Why Analytics

The Internet of Things (IoT) is one of the greatest accomplishments of our time. While networking technologies have long been limited to connecting traditional end-user devices like desktops, laptops, and mainframes, today, it has expanded to include smart devices like smartphones, tablets, virtual assistants, and much more.  The concept of IoT revolves around sending and receiving information between devices, converting them into a set of data that can be utilized to make a decision. The IoT network comprises millions of connected devices, right from elaborate ones like smartphones to everyday items such as alarm clocks, fans, bulbs, security cameras, etc. According to Statista, by 2030, there’ll be around 50 billion IoT devices in use globally. Source IoT is pretty exciting. Imagine everything you’re using right now has the potential to utilise the Internet connectivity and function as an intelligent device that can operate itself or even communicate with you? It is an idea that has caught on and it isn’t stopping anytime soon.  IoT Analytics, a market research firm predicts IoT is expected to become a $1.6 trillion industry by 2025. The impact of IoT in different industries IoT technology has the potential to make an impact in many sectors. One of the most prominent being security. Identifying potential breaches is a significant demand for security firms. Real-time monitoring and diagnostics is another field where the internet of things technology is making a huge impact. Smart cities, smart energy, smart agriculture, smart retail are all employing IoT on a large scale. The Internet of things analytics has applications to all horizons and specializations. It is one of the most promising future skills, and now’s the time to master this skill if you wish to build a career in IoT. As an IoT expert, you can bring the internet, data analytics, and data processing under one umbrella, helping the various sectors to become technologically smart. You can start your IoT online course with Manipal Jigsaw today. With in-person faculty, placement support, and hands-on analytics experience, you can pioneer innovation in this field. IoT is at an infant stage right now. There are a billion possible outcomes of how we can connect physical objects to the internet. It is yet to reach the masses. Tesla or smart homes are still an option available for a few. With IoT, we can imagine a future filled with numerous possibilities. NASSCOM FutureSkills Prime understands the importance of acquiring digital fluency. Thus, it has coordinated with the Government of India to help India skill up in digital skills. IoT’s infancy is the very reason why you have a chance to be creative. Don’t wait to think - take a leap in your career and begin your IoT journey today! Contributed by: FutureSkills Prime FutureSkills Prime is the first of its kind public-private partnership, between MeitY and NASSCOM to build a digital skilling ecosystem for the citizens of India. Its mission is to reskill/upskill graduates and professionals in emerging technologies and professional skills, to make India a global digital talent nation in the next few years. FutureSkills Prime is committed to guiding and empowering the Indian professionals towards playing exciting, valued, and purposeful roles in a future that has significant possibilities, enabled by new-age digital technologies.

Introduction IoT has revolutionized modern technology with its seamless connectivity of devices under one umbrella. In this internet-driven world, which one is not an element of IoT? Our Smartwatches, mobile applications, laptops, iPads, Tablets, or electronic devices such as refrigerators, ACs, Digital locks, etc., are sending data to these IoT networks. These IoT systems are built upon various elements, features, layers, and their respective function. And at this post, we will take an in-depth look at the different perspectives of IoT layers in the IT infrastructure. Curious to know how IoT works? Let’s start with a simple definition for the working of IoT before moving further towards understanding the IoT layers. In this article we’ll explore: What is IoT?Elements of IoTIoT Layers Perception LayerConnectivity LayerEdge LayerProcessing LayerApplication LayerBusiness LayerSecurity Layer  What is IoT? To understand how IoT works, you must know what it is. Internet of Things (IoT) is an interconnected system of physical devices embedded with software and sensors to streamline information across the network via the internet. These IoT networks have shown exceptional data collection, analysis, reporting, and prediction behavior for integration into future planning. Though IoT is a trending technology with unlimited future potential yet, there are no single or a particular set of rules for the components of IoT. Various organizations have adopted features of IoT in their premises as several benefits have emerged from their integrations. Elements of IoT There are many technological aspects, layers, applications, and Components of IoT networks. But most of these IoT architectures are built upon core fundamentals. - Smarter Devices in a different form - Network and Gateway that allows devices to be part of the IoT - Middleware that includes data storage spaces and advances predicting capabilities - End-user applications IoT Layers These Elements of IoT define the fundamentals of almost every IoT system on the globe. Still, they are divided into multiple architecture layers to further refine the overall IoT network. These IoT layers are : Perception Layer that manages smart devices across the system.Connectivity/Transport Layer allows transferring data from the cloud to devices and vice-versa, different aspects of gateways and networks.Processing Layer that controls and manages IoT levels for streamlining data across the system.  