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How Is IoT Becoming The Pulse Of Healthcare?

Various technologies also drive healthcare sectors. In fact, in the times of COVID, technology has emerged as the biggest boon. Most of us are relying on technology, whether we talk about healthcare professionals or common people. IoT or Internet Of Things is all about connected devices that transmit information, and thereby the machines act. 

It has remarkably increased in the last few years due to the use of IoT in the healthcare sector. As per the survey of Gartner, which was done on 511, US-based companies believe that IoT has become a part of our life. It is becoming a leading technology. IoT plays a key role in ensuring automation and a seamless flow of information so that the machine can perform flawlessly. Companies with revenue of more than $100 million revealed that 79% of the healthcare providers are using IoT in their production process. 

Moreover, many healthcare devices work on IoT. So, we cannot undermine the importance of the same. As per the research of Aruba Network, around 89% of the healthcare organization would have adopted IoT. The period between 2017 and 2020 is being called the Internet of Medical Things (IoMT). Thus it’s going to be an era of transformation.

Here are certain examples of how IoT is going to become the pulse of healthcare:

1. Remote health monitoring and telehealth– One of the first areas of IoT in healthcare is in remote healthcare and telehealth. There is a general shift in the way health care facilities are now administered to the patients. The rise in the demand for remote health and telehealth. It is expected that the global smart healthcare market will reach up to $169.30 billion by the end of 2020, and in this remote monitoring will play a key role. 

In the times to come, we are going to see a rise in the number of healthcare wearables and biosensors along with other medical devices, which will keep a tab on your health status. Smartwatches equipped with medical health monitoring has become very common. 

To leverage all this technology, there is going to be a demand for IoT developers, or companies can also opt for IoT training of their employees, thus making them equipped with all the information about the use of technology. AI, Big Data, ML, Deep Learning, all these are going to play a defining role in the field of technology. 

2. Connected inhalers- There is a great section of the society who are suffering from breathing problems. And many of us are using inhalers. But now is the era of connected inhalers. A company named Propeller Health has manufactured this smart inhaler. In this, the sensor is attached to the inhaler or Bluetooth spirometer. This then gets connected with the app, which helps the people suffering from breathing issues. This understands what might be causing breathlessness and also provides an allergen forecast. 

3. Ingestible sensors- Would you believe in the fact that there are ingestible inhalers. Proteus Digital Health has made ingestible sensors. These are designed in the form of pills that get dissolved in the stomach and produce a small signal which is picked up by the sensors that are there on the body. It will help in detecting whether the patient is taking medicine as prescribed or not. Did you know that as per the data of WHO, around 50% of the people don’t take medicine as directed? With the help of ingested devices, this problem can be easily overcome. 

4. Apple Watch that monitors depression– Yes, your hi-tech apple watch can now detect depression. The latter is the most common problem faced by people, and many of us don’t even get to know about it. But with this wearable healthcare device, depression can be easily detected. 

5. Coagulation testing – Yes, this is yet another advancement that IoT has made in recent years. In 2016, Roche launched a Bluetooth enabled system that can detect the blood clots in the patients. This is one of a kind device that has come in the market, and there are many others paving their way. 

These were a few of the many uses of IoT in the field of healthcare. IoT developers are working around the clock to create such devices, which can help improve healthcare working and administration. IoT training has become a must for most of the organizations. If you, too, are willing to become an IoT developer, then IoT training and IoT certifications are a must. There are a number of institutes providing such training programs, and all you need is the right learning platform. Global Tech Council provides an online IoT certification program.
Closing Thoughts- In the times to come, we are going to see widespread use of IoT in healthcare, and with IoT certifications, you can also have a prosperous career.


How Will Chatbots Affect Customer Service?

Do you wish to know your clients better? Want to know about chatbot programming? Have you ever wondered how chatbots will affect customer service? If yes, then you have arrived at the right page. The blog illustrates some powerful advantages of chatbots in customer service. 

We have seen chatbots appear as one of the current hot subjects. With the implementation of chatbots, you can enhance your brands. Thanks to machine learning and artificial intelligence, today chatbots have become one of the crucial tools for customer service activities. 


Some call bots as interactive agents and others say they are artificial conversation systems. There is a high demand for chatbot developers in customer service. 

