Lesson-4-Emerging-Technology BY AAFREEN SHAIKH.pdf
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The document covers various emerging technologies, including the Internet of Things (IoT), cloud computing, artificial intelligence (AI), and 5G. It explains how IoT connects physical devices for data exchange, while cloud computing offers scalable IT resources through different models like IaaS, PaaS, and SaaS. AI is explored in terms of its applications and implications, including machine learning and digital assistants, and 5G is described as a high-speed cellular network technology enabling greater connectivity and reduced latency.
Lesson-4-Emerging-Technology BY AAFREEN SHAIKH.pdf
- 1. Index:- Different Emerging Technologies. ▪ Basics of Internet Of Things (IOT). ▪ Basics of cloud computing. ▪ Introduction to Artificial Intelligence (AI). ▪ Introduction to 5G. From:-- Miss Aafreen Shaikh CHHATRAPATI SHIVAJI JUNIOR SCIENCE COLLEGE JALGAON 1
- 2. Internet of Things (IoT): It is network of everyday things ( physical devices, vehicles, home appliances) embedded with electronics, software, sensors ,connectivity which enables these things to connect, collect and exchange data. Internet of Things refers to the rapidly growing network of connected objects that are able to collect and exchange data in real time using embedded sensors. Physical devices are connected to internet and they share and collect data. Remotely monitored and controlled. The term “Internet of Things” or IoT was first coined by Kevin Ashton in 1999. IOT devices can communicate and interact over the Internet, and they can be remotely monitored and controlled.
- 4. Efficient resource utilization : Due to known functionality and working of device we can increase efficient resource utilization Complexity: designing, developing, technology is quite complicated. Minimize human effort : devices interact and communicate with each other and do lot of task for us. Time saving : reduces the human effort , so saves out time. Enhance Data Collection : devices can collect data from environment like weather ,sound,pollution , and take decisions Improve security : can make home or office environment secure Disadvantages:- Privacy : without the active participation on the user, provides important personal data in maximum detail. maintaining and enabling the large
- 5. Smart lighting Smart thermostat o Smart locks and garage-do r openers Smart Security cameras Smart traffic signals
- 6. It provides on-demand network access to a shared pool of computing resources (network, servers, storage, applications) and releases services with service provider interaction. Cloud computing is the on-demand delivery of IT resources over the Internet. Use of remote servers on the internet to store , manage ,process data rather than Local server or on your PC Service providerreleases services
- 7. . • Not shared, of only one customer/organization • Data is protected behind the firewall. • Ex. Amazon VPC (Virtual Private Cloud) shared across multiple users, globally Ex. Amazon AWS, Google Cloud Platform. • Combines both private and public clouds elements • greater flexibility with security • Ex. VMware vCloud (Hybrid Cloud Services)
- 9. 1 In the IaaS model, the cloud provider manages IT infrastructures such as storage, server and networking resources, and delivers them to subscriber organizations via virtual machines accessible through the internet. 2 Instead of purchasing hardware outright, users pay for IaaS on demand. 3 Infrastructure is scalable depending on processing and storage needs. 4 Enterprises saves the costs of buying and maintaining their own hardware. 5 IaaS can have many benefits for organizations, such as potentially making workloads faster, easier, more flexible and more cost efficient. Examples : Amazon web services (AWS) ec2, Microsoft Azure VM, Google Compute Engine (GCE)
- 10. 🞂 platform-as-a-service (PaaS) is a form of cloud computing where an application software platform is provided by another party. Primarily for developers and programmers, 🞂 PaaS provides a platform with tools to test, develop and host applications in the same environment. 🞂 Enables organizations to focus on development without having a worry about underlying infrastructure. 🞂 Providers manage security, operating systems, server software and backups. 🞂 Facilitates collaborative work even if teams work remotely. 🞂 Ex:- Google Cloud, Microsoft Azure.AWS.IBM Cloud. 🞂 Red Hat OpenShift. 🞂 Oracle Cloud Platform (OCP)
- 11. 🞂 SaaS applications are sometimes called Web-based software, on-demand software, or hosted software 🞂 Software-as-a-service (SaaS) is a form of cloud computing that delivers a cloud application—and all its underlying IT infrastructure and platforms—to end users through an internet browser. It can be an ideal solution for large enterprises, small businesses or individuals that: 🞂 It uses by end user 🞂 SaaS vendors provide users with software and applications via a subscription model.
- 12. 🞂 Public cloud 🞂 Public cloud is open to all to store and access information via the Internet using the pay-per-usage method. 🞂 In public cloud, computing resources are managed and operated by the Cloud Service Provider (CSP). 🞂 Public cloud is maintained by the cloud service provider, so do not need to worry about the maintenance. 🞂 Example: Amazon elastic compute cloud (EC2), IBM Smart Cloud Enterprise, Microsoft, Google App Engine, Windows Azure Services Platform.
- 13. 🞂 Private Cloud 🞂 Private cloud is also known as an internal cloud or corporate cloud. 🞂 It is used by organizations to build and manage their own data centers internally or by the third party. 🞂 Private cloud provides a high level of security and privacy to the users. 🞂 The organization has full control over the cloud because it is managed by the organization itself. So, there is no need for the organization to depends on anybody.