Application Layer that aids in the procedures of analytics, device control, and reporting to end-users. With continuous changes in the IT environment, many organizations have added three additional layers to their infrastructure. Here is an IoT Block diagram showing the various stages of IoT architecture layers. Business layer that derives information and decision-making analysis from data.Security Layer that covers all aspects of protecting the whole IoT architectureEdge Computing Layer that works at an edge or near the device information collection. IoT Block Diagram for layers 1. Perception Layer  These IoT layers form the components of the internet physical design of IoT, acting as a medium between the digital and real world. In the IoT architecture layers, this perception layer has the main function of transforming analog signals into the digital form and vice versa. These come in a different multitude of shape and sizes with: Sensors: They are very small devices or systems built to understand and detect the change in their environment and further streamline information to their system. Generally, these sensors are quite small and take even less power to perform their task. Sensors have the unique ability to detect physical parameters such as humidity or temperature, then transforming them into electronic signals. Actuators: These represent a part of the machine that allows an electrical signal to be transformed into physical actions. These Actuators play a crucial role as components of IoT networks. Machine and Devices: They are the main devices that have actuators and sensors. In IoT architecture, there is no limitation of location or distance between two or more devices that can be spread across the globe. 2. Connectivity Layer Here in the second Connectivity layer, communication takes center stage between the physical layer of devices and IoT architecture. This communication takes place via two methods; First directly by either TCP or UDP/IP stack; Second, gateways act as a link between Local Area Network (LAN) and Wide Area Network (WAN), thus providing a path for information to pass through multiple protocols. So, which one element is not IoT? Several network technologies are integrated across IoT systems that include: WiFi, the most popular and versatile technique used across data-driven technologies. WiFi modems are suitable for Smart homes, personal offices, and even corporate offices for seamless communication between LAN and WAN, respectively. Ethernet represents the hardware that supports fixed or permanent devices such as video cameras, gaming consoles, and security installations. Bluetooth is another widely used technology suited mainly for communication between devices within a short range. A perfect example would be headphones that can work on small power and simultaneously share fewer data over the network. NFC (Near Field Communications) allows communication between a very short distance of 4 inches or less. LPWAN (Low Power Wide Area Network), designed and built to match the IoT usage across long distances. These low-power WAN devices can last as much as 10+ years while consuming low power throughout. However, it can send signals to give precise information over a long periodic duration. These include devices for smart buildings, smart fields, smart cities, etc. ZigBee is another advanced wireless networking technology that consumes low power and can offer small data-sharing ability. One of the unique features of IoT is its capability to handle up to 65,000 nodes in its premises. ZigBee is built with the main focus for home automation and also has shown remarkable success for medical, scientific, and industrial protocols.Cellular networks are ideally suited for communication on a global scale with more trust and reliability. For IoT, there are two broad IoT levels of the cellular network asLTE-M is Long Term Evolution for Machines that provides a very high-speed exchange of data and smooth direct cloud communication.NB-IoT as Narrowband that offers small data exchange using low-frequency channels respectively. There are also messaging protocols present in the IoT system that allows seamless data sharing. Here is a list of top protocols present in the IoT architecture layers as of now. Data Distribution Service (DDS) represents a machine-to-machine real-time messaging framework in IoT systems. Advanced Message Queuing Protocol (AMQP) provides server protocols for servers via peer-to-peer data exchange. Constrained Application Protocol (CoAP) defines the protocols for constrained devices that use low power and low memory, such as wireless sensors. Message Queue Telemetry Transport (MQTT) represents the messaging protocol standards for low-powered devices using TCP/IP for seamless data communication. 3. Edge Layer  In the early stages, with IoT networks gaining size and numbers, latency becomes one of the major hurdles. And when multiple devices tried connecting with the main center, it clogged the system delaying the procedure. Here edge computing offered a unique solution that accelerated the growth of IoT Systems overall. Now with the edge IoT layers, systems can process and analyze the information close to the source as much as possible. Edge has now become the standard for the 5th Generation of mobile networks (5G), offering systems to connect with more devices at a lower latency than the prevailing 4G standards. All the procedures for the IoT networks take place at the edge. Thus saving time, resources and further resulting in real-time reactions and improved performance. 4. Processing Layer IoT systems are designed to capture, store, and process data for further requirements in this layer. In the processing layer, there are two main stages. Data Accumulation Every device is sending millions of data streams across the IoT network. Here data comes in various forms, speeds, and sizes. Separating the essential data from these large streams is a primary concern that professionals must prioritize in this layer. Unstructured data in raw form such as photos and video streams can be quite enormous and must be done efficiently to gather intelligence factors for the business. Professionals must have a thorough understanding of the business procedures to pinpoint data requirements precisely and help procure future benefits. Data Abstraction Once the data accumulation stage is finished, selected data is taken out from the large data for application to optimize their business procedures. Here the data abstraction follows the path as: Collecting all the data from all IoT and non-IoT systems (CRM, ERP, & ERM)Using data virtualization to make data accessible from a single locationManaging raw data in multiple forms Interoperability among devices and architecture plays a crucial role in the processing layer. Once data accumulation and abstraction are complete, it is easy for data analysts to use business acumen in fetching intelligence factors.   5. Application Layer  In this layer, Data is further processed and analyzed to gather business intelligence. Here IoT systems get connected with middleware or software that can understand data more precisely. Some examples of the Application layer include: Business decision-making software’sDevice control and monitoring servicesAnalytics solutions built with Machine learning and Artificial IntelligenceMobile Application for further interactions Each IoT system is built with its particular goals and objectives to match with business specifications. At present, most of the IoT Applications are working at a varying complexity and operate a multitude of technology stacks performing specific tasks for businesses. 6. Business Layer Once IoT data is procured, it is valuable only if it applies to business planning and strategy. Every business has specific goals and objectives that it wants to accomplish by gathering intelligence from data. Business owners and stakeholders use data from past and present data to plan precisely for the future. Today Data analysis has become the new oil for industries to enhance their productivity. Businesses are competing to get more data into their business for analysis and decision-making. Here software, CRM, and business intelligence programs have gained a lot of popularity in industries for superior performance. 7. Security Layer  With modern challenges, security has become one of the main necessities of IT architecture. Data breach, tracking malicious software, and hacking are the main challenges with Security Layer in integrating IoT systems.   Device Security  The first point of security in the IoT layers starts with the devices themselves. Most of the manufacturers follow security guidelines to install in both firmware and hardware for IoT integration. Some of the essential measures are: Secure boot process to avoid any malicious code running on a deviceUsing Trusted Platform Module (TPM) chips in combination with cryptographic keys for devices endpoint protectionsExtra physical layer to avoid direct access via the deviceRegular updates for security patches Cloud Security Now Clouds are taking over from the traditional server for data storage and communication. Their data security is of paramount importance, especially for IoT systems. Mechanisms include multiple authorization factors and encryptions to avoid any data breach. Here the process of verifying any new device is an essential crux that must have strict regulations for device identity management. Connection Security While transferring data across the network, it must be encrypted from an end-to-end point across the IoT system. Here messaging protocols such as DDS, AMQP, and MQTT are integrated to secure sensitive information from any breach. The use of TSL cryptographic protocol is recommended industry standard across IoT architecture for data communication. Conclusion IoT is one of the emerging technologies in the global IT industry, as more businesses are shifting towards these futuristic solutions. Though elements of IoT form the core fundamentals for a comprehensive IT system, the IoT Layers lay down the path for the overall network’s success. Each layer has a specific scope and role that caters to solving the IoT complexity across the network. The Perception layer is responsible for converting signals from analog to digital and vice-versa, the Connectivity layer for easing data transformation, and Edge for lowering system latency. While the Processing layer refines the data, the Application layer analyses the data, the Business layer delivers intelligence solutions, and the Security layer makes sure to protect the data at any cost. For a small business, it can be quite challenging to work with IoT layers of systems. But, most of the top global organizations such as AWS, CISCO, IBM, Microsoft, etc., offer end-to-end solutions for businesses to integrate  features of IoT in their premises. They offer comprehensive device control and management, data encryption measures, and seamless transformation to the future IoT systems. So update yourself with all the features of IoT and how IoT works and stay one step ahead. Also Read What is IOT Security? An Important Guide In 4 Points

