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Career Opportunities in the Internet of Things

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Career Opportunities in the Internet of Things

From home appliances to agriculture to space and automobiles, the internet of things (IoT) is revolutionizing every industry.

The demand for IoT is increasing at a high rate as there is surging demand in the number of sensor-enabled devices that are connected with the internet. By the end of 2020, there will be 26 to 50 billion IoT enabled devices worldwide.

A connected world needs more hands to handle the latest technology. From engineering and development to product testing and device security, the IoT is actively expanding the workforce. HowDIY is no. 1 IoT skilling platform where you can excel yourself in the latest technology and get ready to mark your presence in the tech industry. Join the best IoT online training today!

Career Fields Within IoT:

Development

IoT is a rapidly growing field that is constantly being developed. It has many areas like hardware design, software coding, network and systems engineering, product testing and validation, security analysis, data science, database programming, technical documentation. So, there is no shortage of talented and trained candidates. An IoT device includes numerous interconnected systems. These devices are designed to be used on multiple platforms. And, one of the common platforms is via mobile phone. So, it needs IoT skilled programmers for both Android and iPhone development. Apart from it, there is also a server back end and database development personnel who handles firmware updates collect metrics, and classifies errors.

Security

There is a crucial role of cybersecurity professionals in IoT. As we all know that IoT devices are connected to the internet and everything that is connected to the internet draws a huge amount of data. It\’s essential to secure this data. Today, security professionals around the world are making great advancements to keep data safer from cybercrime. So, it has opened up a new avenue of jobs for IoT skilled professionals. Internet connectivity could allow hackers to target your home appliances, bank account, or anything associated with you. That’s why cybersecurity is a booming field for aspiring IoT professionals. They play an enormous role in the development and implementation of IoT devices against cyberattacks.

IoT in Every Industry

The developers and cybersecurity professionals have a great future in the IoT industry. But, apart from them, many industries are going to provide numerous job roles for IoT trained candidates.

It will not be exaggerated to say that even trash and recycling disposal will eventually be affected by IoT. Some cities have already adopted IoT enabled garbage cans. The smart can sensors alert sanitation workers when the trash can is full. In this way, the sanitation workers save on fuel.

Smart stoves are programmed via phone or computer to complete a task while cooking. The sensors monitor the temperature and send alerts when a dish is cooked. It prevents food poisoning and eliminates human errors.

Not even police, firefighters but the first responders for natural disasters like floods and earthquakes will be affected by the IoT. A drone can be a huge help in search and rescue operations. Sensors can be placed in levees, bridges, and utility poles. They monitor risk factors such as rising water levels, infrastructure instability, etc.

Job roles & salary package in IoT:

IoT/Cloud Software Developer

Education requirement: CompTIA Cloud+ and/or A+ certification and experience

Bachelor’s degree in information technology or information networking

Annual salary: $73,000

IoT Infrastructure Architect

Education requirement: CompTIA Cloud+ and Server+ certification and experience

Bachelor’s degree in information technology or information networking

Annual salary: $100,000

IoT Systems Administrator

Education requirement: CompTIA Cloud+ certification and experience

Bachelor’s degree in information technology, computer science, or computer engineering

Annual salary: $72,000

Cyber Engineer

Education requirement: CompTIA CASP certification and experience

Bachelor’s degree in information technology, computer science, or computer engineering

Annual salary: $84,000

Test Engineer

Education requirement: CompTIA Network+ certification and experience

Bachelor’s degree in information technology, computer science, or computer engineering

Annual salary: $62,000

This article has given the clear picture of the bright future associated with IoT. If you are also dreaming about working in fortune IoT companies, join us and know more about the no. 1 IoT training.  

 

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Introduction to IoT Careers

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Introduction to IoT Careers

Today, many people want to pursue a career in IoT, but they juggle with a lot of queries. This article will help you find out answers to all your questions. Do you know that the field of IoT is expanding constantly? Therefore, the demand for IoT skilled professionals is also increasing. Let’s read below and know more about the career opportunities in IoT. 

The Future of IoT:

The future Of IoT is very promising. The world is attracted to leading a smart life, and IoT has been making it possible. According to recent studies, IoT will drive around 344 $344B in revenue by the end of 2020. In the upcoming years, there will be a huge demand for IoT professionals. 

