Trade finance, which is essential to the supply chain, must urgently modernize in order to keep up with the rapidly evolving cross-border trade environment. It can no longer afford to be mired in mountains of paper papers.

The negative effects of living in the past

One of the oldest industries in the world, trade finance has always required a lot of paperwork and labor. Unfortunately, the conventional trade finance system is quickly losing its viability due to advancements in automation and the need for speedier communication flow. A cross-border trade ecosystem is a complicated one that involves numerous parties and involves the constant exchange of tonnes of documents between them. If banks continue to manage trade finance in a manual and labor-intensive manner,

The negative effects of living in the past

One of the oldest industries in the world, trade finance has always required a lot of paperwork and labor. Unfortunately, the conventional trade finance system is quickly losing its viability due to advancements in automation and the need for speedier communication flow. A cross-border trade ecosystem is a complicated one that involves numerous parties and involves the constant exchange of tonnes of documents between them. If banks continue to manage trade finance in a manual and labor-intensive manner, the result is likely to be increased process inefficiencies, rising costs, delays in credit analysis, data privacy concerns, and, worst of all, an inexhaustible vulnerability to fraud. Although fraud is not new to the world of trade finance.

Duplicate trade financing is the most severe type of supply chain fraud that banks encounter. This problem, which arises when an invoice is financed more than once, has plagued the sector for a while. One of the most notable recent examples included Hin Leong, a Singapore oil trading company, which resulted in losses of over US$3.85 billion for more than 20 institutions. Duplicate trade finance fraud can be linked to a lack of visibility and openness that makes it difficult for financial institutions to work together and provide crucial information on time. Financial institutions can ill-afford to consistently be on the receiving end of such malpractices as competition heats up, especially with the rise of fintech companies.

The blockchain’s potential

Given the difficulties the current system of trade finance faces, the best course of action is to quickly begin modernization using blockchain. Using blockchain will help reduce many of the dangers and worries that are currently associated with trade financing. High volumes of documentation, including information on the goods, the shipping method, and the transaction, are exchanged in a supply chain flow. In a system where information is expected by the hour or even minute, timely communication of large amounts of information is extremely difficult. Processes now take days or even months to complete.

All transactions are stored in a database and then distributed to multiple locations and important stakeholders when trade financing is carried out on a decentralized blockchain. Immutability of information, better compliance, better activity tracing, and long-term cost and risk reductions are all made possible by this. Additionally, blockchain promotes higher confidence among supply chain actors by enabling speedier transaction tracking and increased overall transparency that is available only to authorized network users.

Realizing blockchain’s full potential

Multiple stakeholders, including importing and exporting businesses, logistics providers, banks, and insurance firms, interact in a cross-border commerce situation. All parties must be on board with the effects that digitalization will have on trade finance, demonstrate a strong dedication to the cause, and consciously work to align themselves with the goals of carrying out financing on the blockchain.

Financial institutions and other significant organizations must set the bar for blockchain adoption by taking the lead and exerting pressure on the rest of the network to do the same. This might also make it more urgent to develop laws and regulations that promote or compel the adoption of blockchain technology across the whole supply chain.

Read: How to Build a Career in Blockchain Technology

The post Is blockchain technology going to change how we finance trade? appeared first on .

In order to thrive in excellence, businesses around the globe have had to diversify the way they work. The diversification has fostered retraining of their massive workforce to facilitate them with in-demand skills. 

Evansadata, in its recent data, anticipated that 5 million developers will be needed to handle the challenging projects over the next five years. Further, as per the survey of Coursera on industry-level job skills, the majority of the industries are in desperate need of technological skills. 

So we are delighted to explain to you the top 10 skills to learn in 2022 and also how to monetize an existing skill. 

Learn and Monetize These Top 10 Skills in 2022! 

1. Artificial Intelligence and Machine Learning: 

In the age of highly advanced technological breakthroughs, some innovations such as Artificial Intelligence and Machine Learning are promising future. With groundbreaking revolutions like driverless cars, facial recognition software, and surgical robots are evolving, with a broad range of applications for the Fintech, Healthcare, and Education sectors. 

