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Significant Impact of COVID-19 on Cellular IOT in ICT Industry

COVID-19 Impact on Cellular IOT in Information and Communication Technology Industry
The pandemic started with its epicenter in China in 2019 and has been continuously spreading by then to all over the world, so far 216 countries and territories have been affected with COVID-19, the U.S. being on the top with cases reaching about 4.38 million, followed by Brazil, India and then by many European countries such as Russia, Spain, Italy, and others. The COVID-19 cases reaching to the big named countries with strong dominance in the global market which has adversely affected the economy globally. The spread of the Corona virus has led to the global recession, many companies are being bound to take stringent actions of laying off their employees, small businesses are being shut, manufacturing facilities are being put on hold. There has been a disruption in the supply chain of many industries due to restrictions in logistics and the closing of manufacturing facilities. In addition, the slowdown in the economy has lowered the spending capability of individuals and people are saving money for emergencies. However, now almost in every country, the factories are started to reopen by taking some prevention such as 20% -50% employees on the field, social distancing, extreme hygiene measures, and others to support the economy. It is supporting the economy and helping to lower the recession rate at a certain level.
The pandemic has boosted the growth of the cellular IoT market. In response to the COVID-19 virus, many companies are moving towards working in a more virtual environment. This has placed a focus on organizations embracing collaboration tools and practices to support the virtual workplace. Organizations around the world are supporting the BYOD model (bring your device) to enable sales professionals to better serve their customers and prospects. Moreover, government mandate of work from home (WFH) policies has driven organizations to increasingly focus on more effective ways of engaging with customers in a remote working environment. Shifted focus towards work-from-home requires reliable connectivity and thus businesses will demand connectivity for monitoring and managing assets securely which in turn increases the demand for cellular IoT. The pandemic has exposed bottlenecks and inefficiency in the supply chains due to which businesses were leveraging cellular IoT for consignment and condition tracking to reduce revenue loss and improve product flow. Moreover, the broadband infrastructure all over the world upsurged due to a massive increase in video conferencing and video content streaming due to which cellular IoT becomes a key part of the new digitization era.
For instance,
· In June 2020, according to Telna whitepaper titled ‘The COVID-19 Impact on Cellular IoT’, new demand for cellular IoT following the pandemic could lead to over 11 billion cellulars IoT connections in the year 2025
The pandemic has boosted the digital transformation of industries; companies are focusing more on digital technologies to interact with their clients and customers. People are also more reliant on digital sources. The healthcare market is increasing rapidly in this pandemic. Cellular IoT (Internet of Things) in healthcare provides numerous opportunities that benefit both patients and businesses. It allows integrating and combining consumer and clinical data to create smarter and more meaningful connected consumer and care solutions and thus there has been increased o demand for cellular IoT in healthcare.
As industries continue to push the boundaries of wireless technologies, new opportunities are opening for service providers within cellular IoT connectivity. Moreover, it was observed that the gradual spike in demand observed was due to the shift of consumers from traditional platforms to online digital platforms. Also due to lockdown and Covid norms, digitization and automation have become mandatory for any business. Providers need cellular IoT to provide their customers excellent experience to boost sales during this pandemic period. Also, providers need cellular IoT to analyze crucial consumer data and to drive insights for providing enhanced and personal customers experience and formulate effective marketing strategies to overcome the losses.
The supply chain was adversely affected in the initial phase of the pandemic as lockdown prevailed in many regions globally, the government had limited the workers. Companies are making their operations work according to the government regulations by making limited workers work in different shifts. Industries were facing operational and supply chain disruptions, breakdowns, and labor shortages. Most cellular IoT providers have a large backlog of orders in hand due to chip shortages because of the disruption in the supply chain. However, now there is an improvement in the supply chain as most of the facilities and travel restrictions have opened and working in most optimum capacity. The companies are doing their best to meet the increasing demand.
For Instance,
· In May 2021, the chip shortage has affected the shipment volumes and profit margins of cellular IoT. Also, the global semiconductor shortage due to pandemic had affected some cellular module companies
As the COVID-19 crisis continues to expand, makers would possibly face challenges on varied fronts. Producing firms would be searching for immediate measures to stay their workforces safe and their businesses solvent. Makers would conjointly have to be compelled to look on the far side of their economic viability. Because the COVID-19 pandemic intensifies, makers would possibly face continued pressure on demand, production, and revenues. They’d continuously face cash-flow liquidity challenges and difficulties in managing debt obligations. The pandemic has boosted the growth of the cellular IoT market. Thus, developers and providers were focusing on strategic decisions like partnerships, acquisition, product launch, mergers, and collaborations to meet the increasing demand in the Covid outbreak.
For instance,
· In April 2021, Bharti Airtel launched Airtel IoT, an integrated platform that would enable enterprises to utilize the power of the Internet of Things and prepare for the emerging era of connected things. It provides with the capability to connect and manage various devices and applications
· In April 2019, AT&T launched its narrowband IoT (NB-IoT) network across the U.S., to complement its LTE-M network along with high-speed cellular coverage. Some of the IoT use cases include programs such as smart meters and location tracking, as well as connected street lights and smart appliances
Pandemic has taken a toll on every aspect of life, including the global economy. With the significant downfalls in many sectors, a collaborative effort of government, industry players, and consumers can win the fight against COVID-19.
It continues to inflict the world with appalling economic and social dilemmas, capable enough to leave severe backlash on the economy for the next several years. The first wave had already inflicted severe blows to the population as well as the economy. The currently experiencing second wave is expected to be more disastrous not only to the masses but also to ICT markets.
However, COVID-19 boosted the growth of the global cellular IoT market due to factors such as an increase in IoT connections, growing support from the government toward IoT initiatives, shift toward remote working, adoption of 5G network, surging networking budgets in countries, and ongoing development in wireless networking technologies.
