. CLOUD COMPUTING When it’s smarter to rent than to buy
  49. Cloud Computing Services
  50. Cloud Computing An environment created in a user’s machine from an on-line application stored on the cloud and run through a web browser. In simple language Cloud computing is using the internet to access someone else's software running on someone else's hardware in someone else's data center.
  51. Cloud Computing Services ►Software as a Service (SaaS)- End Users ►Platform as a Service (PaaS)- Application Developers ►Infrastructure as a Service (IaaS)-NetworkArchitects Source:
  52. Software as a Service(SaaS) • Just run it for me! • Also known as On-demand Service. • An application that can be accessed from anywhere on the world as long as you can have an computer with an Internet connection. • We can access this cloud hosted application without any additional hardware or G-mail, Yahoo mail, Hotmail etc.., • Also they can provide security features such as SSL encryption,a cryptographic protocol. Source:
  53. Platform as a Service (PaaS)- Application Developers • Give us nice API (Application Programming Interface) and take care of the implementation. • In the PaaS model, cloud providers deliver a computing platform and/or solution stack typically including operating system, programming language execution environment, database, and web server. • It is a platform for developers to write and create their own SaaS i.e. applications. which means rapid development at low cost. • E.g.:, Windows Azure etc. Source:
  54. Infrastructure as a Service (IaaS)- Network Architect • Also known as hardware as a service. • It is a computing power that you can rent for a limited period of time. • Allows existing applications to be run on a cloud suppliershardware. • Cloud providers offer computers – as physical or more often as virtual machines – raw (block) storage, firewalls, load balancers, and networks Source:
  55. Distributed vs. Grid vs. Cloud Parameters Distributed Grid Cloud Time Weeks to Months Days to Weeks Minutes Scalability Slowest, Rigid and Costly Slower, somewhat flexible, costly Instant, Flexible, Pay-per-usage Cost High CapEx Costly, sometime monthly/yearly contracts, no capEx No contracts, usage based, no upfront costs *Green* Low Low High- Virtualized Pricing Model Buy servers and pay fully whether used or not Rent servers and hosting cost whether used or not Rent based on usage only Source: