Top 10 Trending Technologies You Need To Learn

With so many technologies emerging on so many fronts, it's a challenge to keep up. There are thousands of things in this world you might even don't know about. This world is changing with the rapid development of trending technologies.

To keep you updated with this world's emerging and trending technologies, we have curated the list of top 10 trending technologies that you must be aware of.

This article will not only keep you up to date but might also persuade you to look more into these remarkable trending technologies of our world. The technologies that we talked about in this article are a boon for humanity.

So, whether it is Artificial Intelligence or Robotic Process Automation, it's all about the emerging technologies that can change the picture of this entire world. So, without any further adieu, let's dive right into it.

TOP 10 TRENDING TECHNOLOGIES IN THE WORLD ARE-

1. Data Science
You must be aware of the enormous amount of data that big or small companies collect to provide the best of all services to their customers. These data may include business information, sales data, customer profile information, passwords, server information, financial figures, etc. This data needs to be organized at some point in time; otherwise, it becomes difficult for companies to provide structured services.

This is where ‘Data Science’ comes into the picture. Data science is the extraction of actionable insights from raw data. In simple words, Data science is an interdisciplinary field that uses scientific procedures, processes, algorithms, and systems to gather information from the raw data. This raw data is used to form structured and understandable information.

The role of a Data scientist is to break down big data into usable information and creating understandable software and algorithms. They are responsible for uncovering insights from a massive amount of structured and unstructured data. It helps in giving shape and meeting specific business goals.

They perform these tasks using specialized software. They ensure to organize and analyze data and cater the easy and understandable information to all the stakeholders.

Data Science is not a one-man army approach; instead, it incorporates critical computer science, mathematics, statistics, information visualization, graphic design, complex systems, communication, and businesses. Altogether, they help develop structured data from the raw data and make it easy to understand.

Why is Data Science Important?

Data is the building stone of any organization because it helps business leaders to make decisions based on facts, statistical numbers, and trends. Let’s get into some significant benefits of Data science technology.

1. Client Satisfaction- With the support of Data Science, the companies can recognize their client’s needs better. Clients or Customers are the foundational requirements of any business. Data Science enables companies to connect with their clients or customers and help them provide top-notch services.

2. Impressive technology- Everyone wants to tell a powerful and engaging story to get the most attention. This is where data plays an important role. Any organization can enhance its brand story with the help of precise and inclusive data technology. This helps partners to connect with the brand and see how well they are growing with trending technologies.

3. Universal technology- Data Science is not a gift that can be used for a specific industry type. However, data is something that is collected in every sector. Data Science can be applied to almost all industries such as travel, healthcare, education, construction, etc. With the data’s help, any company can strongly face challenges and address them effectively.

4. Collaborative Technology- Big data is continuously emerging and growing with innovations in various industries. The requirement of Data Science increases the performance of the critical task in the growth of technical fields like Robotics, electronics, mechatronics, mechanical, nano-technology, bioengineering, etc.

Future Scope of Data Science According to the 2020 reports of Glasdoor.com, the average Data Scientists’ salary in India lies around Rs. 10 Lakh per annum. This is the starting salary of a Data Scientist can be around four lakhs.

Down the road, this salary increases to double digits. There are ample of sought after positions in the professional fields like Data Scientist, Data Architect, Business Intelligence Manager, Data Engineer, Data Analyst, or Business Analyst.

2. Business Analytics
Business Analytics is a study of data through statistical and operational methods to provide insights into its performance and decisions. Business analysis helps the organization to make data-driven strategic moves.

The data study allows the company to evaluate the profits and losses of any product, project, or process. This process begins with the collection of the past and present data of the company.

This data is then analyzed using statistical and advanced analytical approaches. Then business analysts identify and define the solutions that maximize the value of any product or project of the company.

A Business Analyst's job is to understand clients' requirements, suggest the best procedures to improve their services, and ensure that the solution or processes offered are streamlined and deliver the best outputs to an organization.

Role of Business Analyst

Following is the role that a Business Analyst performs in his/her daily routine:

• Identifies problem areas in a business process
• Determines responsible factors are achieved or unachieved targets.
• Uses tools and techniques to formulate the best possible solution.
• Presents the recommendation in a data-driven method, and
• Reports the data-driven change to processes

Benefits of Business Analytics

• Business analytics plays a vital role in the future and the growth of any company aspiring to remain profitable.
• Business analytics insights are advantageous for knowing where a business stands, predicting future outcomes, and forming bold tactical choices.
• Business analytics recognizes gaps in existing products or projects and highlights crucial data that prepares the organization for future growth and challenges.
• The information accumulated by Business Analysts can be used to automate decision-making that will give real-time responses and continuous improvements.

Component of Business Analytics Dashboard

• Data Aggregation: We need to gather, organize, and filter data before starting the analysis. It can be done either through volunteered data or transactional records


• Data Mining: Data mining for business analytics sorts through large datasets using databases, statistics, and machine learning to recognize trending technologies and establish connections.


• Association and Sequence Identification: The classification of expected actions implemented in association with other activities or sequentially is called Association and Sequence Identification.


• Text Mining: In text mining, we search and organize large, unorganized text data sets for qualitative and quantitative analysis.


• Forecasting: In this, we examine old data from a specific period to make informed estimates that are predictive in determining future events or behaviours.


• Predictive Analytics: Predictive business analytics uses a variety of statistical technology to build predictive models, which obtain data from data sets, identify patterns, and provide a predictive score for an array of organizational outcomes.


• Optimization: Once we successfully identify trends, businesses can employ simulation techniques to test out best-case scenarios to help themselves grow.


• Data Visualization: This provides visual illustrations such as charts and graphs for easy and quick data analysis.

Thus, these tools are the stepping stone of Business analytics. They work together to bridge the gap between unstructured and structured data.

Business Analytics is a professional and technical trending technology that has abundant scope for growth in the future. It is a perfect career path for people who are interested in problem-solving and data analysis.

3. Artificial Intelligence

Artificial Intelligence has been progressively increasing. From Siri to automated driving, we have created machines to think and behave like a human. An ideal characteristic of an AI-driven technology would be to rationalize between things and situations and find the best solution to fulfill the goal.

However, in recent times it's expected to see research in social benefits of artificial intelligence more as hacking into a computer or a system hanging in between is one thing. Still, a car is crashing, and an airplane is getting in control of someone who risks human lives.

The application of Artificial Intelligence is endless and in different sectors & industries. It is tested in the healthcare industry for drug doses and in surgical rooms during operations. Other Artificial intelligence instances include computer playing chess or auto-correction while writing texts in the finance sector, detecting and flagging any unusual activity involving large deposits or withdrawals.

AI's brain impacts the result, so the consequences may differ and help consumers win their game. This technology works best in streamlining and making humans tasks easier and secure.

Understanding more about the types of Artificial Intelligence-

• Weak Artificial Intelligence: These are articulated to perform a specific task assigned for the job. A self-driving car or a computer playing chess like the example above is a part of such weak Artificial Intelligence. These are also known as Narrow Artificial Intelligence.
• Strong Artificial Intelligence: These types of AI's follow the more human-like tasks but in a complex or complicated state of forms. These are specifically programmed to solve problems without having a person intervene in between. For example, a surgical operating system. These are also known as General Artificial Intelligence.

There is enormous scope in the Artificial Intelligence field and it will be the case shortly. Below are some examples to help you understand better how AI can help reshape your future tomorrow.

• Automation: Making the highest impact in humans' lives, automation is the most common and fruitful benefit of Artificial Intelligence. It does not lead to higher production, but with optimized inputs and premium safety, and it gives improved quality.
• Rational Decision Making: Analyzing new trends, organized data delivery, and developing data consistency to make the right decision and maintain a business's efficiency.
• Augmented User Experience: Providing prompt solutions to users on their questions and queries to make their journey swift reduces stress from customer service staff, leading to better productivity.
• Research & Data Analysis: Using machine learning to analyze data and develop effective and efficient solutions helps speed up the process 3X times than any human to do it manually.
• Medical Advancement: AI in the healthcare sector has been rapidly increasing nowadays. Monitoring and diagnosing patients remotely and helping them achieve quicker solutions have been proven beneficial at the consumer's end.

From giving prompt opinions on search engines and Siri in smartphones to robot waiters at restaurants, AI is increasingly becoming a part of our day-to-day lives. The expanse for change and progress in AI is immense, and it will continue transforming the world in diverse ways in the future.

Artificial Intelligence technology is evolving steadily, and it can become more intelligent than ever. While there is no surefire way of foretelling the fate of AI, it will undoubtedly continue benefiting businesses and end-users in their everyday lives.

4. Blockchain Technology

Blockchain technology is most commonly described as a decentralized, distributed ledger that records a digital asset's derivation. Blockchains are structures that store transactional records in various databases.

Blockchain technology can replace these various platforms with a network of nodes. For instance, it can potentially change the reviewing and publishing market or even make musicians' careers more lasting. For voting systems, blockchain technology can digitalize it, decrease voter tampering, and improve voter participation.

Furthermore, blockchain solutions offer numerous healthcare industry opportunities, such as sharing patient data among clinics and research institutes.

The Blockchain positively affects financial services by removing a trusted third party intervention. With its help, firms can also reduce transaction costs and enable cross-border affairs in less time and without having to check for currency exchange fees.

Not only this, but it's researches focus on the supply chain as the "most trustful non-finance application of blockchain," which is now believed "to give a real return on investment in the early stage of its development."

How does Blockchain Technology work?

Blockchain technology is a public electronic ledger that is built around a (Peer 2 Peer) system. This system can be openly shared among different users just to create an unchangeable record of transactions.

Each time this process is followed, the new build is stamped and linked to the previous one. Every time a new set of data is added, the new data becomes another chain block, which creates a long string of chains.

Blockchain can only get updated by the approval of the participants in the system. That is why, once new data is entered, it can never be erased. It is a write-once, add-many technology that makes a valid and auditable history of every transaction.

For Banker- The greatest benefit of Blockchain technology is that as long as a single node or chain exists, data or records are also secured, making it accessible to rebuild the entire network.

Benefits of Blockchain Technology

• Wealth Redistribution- Blockchain technology can create new businesses and modify existing ones in ways we cannot imagine. For instance, it can facilitate nano-payments proportionate to an individual's participation and value creation on the Internet while making it an ideal wealth redistribution tool for our digital age.
• Decentralization- As one of the fascinating aspects of the Blockchain, decentralization is also its key benefit. Instead of being stored in any single point, the blockchain system is completely decentralized, which means an overarching authority can't advance its program and hack the network.
• Ease of Use- With enough combination capabilities, Blockchain has the convenience of being straightforward to use and fast. The flow of data or money is quicker because of the lack of intermediaries.

  In traditional banks, huge volume transactions take multiple days to complete due to different protocols or transferring software. Besides, financial institutes have fixed working hours while online transactions are also not permitted on holidays in some countries.

  Blockchain technology works on a 24×7 basis, which means any day or any time, transactions can be made immediately and securely.

• Transparency- Users can verify and track transactions in a public, decentralized ledger. Any person can see the entire history of transactions. Besides, the software, being open-source, any change of data is incredibly difficult.

  With various eyes adhered to the network, any modification in the logged data comes into notice, which adds to Blockchain's transparency and safety.

• Security- Once every block or node is sealed cryptographically, it is impossible to copy, delete, or edit, guaranteeing the digital ledger's immutability.

  On top of this, every transaction requires the digital impression through both private and public keys, which use different cryptographic schemes, ensuring full encryption. Thus, it makes your data safe and secure all the time.

As an innovative technology, Blockchain's result has been felt across the globe and in all sectors, including consumers, governments, private industries, and communities. It has yet to reach many sectors and rule the world.

5. RPA (Robotic Process Automation)

The term “Robotic Process Automation” indicates concepts of physical robots sauntering around offices doing human tasks. The word actually means automation of service tasks that humans previously performed.

Robotic process automation (RPA) is a productivity tool that enables a user to configure one or more scripts (which some vendors refer to as “bots”).

This allows users to activate particular keystrokes automatically. As a result, the bots can copy or follow chosen tasks (transaction steps) within an overall business or IT process. These may include handling data, cross-managing data to and from different applications, triggering responses, or performing transactions.

Robotic Process Automation uses a blend of user interface interaction and descriptor technology. The scripts can easily overlay on one or more software applications.

RPA uses user interface and program scripts to automate the tedious and routine works. It is of 2 types, Attended mode and Unattended Mode. With the Attended Mode, major jobs can quickly be done with humans’ interference, and in an unattended RPA, the technology can do major jobs without any human interference.

Thus, The most common uses of RPA programs simplify the repetitive functions or data-intensive processes, where logic-based outcomes are expected.

This top place holder of theemerging technologies is often considered as a human replacement, but in reality, it is a human supporter as it relieves humans from silly daily routine tasks. As recommended by technologists, this trending technology will continue towards betterment as long as it is fueled and used.

The incorporation of this technology doesn’t necessarily mean robots can take away jobs. In fact, these boots would allow CIOs to free up most of the employees from unnecessary routine tasks that consume much of their time. Additionally, it will advance the organization’s digital transformation efforts.

Benefits of Robotic Process Automation

• Increased Employee Engagement and Customer Satisfaction The most crucial aspect of any business is employee engagement and customer experience. RPA projects work very efficiently in implementing necessary steps, retrieving essential data, and employee engagement. Secondly, customer satisfaction is something through which any business runs.

  Robotic Process Automation technology is critically advantageous for positive customer experience as it has the power to analyze human behavior and provide the best possible response for their retention.

• Improved business results To improve business metrics, it is crucial to focus on value-added activities for employees. Once we focus on employee benefits, the results automatically start coming in. In this way, RPA helps reduce the burden of lower-value tasks by automating them. This lets humans focus on the higher-value job with higher benefits.
• Decreased risk Improved business results To improve business metrics, it is crucial to focus on value-added activities for employees. Once we focus on employee benefits, the results automatically start coming in. In this way, RPA helps reduce the burden of lower-value tasks by automating them. This lets humans focus on the higher-value job with higher benefits.

  System upgrades often tend to go overboard and still deliver below average results. RPA technology projects are always in the low-risk zone and non-invasive that get completed quickly without disturbing the existing systems.

• Reduction of data entry errors and other manual errors One of the most significant benefits of RPA is that it doesn’t get distracted. Once the setup of the RPA completes, there is minimal to no risk of manual errors. Reduction in mistakes results in higher customer satisfaction and business growth. However, it is always recommended to monitor the RPA operations from time-to-time to guarantee no-errors.
• Rapid service Employees entering forms into the system, re-doing the tasks, or manually entering data, takes a lot of time and effort. RPA bots work at lightning speed, with minimal to no technology errors and without a break. This helps in saving a lot of unnecessary actions and time, which results in efficient business growth.
• Employee satisfaction increase No one wants to spend time copying data, sending the same emails, or even having an unnecessary conversation. As per the BCG study, employee appreciation at work is one of the most vital drivers for their satisfaction.
  
  RPA empowers employees while aiming at automation development. This makes the employee’s environment more exciting, and they can focus on more challenging tasks while increasing their job satisfaction.

6. Digital Marketing

While you are reading this, you are a part of a Digital Marketing platform. Leveraging social channels such as search engines, social media, email, and other websites to connect with potential customers in different areas is Digital Marketing.

To get the best of digital marketing technology, marketers nowadays have to dig deeper into people’s minds and discover strategies that will mark their minds about the brand.

At this stage, digital marketing is an excellent resource of business retention, and similar is the career in it. Before getting into the money-making process, let’s discuss it first since it is a broad subject with many branches.

There are many social platforms where you can interact and engage with your target audience in a day, and properly utilize it as your medium is the key.

• Paid search- Pay per click (PPC) advertising, a sponsored banner on the top or side of a search engine results page (SERP). These ads charge you for each click and tailor them to appear when any specific terms are entered. A person’s online activeness is also used to target these ads to them at the right time and place.


• Content Marketing- Instead of pitching your products or services, you provide genuinely relevant and useful content to your prospects and customers to solve their issues. Content marketing gets businesses three times more potential customers than paid search advertising, making it an effort worth making.


• Social media marketing: It is a powerful way for businesses of all sizes to reach prospects and customers by creating and sharing content on social media networks to achieve your marketing and branding goals.


• Email marketing: Effective email marketing converts prospects into customers and turns first-time buyers into recurring customers. To succeed, you should satisfy five core attributes. They must be tr


• Mobile marketing- Marketing your brand’s business to appeal to mobile device users. SMS, MMS, and in-app marketing are the options to reach your customers on their devices.


• Marketing automation: This helps companies identify potential customers, automate training those leads for sales, and give more prosperous and detailed information to their consumers.

Importance of Digital Marketing

• Innovative Technology- The importance of digital marketing workly in favor of marketers and provides something innovative to consumers. Let us have a look at the ten importance of digital marketing.


• Low-Cost Technology- Growth Options for small business ideas reach the right audience at a lesser cost. According to data, 32% of small businesses invest in social media only. 25% in online marketing and 17% in SEO.


• High Conversion Rate- High Conversion Rate SEO, Social media marketing, and Email marketing are methods that have a high conversion rate as they can generate a quick and effective communication channel with the consumer.


• Establishing brand reputation-it has become evident that customers always prefer a company that does not have any scandals. With digital marketing, there are multiple ways to develop a personal rapport with your customer base.


• Better Return of Investment- Using web analytics helps the brands know whether their website is providing optimal ROI or not.


• Planned Approach- Digital Marketing is Cost-Effective Planning your budget and optimizing your marketing strategies with the right tool can help small businesses reach their niche and help you make profits earlier than expected.

7. Machine Learning

With the rapid development of new computing technologies, machine learning is a fuel of the past. It was born out of the researcher's curiosity who wanted to see if computers could learn from data or not.

Researchers curated pattern recognition and computer-related theories to program the technology of Machine learning, and that's how Machine Learning was born. Machine Learning technology grasps information from the previous computation data and produces reliable, repeatable decisions and results out of it.

In simple words, Machine Learning is a method of data analysis that gives automated freedom to an analytical model building. It is a vital branch of Artificial Intelligence based on the idea that systems can automatically learn from existing data, identify patterns, and make decisions with minimal human interference. It can automatically apply complex mathematical calculations to big data – over and over, faster and faster.

Machine Learning entirely focuses on the development of computer programs that can be done without any human help. Isn't that amazing? Like a machine doing all of the calculations and data derivation while following simple predefined patterns. I truly feel amazed. This is what we call the 'Power of Emerging Technologies.'

Why Machine Learning?

The field of machine learning is continuously evolving. With the evolution of any technology, there comes the point where its demand and importance continuously increases.

The major reason behind making machine learning the future of human development is 'It's highly valued guidance, better decision making skill, and smart actions without any human intervention.'

Machine learning, as an emerging technology, analyses the enormous amount of data chunks. With the advent of this technology, it has successfully replaced traditional statistical techniques. It has eased data scientists' tasks by making things automated and changed the way of data interpretation and extraction.

Machine learning in your daily life-

• Virtual Personal Assistant- You might find this intriguing, but whether it is our favorite Siri, Alexa, or Google, machine learning is all around us in the form of Virtual Personal Assistant.

  These machine learning development assistants help us in finding information when asked over voice. All you need to say, 'Hey, Siri/Alexa' or 'Ok Google' to activate them. These assistants lookout for the information, recall your related queries, or send a command to other resources (like phone apps) to collect info.

• Face Recognition: Have you ever wondered how Facebook instantly recognizes you or even your friend every time to upload a picture on it? It's all about Machine learning. Facebook checks pose, and projections in the uploaded picture capture the unique facial features and then match it with the people from your friend list. This entire process takes a second time and makes you feel surprised forever.
• Traffic Predictions: Do you remember those days when we used to sit back for long-long hours in the traffic, wondering when we can reach the destination? Coz' I remember it very clearly. With the development of GPS navigation and traffic prediction, our lives have become super easy and smooth.

  Machine learning GPS services capture our current location and store the data of the traffic. Based on such scenarios, it predicts the estimated regions where congestion can be found based on daily experiences.

• Customer Support-Virtual Personal Assistant- You might find this intriguing, but whether it is our favorite Siri, Alexa, or Google, machine learning is all around us in the form of Virtual Personal Assistant.

  These machine learning development assistants help us in finding information when asked over voice. All you need to say, 'Hey, Siri/Alexa' or 'Ok Google' to activate them. These assistants lookout for the information, recall your related queries, or send a command to other resources (like phone apps) to collect info.