As per the data of Semrush, between 2018 and 2025, the Asia-Pacific region will witness a huge compound annual growth rate. In addition, the predicted AI annual growth rate would be 33.2% between 2020 and 2027.

Artificial Intelligence facilitates a distinct range of career paths.

• Machine Learning Developer. 
• Data Scientist.
• Software Engineer. 
• Data Engineer.  

2.. Full Stack Development: 

The need for highly skilled developers is augmenting at a brisk pace compared to other areas of IT. The respective skills are in massive demand across a wide range of industries, giving rise to an extensive range of opportunities. Being a professional full-stack developer you are allowed to create highly functional and attractive websites with basic knowledge of coding. 

Full-stack development is simple with low-code platforms like WordPress that ease the job to build a professional website in a very short time. The average salary for a full stack developer in India ranges is 6.7 lakh rupees. 

3. Data Science: 

Data Science is evolving as one of the must-have skills for an IT professional. A diverse range of businesses is already using it. Currently, it is one of the indispensable skills in the job market. Moreover, popular social media platforms like Instagram and others rely on data for their functionality. The average annual salary of a data scientist in India is 6.98 lakh rupees.  

4. Cloud Computing Enginneer: 

As per the report of Global Knowledge mastering cloud computing skills is predicted to be a highly in-demand skill in 2022. The job role includes creating a functional cloud platform to maintain it. These skills can lead to job positions like auditor, cloud developer, and architect.

5. UX/UI Design: 

The entire world is undergoing a huge digital transformation, the user experience has become increasingly important to captivate the traction of wide range of audience. User interface is a design that evaluates the customer’s views towards a specific product aiming on efficiency.  

6. Blockchain Development:

The Blockchain technology has been one of the recent sensation in the tech savvy world. Despite being one of the nascent technology it has created a multi billion-dollar industry. As per the recent report by Statista, overall global expenditure in developing blockchain solutions would reach by $19 billion by 2024. 

The technology thrives to create a career  paths so that skillful person could work as: 

• Blockchain Developer. 
• Blockchain Solution Architect.
• Smart Contracts Engineer.
• Blockchain Quality Engineer.  

7. Cybersecurity: 

Digitalisation is happening at a breakneck speed. It is also equally important to secure all the platforms from potential hacks. Hence, choosing career in cybersecurity could also be a promising choice for good career growth. Currently it is one of the top trending jobs, mastering these skills will help you to build your career as a cybersecurity engineer.

8. Big Data. 

Big data signifies the harvesting and executing a huge chunk of data to exploit authentic information that enhances decision-making. Most precise decision making could save money and time, and this explains why mastering these relevant skills  would get you a job with good salary package. 

9. Augmented Reality (AR) and Virtual Reality (VR). 

 This is also one of the trending jobs with Facebook’s recent rebranding to Meta. AR and VR together referred to as Extended Reality (XR), the European market for the skill is anticipated to evolve 5x in the near future. Many businesses and industries already coming forward to adopt XR technology. Hence the demand for skillful professionals is high.

10. The Internet of Things (IOTs): 

The Internet of Things (IoT) has been the connecting brick that bridges digitally enabled gadgets to communicate, share data across the internet. Getting trained or mastering the relevant skills get you a job in diverse range of fields such as: 

• Data Analytics.
• Network Specialist.
• Artificial Engineer. 
• Cybersecurity Engineer.

The post The Top 10 High Paying Skills to Expertise in 2022! These Are The Skills Companies Are Looking Out For! appeared first on .

More than salary package, the present generation needs high job security, quick career growth
and a good reputation to make their career attractive. If you really want to be an integral part of
greater tech evolution, here is the list of the top 5 highest paying Machine Learning jobs.
India Shifts The Gears to Machine Learning! Find the high recommended jobs in 2022!

Machine Learning And Image Processing Engineer:

With the rapidly growing payscale in India for Machine Learning and Image Processing
Engineer, gaining the required skills would assure a polished future. Budding engineers will also
have the opportunity to be a part of this job role.