A chatbot is a coded program that can speak with humans through live chat. A chatbot can perform several activities within a conversation. Artificial intelligence chatbots are more enhanced and flexible as compared to simple chatbots. AI chatbots powered by machine learning and artificial intelligence can utilize natural language processing techniques. 

How chatbots can enhance customer service?

Chatbot technology is becoming a part of the digital world. There is no doubt that chatbot training is in huge demand. There are an extensive variety of bots available in the market to inspect weather conditions, games, organize travelling and so on. Facebook has more than 30,0000 chatbots available. Chatbots are good at a large volume of requests, several parameters of input and focused scope. Many companies have started using customer service chatbots. 

Here’s how chatbots can transform the customer service experience. 

  • Messaging assistance growth

Chatbots are a popular artificial intelligence technique for enhancing connections with customers through messaging assistance.  A chatbot is a core element that develops and enhances the messaging service. They can develop and learn from each conversation to help customers in an enhanced and better way.  Chatbots offer convenient and quick assistance through messaging. Hence, they develop the messaging assistance service. 

  • Track client satisfaction

Many organizations struggle to utilize and assemble client satisfaction information. Chatbots can help to record the satisfaction level of their customers. Chatbots study can tap into a younger crowd. You can acquire more reliable information with chatbots. Hence, bots can improve and enhance response rates by tracking the client’s satisfaction level. This will help to make more strategic conclusions. 

  • Less customer stress

Customer service chatbots can reduce stress levels. Chatbots survey the entire process of client experience and keep customers satisfied and happy. By having the alternative to talk to a chatbot can reduce the level of stress as the chatbots provide an immediate reply. 

  • Smooth live chat

Chatbots provide better communication with customers. Client service chatbots are basically developed to offer faster solutions and reduce speaking time. Artificial intelligence chatbots can offer seamless live chats. Many chatbots utilize natural language processing tools to examine the client’s query and to convey an answer that meets the client’s requirements. The customer staff requires sleep but your bot doesn’t. Chatbots provide 24/7 service. Chatbots can give responses at any time so that customers don’t have to stay for a reply from email or message. Hence it conveys a smooth live chat platform. 

  • Reduced IVR

In the process of customer service, IVR systems are one of the biggest complaints of the clients. IVR is an interactive voice response system. These systems are widely routed and structured. In IVR systems, customers have to listen to the full menu which is very frustrating. With IVR customers are unable to get a customized reply. IVR is basically not an up to date system. Chatbots can replace these IVR former systems.  With chatbots, customers feel like they are being understood and cared for. Thus, Talkbots also reduce the price and time related to shifting a client between several divisions. 


Chatbots are becoming a significant portion of customer experience. We have seen more than 85% of chat discussion resolved by a chatbot. Communicating with clients via live chat sessions has become a favored method to offer real-time customer experience. With the implementation of deep learning techniques, it is also possible to forecast the advantages of a client service chatbot. 

If you want to know more about chatbots then, you can check out chatbot certification provided by the Global Tech Council website. 

Elevate Your Career in Data Science Expert

If we talk about one of the most lucrative career options of the modern-day, then Data Scientists take the lead. In fact, as per the Harvard Business Review, it is the most lucrative career option that opens a wide gateway of opportunity for those who are seeking for making a career in the field of technology. There is a growing demand for data science expert across different industries, this is primarily because data plays a key role in redefining business strategies. The data that lies with most of the industry is raw and segregated; it is the work of data scientist to arrange this data in a way that useful information can be derived from the — most of online data science certification program focus on imparting practical learning experience. 

Elevate Your Career in Data Science Expert

A career in data science 

After successful completion of data science training, you will become eligible for various positions in different industries. Some of the popular job profile that you can get after becoming a data science expert:

  1. Data Analyst- This is an entry-level job where the primary responsibility of the data analyst is to look at the data available with the company and based on it, they have to give answers to the questions. For example, they will have to look at the sales data and predict the strength and weakness of the same. 
  2. Data Scientist – This profile is similar to the data analyst, but they are majorly concerned with building machine learning models that study the past data and based on it to the forecasting for the future.  If you are already working as a data scientist, then your next profile would be a senior data scientist. You may later enhance your career prospects by becoming a machine learning expert. This is a more technical field wherein you would be required to have in-depth knowledge about the technical and mathematical skills. As a data scientist, you can expect your salary to be around $20,000 or more yearly. 
  3. Data Engineer– They manage the company’s infrastructure. Their work profile is more on software development than statistical analysis. They are responsible for building data pipelines to collect the sales data, marketing data and send it to the data analyst for further analysis.  

Other prospects of data science-

Well, data science is a huge field that has a wide scope of opportunities. If you are planning to make a career in this field, then apart from the careers mentioned above prospects, you also have the following job options:

  • Machine Learning Engineer
  • Business Analyst
  • System Analyst
  • Marketing analyst
  • Business Intelligence Analyst
  • Operations Analyst

The Future-With such a huge spectrum of job opportunities and learning profiles, data science is definitely a great career option. If you too are willing to make your career grow, then you can opt for a data science certification program offered by Global Tech Council. It is a comprehensive program that offers a complete insight into data science, its use cases, and application. Besides, practical learning experience ensures that you know how to use the theory into practical application development. So, if you wish to grow professionally and stay ahead of the competition, then data science certification is a must.

How To Become A Chatbot Expert?

If you have had a look at any of the websites, you would have recently noticed a pop-up window that interacts with you. These are chatbot programming that is a gift of AI. These are interactive bots that interact via chat or voice. Chatbots programs are being actively used by companies to make themselves more customer-friendly. These are the marketing tools that let you interact with users seamlessly. Eventually, it helps in solving their query and answer it in no time. With the growing use of chatbots, there is a great demand for certified chatbot experts. These experts know how to develop flawless chatbot applications and integrating them with your current business operations. Chatbot certification has become a career option.

Tips to follow:

Here we will be discussing, how can you become chatbot expert:

  1. Read about chatbot- If you are a beginner in this field, then the first thing that you need to start doing is to start reading about chatbots. You can pick any online magazine or research paper that will acquaint you with the knowledge about chatbots. 
  1. Choose the right platform for chatbot online course- One of the good parts about this chatbot certification course is that there are bay institutes offering online chatbot courses. There are several online platforms like Global Tech Council offering online chatbot certification course. With this certification, you will get complete insight chatbots. Building a chatbot application and syncing it with the current business platforms. 
  1. Learn about the use cases of chatbots- besides, choosing the right platform for learning chatbot, it is important that you must learn about its different use cases. There are several applications of chatbots, some of the common use cases of the same are :
  • News and Notifications
  • Financial services
  • Fashion
  • Healthcare
  • Gaming
  • Shopping etc. 
  1. Get the hands-on experience– It is very important that you must check if the platform or institute that is rendering chatbot certification will give you hands-on experience or not. Choose a platform that not only lets you learn about chatbot theories and principles, but at the same time, you also get to know about the application part.

What will the Global Tech Council offer you?
Global Tech Council matches all the industry standards and has curated this comprehensive curriculum on chatbots training where you will get a complete insight into this course. As a part of this course, you will learn about Natural Language Processing, AI, neural network, tensor flow, deep learning etc. The objective is to give you a complete insight into chatbots and allied concepts. After the successful completion of this course, you will be able to develop chatbots and interlink it with the current website. So, if you are looking for making a career as Chabot experts, you must join this certification program.

What Are The Primary Reasons To Learn Hadoop?

The Hadoop market is currently undergoing a gigantic evolution and is showing no signs of deceleration. Being skilled in big data and Hadoop could be the perfect tool to aid you in going from your current career to your dream career.

Big data means large volumes of data. This can mean both structured and unstructured data. Hadoop is one such technology that is responsible for processing large datasets. It has evolved as a comprehensive big data platform. Apache Hadoop is an open-source framework that facilitates a network of computers to solve problems requiring massive computational power and datasets.

What are the Primary Reasons to Learn Hadoop?

Having understood what big data and Hadoop are, let us now delve deeper into the primary reasons to learn Hadoop.

Primary Reasons for Learning Hadoop

Hadoop is gaining immense popularity nowadays and learning it will offer the following benefits.