Is IoT a good career idea?

Today, look around, and you’ll find yourself to be surrounded by smart technology. The advancement in technology has brought a smart and faster life to you. The credit for smart life goes to IoT. Companies can collect and analyze data to make better business decisions to offer the best services to their customers. 

Now the question is if IoT is the best career path. In the present era, businesses and organizations are operating online. Hence, they are depended on the data collected by the IoT devices. It is essential to analyze this data deeply. So, it needs a large number of IoT skilled professionals and experts. The best part is that IoT professionals get decent salary packages from the very beginning. 

So, you can say there is a bright career opportunity in the IoT industry. You just need to give us a call to the no. 1 IoT skilling platform ‘HowDIY’. 

 Types of IoT Jobs & Job Roles:

After getting clarity about the career scope in IoT, you must be wondering about what kind of job roles you can have in IoT? Don’t worry there is a pool of millions of job opportunities waiting for you. The IoT industry has offered different types of job roles. You can check and fit yourself in the best profile. 

Cloud Engineer:

A cloud engineer establishes and deploys the middleware and NoSQL database to collect the data from the IoT devices.

Designer:

If you’re a CAD designer then you can help the IoT industry to design better IoT devices such as wearables.

Material Specialist:

A material specialist finds out which material should be used to embed a sensor in it.

Embedded Engineer:

Embedded engineers develop and implement software of the embedded devices.

Network Engineer:

Network engineers help in establishing a computing network or choosing a suitable gateway and more.

Data Scientist:

The data scientists analyze the collected data using in-memory computing or batch processing and convert it into useful information.

Data Visualization Expert:

The data visualization experts visually present the information to make it more understandable. 

UI Engineer:

 The UI engineers design the easy and interactive user interface of the IoT devices. 

Data Architect:

The data architect designs the data model. 

Instrument Engineers:

The instrument engineers handle actuators, sensors for the closed-loop system.

Test Engineers:

A test engineer tests the functional aspects of IoT devices.

Programmer:

The programmers program the backend and integrate it with middleware and cloud databases.

The Pay Scale for IoT Jobs:

Each job role mentioned above comes with a handsome salary package. Salary may vary from one job role to another. But there are five major functional areas concerning salary. These five areas command the IoT industry. 

Salary Trends by Functional Areas are

  1. Application Programming – Rs 13 LPA
  2. Engineering Design – Rs. 11.5 LPA
  3. System Programming – Rs. 10 LPA
  4. Embedded Technologies – Rs. 8.2 LPA
  5. Experienced candidates – Rs. 30 LPA

List of Companies Hiring IoT Professionals:

IoT not only helps businesses to serve their customers in a better way but increase their ROI too. from Startups to Tech-Giant, many companies hire IoT professionals. Some of the famous companies are:

  1. ScienceSoft
  2. Oxagile
  3. Style Lab IoT Software Company
  4. HQ Software Industrial IoT Company 
  5. Cisco 
  6. Huawei
  7. SAP
  8. IBM 
  9. ARM IoT Security Company 
  10. GE Digital 
  11. Bosch IoT Sensor Company 
  12. Siemens IoT Analytics Company

Required IoT Job Skills:

If you want to pursue a great career in the IoT industry then it is a must to have deep knowledge in the below-given concepts :

  1. Embedded Systems
  2. Networking & Security 
  3. Programming
  4. Analytics
  5. Communication Protocol
  6. UI/UX Design
  7. Cloud Computing
  8. Edge Computing
  9. Soft Skills

Are There Any Prerequisites for IoT Jobs?

Strong command over programming and embedded systems is a must to start a career in IoT. Each job role demands a different skill set. 

Importance of IoT Training and Certification:

If you want to get hired by top-most companies then IoT training and certification are essential. You can get IoT training from various Government and private IoT training course providers. HowDIY is the no. 1 IoT skilling platform for job seekers. Our trainers are industry experts with vast experience in their domain. We’re providing three courses to cover all the basic and advanced topics related to IoT. 