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IOT in Manufacturing Market Demand, Industry Trends, Business Opportunities, And Forecast 2028
The increasing prominence of IoT refers to the expansion of internet connectivity to other physical devices and daily use objects which can be remotely monitored and controlled. It can transfer data over a network without any intervention or need of human. IoT in manufacturing can help the business to create a new business opportunity for manufacturing. It helps in the management of asset, workforce and inventory in an organization. Network control and management of manufacturing equipment, asset and situation management bring the IoT within the realm of industrial applications and smart manufacturing as well. The IoT intelligent systems enable rapid manufacturing of new products, active response to product demands, and real-time optimization of manufacturing production and supply chain networks, by networking machinery, sensors and control systems together. In short, IoT enhances the quality and quantity of manufacturing industry. To know the scope of our report get a sample on IOT IN MANUFACTURING MARKET DYNAMICS The increasing popularity of automated & intelligent technologies is leading to high production efficiency and reduced environmental impact, driving the IoT in the manufacturing market. The implementation of intelligent production and process management techniques in various production facilities adds up to efficiency. These parameters aid manufacturers to develop products at a higher speed and low costs, leading to investments in more competent tasks. These technologies allow manufacturers to gain insights into consumer preferences & develop products accordingly. Enhanced worker safety, customer service, and competitive advantages are compelling global manufacturers to adopt IoT technologies, creating a high demand. Owing to high market competition and end-user demand, manufacturers are more concerned with producing high volume and quality products. This, in turn, has led them to focus on core areas, such as production process, asset monitoring, and maintenance and support of assets in the factory. Using automation would enable manufacturers to reduce direct human labour costs and expenses, increase productivity, enhance consistency of processes or products, and deliver quality products. Industrial automation processes use control systems, such as computers or robots, to monitor and handle processes and machines. IoT plays an important role in enhancing the process of industrial automation in manufacturing industries. COVID 19 IMPACTS ON IOT IN MANUFACTURING MARKET During COVID-19 pandemic, the manufacturing industry is badly hit. The manufacturing slowdown in China has affected the manufacturing business in more than 15 countries due to country-wide lockdowns, strict international border controls, and social distancing measures for workers, and supply chain issues from China. According to The Economic Times, in March 2020, manufacturing companies operating in India, such as automakers, smartphone makers, consumer electronics firms, and appliance makers, have ordered factory shutdowns till the end of March 2020. Factory shutdowns could further lead to incalculable damages to the production of key products. The Economic Times also stated that in this extreme case of the complete shutdown of all factories for one month, it is estimated that the real manufacturing Gross Value Added (GVA) would fall by a sharp five per cent in Financial Year (FY) 2021. These factory shutdowns would avoid manufacturing firms to adopt IoT solutions; hence, negatively affecting the adoption of IoT solutions in the Indian manufacturing market. It is predicted that if the COVID-19 outbreak will persist for the next few months, the manufacturing sector is expected to be affected in the IoT industry. The potential unavailability of materials remains the greatest risk factor that is expected to directly impact the operations of automobile manufacturers. Although automakers can compensate for material shortage through other overseas factories, the process of capacity expansion and shipping of goods is still expected to create gaps in the overall manufacturing process. Hence, the COVID-19 outbreak has negatively impacted the overall operations of the manufacturing sector, which has reduced the growth of the IoT industry in the manufacturing sector. The potential unavailability of materials remains the greatest risk factor that is expected to directly impact the operations of automobile manufacturers. IOT IN MANUFACTURING MARKET SEGMENTAL OVERVIEW The report analyses the IoT in Manufacturing market based on component, platform, technology, services, application, vertical and geography. IOT IN MANUFACTURING MARKET BY COMPONENT The increasing consumption of various devices in the industrial IoT market deployed in various industries, such as manufacturing, retail, agriculture, automotive, and logistics, etc., is creating demand for hardware components. These include sensors, actuators, semiconductors, microcontrollers, and RFID, which act as a backbone for device development. These hardware devices facilitate major industrial functions such as information sensing and power management of the devices. Additionally, the emergence of cloud-based software platforms for various applications, such as data management, security, and remote monitoring, is creating the demand for software components. Moreover, the integration of smartphones, laptops, and handheld devices to manage the production & assembly line operations increases the implementation of such software, supporting the IoT in manufacturing market growth. IOT IN MANUFACTURING MARKET BY PLATFORM Smart surveillance segment is estimated to grow with the highest CAGR during the forecast period. The security and surveillance industry is changing, and solutions have moved from alarm monitoring to live video surveillance and other remote security features. These security features have increased the visibility for organizations that want to safeguard their people, assets, and buildings. IoT is helping create safer cities, homes, and businesses by enabling both private and public organizations to securely and remotely monitor facilities and public spaces in real-time with smart surveillance solutions. The security and surveillance solution has adequate intelligence to combat these types of threats. Have a Question Ask to Analyst @ The IoT based production systems consist of several devices that control & handle the production process and are essential to track, monitor, and maintain the device fleets. IoT devises management platforms provide monitoring and management of problems occurring in IoT devices such as routers, sensors, controllers, etc. The IoT platform vendors provide efficient device management in addition to the solutions. To eliminate the device obsolescence faced by manufacturing consumers, companies are developing enhanced device management solutions. These include modern app-specific device management platforms that work according to the device vendor ecosystem. For instance, Amazon developed the AWS IoT Device Management solution that offers a fast device onboarding, IoT device organization, and easy remote management of the devices. IOT IN MANUFACTURING MARKET BY TECHNOLOGY IoT in manufacturing market by technology is classified into sensors, RFID, connectivity technology. These systems became a need for the whole economy. RFID technology is mainly deployed in the retail and manufacturing sectors to support the inventory & supply chain integration. These devices are utilized in various manufacturing sites to keep track of the components, sub-assemblies, and finished stocks. They also track goods throughout the manufacturing & maintenance processes, ensuring proper functioning of the production tools & plants. By deploying RFID solutions, manufacturers can gain rapid ROI due to efficient functioning and less investment in employing labours for the same task. IOT IN MANUFACTURING MARKET BY SERVICE The global IoT in manufacturing services segment comprises professional services and managed services. The professional services segment offers comprehensive services by deploying the latest techniques and tools, skills, knowledge, and strategies to address an organization’s technology needs. Professional services support businesses of all size, including SMEs and large enterprises across verticals, and benefit both customers and service providers. The services segment involves outsourcing specific IoT manufacturing operations to a service provider. These services are focused on improving business operations and reducing unnecessary expenses and overheads. The professional services segment has been further segmented into IoT consulting services, system designing and integration services, IoT infrastructure services, support and maintenance services, and education and training services. In the global IoT in the manufacturing market, IoT consulting services are required for improvement of the shop floor, overhead streamlining, workforce organization, and overall performance management. Request For Report Customization @ IOT IN MANUFACTURING MARKET BY APPLICATION The machinery segment accounted for a majority chunk of the global market share and is expected to grow at the highest in upcoming years. Machine & equipment manufacturing companies deploy these solutions to monitor and support efficient operations of the modern automated production lines. However, these platforms perform various functions such as remote monitoring, tracking, and