Introduction of IoT This article lets us understand the applications of IoT. The Internet of Things is not a mysterious hype anymore. It's a technology that has slowly gained momentum and is now silently shaping our future. IoT is the result of humankind's curiosity and intention to lead a convenient and connected lifestyle, reducing labor and eliminating the chances of human errors. That's why we decided to make devices smart and take care of things that will draw out efficiency. We've figured out that data is the new currency, and tons of crucial concerns can be addressed and resolved through data, and this is what drives the concept of the Internet of Things. By making the devices connected to each other and the internet, we've let them collect and communicate data and make precise and informed decisions through Machine Learning and Neural Networks (complex mechanisms). This step has achieved outstanding outcomes. Right now, as you read, there are billions of connected devices across the globe, collecting billions of petabytes of data every single day. These massive chunks of data are home to crucial pieces of information that can take care of home security, entertainment needs and go on to the extent of saving water and control fuel emissions. We have all had our experiences with IoT through smartphones, direct-to-home television services, smart televisions, and more. In case you haven't paid attention, here are some of the top ten uses of IoT that you could've missed. Check them out. Contents at a Glance Smart HomesSmart CitySelf-driven CarsIoT Retail ShopsFarmingWearablesSmart GridsIndustrial InternetTelehealthSmart Supply-chain Management List of Top 10 Applications of IoT 1. Smart Homes One of the best and the most practical applications of IoT, smart homes really take both, convenience and home security, to the next level. Though there are different levels at which IoT is applied for smart homes, the best is the one that blends intelligent utility systems and entertainment together. For instance, your electricity meter with an IoT device giving you insights into your everyday water usage, your set-top box that allows you to record shows from remote, Automatic Illumination Systems, Advanced Locking Systems, Connected Surveillance Systems all fit into this concept of smart homes. As IoT evolves, we can be sure that most of the devices will become smarter, enabling enhanced home security. 2. Smart City Not just internet access to people in a city but to the devices in it as well – that's what smart cities are supposed to be made of. And we can proudly say that we're going towards realizing this dream. Efforts are being made to incorporate connected technology into infrastructural requirements and some vital concerns like Traffic Management, Waste Management, Water Distribution, Electricity Management, and more. All these work towards eliminating some day-to-day challenges faced by people and bring in added convenience. 3. Self-driven Cars We've seen a lot about self-driven cars. Google tried it out, Tesla tested it, and even Uber came up with a version of self-driven cars that it later shelved. Since it's human lives on the roads that we're dealing with, we need to ensure the technology has all that it takes to ensure better safety for the passenger and those on the roads. The cars use several sensors and embedded systems connected to the Cloud and the internet to keep generating data and sending them to the Cloud for informed decision-making through Machine Learning. Though it will take a few more years for the technology to evolve completely and for countries to amend laws and policies, what we're witnessing right now is one of the best applications of IoT. 4. IoT Retail Shops If you haven't already seen the video of Amazon Go – the concept store from the eCommerce giant, you should check it out right away. Perhaps this is the best use of the technology in bridging the gap between an online store and a retail store. The retail store allows you to go cashless by deducting money from your Amazon wallet. It also adds items to your cart in real-time when you pick products from the shelves. If you change your mind and pick up another article, the previous one gets deleted and replaces your cart with the new item. The best part of the concept store is that there is no cashier to bill your products. You don't have to stand in line but just step out after you pick up your products from shelves. If this technology is effective enough to fetch more patronage, this is sure to become a norm in the coming years. 5. Farming Farming is one sector that will benefit the most from the Internet of Things. With so many developments happening on tools farmers can use for agriculture, the future is sure promising. Tools are being developed for Drip Irrigation, understanding crop patterns, Water Distribution, drones for Farm Surveillance, and more. These will allow farmers to come up with a more productive yield and take care of the concerns better. 6. Wearables Wearables remain a hot topic in the market, even today. These devices serve a wide range of purposes ranging from medical, wellness to fitness. Of all the IoT startups, Jawbone, a wearables maker, is second to none in terms of funding. 7. Smart Grids One of the many useful IoT examples, a smart grid, is a holistic solution that applies an extensive range of Information Technology resources that enable existing and new gridlines to reduce electricity waste and cost. A future smart grid improves the efficiency, reliability, and economics of electricity. 