  Nowadays, it's quite common to use machine learning in the customer support area. Numerous websites offer the option to chat with customer care representatives while you're navigating the website.

  During this time, you talk to chatbots, extract information from the website, and answer your queries. If they are unable to solve the problem, they let you connect to the human representative.

  Except for the real-life examples shared above, there are numerous other ways machine learning has proven its potential. The list is long, and we will share more some other time.

8. Video Editing

The process of merging sounds, images, and videos to create a story in a movie using Non-linear editors (NLE’s or fancy video editing programs) is called Video Editing. It can become as complicated as adding additional computer-generated imagery (CGI), audio and tying together other elements, which may take years, thousands of person-hours, and millions of dollars.

Digital creators have also now switched to video content to engage with their audience and build relationships with them. Suppose you are not an expert in video editing but want to influence your crowd towards your profile or business. In that case, there are video apps that do not necessarily need professional help.

These are all different edits and cuts that you need to learn to make a well-bound story. Once you excel in the edit types and know why each one is important in different situations, you can make your projects more engaging and your editing more productive. You can build a whole editing style of your own that reflects your creative side. So, let’s learn something about some trending video editing technology :

• Apple iMovie: If you’re looking for simplicity and elegance, it doesn’t get much better than Apple iMovie. iMovie’s ten high-fidelity filters are some of the classiest in the video editing game.


• Lumen5: This comes more into the category of a video editing “tool” than video editing software. But for social media marketers who want to create fun, flashy social promos in the blink of an eye, Lumen5 is an excellent option.


• Inshot: This one comes with many tricks and effects that will make your video look super quirky and edited like a professional one. The premium version is affordable too.


• Corel Video Studio: Coral has all the characteristics of the other top-of-the-line software technologies/products on this list, including 360-degree VR and 4k support and motion tracking.


• Filmora from Wondershare: This one is intuitive and easy to use and comes replete with filters, overlays, motion elements, transitions, and a small selection of royalty-free music.


• Cyberlink Powerdirector: One of the fastest video editing systems around. It also operates consistently in the sphere of the innovative and cutting edge. PowerDirector led the charge in the switch to 4k, and today, it’s one of the first systems to support 360-degree virtual reality footage.


• Adobe Premiere: This one has been seen as an industry leader for quite some time now. The Guided Edits feature makes Adobe Premiere a particularly attractive option for beginners. It allows them to take on both quick edits and advanced projects with substantial assistance from the software


• Pinnacle Studio: Pinnacle Studio provides all the features that a designer expects from an upper-echelon product like motion tracking, 360-degree VR support, 4k support, Multicam, etc. If you require speed and don’t mind spending some extra money, Pinnacle might be the product for you.


• Adobe Premiere Pro: With an unmatched suite of features, 360 VR and 4k support, and a newly implemented ability to store, organize, and share assets online with your team, Adobe Premiere Pro is the complete piece of video editing software around.


• Apple Final Cut Pro X: For this product, you might have a little problem understanding as it is the most cutting edge in the video editing section, but if you are someone who loves exploring new features and interface and is an Apple fond, then you are going to enjoy this one. Isn’t all of them sound interesting? Tell us in the comment section below about your favorite one

9. Cyber Security

Every coin has two sides; one can be positive and the other negative. Every great invention of the world is susceptible to errors or malware hacks. Our lives, finances, entertainment, everything gravitate towards the world of ‘Internet.’ But this dependence makes it vulnerable to loopholes that can lead to malicious attacks, invasions of privacy, fraud, and other harmful activities.

That is why Cyber Security is an integral part of technology to secure the digital world. Cyber Security keeps us safe from hackers, cybercriminals, and other fraud agents and makes the digital world trustworthy for people all over the world. Thus, Cyber Security refers to the technology or processes intended to guard a network, devices, programs, and data from attack, damage, or unauthorized access.

We store unprecedented amounts of data on computers and other devices, making security an essential aspect of any person or a business. The government, military, corporate, financial, or even medical organizations collect and store massive data to ease the industry. To protect the data from any malware, we require cybersecurity technology in every step of internet surfing.