controlling of the production & assembly machinery. Due to the increased utilization of automation technologies in such manufacturing settings, companies are focusing on maintaining and saving operational & manufacturing costs. The increasing demand for technically equipped machines in all the industries, such as consumer electronics, automotive, etc., eliminate product issues and production errors in the machinery industry. Various components and technologies in the IoT-based solutions offer high control & management of the existing production infrastructure, further reducing labour requirement & costs. IOT IN MANUFACTURING MARKET BY VERTICAL The global IoT in manufacturing market by vertical comprises of two types that are process manufacturing and discrete manufacturing. The discrete industry is playing a leading role and it is concerned with the manufacturing and production of distinct units, such as automobiles, furniture, toys, smartphones, and aeroplanes. The discrete industry comprises a variety of verticals, such as automotive, machine manufacturing, semiconductor and electronics, medical devices, and logistics and transportation. The growth of IoT is leading to improvements in discrete manufacturing. For discrete manufacturers, IoT-enabled smart connected products provide a way to increase product functionality and generate additional value for customers. The adoption of IoT in manufacturing solutions provides discrete manufacturers with the data needed to better manage complex production cycles, leading to improved operations and profitability. IOT IN MANUFACTURING MARKET BY ORGANIZATION SIZE Organization size is segmented into two parts larger enterprises and SMEs. Large enterprises are witnessing an increased need to deploy IoT in manufacturing solutions and services to efficiently manage their large number of assets spread across geographies. The adoption of IoT in manufacturing solutions and services in large enterprises is high as compared to SMEs. The high adoption is due to the affordability and high economies of scale of large enterprises that enable organizations to leverage IoT in manufacturing solutions and services. In today’s highly competitive world, large enterprises particularly leave no stone unturned to capture a larger market share. Hence, large enterprises spend significant amounts on becoming technologically proficient. IOT IN MANUFACTURING MARKET BY GEOGRAPHY Geographically, the IoT in Manufacturing Market is studied across the countries of key regions such as, North America, Europe, Asia Pacific and Rest of the world regions which includes Latin America, and Middle East & Africa. North America is likely to hold the dominant position and is also expected to be the fastest-growing regional market in global IoT in Manufacturing Market during the forecast period. The advent of SMEs and the adoption digitization in manufacturing are expected to drive the growth of the market in North America. IOT IN MANUFACTURING MARKET KEY PLAYERS Some of the vital players operating in this market include Cisco (US), IBM (US), PTC (US), Microsoft (US), General Electric (US), SAP (Germany), Siemens (Germany), Huawei (China), Bosch.IO (Germany), Atos (France), HCL Technologies Limited (HCL), Intel (US), Oracle (US), Schneider Electric (France), Zebra Technologies (US), Software AG (Germany), Telit (UK), Wind River (US), ClearBlade (US), Litmus Automation (US), Uptake (US), HQSoftware (Estonia), Science Soft ( US), Mocana (US), and Impinj (US). Buy now IOT in Manufacturing Market Report
What will be the future for Data Science and Machine Learning?
The field of data science has a promising future ahead and so the importance of data science is emerging. This subject will continue to grow in relevance as firms become more data-centric and as they become more aware of the full significance and potential of the data they collect. Data scientists may make significant contributions to the creation of new goods and services through their analytical abilities. This only serves to increase their significance. There is a huge requirement to learn data science and machine learning as data scientists, data engineers, and data analytics are several career opportunities available that entail working with artificial intelligence. What is Data Science and how does it work? Data Science may be characterized as a multi-disciplinary tool that pulls insights from structured and unstructured data by using scientific techniques, procedures, algorithms, and systems to extract insights from data sources. Data Science is a technical term that refers to the integration of statistics, data analysis, and machine learning in order to comprehend and analyze real occurrences via data. Data Science's Long-Term Future Prospects According to a recent poll conducted by The Hindu, around 97,000 data analytics positions are now available in India owing to a scarcity of qualified candidates. Due to the widespread use of data analytics in practically every business, the number of positions in the field of data science increased by 45 percent in the previous year. E-commerce E-commerce and retail are two of the most important businesses that demand extensive data analysis at the most granular level possible. Because of the successful adoption of data analysis techniques, online retailers will be better able to anticipate consumer purchases, profit margins, and losses, and even influence people into purchasing items by watching their behavior. Manufacturing There are a multitude of reasons why data science is applied in the manufacturing industry. The most common applications of data science in manufacturing are to improve efficiency, reduce risk, and raise profit margins. Following the global financial crisis of 2008, the banking sector has seen unprecedented growth. Banks were among the first organizations to utilize information technology for business operations and security. Healthcare Every day, massive amounts of data are generated through electronic medical records, billing, clinical systems, data from wearables, and a variety of other sources. This creates a significant potential for healthcare practitioners to improve patient care by using actionable insights derived from past patient data. Of course, data science is responsible for making this happen. Transport The transportation business generates massive volumes of data on a regular basis, which is unparalleled. Ticketing and fare collecting systems, as well as scheduling and asset management systems, are used to gather the majority of the data in the sector. It is possible to get unparalleled insights into the development and management of transportation networks via the use of data science techniques. Job Positions in the Data Science Consider the following examples of Data Science employment positions that are now available. Jobs in data science for new graduates may include positions such as business analyst, data scientist, statistician, or data architect, among others. ● Big Data Engineer: Big data engineers are responsible for the development, maintenance, testing, and evaluation of big data solutions in businesses. ● Machine Learning Engineer: Machine learning engineers are responsible for the design and implementation of machine learning applications and algorithms in order to answer business difficulties. ● Data Scientist: Data scientists must be familiar with business difficulties and be able to provide the most appropriate solutions via data analysis and data processing. ● Statistician: The statistician analyses the findings and makes strategic suggestions or incisive forecasts based on the data visualization tools or reports that are generated. ● Analysts of data: Data analysts are engaged in the modification of data and the display of data. ● Business Analysts: Business analysts utilize predictive, prescriptive, and descriptive analytics to translate complicated data into actionable insights that are readily understood by their clients and colleagues. What role does Data Science have in shaping students' future career choices? As soon as they finish their upper secondary school, students find themselves at a fork in the road with several options. A considerable proportion of people who decide to pursue a career in science and technology do so via engineering programs at their respective universities. Engineering students often wonder whether they should pursue conventional engineering courses or if they should pursue one of the more recent engineering streams. Is it worthwhile to enroll in a Data Science course or not? What is the scope of Data Science and Machine Learning? In order to respond to this question, we provide the following responses: In fact, studying Data Science and analytics is worthwhile since there is a sky-high need for Data science workers in every area, and the demand will be too great to satisfy by 2025 if a sufficient number of Data science professionals do not enter the field. To be sure, it is possible if you believe you have an analytical bent of mind, a problem-solving approach, and the endurance to deal with large data sets. The demand is only going to increase in the future. By 2025, there will be a significant imbalance between the demand for qualified professionals and the supply of qualified experts. The IoT Academy is one such stage where you can find out about Data Science, Machine Learning, and IoT exhaustively. With devoted coaches at work, you can improve on the complicated cycles and try for a productive profession in those spaces. #Data science #Machine Learning #IoT
Why Are Mobile Applications Becoming Important?