In order to get through, as an engineer, you should have knowledge of Edge detection, image
classification, object detection, and image segmentation along with the collective knowledge
of OpenCV and Python. Along with the working knowledge of Python web frameworks like
Django and Fast API, any graduate with any specification can apply for the job role. The national
average salary for the role would be 3,19,356 rupees per annum.

Interns- Machine Learning and AI:

The ML and AI sector have great potential for future growth, especially in India as it is still in its
nascent stage of development. The sector is proliferating with the great demand for ML and AI
engineers skyrocketing than ever. The engineers interested in the same need to have a refined
understanding of SQL and working with relational databases. The national average salary for the
intern role would be around 2.80 lakh per annum.

Research Engineer:

Understanding the needs of the consumers and hustling for the development in the same will be
the crucial task for research engineers. Hence these professionals thrive to integrate current
systems and processes via thorough research and building knowledge in the same. The excessive
demand for the role is gaining the traction of the majority of the applicants. The national average
salary for the role would be approximately 12 lakh per annum.

Machine Learning Developer:

The work of a Machine learning developer involves AB testing, accurate candidate ranking,
and effectual visualisations. The professionals also work on effective budget pacing,
researching new traffic, and mitigating the effects of selection bias.
In order to apply for the job role, applicants need to have a collective knowledge of foundational
math associated with Machine Learning like statistical models, probabilistic models, and
numerical optimization. The role pays you off between 7.5 lakh to 8 lakh per annum in India.

Data Scientist:

The role of the professional would be managing and researching the data, which will be
produced on a daily basis in the digital age. He makes a value out of data by proactively fetching
the data from genuine sources and whitepapers. The national average salary for the role would e
10,50,500 rupees per annum.

The post Highly Recommended List Of Top 5 Machine Learning Jobs in 2022 India! appeared first on .

Professional courses and certifications have many advantages. They can help you in:

• representative your skills and gaining trustworthiness
• Enhancing technical knowledge and up skilling
• Qualifying for senior-level jobs
• Staying abreast of the latest trends
• Acquiring experience and hands-on training

Top Trending Online Courses 

1. Data Science

Study programs in data science classically focus on big data analytics, data visualization, statistics, and prognostic analytics. The curriculum is designed for individuals pursuing technical job positions, such as data scientists, data analysts, business analysts, and machine learning engineers.

Whether you are a fresher, a marketing professional, or a software engineer, data science knowledge can advance your career. 

2. Artificial Intelligence and Machine Learning

Artificial Intelligence and Machine Learning  are the exciting technologies of the 21st century. AI and ML certifications can help boost the careers of IT professionals who have a background in mathematical or statistical fields.

Such programs cover various programming languages, tools, and libraries to equip students with the required competencies. Examples of the technologies taught include Python, MySQL, AWS, Docker, Kubernetes, Keras, REST-API, etc. Moreover, learning opportunities would expand when the syllabus is delivered via videos and real-life industry projects. 

3. Big Data

Big data certifications can help you go after more diverse roles than specific data science jobs. You can opt for different specializations depending on your background and career aspirations. Generally, learning tracks of big data certifications include:

• Business Analytics
• Data Engineer
• Natural Language Processing
• Deep Learning 
• Business Intelligence

4. Business Intelligence

BI professionals put their arithmetical ability to work and solve real-world business problems. Their insights can translate into actionable metrics, leading to changes in planning, operations, product development, and strategic management.

Therefore, their primary responsibility is to maximize the use of data in an organization to direct it on the path of successful performance. Training in business intelligence can help IT professionals build aptitude in:

• Data mining and analytics
• Data visualization
• Management reporting
• Using Excel, SQL, R, Python, Spark, Hadoop, etc.

5. Cloud Computing

Cloud computing is one of the top IT fields that is experiencing an emerging trend in 2020. As organizations around the world go after dynamic and scalable applications, the demand for cloud services is only going to rise.

