Use of Technology in Management during COVID-19

 “Technology does not prevent infectious diseases; However, it helps local people to prevent spread, warn and educate about the situation and reduce the impact.”

In today's business world, the only way to make a business successful is to understand and manage the technologies that lead to business success and identify potential challenges for those technologies. With the current Covid-19 status, companies are more dependent on technology to create effective business practices. As technology advances day by day, the industry is becoming increasingly less competitive with non-digital options. State-of-the-art technology provides many power tools and applications that administrators can use to monitor management communications and workloads. Many of these solutions enable employee training through work line workshops, and downtown FAQs make implementation easier than ever and ultimately increase employee productivity.

 

Given below are a few ways through which technology has helped us :

 A) Video conferencing systems

 Services like Skype and other video conferencing systems help managers stay in touch with remote employees & clients over the Internet in real time. There are programs that include chat rooms, discussion groups and forums, and Google+ hangouts that allow them to have a more personal relationship with their employees than using previous methods

Right technology helps to promote collaboration, maximize efficiency, achieve the best business results, and properly orient employees.

 B) Finding Drugs

Today, the world is looking for ways to stop the spread of coronaviruses and find effective treatments. Technology is becoming an enabler to speed up the process. AI plays an important role in proposing vaccine ingredients by understanding the protein structure of viruses and enabling medical researchers to browse dozens of related research papers at an unprecedented pace. 

C) Increasing traceability and transparency

In terms of pandemic management, big data analytics can help identify infected individuals quickly, connect with them, track who they have come in contact with, and so on. Facial recognition technology with CCTV cameras can help identify infected people who break the rules and move out despite being isolated

Microsoft Bing launches an interactive COVID-19 map to provide in-depth coverage of the disease in the news and the Arogya Setu app of India is also too helpful

D) Helps the Common Man

The result is widespread chaos, panic buying, procurement of essential items, price increases, road violence, discrimination, conspiracy theories, and so on. To minimize misinformation, companies such as Google, Facebook and YouTube work tirelessly to get people to the right, verifiable information published by WHO or local authorities and the government. By providing accurate information to all, a transparent scenario can be created and employees can be informed about the right actions to take.

E) Helps in Shaping Young Minds

Despite of the Covid 19 situation, the Universities and Colleges have gradually started to function in a smooth way. This is because of the spread of easily accessible technology in most parts of the world

Students can now sit in the comfort of their homes and continue with their education through online classes, eBooks, interactive videos and much more.

F) Connectivity

This Covid 19 pandemic is an unexpected phase which cannot be avoided yet one can use technology to prevent spread by creating awareness, educating people connected with converge of technologies such as mobile, analytics

High speed 4G, 5G internet, online news apps, live news streaming and so much more has helped the people to start engaged with the world despite of being socially distanced

 

G)Tracking people with facial recognition and big data
In terms of pandemic management, big data analytics can help identify infected individuals quickly, connect with them, track who they have come in contact with, and so on. Facial recognition techniques with data can correctly identify people, even if they are masked. Such techniques can help in monitoring certain movement and tracking quarantined people. It can also help keep an eye on people and find out if they are in contact with an

Al Technology

AI risk assessment and forecasting with artificial intelligence is becoming an important part of healthcare today & AI-based data analysis and predictive models enable the healthcare professionals by more accurate predictions can be made about the spread of diseases, drugs, treatments, etc. 

 

Contact-less movement and deliveries through autonomous vehicles, drones and robots
Self-driving cars, drones, and robots help when human contact is avoided. With autonomous vehicles, infected people can be easily transported to health facilities without endangering the lives of healthy people. The robot can be used to provide food and kitchen utensils, disinfect hospitals and monitor roads. Drones can be used to identify infected people for food distribution, population surveillance, test kits and medicines to transport bodies for thermal imaging, disinfection, etc.

 

 

Technology supported temperature monitoring

Wireless thermometers and other infrared devices for measuring body temperature are important medical devices used in offices, airports, hotels, hospitals, train stations, shops, and other public places such as checkpoints. These technologies help measure body temperature remotely and are effective in identifying people who need further investigation. Automatic thermal monitoring with facial recognition makes the process faster and more efficient.

 

In today's world, technology is constantly changing. That's why it's important for businesses and businesses to integrate technology management into the strategies they use to stay productive and competitive. We strive to make our business successful and large in order to be more profitable and innovative. Without effective technology management, businesses will lag behind as competitors grow faster.

 

Big Data- A Potential Panacea!

 

The world is one big data problem.” – by Andrew McAfee, co-director of MIT Initiative

Big Data is a collection of massive and enormous data that contains complex informational indexes and information volume. They can be structured, semi-structured and unstructured depending much on   sources of data, which various from homogeneity to heterogeneity of data. These include huge quantities of data, data management capabilities, social media analytics and real time data ranging from terabytes or petabytes. After examining  the data has been launched as Big Data analytics.