Today mobile apps play an important part in people's daily lives. From productivity to business, social networking to entertainment there’s an app for all. It has changed the way we work and even how we socialize with others. They have also become an integral part of our daily routine, and entertainment, and provide numerous opportunities. As technology is growing the world of mobile apps will continue to grow, expand, and shape the future in ways we can just imagine. A mobile application is a software application that is developed for use on smartphones, tablets, and laptops. The apps are categorized according to whether they are web-based or native apps or hybrid apps. Mobile applications have altered the way we get information in the world or interact. They play a vital role in our personal and professional lives by providing unlimited benefits such as: 1. Enhanced Convenience: The mobile apps allow users to avail information and entertainment, on the go. Apps have made our lives easier you can order food, book flights, do online shopping, and many more. 2. Personalization: They can be customized to meet the specific needs of the user by providing them with a personalized experience. 3. Offline access: There are some mobile apps that can be used offline while also providing important features and information even when the internet connection is not available. 4. Push Notification: The mobile apps also send push notifications to provide real-time updates on important events. Improved Efficiency and Productivity: They streamline the process and improve efficiency in both personal and professional settings. The app, like a file manager, automates tasks and provides quick access to information and other utilities that help users accomplish tasks faster. 5. Social Connectivity: There are various apps that provide platforms to communicate, share experiences, and build various communities. There are apps such as messaging apps, social media apps, various dating apps, etc. that facilitate social connectivity. Your Takeaway These are all benefits that make mobile apps an important part of our daily lives, enhance efficiency, engagement, etc. Whether you use mobile apps for personal or business purposes, they play a significant role in allowing you to interact with technology and the world around you.
Top Ways RDCs are Helping to Reduce Food Waste in Australia
With winter on the horizon, businesses in Australia face the challenge of rising energy expenses, particularly related to heating. However, by adopting effective energy-saving measures, businesses can significantly reduce their winter power bills and achieve substantial savings. In this guide, we will explore top ways to save on your power bill this winter almost by $2000 or more. By optimizing heating systems, enhancing insulation, and promoting energy-conscious practices, businesses can create a more sustainable and cost-effective operation.  Let’s dive in and discover how businesses can save on winter heating expenses and improve their overall operations. Optimize Your Thermostat Settings Maintaining optimal thermostat settings is crucial for businesses seeking to reduce energy consumption and lower operating costs. By implementing smart temperature management strategies, businesses can achieve significant savings and improve overall energy efficiency. Here are some key considerations for optimizing thermostat settings in a business premise-  Set Temperature Zones Identify different temperature zones within your business premises based on occupancy and comfort requirements. For example, designate cooler temperatures for storage areas and warmer temperatures for customer spaces. This approach allows for targeted heating and cooling, ensuring energy is not wasted on unoccupied or less frequently used areas. Utilize Programmable Thermostats Invest in programmable thermostats that can automatically adjust temperature settings based on business hours and occupancy patterns. By programming setback periods during non-operating hours or weekends, businesses can avoid unnecessary heating or cooling when the premises are unoccupied. This can lead to substantial energy savings over time. Implement Temperature Setbacks During periods of reduced occupancy, such as after business hours or during weekends, consider implementing temperature setbacks. Lowering the thermostat by a few degrees during these periods can result in significant energy savings without compromising comfort. However, ensure that setbacks are balanced with the need for a comfortable working environment when employees or customers are present. Optimize Heating and Cooling Schedules Align heating and cooling schedules with business operations. Coordinate HVAC systems to start warming or cooling the premises shortly before employees and customers arrive. Similarly, schedule the system to adjust temperatures downward or upward prior to the end of operating hours. This strategy ensures a comfortable environment during business hours while minimizing energy waste during periods of inactivity. Regular Maintenance and Calibration Ensure that thermostats are properly calibrated and regularly maintained to maintain accurate temperature control. Inaccurate readings can lead to unnecessary heating or cooling, resulting in energy waste and increased costs. Regularly inspect and calibrate thermostats to ensure they are functioning optimally and providing accurate temperature control. Monitor and Analyze Energy Usage Leverage energy monitoring systems to track and analyze energy usage patterns in your business. By monitoring and analyzing data, businesses can identify trends, patterns, and potential areas for improvement. This information can guide future decision-making regarding thermostat settings, HVAC upgrades, and energy efficiency measures. Read More: Click here
Cloud Computing - Current Trends and recommended Network specifications