While making the shift, companies encounter many technical challenges. So, having qualified people with domain expertise would be necessary. It is already a top IT job globally. Software developers can go for specialized programs in cloud computing to learn the following things:

• Understanding of cloud migration and multi-cloud environments
• Knowledge of serverless architecture
• Cloud security skills
• Building cloud-native technologies, virtual machines, microservices, etc. 

6. Project Management

Project management is one of the trending courses 2020 has generated interest in, for both employers and aspirants. Project managers ensure that work assignments are delivered within time and budget constraints. They assign tasks to the concerned members, set deadlines, and drive the project team to achieve the desired goals. 

7. Software Development

The primary duties of a software development job include designing, managing, and testing software applications. Being successful in this field requires efficiency in writing and implementing code. To build the necessary proficiencies, you can undertake training in Java programming, C programming, automation testing, SQL database, among other topics. Here are some of the job titles associated with this IT career:

• Computer systems analyst
• IT Coordinator
• Network administrator
• Systems architect
• Computer and information research scientist
• Junior software engineer
• Senior programmer
• Web developer

8. DevOps

As the title suggests, DevOps combines the Development and Operations arms of software applications. In today’s fast-paced marketplace, tech companies need to stay ahead of their competitors. And DevOps enables agile methods in software development. A DevOps-oriented study program would emphasize the following things:

• Agile methodologies for integration and deployment
• Creation and management of software lifecycle
• Continuous deployment through CI/CD practices and many more. 

To gain an in-depth understanding of the mentioned concepts, you can enroll in the specialized DevOps course, earning a software development diploma from IIIT-B and a data science certification from NearLearn. 

9. Digital Marketing

Digital marketing is an exciting subject for professionals like brand managers, sales personnel, entrepreneurs, and marketers. With increasing internet penetration and online activity, the scope of traditional marketing has also expanded. Digital marketing encompasses topics like Search Engine Optimization (SEO), content marketing, social media, and marketing analytics. 

Some popular examples include PG Certification in Digital Marketing and Communication on NearLearn. This online course is offered by MICA, a leading higher education institution in India. 

10. Blockchain

Blockchain is a rapidly growing discipline capable of bringing about significant transformations in the fields of real estate, healthcare, finance, insurance, among several others. The syllabus of blockchain development certifications comprises Ethereum, Smart Contracts, Hyperledger, Composer, Javascript, NodeJS, Solidity, etc. A background in engineering, mathematics, or computer science is a prerequisite for this stream. 

Blockchain is touted to be the disruptive technology that will dominate industries beyond 2020. Having a working knowledge of blockchain can prepare you for software development jobs and assist you in getting an accelerated start in business development, engineering, and operations. 

The post Top 10 Trending Online Courses in 2021 [For Both Students & Working Professionals] appeared first on .

What is Blockchain Technology?

Ten years ago, blockchain was combined with other innovative technologies to generate cryptocurrencies, starting with Bitcoin, the first cryptocurrency to be based on blockchain. It was the first time that blockchain was successfully integrated and executed. Alex from the Blockchain Research Institute but also everything that is worth it.

In simple terms, blockchain is an encoded distributed database that records data that resembles a computerized record of all exchanges, transactions, contracts, etc. One of the main strengths of blockchain is that it is an automated recording that is widely used on a large number of computers. This means that the Career in Blockchain can be accessed on a variety of computer systems and does not have to be linked in one place. With digital currencies like Bitcoin, smart contracts, and other innovative and revolutionary applications, blockchain has a huge impact on the financial and technical sectors.

The blockchain is useful for the secure transfer of items such as goods, money, contracts, etc. without an intermediary from a third party such as a bank or government agency. Once the information has been stored in a blockchain, it cannot be changed due to its stable functions.

All information contained therein is stored chronologically and is generally not processed by any of the authorized central organizations. Blockchain technology is becoming a valuable tool in the economic sector, as users access and execute transactions directly without the need for third parties to participate. These transactions are carried out securely by encrypting user information. The main advantage of blockchain technology is that it rarely faces data breach problems.