There are 3 types of Big Data:

1.     Structured: Any form of data that can be stored, processed having a fixed pattern is called as “Structured”. This type of data has high potential of its utility in various industries.

2.     Unstructured:  Any form of data that do not follow any fixed pattern is called as “Unstructured”. They are heterogeneous in nature. These can be in the form of simple text files, images, videos etc.

3.     Semi-structured:  It is the mixture of both homogeneous and heterogeneous of data. One such example can be Data stored in an XML file or table definition of relational DBMS.

Big Data Application:

Big data is a field that can be advantageous to us in various ways of our lives which can be of great use.

The Third Eye-Data idea:  Big Data Analytics is a one stop destination for almost every organization. It helps in forecasting the customer purchasing behavior pattern, and detecting any kind of organization bugs. Giant companies  like Facebook, Twitter, eBay, Walmart know better ways of handling large data.

Banking: This data sharing and dependency in various organization can also handle the privacy issues, using big data analytics. By spotting the suspicious associations, data is filtered into a structured way. Outsourcing of information investigation can open upon for security dangers.

Agriculture: It examines how plants respond to various changes in condition be it temperature, water levels, soil arrangements, development, yield and quality sequencing of plants in the ground.

Finance:  Finance related associations are using untouchable approval scoring while at the same time surveying new recognition application. At present using their own approval scoring examination for available customers using an extensive extent of data, save reserves, charge cards, home advances, and adventure data.

Economy: Expected   starting from   the   earliest   stage   to   bargain   brilliantly   with       ware equipment, Hadoop can assist associations for move to low budget servers.

Government: Huge information investigation has demonstrated to be valuable in the administration area. The Indian Government harnesses different strategies to have control on running all governmental activities throughout the country.

Web-based Media Analytics: Web-based media can give important continuous experiences into how the market is reacting to items and missions. With the assistance of these bits of knowledge, the organizations can alter their valuing, advancement, and mission arrangements likewise.

Extortion location: For organizations whose tasks include any kind of cases or exchange preparation, extortion recognition is one of the most convincing Big Data application models. Verifiably, extortion location on the fly has demonstrated a slippery objective.

 

           

 Future of Big Data

 

•  Machine Learning Will Be the Next Big Thing in Big Data

One of the most sizzling innovation drifts today is AI and it will have a major impact later on for large information too. It will help organizations in getting ready information and lead prescient examination so organizations can defeat future difficulties without any problem.

• Privacy Will Be the Biggest Challenge

Whether it is the web of things or huge information, the greatest test for developing advancements has been security and protection of information. The volume of information we are making at the present time and the volume of information that will be made later on will make protection considerably more significant as stakes will be a lot higher.

           

• Data Scientists Will Be In High Demand

. As the volume of information develops and huge information develops greater, interest for information researchers, examiners and information the executives’ specialists will shoot up.

• Businesses Will Buy Algorithms, Instead of Software

We will see a 360-degree move in business approach towards programming. It furnishes organizations with more customization alternatives when contrasted with when they are purchasing programming. The business should modify as per the product measures yet this will end soon with calculations selling administrations becoming the overwhelming focus.

• Prescriptive Analytics plays a pivotal role in BI Software

IDC predicts that half of the business investigation programming will consolidate prescriptive examination expanding on psychological registering usefulness. This will assist organizations with settling on keen choices at the ideal time. With knowledge incorporated with the product, we can filter through a lot of information rapidly and get an upper hand over rivals.

• Big Data Will Help We Break Productivity Records

As per IDC, associations that put resources into this innovation and achieve capacities to break down a lot of information rapidly and extricate noteworthy data can get an extra $430 billion regarding efficiency benefits over their rivals.

 

Big Data Applications to Covid-19:

The impact of Covid-19 has taken a turmoil in every sector of industry, such that they all see technology as a “potential panacea” for mitigating the steps we can take on.

The ongoing recreation, and even non-constant yet big data ecosystem, is an amazingly convoluted figure issue. The large information environment isn't distantly equivalent to the errand. The arrangement requires not only a supercomputing way to deal with tackle this issue, yet in addition must take care of the dynamic adaptability issue. It requires a stage that is both enormous information skilled. It must use the cloud to scale progressively utilizing just the assets it requires at some random moment in time, just as utilizing all the assets it requires at any moment when the need emerges. The improvement of these advancements is currently being sped up as building up the framework to create precise models that utilization huge informational indexes, joined with the physiology and genomic of people has become a worldwide need. Thus the innovation will introduce a period where tranquilize treatments will be explicitly streamlined to the person. A customized way to deal with social insurance will empower a thoroughly logical methodology to the annihilation of sickness as well as advance our prosperity and joy. Despite the fact that we have to see the effect of these improvements before dashing to ends, as we track our lives and wellbeing with more extravagant information than any time in recent memory, we will find things about wellbeing, prosperity and life span that appear to be incomprehensible today.