Krishna Jadhav Current Cloud Computing trends for future success As per Krishna Jadhav Today, high-volume data generation is no more considered rocket science or a theoretical assumption, with international companies using cloud computing for their data solutions (Gedeon et al., 2019). However, storing such enormous data volumes is still an eminent challenge, for which companies are often required to invest separately in storage security(Figure 1). With the majority of industries gradually shifting to Cloud, the latest trends for future success are: ● Increase in storage capacity ● Enhancement of Internet performance ● Prioritisation of modular software ● IoT and Cloud Computing Collaboration ● Future change prediction data ● Cloud Service improvement ● Security ● Economic accessibility  Figure 1: Networking in Computer Laboratories (Source: Ouda and Yas, 2021) Now more than ever, businesses seek creative methods to expand and achieve their objectives. This company will continue to expand in the future with the aid of cloud computing. Cloud computing is solid and vast, and it will continue to expand and give numerous benefits in the future. It is important to remember that the company's owner should be updated on the newest cloud technology developments (Teoh, Gill and Parlikad, 2021). As software as a service solution will handle more than 60% of the workload, several academics have demonstrated that cloud computing will be one of the leading technologies in the future. Figure 2: Design of network architecture using private cloud servers (Source: Ouda and Yas, 2021) Private cloud computing is a gradually emerging trend focusing on access management, applications management, and security management, with newer approaches to network, server, and computer specifications (Figure 2). Private cloud computing is a service that meets a company's needs through local and internet network access. Software as a Service is used in computer laboratories to make them better and easier to control (Figueroa-Lorenzo, Añorga and Arrizabalaga, 2019). Users of SaaS cannot arbitrarily install and update the software without getting the approval of the server, so there is no disruption of computer networks. Recommended network specifications ● Modular connection type RJ-45 Cat5 ● Star topology simplifies installing, wiring, finding problems, and removing components from a built-in network. ● Category 5 cable ● NETGEAR (48 port) switches with 10/100/1000 Mbps ports Figure 3: Server Specialisation recommendation (future prediction) (Source: Self-developed) Conclusion Krishna Jadhav concludes Access management is accomplished through a Secure Sockets Layer (SSL) certificate, which activates the HTTPS protocol and provides secure interactions between client and server. In conclusion, each account requires a username and password for login, requiring influential recommendation trends for service specialisation (Figure 3). Furthermore, each account has storage constraints and a maximum file size limit for uploading and downloading. To learn about Security Centre and Cloud Computing’s role in its, look forward to the next Article. Reference List Figueroa-Lorenzo, S., Añorga, J., and Arrizabalaga, S. (2019). A role-based access control model in modbus SCADA systems. A centralized model approach. Sensors, 19(20), 4455. Gedeon, J., Brandherm, F., Egert, R., Grube, T., and Mühlhäuser, M. (2019). What the fog? edge computing revisited: Promises, applications and future challenges. IEEE Access, 7, 152847-152878. Ouda, G. K., and Yas, Q. M. (2021, February). Design of cloud computing for educational centers using private cloud computing: a case study. In Journal of Physics: Conference Series (Vol. 1804, No. 1, p. 012119). IOP Publishing. Teoh, Y. K., Gill, S. S., and Parlikad, A. K. (2021). IoT and fog computing based predictive maintenance model for effective asset management in industry 4.0 using machine learning. IEEE Internet of Things Journal.
IoT Frameworks: A Comprehensive Guide to Choosing the Right Framework
Introduction: The Internet of Things (IoT) has revolutionized the way we live and work by connecting everyday objects to the internet. IoT frameworks are the backbone of the technology, allowing developers to build applications that interact with connected devices. There are numerous IoT framework available in the market, each with its own unique features and benefits. In this article, we will discuss the technical aspects, advantages, and disadvantages of some of the popular IoT frameworks. What is an IoT Framework? An IoT framework is a set of software components that provide a structure for developing IoT applications. These frameworks help developers to simplify the process of connecting devices, collecting data, and processing that data to provide actionable insights. An IoT framework typically includes a range of features such as device management, data storage, data analytics, and visualization. Types of IoT Frameworks Open-Source IoT Frameworks: Open-source IoT frameworks are free and provide developers with complete control over the software. Some of the popular open-source IoT frameworks include: a. Eclipse IoT: Eclipse IoT is an open-source IoT framework that provides a range of tools for developing IoT applications. It includes components such as Eclipse Kura, Eclipse SmartHome, and Eclipse Kapua. b. Thingsboard: Thingsboard is an open-source IoT platform that provides device management, data collection, and visualization capabilities. It also supports custom rule engines, real-time notifications, and alerts. Commercial IoT Frameworks: Commercial IoT frameworks are paid solutions that provide additional support, security, and maintenance. Some of the popular commercial IoT frameworks include: a. AWS IoT: AWS IoT is a cloud-based IoT platform that provides device management, data collection, and analytics capabilities. It supports a range of devices, including smart home devices, industrial sensors, and vehicles. b. Microsoft Azure IoT: Microsoft Azure IoT is a cloud-based IoT platform that provides a range of features such as device management, data storage, data analytics, and visualization. It also includes Azure IoT Edge, which enables edge computing capabilities for IoT devices. Technical Aspects of IoT Frameworks Device Management: IoT frameworks provide device management capabilities that help developers to manage the connected devices. This includes features such as device registration, device authentication, and device monitoring. Device management is a critical aspect of IoT frameworks, as it ensures that the devices are secure and reliable. Data Collection: IoT frameworks provide data collection capabilities that enable developers to collect data from connected devices. This includes features such as data ingestion, data storage, and data transformation. Data collection is a critical aspect of IoT frameworks, as it