How does Blockchain technology work?

In short, you can think of Blockchain as a Google spreadsheet that is shared by a large number of systems around the world. The table is connected to the Internet and every time a transaction takes place, its details are recorded in the rows of the table. Anyone with a computer or mobile device can access the spreadsheet over the Internet after connecting. In addition, anyone who accesses the table can view or add transactions to the table, but cannot change the information it already contains.

How to Learn Blockchain Technology?

With this software, users can add blockchain to their programming skills. The best thing about this approach is that you don’t have to learn to code before you learn this technology. In this way, an interesting novice can learn blockchain and possibly use it for personal or professional purposes.

A better approach to learning blockchain is to find the essential basics behind this global phenomenon. After all, this is a revolutionary technology that can change lives significantly, and entering the world of blockchain technology can pay off in the long run. Still, you have to be very careful about how you initiate it.

Fundamentals

At the moment, you may be considering the easiest way to start your journey in the blockchain space. Well, if you are a beginner, there are certain basic terms you should know, such as:

Blockchain

It’s usually a blockchain. Each block contains a value or data that is cryptographically stored there without central monitoring.

Decentralized and distributed general ledger

A system that is not subject to a central authority.

Consensus mechanism

It is a method by which a decentralized network achieves consensus on certain specific goals.

Minors

Users who use their systems to extract blocks or to authorize them.

In addition to the terms above, you should also be familiar with the studies in the computer fields that have been introduced in Career in Blockchain Technology . These fields are divided into cryptography, distributed computing, and mechanism design.

Cryptography

Cryptography refers to the study of ways to establish secure communication between computer systems.

To determine the extent of cryptography, here is a statistic: Information in Bitcoin cryptography can guarantee the value of up to $ 300,000,000,000. This digital trend will continue to go beyond the more traditional methods of our society securing information or properties that we believe are valuable.

Cryptography is an essential part of the blockchain, as private and public keys are cryptographically encrypted so that nobody can hack them. Therefore, it is recommended to learn cryptography before learning blockchain.

Read More: How to Become an Artificial Intelligence Engineer?

Distributed Computing

Bitcoin designed the world’s first useful distributed trust network by introducing techniques such as digital signatures, unidirectional functions, distributed computing, mechanism design, etc.

Before Bitcoin was released, torrential websites were the only thing that could be considered comparable to peer-to-peer network nodes around the world. Although many of these websites are good enough, they haven’t managed to get people to work ethically and accurately on the network. Anyone can post anything without consequence, such as malware or copyright-infringing material. In addition, there was no reward for downloading quality information.

Mechanism Design

The design of the machine is another confusing part of blockchain technology, which is still extremely important. A cryptographer alone can protect the information, but there must be an incentive to have that information. For this to have value (and to prove that it cannot be spent twice), a distributed computer engineer can connect a computer network to disseminate information.

However, if there is an imbalance in the incentives created, a network becomes less secure than the torrent sites mentioned above. The design of the mechanism eliminates these problems and provides a safe working space for blockchains.

Join Professional Course to learn Blockchain Technology

If you are new to blockchain technology but are passionate and want to learn more, or are looking for career in blockchain technology, a blockchain certification course is perfect for you. A course is useful for people who want to learn more about relevant topics in cryptocurrency and the wider blockchain space.

You can also master the most important blockchain platforms. You will understand Bitcoin and how it works, the key vocabulary, and the concepts commonly used in learning blockchain. You can also learn about tools like Git, Docker, and even truffles.

Professional courses offer you blockchain lessons and valuable advice that guarantee a clear understanding of blockchain technology and its implementation.

The web is littered with hype about Bitcoin and other “blockchain-related” topics that don’t contain real-time information. So if you learn blockchain and how to use it in these courses, you will understand how to develop an example of a blockchain application.

Blockchain technology courses and programs provide you with a solid foundation that can help you build a great career in blockchain space. The courses give you, among other things, extensive knowledge of how you can create a blockchain use case in the future.