Our courses are:

  1. IOT – MICRO (FUNDAMENTAL CONCEPTS +20 BASIC LEVEL PROJECTS)
  2. IOT- MEGA (30+ ADVANCED IOT AUTOMATION LEVEL PROJECTS)
  3. IOT- GIGA (40+ ADVANCED IOT & AI WITH FUTURISTIC TECHNOLOGIES)

It’s your chance to give wings to your future. Act smartly for smart technology. Enroll at HowDIY now!!!

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What, Why & How of Streaming analytics

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What, Why & How of Streaming analytics

What is streaming analytics?

Streaming analytics is also known as event stream processing. It is the analysis of huge real-time data through the use of continuous queries, called event streams. An action or a set of actions like a financial transaction, equipment failure, a social post, or a website click, or some other measurable activity directly trigger the streams. The data can be originated through various sources like the Internet of Things (IoT), transactions, cloud applications, web interactions, mobile devices, and machine sensors.

IoT based streaming analytics helps a wide range of industries extracting value from in-motion data and spotting opportunities and risks. 

Streaming Analytics allows management, monitoring, and real-time analytics of live streaming data, for example, streams of GPS data from cars calculate each move of the car and driver based on any chosen criteria. 

Advantages of Streaming Analytics:

Provides Deeper Insight through Data Visualization: 

Companies manage their key performance indicators on a daily basis through the visualization of the company’s crucial information. This data is viewed in real-time. Hence, companies can have a granular view at any given time. This data helps improving sales, reducing costs, and identifying errors. Companies can react faster to mitigate risks with the help of provided information. In short, streaming analytics accelerates decision-making, and gives a clear picture of business metrics. 

Offers Insight into Customer Behavior: 

To accelerate business, it’s very important to know customer preferences. Streaming analytics helps companies to visualize what customers are buying or not buying. This data enables companies to generate more profit and retain existing customers. They can rapidly respond to their customers’ needs and increase revenues. 

Remain Competitive: 

Once a business understands the current trends and benchmarks, it can develop white papers, use cases, and forecast the company and industry. It spread awareness of industry change and reduces internal and external threats. In this way, a company can become a competitive, innovative, and strong brand. 

Difference between Streaming Analytics and Traditional Data Analytics

The main difference between streaming analytics and traditional analytics is how data is analyzed in both. In traditional analytics data is first stored and then analyzed for deriving insights. On the contrary, streaming analytics follows analyze-first-then-store-paradigm. In IoT based streaming analytics, data is first analyzed during events and then only relevant data gets stored for batch analysis. It scales the constant flow of information and helps to deliver continuous insights to users across the organization. 

Some Examples of Real-World Streaming Analytics Use Cases

Here are a few examples of use cases of real-time analytics performed on streaming data.

Manufacturing: 

Manufacturers embed intelligent sensors in all devices from the production line to the supply chain. They can analyze the data through sensors in real-time. It allows them to spot problems and rectify them before their products leave the production line. It not only improves productivity, and efficiency of operations but also saves money. 

Cybersecurity:

Streaming analytics is very helpful in cybersecurity. It can identify suspicious behavior and activities and flag them for investigation. So, the attack can be stopped at the initial stage before it does any damage. 

Hospitality: 

A hotel can use streaming analytics to monitor reservations in real-time. They can text or email special promotions and discounts to their guests constantly. 

 

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IoT Security Tips

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IoT Security Tips

The world has gone digital, tablets have replaced notebooks, cell phones have become the biggest necessity, and companies are adopting next-gen technologies.

From automated security systems to laptops the IoT has connected everything. According to Gartner’s prediction, about 20.4 billion devices will be connected by the end of 2020.

Why is IoT a hot topic?

Since many devices have already been connected, IoT has been playing a significant role in growing businesses. Today, people talk about IoT for the following reasons:

  1. It provides affordable ways to build tech-savvy devices.
  2. A large number of products are Wi-Fi compatible today.
  3. Increasing demand for smartphone.
  4. It enables smartphones into controllers for other devices.

What should you know about IoT security?

Connected devices are boosting businesses, but these devices are vulnerable to cyberattacks. It means anything that is connected to the internet needs IoT security seriously. From corporate servers to cloud storage, cybercriminals can find a way to exploit information. That’s why IT professionals keep IoT security as their top-most priority. Here is a list of a few IoT security tips for you.