enables developers to extract actionable insights from the collected data. Data Analytics: IoT frameworks provide data analytics capabilities that enable developers to analyze the collected data. This includes features such as real-time analytics, machine learning, and predictive analytics. Data analytics is a critical aspect of IoT frameworks, as it enables developers to extract valuable insights from the collected data. Visualization: IoT frameworks provide data visualization capabilities that enable developers to visualize the collected data. This includes features such as real-time dashboards, charts, and graphs. Data visualization is a critical aspect of IoT frameworks, as it enables developers to communicate insights effectively. Advantages and Disadvantages of IoT Frameworks Advantages: a. Simplified Development: IoT frameworks simplify the process of developing IoT applications by providing a range of pre-built components and tools. b. Improved Security: IoT frameworks provide device management and security features that ensure that the devices are secure and reliable. c. Scalability: IoT frameworks are designed to handle large volumes of data and devices, making them suitable for large-scale IoT applications. Disadvantages: While there are several advantages to using IoT frameworks, there are also some potential disadvantages to consider: Limited flexibility: IoT frameworks may be designed to work with specific types of hardware or software, which can limit their compatibility and flexibility with other systems or devices. This can result in a lack of customization options or make it difficult to integrate new technology. Security concerns: IoT frameworks often involve the transmission and storage of sensitive data, such as personal or financial information. This data can be vulnerable to cyber attacks or data breaches, which can lead to significant financial and reputational damage for businesses. Technical expertise required: Developing and implementing an IoT framework can be a complex process that requires specialized technical knowledge and expertise. This can make it difficult for businesses with limited resources or technical capabilities to take advantage of the benefits of IoT technology. Cost: Implementing an IoT framework can be costly, particularly for businesses that need to invest in new hardware or software. Additionally, ongoing maintenance and updates may be required to ensure the framework remains effective and secure. Compatibility issues: IoT frameworks may not be compatible with all types of devices or software, which can make it difficult to integrate new technology or expand the system as needed. Dependency on third-party vendors: Many IoT frameworks are developed and supported by third-party vendors, which can result in a dependency on these companies for ongoing support and updates. This can be risky if the vendor goes out of business or discontinues support for the framework. Overall, while IoT frameworks can provide significant benefits for businesses, it's important to carefully consider the potential drawbacks and ensure that the chosen framework is appropriate for the organization's specific needs and capabilities. Types of IoT Frameworks: There are various types of IoT frameworks in the market, and they can be divided into the following categories: Platform as a Service (PaaS) Frameworks: These IoT frameworks offer an infrastructure and software platform for developing and managing IoT applications. PaaS frameworks allow developers to create IoT applications quickly and easily using pre-built templates and software components. Device Management Frameworks: Device management frameworks allow developers to manage IoT devices remotely. They provide the necessary tools for updating device firmware, managing device configurations, and monitoring device performance. Analytics Frameworks: Analytics frameworks offer tools for processing and analyzing data collected from IoT devices. These frameworks allow developers to visualize data, create predictive models, and perform other data analysis tasks. Connectivity Frameworks: Connectivity frameworks provide the necessary tools for connecting IoT devices to the cloud. These frameworks offer a range of protocols for data transmission, including Wi-Fi, Bluetooth, ZigBee, and others. Popular IoT Frameworks: Google IoT Core: Google IoT Core is a PaaS IoT framework that allows developers to create and manage IoT applications using Google Cloud services. It offers a range of features for device management, data analysis, and connectivity. AWS IoT Core: AWS IoT Core is a cloud-based IoT platform offered by Amazon Web Services. It offers a range of features for device management, data analysis, and connectivity, and is designed to work seamlessly with other AWS services. Microsoft Azure IoT: Microsoft Azure IoT is an IoT platform offered by Microsoft. It offers a range of features for device management, data analysis, and connectivity, and is designed to work seamlessly with other Microsoft services. IBM Watson IoT: IBM Watson IoT is an IoT platform offered by IBM. It offers a range of features for device management, data analysis, and connectivity, and is designed to work seamlessly with other IBM services. ThingsBoard: ThingsBoard is an open-source IoT platform that offers a range of features for device management, data analysis, and connectivity. It supports a wide range of devices and protocols and can be easily customized to meet specific requirements. Conclusion: IoT frameworks provide a comprehensive solution for building IoT applications with ease. With the right framework, mobile app developers can easily create robust, scalable, and secure IoT applications that can process and analyze data in real-time. However, it's important to note that no framework is perfect, and each has its own set of advantages and disadvantages. Before choosing an IoT framework, developers should carefully consider their project requirements and goals, as well as the strengths and weaknesses of each framework. As an expert in IoT development, CronJ can help businesses choose the right IoT framework for their specific needs and provide guidance throughout the development process. With years of experience in building IoT applications, CronJ has the expertise to ensure that projects are completed on time, within budget, and to the highest quality standards. Reference: 1. 2. 3.