Threats of CyberSecurity Technology

• Cyber-crime- This type of Cyber-security includes single actors or groups targeting systems. The hackers indulge in these types of activities for financial gain or to cause disruption.
• Cyber-attack- This type of Cyber Security often involves politically motivated information gathering. The hackers collect government information against ransom or leaking threats.
• Cyber-terrorism- This form of Cyber Security is intended to undermine electronic systems to cause panic or fear. This is generally done for financial gain or to cause anxiety.

Due to the sudden increase in computer’s trending technologies, the global cyber threat continues to evolve at a rapid pace. There is a rising number of data hackers every year. As per the reports by RiskBased Security, there have been 7.9 billion data breaches in the first nine months of 2019 alone.

The figure was doubled to 112% of the data breachers of 2018. As long as we have hackers worldwide, we will have cybersecurity as an emerging technology because it will continuously evolve to defend the data against those hackers.

This proves the vital need for the technology of cybersecurity professionals in the field. The job market in this field is multiplying. It has been predicted that the world will need 3.5 million cybersecurity professionals by 2021. This will welcome five to six salaries in the initial stage of the career.

Here are few best Cyber Security courses one can do from any Cyber Security Institute:
• Cyber Security Expert.
• CEH v10 (Certified Ethical Hacker)
• CISSP (Certified Information Systems Security Professional)
• CISA (Certified Information Systems Auditors)
• CISM (Certified Information Security Manager)
• CCSP (Certified Cloud Security Professional)

10. AWS ( Amazon Web Services )

Who doesn’t know about Amazon? We all do. Amazon Web Services or AWS is a subsidiary technology of Amazon.com that provides a cloud computing platform. There are several other cloud service platforms like Amazon Elastic Compute Cloud (Amazon EC2), Amazon Simple Storage Service (Amazon S3), Amazon Virtual Private Cloud (Amazon VPC), Amazon SimpleDB, and Amazon WorkSpaces, that are provided by Amazon.

AWS works amazingly in providing on-demand cloud computing infrastructure and APIs to individuals, companies, and governments on a metered pay-as-you-go basis. Amazon Web Services are like virtual computer storage that includes Central Processing Units (CPUs) and Graphics Processing Units (GPUs).

AWS was launched in 2006 from the internal infrastructure that Amazon.com built to manage its online retail services. Amazon Web Services was one of the first companies to establish a pay-as-you-go cloud computing model that provides users with computing, storage, or a storehouse as needed.

AWS gives various tools and solutions for companies and software developers and is used in data centers in up to 190 countries. It is actively used by government agencies, education institutions, nonprofits, and private organizations.

In 2012, Amazon launched the AWS Marketplace to build the emerging technologies ecosystem by AWS contributions from third-party providers that have made their solutions on top of the Amazon Web Services platform.

The AWS Marketplace is an online store where AWS customers can find, compare, and begin using software technology. There are 100+ services provided in AWS like Storage databases, Data management, Migration, Hybrid cloud, Networking, Development tools, Big data management, Artificial intelligence (AI), Mobile Development, etc.

Benefits of Amazon Web Services

• Fast & Secure: Amazon Web Services is designed to allow application providers and vendors to quickly and securely host their new SaaS-based application or existing application. Any new user can use the AWS management console to host their platform easily.


• Flexible: Amazon Web Services enable its users to select preferred operating systems, programming languages, web applications, database services, etc. This makes AWS user friendly and flexible. AWS provides the user with a virtual environment that lets them ease the migration process for an existing application while preserving the data


• Cost-effective: Amazon Web Services is a cost-effective service that lets you pay only for the computing power, storage, and other resources you use, with no long-term contracts or up-front promises.


• Reliable: With AWS, you take hold of a scalable, secure, and reliable global computing foundation.


• High Performance: The Amazon Web Services is a scalable & high-performance tool backed by the massive Amazon infrastructure. You can access to compute and store data whenever you need them.


• Security: AWS uses an end-to-end strategy to secure and harden the infrastructure, including physical, operational, and software measures.

Security: AWS uses an end-to-end strategy to secure and harden the infrastructure, including physical, operational, and software measures.

Now, as you have collected a lot of information about the emerging and trending technologies of the world, it’s time to share our efforts among your circle. Do like, share, and comment on your views on this curation of top technologies and tell us how we did.