Keep tabs on mobile devices

Mobile devices like tablets should be checked in and locked up at the end of every business day. If tablets or mobile go missing, data and information can be accessed and compromised easily, so it’s crucial to use a strong access password or biometric. It is recommended that you use a security product that lets you restrict apps, segregate business, and personal data, and wipe business data if a device is stolen.

Implement automatic antivirus updates

Viruses give hackers access to your system and data. All your devices must be protected against viruses. Setting up an automatic antivirus can give significant protection against a cyberattack.

Strong login credentials

Using the same login and password for every device is easy to remember for people, but it\’s also easier for cybercriminals to hack. Every device should have a unique login with a strong password. Whenever you use a new device, make sure you change the default password. It’s risky to reuse the same password across devices.

Deploy end-to-end encryption

Do you know how connected devices talk to each other? They talk through data. In this process, data transfer from one point to another. So, it\’s crucial to encrypt data at every intersection. End-to-end encryption protects your information when it travels from one point to another.

Install software updates from time to time

Whenever you buy a new device, make sure that the vendor provides updates. You should apply the updates as soon as they become available. You must always implement automatic updates.

Disable the unused features on your device

You can get many features on your device. You should switch off features that you are not going to use. It reduces the potential chances of a cyberattack.

Choose an expert cybersecurity provider

If you’re leveraging your business with IoT then always rely on a trusted cybersecurity and antivirus provider. He can access vulnerabilities and provide unique solutions that prevent cyberattacks.

IoT has the potential to grow your business, but you can’t overlook IoT security concerns. It\’s essential to ensure that your company’s data and processes are protected in your IoT ecosystem.

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Know, how sensors make a home‘SMART’

\"\"Gone are the days when people used to bear property damage due to the forces of fire and lightning, wind and hail, extreme weather events like hurricanes and tornadoes, or even theft. Today, you can protect yourself and your home with the Internet of Things.

Are you still wondering how the Internet of Things can guard your house and make it smart? Let’s understand which sensors you can deploy in your home and ensure its safety.

Fire/CO detection

You all must have seen a fire detector which beeps away at the first sign of smoke in the home. But, do you know several types of pollutants can threaten our home environment and air quality? They could lead to property damage and harm to people’s health. Here comes a CO Detector! It measures the CO levels in the air and warns if the levels are dangerous. Apart from detecting smoke and CO, some new sensors can detect pollutants like dust, soot, pollen, temperature, humidity, air staleness, pollution, and particulates.

Leak/moisture detection

People who live in cold regions may experience freezing pipes or even a broken waterline. It can cost them a lot of money. IoT is such a blessing in such conditions. In a smart home, sensors can be fixed around water heaters, dishwashers, refrigerators, sinks, sump pumps, and anything at risk for water leakage. Now, whenever the sensor detects unwanted water, you get a notification. So, you can fix the problem immediately without bearing much damage.  

Smart window & door

Sensors in the door and window alert you when people enter and leave your house. They can even detect when a window is broken by a thief. You get notifications straight to your phone or tablet, and you can quickly call for help. Isn’t it a great safety measure for your family?

Video doorbell

Imagine, someone rings your doorbell at midnight, you’ll surely want to see the person before opening the door. Now, it is possible with a cool IoT device called a video doorbell. You can see who is at your door from your smartphone, whether you’re at home or your work. This device can surely keep thieves and intruders away from your house.

Smart thermostat

Wherever you are in the world, you can control heating and cooling in your home through a smart thermostat. You can save bucks as it helps you monitor the temperature and humidity inside and outside of your home. It maintains an ideal temperature for you in your room and defaults to an energy-saving mode when you leave the room.

Motion sensors

A motion sensor alerts you if there is a movement in your home. It also notifies you if your doors or windows have been opened or closed. So, you can leave an extra pair of eyes at your home in your absence. These sensors can save energy by adjusting the temperature and turning off the lights when the room is unoccupied.

IoT has revolutionized the idea of smart homes. It can help you create a safe, smart home that is protected by sensors even when you’re not present.