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2023 Latest Braindump2go AI-102 PDF Dumps(Q117-Q153)
QUESTION 117 You are examining the Text Analytics output of an application. The text analyzed is: "Our tour guide took us up the Space Needle during our trip to Seattle last week." The response contains the data shown in the following table. Which Text Analytics API is used to analyze the text? A.Sentiment Analysis B.Named Entity Recognition C.Entity Linking D.Key Phrase Extraction Answer: B QUESTION 118 Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You create a web app named app1 that runs on an Azure virtual machine named vm1. Vm1 is on an Azure virtual network named vnet1. You plan to create a new Azure Cognitive Search service named service1. You need to ensure that app1 can connect directly to service1 without routing traffic over the public internet. Solution: You deploy service1 and a private endpoint to vnet1. Does this meet the goal? A.Yes B.No Answer: A QUESTION 119 You have a Language Understanding resource named lu1. You build and deploy an Azure bot named bot1 that uses lu1. You need to ensure that bot1 adheres to the Microsoft responsible AI principle of inclusiveness. How should you extend bot1? A.Implement authentication for bot1. B.Enable active learning for Iu1. C.Host Iu1 in a container. D.Add Direct Line Speech to bot1. Answer: D QUESTION 120 Your company uses an Azure Cognitive Services solution to detect faces in uploaded images. The method to detect the faces uses the following code. You discover that the solution frequently fails to detect faces in blurred images and in images that contain sideways faces. You need to increase the likelihood that the solution can detect faces in blurred images and images that contain sideways faces. What should you do? A.Use a different version of the Face API. B.Use the Computer Vision service instead of the Face service. C.Use the Identify method instead of the Detect method. D.Change the detection model. Answer: D QUESTION 121 You have the following C# method. You need to deploy an Azure resource to the East US Azure region. The resource will be used to perform sentiment analysis. How should you call the method? A.create_resource("res1", "ContentModerator", "S0", "eastus") B.create_resource("res1", "TextAnalytics", "S0", "eastus") C.create_resource("res1", "ContentModerator", "Standard", "East US") D.create_resource("res1", "TextAnalytics", "Standard", "East US") Answer: B QUESTION 122 You build a Language Understanding model by using the Language Understanding portal. You export the model as a JSON file as shown in the following sample. To what does the Weather.Historic entity correspond in the utterance? month B.chicago C.rain D.location Answer: A QUESTION 123 Hotspot Question You are developing an application that includes language translation. The application will translate text retrieved by using a function named getTextToBeTranslated. The text can be in one of many languages. The content of the text must remain within the Americas Azure geography. You need to develop code to translate the text to a single language. How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Answer: QUESTION 124 Hotspot Question You create a knowledge store for Azure Cognitive Search by using the following JSON. Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic. NOTE: Each correct selection is worth one point. Answer: QUESTION 125 Which statement is an example of Data Manipulation Language (DML)? A.Revoke B.UPDATE C.DROP D.CREATE Answer: B QUESTION 126 Your company needs to implement a relational database in Azure. The solution must minimize ongoing maintenance. Which Azure service should you use? A.SQL Server on Azure Virtual Machines B.Azure SOL Database C.Azure HDInsight D.Azure Cosmos DB Answer: B QUESTION 127 You have a SQL query that combines customer data and order data. The query includes calculated columns. You need to create a database object that would allow other users to rerun the same SOL query. What should you create? Index B.a view C.a scalar function D.a table Answer: B QUESTION 128 What are two benefits of platform as a service (PaaS) relational database offerings in Azure, such as Azure SQL Database? Each correct answer presents a complete solution. NOTE: Each correct selection Is worth one point. A.reduced administrative effort for managing the server infrastructure B.complete control over backup and restore processes machine learning services S3 D.access to the latest features Answer: AD QUESTION 129 You have data saved in the following format. Which format was used? A.CSV B.JSON C.HTML D.YAML Answer: A QUESTION 130 What is a primary characteristic of a relational database? is queried and manipulated by using a variant of the SOL language B.a lack of dependencies between tables C.a flexible data structure D.a large amount of duplicate data Answer: C QUESTION 131 What ate two uses of data visualization? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. A.Communicate the significance of data. B.Represent trends and patterns over time. C.Implement machine learning to predict future values. D.Enforce business logic across reports. Answer: AB QUESTION 132 What should you use to build a Microsoft Power Bi paginated report? A.Power BI Report Builder B.Charciculator C.Power BI Desktop D.the Power BI service Answer: A QUESTION 133 Which scenario is an example of a streaming workload? A.sending transactions daily from point of sale (POS) devices B.sending cloud infrastructure metadata every 30 minutes C.sending transactions that are older than a month to an archive D.sending telemetry data from edge devices Answer: D QUESTION 134 What is the primary purpose of a data warehouse? provide storage for transactional line-of-business (LOB) applications provide transformation services between source and target data stores provide read only storage of relational and non relational historical data provide answers to complex queries that rely on data from multiple sources Answer: C QUESTION 135 You need to develop a solution to provide data to executives. The solution must provide an interactive graphical interface, depict various key performance indicators, and support data exploration by using drill down. What should you use in Microsoft Power Bl? A.a report B.Microsoft Power Apps C.a view D.a dataflow Answer: C QUESTION 136 Your company has a repotting solution that has paginated reports. The reports query a dimensional model in a data warehouse. Which type of processing does the reporting solution use? A.Online Transaction Processing (OLTP) B.Online Analytical Processing (OLAP) C.batch processing processing Answer: B QUESTION 137 You need to create a visualization of running sales totals per quarter as shown in the following exhibit. What should you create in Cower Bl Desktop;1 A.a waterfall chart B.a ribbon chart C.a bar chart D.a decomposition tree Answer: C QUESTION 138 Which Azure Storage service implements the key/value model? A.Azure Files B.Azure Blob C.Azure Table D.Azure Queue Answer: C QUESTION 139 What is used to define a query in a stream processing jobs in Azure Stream Analytics? A.SQL B.XML C.YAML D.KOL Answer: A QUESTION 140 Which property of a transactional workload guarantees that each transaction is treated as a single unit that either succeeds completely or tails completely? A.isolation B.atomicity C.consistency D.durability Answer: B QUESTION 141 Which database transaction property ensures that transactional changes to a database are preserved during unexpected operating system restarts? A.durability B.atomicity C.consistency D.isolation Answer: A QUESTION 142 Which database transaction property ensures that individual transactions are executed only once and either succeed in their entirety or roll back? A.consistency B.isolation C.atomicity D.durability Answer: A QUESTION 143 You manage an application that stores data in a shared folder on a Windows server. You need to move the shared folder to Azure Storage. Which type of Azure Storage should you use? A.table B.queue C.file D.blob Answer: C QUESTION 144 You need to recommend a non-relational data store that is optimized for storing and retrieving text files, videos, audio streams, and virtual disk images. The data store must store data, some metadata, and a unique ID for each file. Which type of data store should you recommend? A.columnar B.key/value C.document D.object Answer: D QUESTION 145 You need to store event log data that is semi-structured and received as the logs occur. What should you use? A.Azure Table storage B.Azure Queue storage C.Azure Files Answer: A QUESTION 146 