1. Enhanced Career Opportunities

A majority of the companies are looking for skilled IT professionals with prior knowledge in business intelligence and Hadoop ecosystems such as Pig, Hive, MapReduce, MongoDB, etc. This immense demand for Hadoop can be directly attributed to Hadoop being the most prominent technology as it can handle big data in a cost-effective and scalable manner. Hadoop professionals get opportunities from several industries such as finance, healthcare, agriculture, sports, energy, etc. Holding a certification in Hadoop is an added advantage. Candidates will be eligible to apply for positions such as data analyst, Hadoop administrator, data scientist, big data architect, Hadoop developer, etc. Hadoop is credited with being the strong pillar of IT big data systems such as Google, Facebook, Apple, Yahoo, Amazon, and eBay.

2. Revolutionizes Numerous Domains

Nowadays, big data is leaving no stone unturned. This implies that big data has become a major part of each and every industry, thus allowing organizations to leverage its capability to improve business values. The common domains that are rigorously using Hadoop and big data include government, banking, healthcare, retail, transportation, natural resources, and media and entertainment.

3. Scarcity of Big Data Hadoop Professionals

As discussed earlier in this article, the job opportunities for Hadoop professionals are growing at a rapid rate. There are many job roles that are still vacant due to the huge skill gap that is still persistent in the market. This scarcity for big data and Hadoop technology created a huge gap between the demand and the supply of professionals. This is the perfect time for big data and Hadoop professionals to start your journey towards building a bright career. 

4. Caters to Different Professional Backgrounds

The Hadoop ecosystem offers various tools that can be leveraged by professionals from different backgrounds. For those from the programming background, the MapReduce code caters to different languages like Python and Java. If you are a professional with exposure in scripting languages, ApachePig would be the best fit. Those who are comfortable with SQL can go ahead with Apache Drill or Apache Hive. A career in big data and Hadoop will suit professionals across designations such as:

  • Software Architects.
  • Software Developers.
  • Project Managers.
  • Senior IT Professionals.
  • Data Warehousing professionals.
  • Testing professionals.
  • Mainframe Professionals.


I hope this article gave you a brief overview of the primary reasons to learn Hadoop. To become a big data expert and get instant updates of big data certifications, check out Global Tech Council.

Significance Of Hadoop For Data Science

Data science is a blend of various algorithms, tools, and machine learning principles that operate with the goal of discovering hidden patterns from raw data. It is used to make decisions and predictions by using prescriptive analysis, predictive causal analysis, and machine learning. Data science experts work in the realm of the unknown. Some of the data science techniques are regression analysis, classification analysis, clustering analysis, association analysis, and anomaly detection.

Significance of Hadoop for Data Science

In this article, we will analyze the importance of Hadoop for the field of data science.

A Brief Introduction To Hadoop

Apache Hadoop is an open-source framework that facilitates a network of computers to solve problems requiring massive computational power and datasets. It processes the datasets across clusters of computers with the help of simple programming models.

Three Main Components of Hadoop

Let us now understand the three major components of Hadoop.

  • Map-Reduce- This component is responsible for high-level data processing. It helps process a large amount of data over the cluster of nodes.
  • Hadoop Distributed Filesystem- This is the storage component of Hadoop, which is a collection of master-slave networks. A Hadoop Distributed FileSystem has two daemons such as name node and data node running on the master and slave nodes, respectively.
  • YARN- This component is used for resource management and job scheduling. It is difficult to allocate, manage, and release resources in a multi-node cluster. Hadoop YARN helps manage and control these resources efficiently.

Role of Hadoop in Data Science

We will now list down the various areas in which Hadoop plays a significant role in data science.

1. Hadoop for Data Exploration

A data scientist spends 80% of his time in data preparation and data exploration. Hadoop is good at data exploration as it helps data scientists discover the complexities present in data, even if they cannot make sense of it. It allows data scientists to store data as it is, and that is the whole idea of data exploration. It does not need a data scientist to understand the data when they deal with large volumes of data.

2. Hadoop for Data Sampling

It is not possible for a data scientist to build a model by taking just the first 1000 records from the dataset because of the way in which the data is usually written- grouping similar kinds of records together. A data scientist cannot get a good view of what is there in the data as a whole, without sampling the data. Using Hadoop for data sampling gives the data scientist a fair idea of the approaches that might work and those that might not work for data modeling. The cool keyword utility ‘Sample’ of Hadoop lets users down the number of records.