 

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Career in IoT: The road to the bright future

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Career in IoT: The road to the bright future

Today, the Internet of Things is no more a conceptual technology as there are a lot of IoT devices available in the market. People are getting used to this technology. Many industries are taking advantage of this technology to make profitable business decisions. According to the current statistics, every 10 out of 6 companies are coming into the IoT domain. Therefore, students and job seekers will have a pool of job opportunities in IoT. So, if you’re still thinking about pursuing a career in IoT here are the top 10 reasons that can help you in your decision making.

·         Rapid Growth

IoT has already taken over the tech industry and now it is ready to bring the economic revolution in upcoming years. The global IT leaders are researching all the possibilities to connect more devices and bring a great change in the market. All big and small industries have started leveraging technology. Such growth in the market suggests that a career in IoT will highly rewarding. Here are some of the facts from the recent reports:

a.       IoT will increase the average income between 20-30% by 2030.

b.      25 billion devices will be connected by the end of 2020.

·         Chance to work in a growing domain

A domain focused course such as BCA with specialization in IoT offers students promising career opportunities. Similarly, BCA with a specialization in IoT offers practical applications of computer languages. It’s easier for students to create IoT enabled applications. 

·         Future-proof career option

Students should always choose a career in blooming domains. IoT is still in the growing stage, and there are many opportunities to be leveraged. In such a scenario, it’s wise to be ready to take future opportunities. IoT is undoubtedly a promising career option for you.

·         Exciting job prospects

If you’re looking for the exciting job prospects then IoT is the best option for you. Doing BCA with a specialization in IoT opens different profiles for you. You can work on different profiles like app developers to create applications using programming languages such as C, C#, Java, .NET, and technologies such as Big Data, UNIX, and more.

In short, IoT is a promising domain to get exciting career options. It is lucrative and has many learning opportunities as both the private and public sector companies have tremendous scope in IoT. Here is a list of IoT career domains that students can choose from:

·         Data Scientists

·         Network professionals

·         Programs engineer, firmware engineer, thing engineering, mechanical engineers, digital sign processing, internet gateway interfacing, and so on.

·         Security experts for risk identity, vulnerability evaluation, public-key encryption security, and wireless community security

·         Device and Hardware experts, especially in Sensors and Actuators are required in the R&D facilities of sensor manufacturing groups

·         Software Program Engineering, records scientist, facts analytics, database administrator, and many others

To understand the complexities of IoT and its challenges, HowDIY, an IoT skilling platform has come up with exciting courses. Here, you can learn from scratch and enter into the world of IoT for a bright prospect.  

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ML: A blessing for Healthcare Industry

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ML: A blessing for Healthcare Industry

You all have heard about using ML in the healthcare sector. And, some of you might have wondered if this technology provides real value in health care. While some people still don’t know the value of ML, the health catalyst believes that it is one of the most essential life-saving technologies ever introduced in healthcare. Read below some of the applications and advantages of ML for the healthcare industry.

Helps in Identifying Diseases and Diagnosis

The identification and diagnosis of disease and ailments are one of the primary advantages of machine learning in healthcare. It can diagnose cancers and other genetic diseases in the initial stage when they are tough to catch.

Medical Imaging Diagnosis

Machine learning and deep learning have given breakthrough technology called the Computer Vision to the healthcare sector. For example, Microsoft’s initiative InnerEye works on the image diagnostic tools for the analysis of the picture.

Personalized Medicine

ML has been playing a significant role in customized treatments. It helps with the predictive analytics of health. It is also a boon for the research and better assessment of the diseases. Earlier physicians were limited to choose a specific set of diagnoses and treatments based on a patient’s symptomatic history and genetic information. But ML has opened great avenues and multiple options for doctors.  The IBM Watson Oncology is an example of ML technology. It uses the medical history of the patient to help generate multiple treatment options.

Smart Health Records

Maintaining the health records of patients is a tiring process. ML eases this process and saves time, effort, and money. Today, the healthcare industry is using the cutting edge of ML technology to develop the next generation of intelligent and smart health records. The ML-based tolls help with diagnosis, clinical treatment suggestions, etc.