- 14. 🞂 Hybrid Cloud 🞂 Hybrid Cloud is a combination of the public cloud and the private cloud. we can say: 🞂 Hybrid Cloud = Public Cloud + Private Cloud 🞂 Hybrid cloud is partially secure because the services which are running on the public cloud can be accessed by anyone, while the services which are running on a private cloud can be accessed only by the organization's users. 🞂 Example: Google Application Suite (Gmail, Google Apps, and Google Drive), Office 365 (MS Office on the Web and One Drive), Amazon Web Services.
- 15. 🞂 Artificial intelligence (AI) is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. 🞂 Artificial Intelligence is the ability of a computer program to learn and think. 🞂 In AI , machine sense their environment, perform calculation and do physical task either by themselves or under the direction of people.
- 16. 🞂 Machine Learning Machine learning is the concept that a computer program can learn and adapt to new data without human intervention. 2 Machine learning can be applied in a variety of areas, such as in investing, advertising, lending, organizing news, fraud detection, and more.
- 17. IaaS gives users access to storage, networking, servers and other computing resources via the cloud. Key features : Instead of purchasing hardware users pay on demand. Enterprises saves the costs of buying and maintaining their own. Infrastructure is scalable depending on processing and storage needs. Examples : Amazon web services, Google Compute Engine (GCE)
- 18. It offers access to a cloud-based environment in which users can develop, manage and deliver applications. tools to test, develop and host applications Key features : PaaS provides a platform with in the same environment. Allows organizations to focus on development. Manage security, operating systems, server software and backups. Facilitates collaborative work even if teams work remotely. Ex. Force.com, Google App Engine, Apache Stratos
- 19. It delivers software and applications through the internet , users accessed these applications through the web. Key features : Users do not have to manage, install or upgrade software; SaaS providers manage this. Data is secure in the cloud; equipment failure does not result in loss of data. Use of resources can be scaled depending on service needs. Applications are accessible from virtually anywhere in the world. Examples : Google's G suite, GitHub, SAP,Slack, Dropbox.
- 20. Cost saving : Cloud computing solutions are low-priced than the actual Infrastructure set up for the I.T services. Reliable : Cloud computing solutions are more reliable than I.T infrastructure. Internal Mobility : Cloud computing solutions are more movablebecause user can access data anytime, anywhere as required
- 21. Artificial intelligence (AI) is an area of computer science that highlights on creation of intelligent machines that work and react like humans. AI is different from robotics, in which machines sense their environment, perform calculations and do physical tasks either by themselves or under the direction of people.
- 22. Reduction in human error : gives 100% accuracy Digital Assistance : organizations use interact with customer for saving human chatbot digital assistants to resources. Example- Faster Decisions take decisions faster than a human and carry out actions quicker. Daily Applications : Apple’s Siri, Window’s Cortana, Google’s OK Google it is for searching a location, taking a selfie, making a phone call, replying to a mail etc.
- 23. High Costs of Creation- As environments are very complex the cost for overall set up. the machines used in AI based and high in price, it increases Unemployment- As AI is replacing the majority of the repetitive tasks and other works with robots. This will reduced human interference but cause a major problems in the employment standards.
- 24. 15 Machine learning :- used to find hidden patterns in data without being programmed to and draw a certain conclusion e.g gmail filtering Neural networks :-Just like human brain's neurons it transmit information between various units for finding connections and derive meaning from data. E.g ATM network Control Deep learning :-utilizes high neural network to find complex patterns in data, used in image and speech recognition . e.g. Housekeeping robot for Cognitive computing:- to interpret speech and respond to it creating a "natural, human-like interaction", e.g chatbot Computer vision:- Understanding digital images, video's and extraction of high dimensional data from real world it uses that information for taking decisions .e.g .Automated cardriving analyzing and Natural language processing :- involves understanding human language and responding to it e.g.Google language translator, spellchecker AI
- 25. 5G is the fifth generation of cellular network technology. providers is divided Digital cellular network:-is service area covered by into small geographical areas called cells. 5G is the next generation of wireless communications. Includes LAN,MAN,WAN,WWWW a variety of Carry very large amounts of data at a short distance:- use spectrum bands, millimeter wave , radio spectrum. etc The drawback of the higher frequencies : Easily obstructed by and even changes in the weather. the walls of buildings, trees and otherfoliage, 16
- 26. 17 5G • Support 1 million connected devicesper square kilometer • Provide upto 10 year battery life for low power IoT device 10 to 100x improvement over 4G and 4.5Gnetworks • 1-millisecond latency • Better connectivity • Uploading and downloading time speed is high • Less traffic • Ultra-high-definition (UHD) videostreaming • More clarity in video,Audio • Large Phone memory • More Dialingspeed • Usages Low power Ultra HD videos Reduced website Load time • Uses ultra wind Band network with higherBW • Data bandwidth is 10 to 50 GBPS • 90% energy reductionin network usages High speed Data transfer IoT based Applicatio ns Multiple time faster than 4G Reduced App Load time
- 27. Automated Vehicles. Virtual Classrooms Online 5G gaming
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