3. Hadoop for Summarization

Summarizing the data as a whole with Hadoop MapReduce will help data scientists get a bird’s eye view of better data building models. Hadoop MapReduce is used for the summarization of data. Mappers get the data and reducers summarize the data. Hadoop is also used in a significant part of the data science process, which is data preparation. It is both important and useful for a data scientist to familiarize himself with concepts like Hadoop MapReduce, Hive, and Pig.


Learning Hadoop would certainly prove to be useful for a data scientist as it helps speed up the learning process. Hadoop will let data scientists look for novel ways to leverage the big data of organizations.To become an expert in data science and learn more about data science certifications, check out Global Tech Council.

7 Things Digital Marketing Industry Need To Know About Artificial Intelligence

Industry expansion is dependent on various factors. When we talk about the latest trend influencing the business operations, digitization and AI are the most proliferating ones. Their impact has been impeccable and also paved the way for transformation. 

In today’s time, it would be difficult to imagine business operations without an online presence. Most of the companies are investing a huge sum of money in enhancing their online presence. Whether it is about enhancing the search engine ranking or brand awareness, virtual business presence is imperative for all.  But, again, it becomes important to mention digital marketing without an effective resolution to the customer means nothing. And, here, AI or Artificial Intelligence comes into the picture.

7 Things Digital Marketing Industry Need To Know About Artificial Intelligence

Today, most of the companies are merging the two technologies to create outstanding business operations, which can help in business growth.

Here are seven ways in which AI is impacting digital marketing industry:

  1. Chatbots– One of the first uses of AI, which more the companies are using, is Chatbots. These are developed to enhance the customer’s experience. It is a known fact that Chatbots can perform better than humans and that too without error. So, you can expect them to enhance user experience. It also helps in backlinking to a company’s website, thus increasing the traffic. 
  2. Customer preferences- Another important use of AI is in understanding customer preferences. E-commerce companies can make use of the AI tool to understand what kind of products consumer is looking for and what is their budget. Based on this, the companies can showcase the product of similar preferences, thus ensuring better customer service.
  3. Digital Advertising – Another area of application of AI in digital marketing is in digital advertising. For example, Google AdWords uses an automatic auction-based system that allows advertisers to plan the lowest possible cost per conversion. Facebook makes use of Machine Learning and AI. It is used to understand a user’s interests, demographics, and preferences. 
  4. Content curation– when it comes to AI, then there is yet another area of application of the same in the field of digital marketing, and that is content generation. With the help of AI, the content generation process can pick up the pace. The research is done on the topic, and the content is written as per the same and that too automatically, thus ensuring error-free content. 
  5. Understand the market– One of the most important uses of AI is helping in understanding the market and demographics. Based on this, the companies can strategize their more customer-oriented policies. 
  6. AI helps in shopping- Augmented Reality, which is a vertical of AI, is also picking up pace in the retail market. With the use of AR, thus the customer can try clothes without actually wearing the same. It eventually helps in enhancing the consumer’s experience.
  7. Email marketing– One of the important areas of application of AI is in email marketing. In times like today, when digitization has become prevented, we cannot rule out the importance of email marketing. AI has the potential to find the right information for the right audience. Using this feature, emails can be composed that is targeted towards a certain audience. All-in-all, it enhances customer’s experience by proving them more relevant data. 

Conclusion- All these benefits clearly indicate that there is a need for AI experts, and to become a certified artificial intelligence expert, you would need the help of platforms like Global Tech Council. The company is known to provide an artificial intelligence certification program, which entails all the details about artificial intelligence. After the successful completion of this course, you become an artificial intelligence expert and will hold great prospects of growth. 

Beginner Guidelines To Become A Cyber Security Expert

Who is a Cybersecurity Expert?

Cybersecurity expert is one who protects information from unauthorized access, illegal duplication, and theft. He analyzes where the risks are and then devises a strategy to prevent breaches. He fights against cyber criminals and those who use hacking methods and the internet to steal private or sensitive information from the internet.

Beginner Guidelines To Become A Cyber Security Expert

Cybersecurity Expert- Skills and Qualifications Needed

1. Outstanding Computer and IT Skills

  • Understanding of network safety protocols.
  • Familiarity with computer security systems.
  • Ability to configure, run, monitor, and maintain security programs.