The courses cover many key concepts, from the cryptographic basics of blockchain technology to the authorization of decentralized applications on a private Ethereum blockchain platform. It is an ideal platform for programmers, engineers, or anyone who wants to learn how to implement the blockchain application and decode its potential.

Conclusion

Although Bitcoin is the most successful implementation of blockchain technology, it is much more comprehensive and has more potential than cryptocurrencies alone. It may be a new technology for some people and organizations, but it is on the verge of a revolution in the world of technology and finance.

While some industries use blockchain in different sectors, there are many others who only discover the possibilities. Many apps are tested daily and complement this exciting technology. And as soon as these apps are available to the global public, blockchain will permanently change technology and people’s lives.

What are you waiting for? If you are fascinated by blockchain and its applications and want to pursue a career in Blockchain Technology this growing industry, now is the time to learn blockchain and prepare for an exciting future.

NearLearn is the best institute that provides the best online blockchain training in India. It provides both classroom and online training across India. It provides other courses also as machine learning, artificial intelligence, data science, full-stack development, etc.

The post How to Build a Career in Blockchain Technology appeared first on .

Through Block chain, financial institution can reduce their operational costs to a certain amount. Similarly, the role of Blockchain in the future will come in useful as its commerce value-add will increase up to US$ 176 billion within the next five years.

This Blog post will emphasize its major advantages alongside its limitations that help you use Blockchain to correctly secure users’ data.

Offers corroboration along with Encryption

The best thing about using Blockchain is its imposing encryption feature that encrypts everything on Blockchain. This way, it becomes next to impossible to anger or alters the data available on it. fascinatingly, you can verify file signatures to make sure that they have not been changed on all the nodes across all the ledgers in the network.

Furthermore, you can use smart contracts in Blockchain that people certain validations when specific conditions are met successfully. In case someone does change the data, all the ledgers available on all the nodes validate that particular change in the network.

Provides Secure Data Storage

There is no denying data security is one of the most valuable kind of the Blockchain. Therefore, companies can option Block chain for securing their huge data suitably.

Hence, hackers, snoopers, and other cyber goons can not access the data stored on the Blockchain in any way. Surprisingly, Blockchain is used in dispersed storage software, and the data available on it is shared via a system of people. Therefore, organizations can manage their data without any trouble. The same way, public services can also take huge reimbursement from Blockchain to secure available public data accordingly.

Nearly not possible to Hack

It is incredibly harder to hack blockchain since the data is encrypted, decentralized and genuine by the entire network. As soon as you have stored the information on the ledger, cybercriminals cannot make changes to the data as they will need to cancel the signature first.

Different nodes on the network validate every lawful transaction. Therefore, hackers will have to hack most of the nodes at the same time that help them decrypt the Blockchain. This whole activity needs strange command and skills and fortunately modern day hackers do not possess such character at all.

Conversely, hackers target users’ devices 2300+ times daily. So, you are jump to use Blockchain when it comes to protective users’ data from hacking, data theft, phishing attacks and other security hassle.

Provides New Opportunities to Financial Institutions

Financial institutions like banks can apply Blockchain’s concept to decrease the likelihood of financial fraud to a certain amount. It means they can improve their users’ financial information right away. With Blockchain’s help, banks can easily share, view, and store their customers’ digital information.

Blockchain uses cryptographic encryption that secures every transaction, making it easier for banks to improve their overall security levels significantly.

Also,read: How to Build a Career in Block chain Technology

Few Limitations to Consider

in spite of making emission for all the rights reasons, Blockchain is still a new technology that will develop with time. Therefore, it is the high time for organization and other stakeholders to consider different factor before applying Blockchain.

You can consider these factors in the shape of difficulty, high energy use, etc. As far as Blockchain’s complex nature goes, different companies, including banks, have adopted Blockchain to some amount 

They have used a cross approach rather than going fully centralized or decentralized. As a result, difficulty would be increased to inconceivable heights. Similarly, Blockchain is famous for its high energy use.