Outbreak Prediction

The outbreak of the pandemic has changed the tech industry entirely. Today, ML and AI-based technologies are used by the healthcare sector to monitor and predict epidemics around the world. ML for the healthcare industry is helping to predict everything from malaria outbreaks to severe chronic infectious diseases. ProMED-mail is a primary example of it. It is an Internet-based reporting platform that monitors evolving diseases and emerging ones and provides outbreak reports in real-time.

Better Radiotherapy

Radiology is one of the most sought-after applications of machine learning in healthcare. ML-based algorithms learn from the multitude of different samples to make diagnose easier and find the variables. It also helps in medical image analysis. It classifies objects such as lesions into categories such as normal or abnormal, lesion or non-lesion, etc.

Take Away:

Today, technology-enabled smart healthcare is no longer a flight of fancy. ML is playing a critical role in patient care, billing, and medical records. The healthcare specialists can develop alternate staffing models, IP capitalization, smart healthcare, and reduced administrative and supply costs with the use of ML. Machine learning in healthcare has got gradual acceptance worldwide.

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Growing importance of AI during COVID crisis

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The COVID-19 pandemic has hit hard the entire world. The healthcare sector experienced tremendous pressure. The COVID-19 virus has not given enough time to get prepared. And, the steep rise in cases created severe challenges for healthcare professionals. At such challenging times, artificial intelligence has played a significant role. The healthcare sector has been putting AI in its operations for a long, buthas evolved and covered more aspects of healthcare operations than ever. Let’s dive deep and explore more exciting examples of AI during the COVID crisis.

Speech Analytics for Data-driven Response:

 COVID-19 outbreak has been causing a high volume of unexpected customers calls for contact centers. It is high time for companies to provide real-time responses to their customers’ concerns consistently. AI has made it possible as:

  1. It analyses 100% of customers call in real-time.
  2. It provides insights for the most critical customers and complaints.
  3. Speech analytics makes it easy to prioritize concerns and providedata-driven responses timely.

Text Analytics to Facilitate Research on and Strategy Against the Virus:

 To understand more about the novel coronavirus, medical researchers need to go through a huge amount of data including previous research, current&past publications, and decades of epidemiological models, etc. It is difficult to read through all of it. But text analytics can review thousands of research papers within minutes to find the relevant information.

Voice-to-Text Solutions for Quicker Patient Care:

 Since doctors can’t have a record of the issues of all their patients, it’s not possible to respond in a timely manner. But voice recognition is helping doctors to keep track of all the interactions and information shared over telephone calls. A voice recognition software auto-transcribes the call recording into text and updates the electronic medical record (EMR) of the patient automatically. Thus, it reduces the turnaround time of doctors and helps them provide more accurate results to more patients.

Better Resource Utilization:

 Like other industries, COVID-19 has caught the healthcare sector off-guard. Limited medical and healthcare resources are a major challenge in addressing COVID cases growing exponentially.
Data analytics is helping healthcare workers and researchers tremendously. ML models are trained to assess the risk level of patients with the help of the huge data gathered from multiple resources. Hence, healthcare providers are able to get medical assistance and arrange vital resources like masks, PPE kits and ventilators.

Early Diagnosis and Detection:

 Detection of coronavirus at an early stage is crucial to control the coronavirus spread. While the CT scan takes a long time to analyse symptoms, an AI-enabled diagnosis uses computer vision to process hundreds of scans within a few seconds.

Spreading Awareness Through Bots:

 AI during the COVID crisis  has turned companies to bots. These bots interact with customers in real-time, respond to their queries, and spread awareness among people. The chatbots are used in various organizations to answer the queries about coronavirus and to reduce anxiety among the employees.

Facial Recognition to Detect Immunity:

 Businesses all around the world are concerned about keeping the workplace safe from COVID-19 infection. Now they have got a new solution to their problem. They can use facial recognition to know the immunity status of an individual. It can also share the individual’s history with respect to COVID-19, for example, his medical tests, efficacy of tests, and whether the individual has been in the proximity of an infected person.

Conclusion:

 In the current situation of the pandemic, AI has taken over the healthcare sector entirely. It has proved to be a great help in diagnosis, drug discovery, remote trials, patient care, and more.