2. Excellent Problem-Solving and Analytical Skills

  • Understanding the necessary procedures for solving problems and implementing protocols.
  • Identifying problems or breaches in security software.

3. Strong Decision-Making Skills

  • Reacting properly when breaches occur.
  • Developing the best solutions and understanding test results.
  • A logical and analytical approach to problem-solving.
  • Assessing situations and deciding on the best course of action

4. Routine Tasks of a Cybersecurity Expert

  • Testing for and correcting possible openings or weaknesses.
  • Analyzing the security measures taken to protect information.
  • Configuring security programs and tools.
  • Protecting information from unauthorized access, duplication, modification, or destruction.
  • Granting access and credentials to authorized users.
  • Updating defensive protocols and systems and running vulnerability tests.
  • Monitoring all access to information.
  • Writing regular reports on system status.

How to Become a Cybersecurity Expert?

At a time when the demand for cybersecurity professionals is soaring, you must grab every opportunity that comes your way to become an expert in cybersecurity. There are many ways to learn cybersecurity, such as reading books, blogs, articles, whitepapers, and other useful resources. If you are a student or just an aspiring individual who has time to physically attend classes, enrolling at a cybersecurity course in any renowned university would be a good option. But if you are a professional or someone who has very limited time to dedicate for learning but has the passion to master cybersecurity, signing up for certifications offered by online learning platforms would be the best option. Most of these courses are self-paced, and the best part is that, on completion of a course, you will be awarded with a certificate that will be globally acknowledged.

Choosing the Best

Though there are many online learning platforms offering certifications in cybersecurity, it is always important to choose and learn from the best. Global Tech Council is one such popular online learning platform that offers comprehensive certifications in the cybersecurity domain. 

A Brief About Global Tech Council

Quality is one factor to which Global Tech Council gives utmost importance. It is this determination to deliver superior quality, which has transformed Global Tech into a world leader of technical certifications. 

Acknowledged cybersecurity experts of Global Tech Council have carefully designed the cybersecurity certifications to provide comprehensive hands-on knowledge and expertise. It is an exam-based online certification that is self-paced and offers lifetime access to course content. 

Cybersecurity Certifications

The certifications offered by Global Tech Council in the cybersecurity domain are Certified Cybersecurity Professional, Certified Network Security Engineer, Certified Information Security Executive, Certified White Hat Hacker, and Certified Wireless Security Auditor. You can choose the course that will best suit your needs. Out of these certifications, let us now understand the concepts you will learn by enrolling in a Certified Cybersecurity Professional certification. This course will offer you a clear understanding of the elements of cybersecurity, cryptography, network security, application security, endpoint security, social engineering, Kali Linux, web application firewall, and much more.


Cybersecurity jobs are among the fastest-growing roles in information technology as organizations are setting up security operations centers (SOCs) and establishing IT security teams to monitor and respond to global security incidents. With many large corporations setting up their own cybersecurity taskforces, now is the perfect time for you to hop on to the cybersecurity bandwagon.

To know more about cybersecurity certifications, check out Global Tech Council.

Top 5 Countries Where Artificial Intelligence Change The Way Of Business Life

Artificial Intelligence though, has been in existence for a long time, but its increasing importance in recent years has made it create a transforming impact on business operations. Since 2010, AI has witnessed a compounded growth of 60%, and it will continue to grow in the times to come. We cannot deny the fact that AI is transforming our lives, despite many of us not knowing about the same. When we talk about AI technology, then its implementation is in every aspect of life, right from the programmed infotainment system to complex business operations, you can find its usage in all walks of life. 

AI comprises a wide range of tools that help people rethink how we integrate information, analyze data, and use the inference to improve decision making. When we talk about AI, then it’s a growing technology that is slowly influencing the world economy in different ways. There are many nations that are working aggressively in this field, but a few of them have created impeccable growth in the field of AI. Here is a brief overview of such nations.