For example, Bitcoin Core, an application of the Blockchain, requires 200 GB storage space approx in each node, a part of the Blockchain network.Aside from that, it needs 5 GB upload and 500 MB download daily. That said, Blockchain significance increases with each passing day because it has already started causal to different domains other than data security.

Conclusion

Blockchain can play a main role to secure public and individual data both. However, it depends on companies how they will apply this excellent unidentified technology within their premises. As well, organization can use Block chain next to artificial intelligence to improve its presentation, enabling them to secure their users’ data to a new plane.   

The post How can Blockchain Enhance Data Security in 2020? appeared first on .

State of AI 

AI is a buzzword today, but it hasn’t always been that way. Just a few years ago, it wouldn’t be very exciting to say that your company works with AI. Demis Hassabis, CEO of Deep Mind, said: “Seven years ago when you said the word AI to a venture capitalist, they rolled your eyes at you. Today they will throw $10 million at you.” Business is embracing AI with open arms, but the problem is that few people really know what real AI is, and companies and VCs have a hard time judging whether a company really works with technology or just takes advantage of the hype.

A survey by London-based venture capital firm MMC found that 40% of European startups that are AI companies do not use the field of study material. So how can you tell if the solutions sold to you are really AI-based? First, you need to understand what AI can actually do for you. You can find out more in our previous article. Second, you need to know a little more about the historical context of the area. Although AI has been around for over 60 years, significant progress has only been made in recent years in creating objects that resemble artificial intelligence.

History

The first intelligent machine was developed by Alan Turing in World War II. This machine, called Bomb, would decrypt the “Enigma” code that the German armed forces use to send encrypted messages. In 1956, the term “artificial intelligence” was adopted for the first time at the conference in Dartmouth. Since then, AI has become less popular due to the lack of computing power and has gone through several “AI winters”. It was not until the late 1990s that AI received considerable attention again. In 1997, IBM’s Deep Blue defeated reigning world chess champion, Garry Kasparov. From there, AI accelerated slowly thanks to exponential data growth, computing power, and hardware improvements.

Read More: Top 10 Best AI Apps 2020

How companies build AI

AI can be a series of if-then statements or a complex statistical model created using deep neural networks. If-Then statements are essentially just human-programmed rules, sometimes they are called rule engines, expert systems, but together they are called good old AI (GOFAI). These systems can be useful for performing repetitive tasks, but they have little to do with real intelligence. You can automate processes, but you don’t learn or improve without human intervention. You all know examples of this technology: most chatbots and accounting systems are based on it. Lack of robustness given the nature of the observed variation in naturally generated data, such as text, is also a problem for GOFA. And this type of AI creation is also very limited in the amount of data it can process. On the other hand, machine learning and neural networks require little or no human intervention. These programs change, are dynamic, and adapt to the data to which they are exposed. Thanks to this, they help people with their work and simplify their daily tasks. However, they may need a lot of data to function well.

The MMC report found that 26% of the study startups company said they used AI to power chatbots. However, it is difficult to assess the benefits that technology will bring to their customers. Chatbots are often difficult to navigate and more annoying than useful – they are only used to reduce the cost of human resources. The reason for this is that, although they are called “AIs”, they are rule-based systems that cannot really understand (see figure above). However, recent AI developments have enabled more complex generations of dialog-based tools that use automatic natural language processing (NLP) and deep learning to understand the meaning and respond in the text.

By transferring the text in vector representations while maintaining a numerical value, it is possible to process the text in a completely new way. The combination of NLP and transfer learning (application of pre-trained models on data) opens up new possibilities in terms of text creation, understanding and translation.

Where’s AI Today?

Natural Language Processing (NLP)

In 2018 we saw remarkable breakthroughs in speech and text. OpenAI GPT-2 generates stories based on short descriptions. The model is built to predict the next word. In contrast to similar models, the context of the entire text is retained by modeling the text so that it is displayed from all entries. Previous Research on Facebook has expanded the toolbox LASER (Language Agnostic Sentence Representation) to work with 93 languages ​​in 28 different alphabets. This model gives good results when classifying multilingual documents and revolutionizes translations. In the future, we expect that the integrations of the language models in question will be largely used in advanced models. ELMO, BERT, and XLNET are further examples of important text display tools.