8. Industrial Internet The Industrial Internet of Things consists of interconnected sensors, instruments, and other devices connected with computers' industrial applications like manufacturing, energy management, etc. While still being unpopular in comparison to IoT wearables and other uses, market researches like Gartner, Cisco, etc., believe the industrial internet to have the highest overall potential. 9. Telehealth  Telehealth, or Telemedicine, hasn't completely flourished yet. Nonetheless, it has great future potential. IoT Examples of Telemedicine include the digital communication of Medical Imaging, Remote Medical Diagnosis & Evaluations, Video Consultations with Specialists, etc. 10. Smart Supply-chain Management Supply-chains have stuck around in the market for a while now. A common example can be Solutions for tracking goods while they are on the road. Backed with IoT technology, they are sure to stay in the market for the long run. Scope of IoT As you know, IoT is evolving and is being experimented with and used in tons of different ways than you can ever imagine. Some IoT examples can be Smart Breweries, Smart Coffee Machines, Smart Parking Facilities, Smart Supply-chain Mechanisms, and more. Lastly, let us have a quick glance at what the statistics say about the scope of the Internet of Things. As per Fortune Business Insights, the global Internet of Things market was valued at US$250.72 billion in 2019 and is anticipated to reach US$1,463.19 billion by 2027, expanding at a Compound Annual Growth Rate (CAGR) of 24.9 percent in the forecast period. Well, that pretty much speaks for itself. Beginners who have IoT as a career choice in mind might just be in luck. They can invest in a training program like Jigsaw Academy’s 12-week IoT Bootcamp program that offers in-person mentorship, hands-on project experience, personalized career support, and more! Also, If you are interested in making a career in the Data Science domain, our 11-month in-person Postgraduate Certificate Diploma in Data Science course can help you immensely in becoming a successful Data Science professional.  Also Read How to Apply Machine Learning to IoT Data?Uday Choudhary’s Experience in Building a Career in IoT Technology

The Internet of Things (IoT) is one of the greatest accomplishments of our time. While networking technologies have long been limited to connecting traditional end-user devices like desktops, laptops, and mainframes, today, it has expanded to include smart devices like smartphones, tablets, virtual assistants, and much more.  The concept of IoT revolves around sending and receiving information between devices, converting them into a set of data that can be utilized to make a decision. The IoT network comprises millions of connected devices, right from elaborate ones like smartphones to everyday items such as alarm clocks, fans, bulbs, security cameras, etc. According to Statista, by 2030, there’ll be around 50 billion IoT devices in use globally. Source IoT is pretty exciting. Imagine everything you’re using right now has the potential to utilise the Internet connectivity and function as an intelligent device that can operate itself or even communicate with you? It is an idea that has caught on and it isn’t stopping anytime soon.  IoT Analytics, a market research firm predicts IoT is expected to become a $1.6 trillion industry by 2025. The impact of IoT in different industries IoT technology has the potential to make an impact in many sectors. One of the most prominent being security. Identifying potential breaches is a significant demand for security firms. Real-time monitoring and diagnostics is another field where the internet of things technology is making a huge impact. Smart cities, smart energy, smart agriculture, smart retail are all employing IoT on a large scale. The Internet of things analytics has applications to all horizons and specializations. It is one of the most promising future skills, and now’s the time to master this skill if you wish to build a career in IoT. As an IoT expert, you can bring the internet, data analytics, and data processing under one umbrella, helping the various sectors to become technologically smart. You can start your IoT online course with Manipal Jigsaw today. With in-person faculty, placement support, and hands-on analytics experience, you can pioneer innovation in this field. IoT is at an infant stage right now. There are a billion possible outcomes of how we can connect physical objects to the internet. It is yet to reach the masses. Tesla or smart homes are still an option available for a few. With IoT, we can imagine a future filled with numerous possibilities. NASSCOM FutureSkills Prime understands the importance of acquiring digital fluency. Thus, it has coordinated with the Government of India to help India skill up in digital skills. IoT’s infancy is the very reason why you have a chance to be creative. Don’t wait to think - take a leap in your career and begin your IoT journey today! Contributed by: FutureSkills Prime FutureSkills Prime is the first of its kind public-private partnership, between MeitY and NASSCOM to build a digital skilling ecosystem for the citizens of India. Its mission is to reskill/upskill graduates and professionals in emerging technologies and professional skills, to make India a global digital talent nation in the next few years. FutureSkills Prime is committed to guiding and empowering the Indian professionals towards playing exciting, valued, and purposeful roles in a future that has significant possibilities, enabled by new-age digital technologies.