Top 5 Countries Where Artificial Intelligence Change The Way Of Business Life

Top 5 nations in the field of AI

China– It is one of the nations which is progressing in the world of AI and other technologies. China has also made its intention clear of becoming the worlds’ leading AI innovator by 2030, Beijing has announced creating a US$2.1 billion AI-centric technology park, and Tianjin creates a US$16 billion AI fund. The investment in the field of AI in China has also received foreign funding, It received 48% of global AI venture funding which was more than the US. 

Germany- Another nation which is slowly progressing in the field of AI is Germany. The government is planning to accelerate its pace of development of AI technologies, and hence, ut has planned to invest €3 billion in AI by 2025. This research will focus on the implementation part of AI. The focus of the German government would be to adopt AI to expand its economy and improve competitiveness. As per a recent study in the nation, it is expected that AI can add €32 billion to the country’s manufacturing output. With the active implementation of AI, it is expected for this number to grow in the future.

United States– Amongst the leading nations which are investing in AI, the US is one of the highly progressive ones. It has been a leader in public and private AI research. In 2012, VC funded US$282 million in AI initiatives, and this number increased to US$5 billion by 2017. By 2018, this amount increased to US$8 billion. The coffer of investments that opened up in the US has helped many organizations to work on AI and allied fields.  

Japan- When we talk about Technology, then we cannot undermine the importance of AI. As per the Times Higher Education rankings, Japan stands third when it comes to papers published in the field of AI. Though Japan is still growing in the field of AI, it’s 55% of work activities are automated. 

UK– Another country that is working equivalently well in the field of AI in the UK. It has a public around 100 papers in AI.  DeepMind, which is the world leader in AI, was founded in Britain in 2010. It employs around 250 researchers and artificial intelligence experts.

The Way Ahead- 
With the growing number of nations investing in AI, there would need for certified artificial intelligence experts. There are a number of institutes offering Artificial Intelligence certification courses, which will give you a complete insight into AI and its application. Global Tech Council is one such institute which is providing artificial intelligence certification. You can enroll in this program and become a certified AI expert.

5 Ways To Become A Cyber Security Professional In 2020

As and when the world is entering the world of digitization, it is becoming more vulnerable to the outside attack. There have been several incidents when we have seen the cases of ransomware, phishing attack, data hacking etc. All this has surged the way for the need for cybersecurity which can guarantee the security of information.

In today’s world, we cannot shy away from the fact that we need to have a strong digital presence. While most of the companies are now focussing on garnering the attention of the digital user, it becomes imperative for them to provide their customers with the utmost security. Hence, arises the need for cybersecurity professionals who have expertise in this field and can implement secured ways to make the digital world experience safer.

Five ways in which you can become a cybersecurity professional :

If you are planning to become a cybersecurity professional, then you must begin with enrolling for the right program. There are different institutes like Global Tech Council, which are rendering online cybersecurity courses. After successful completion of this course, you will become a cybersecurity expert and can take your career ahead in this field in the following ways:

  • Security Architect- As a cybersecurity architect, you would be responsible for building and implementing network and computer security for an organization. They work in creating a system which cab combat cyberattacks, DDoS attack, malware, etc. 
  • Security consultant- These cybersecurity experts are required to assess the security risk, problem areas and solution for the same. They are responsible for protecting a large volume of physical capital and data.  
  • Penetration Tester or Ethical Hacker– Ethical hacking has become very popular, and it’s a growing qualification that many cybersecurity aspirants are looking for. They look for the vulnerabilities of the IT system, network and application and based on it, find the solution for the same. 
  • Chief Information Security Officer (CISO)- This is a senior-level job that would require an expert in the field of cybersecurity. They build security teams and gauges over all the security initiates. They report to the CEO or CIO.  
  • Cybersecurity manager- they are responsible for overseeing cybersecurity programs; they focus on risk management. As a cybersecurity manager, they would require to work as a program security manager and technical security manager. 
5 Ways To Become A Cyber Security Professional In 2020

There are various other roles that a cybersecurity manager performs, but when these are the five ways in which you can take your career ahead in the field of cybersecurity. That’s why the Global Tech Council created five certification courses. That certification training focused specifically on the most critical issues facing cybersecurity professionals today — the innovative, online Certified Network Security Engineer, Certified Information Security Executive, Certified Wireless Security Auditor, Certified White Hacker, and Certified Cybersecurity Professional which is offered in 2 different ways self-paced and instructor-led training.