What should you use to automatically delete blobs from Azure Blob Storage? A.the change feed B.a lifecycle management policy C.soft delete D.archive storage Answer: D QUESTION 147 What is a characteristic of a non-relational database? A.full support for Transact-SGL B.a fixed schema C.self describing entities Answer: C QUESTION 148 You are building a retail kiosk system that will use a custom neural voice. You acquire audio samples and consent from the voice talent. You need to create a voice talent profile. What should you upload to the profile? A.a five-minute wav or mp3 file of the voce talent describing the kiosk system B.a five-minute .flac audio file and the associated transcript as a w file C.a .wav or mp3 file of the voice talent consenting to the creation of a synthetic version of their voice D.a .zip file that contains 10-second .wav files and the associated transcripts as .txt files Answer: B QUESTION 149 You have an app named App1 that uses an Azure Cognitive Services model to identify anomalies in a time series data stream. You need to run App1 in a location that has limited connectivity. The solution must minimize costs. What should you use to host the model? A.Azure Kubernetes Services (AKS) B.a Kubernetes cluster hosted in an Azure Stack Hub integrated system C.Azure Container instances D.the Docker Engine Answer: A QUESTION 150 You plan create an index for an Azure Cognitive Search service by using the Azure portal. The Cognitive Search service will connect to an Azure SQL database. The Azure SQL database contains a table named UserMessages. Each row in UserMessages has a field named MessageCopy that contains the text of social media messages sent by a user. Users will perform full text searches against the MessageCopy field, and the values of the field will be shown to the users. You need to configure the properties of the index for the MessageCopy field to support the solution. Which attributes should you enable for the field? A.Searchable arc Retrievable B.Sortable and Retrievable C.Searchable arc Facetable D.Filterable and Retrievable Answer: A QUESTION 151 You have an Azure loT hub that receives series data from machinery. You need to build an app that will perform the following actions: - Perform anomaly detection across multiple correlated sensors - Identify the root cause of process stops. - Send incident alerts The solution must minimize development time. Which Azure service should you use? A.Azure Metrics Advisor B.Form Recognizer C.Azure Machine teaming D.Anomaly Detector Answer: A QUESTION 152 You build a language model by using Conversational Language Understanding. The language model is used to search for information on a contact list by using an intent named Findcontact. A conversational expert provides you with the following list of phrases to use for training: - Find contacts in London. - Who do I know in Seattle? - Search for contacts in Ukraine. You need to implement the phrase list in Conversational Language Understanding. Solution: You create a new utterance for each phrase in the FindContact intent. Does this meet the goal? A.Yes B.No Answer: B QUESTION 153 You develop a Conversational Language Undemanding model by using Language Studio During testing, users receive incorrect responses to requests that do NOT relate to the capabilities of the model. You need to ensure that the model identifies spurious requests. What should you do? A.Enable active learning. B.Add examples to the custom intents. C.Add examples to the None intent D.Add entities. Answer: A 2023 Latest Braindump2go AI-102 PDF and AI-102 VCE Dumps Free Share:
Tips to secure your IOT based development solutions and services
The COVID-19 pandemic and 2020 lockdown put all analyst predictions into confusion, but as the economy begins to recover, IT consumption is predicted to pick up again, including the rise of the Internet of Things(IoT). The Internet of Things is not a single category, but rather a set of sectors and use cases. According to Research healthcare, smart offices, location systems, remote asset management, and emerging networking technology would boost IoT market growth in 2021. The Internet of Things (IoT) has a lot of advantages and risks. Supporters of technology and manufacturers of IoT devices promote the IoT services as an effort to better and simplify our everyday life by connecting billions of “smart” IoT devices  (such as Smart TVs, Smart Refrigerators, Smart Air-Conditioners, Smart Cameras, Smart Doorbells, Smart Police Surveillance & Traffic Systems, Smart Health & Performance Tracking Wearable, etc.) to the Internet. However, because of consumer privacy and data security issues with IoT Devices, IT Security Professionals believe it is unsafe and too dangerous. Secure Connection People benefit from stable cloud technology in a variety of ways, from encryption to other solutions. Other options are: Improving the security of your Internet gateway Before a device boots up, it performs a stable boot, which is a software device check. Keeping the cloud-based provider’s solutions up to date on a regular basis. To protect your private browsing data from possible attacks, use a protected VPN link. Building a Secure Network Access Control should be activated on your network so that only approved devices can connect. You should take the following steps: Build a firewall. Secure your authentication keys. Install the most up-to-date antivirus software to keep your network safe and secure. Here are some IoT security solutions for the most common IoT security issues: Secure the IoT Network To protect and secure the network linking computers to back-end networks on the internet, use standard endpoint security features such as antivirus, intrusion prevention, and control mechanisms. Authenticate the IoT Devices Introduce various user management features for a single IoT device and introduce secure authentication protocols such as two-factor authentication, digital signatures, and biometrics to enable users to authenticate IoT devices. Use IoT Data Encryption Encrypt data at rest and in transit from IoT devices and back-end networks using standard cryptographic algorithms and fully encrypted key lifecycle management procedures to enhance overall protection of user data and privacy and avoid IoT data breaches. Use IoT Security Analytics  Use IoT Security Analytics Tools that can detect IoT-specific threats and intrusions that standard network security solutions such as firewalls can’t detect. Use IoT API security methods Use IoT API Security methods to not only protect the privacy of data flow between IoT devices, back-end systems, and applications using recorded REST-based APIs, but also to ensure that only approved devices, developers, and apps communicate with APIs, as well as to identify possible threats and attacks against specific APIs. Test and IoT Hardware To ensure the security of IoT hardware, set up a robust testing process. This involves detailed testing of the range, power, and latency of the IoT system. Chip manufacturers for IoT devices must also improve processors for improved protection and lower power usage without rendering them too costly for consumers or too impractical to use in existing IoT devices, provided that the majority of IoT devices on the market today are inexpensive and disposable with minimal battery power. Develop Secured IoT Apps Given the immaturity of current IoT technology, IoT application developers must place an emphasis on the security aspect of their applications by integrating any of the above IoT security technologies. Before creating any IoT applications, developers must do complete research into the security of their applications and try to achieve the best possible compromise between the user interface and the security of their IoT software. Be Aware of the Most Recent IoT Security Threats and Breach Conclusion To ensure the security of the IoT devices and applications, the device makers and app developers must beware of the latest IoT security risk and breaches.  Since the Internet of Things is also a new concept, security flaws are likely to happen. As a result, all IoT device manufacturers and IoT app developers must be prepared for security risks and have a proper exit strategy to secure maximum data in case of a security attack or data breach  Finally, all IoT device manufacturers and IoT app developers must take action to inform their staff and customers about the current IoT risks, breaches, and security solutions. Visit IoT Development Company page if you have any concerns or would like more details about it.
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