Computer Vision

One of the most popular areas of the deep learning space – Computer Vision – has also made great strides. Whether for images or video, new frames and libraries make image processing easier. BigGAN is now able to synthesize high-fidelity images and create almost unrecognizable images from real photos. We have seen all deepfake videos of world leaders or artworks that have been brought to life. In the future, we can assume that this technology will be used in a variety of areas such as holograms, teaching, and filmmaking.

Conclusion

I hope you have understood that who is a real AI company. NearLearn is the best Artificial Intelligence institute in Bangalore also provides training on data science, Machine Learning, Deep Learning, full-stack development, Reactjs and React Native and other technologies.

The post What Is Real Artificial Intelligence (AI) Company? appeared first on .

As social media has become the primary platform for the marketers for marketing so managing multiple social media accounts can be tricky work for the marketers. From regularly posting content on social media to reaching out to the customer to your brand and to respond them and taking care of your company’s social media account can be quickly become a full-time job for a digital marketer.

To handle this entire thing manually can be a difficult task for a marketer so this is where artificial intelligence (AI) comes in the role. Here AI plays an important role for the digital marketers to manage multiple social media accounts. And another lot of things can be done by artificial intelligence.

With Artificial intelligence technology, it’s become very easy to promote social engagement with your customers ever than before. Here I am going to share some ways by which your organization can leverage the artificial intelligence technology to promote your social media engagements more efficiently and effectively.

Read More:  What Is Artificial Intelligence Course Fee In Bangalore?

Collecting Customer Information

Some of you might have heard about the term “Big data”. Big data is a very growing industry nowadays. It has 2.7 zettabyte data and it is still increasing at the rapid speed. Big data is a large amount of data that is collected from various sources such as business processes, CRM, ERP and online. In fact, big data is a gold mine for marketers who want to improve their social engagement.

Big data can provide details about customers’ buying habits, buying potential, likes, and dislikes. You are probably asking a question about the benefits of social media marketing. Yes, it helps fabulously. With access to this information, social media marketers can create and share content that arouses customer interest.

Because big data is so big, marketers cannot simply extract certain information from it. AI makes it easy here. AI can quickly and accurately extract entire large data sources and extract the required customer information. Marketers can use this information to engage customers at the right time and more accurately.

Content Curation

Posting relevant and curious content can boost your social media engagement with your brand. All content can’t make you all happy so there is a need for curated content that can trigger a particular customer’s interest. We all know that content is king and content marketing is one of the best ways to boost your social media presence and branding of your product. Still, b2b marketers trust in content marketing and want to allocate 28% of the budget on their content marketing.

Infect, content can make your product viral in a few time. For example, a food company called ‘Tasty’ had very fewer followers on social media and also very less interaction with the user. But suddenly it started to see flooding interaction and user engagement increased after viral their one gif post on Facebook.

There is a number of artificial intelligence tools available that can identify the effective content that can match the customer’s interest in terms of social media presence and engagement.

Automation of Social Media Management

Now that social media platforms are becoming more popular – for example, Instagram has 700 million active users per month – it is becoming increasingly difficult to get people’s attention and promote social engagement over-saturated news feeds.

Many marketers overcome this problem by using significant resources to buy audiences, such as increasing Facebook posts, which can make social media management quite expensive.

For this reason, social media managers are starting to use AI automation tools like IFTTT and Hubspot to help with their accounts. With these tools, companies can automate the publication of certain content or even interact with other users. Some tools can even search for solid content and automatically forward it to your subscribers, which easily promotes social engagement without significant resource consumption.

At this point, the popularity of social media seems to remain, which makes it all the more important to promote social engagement in order to increase the number of potential customers. With the help of artificial intelligence technology, you are well on your way to growth by interfering in the social commitment of your company.

Recognition

Social media is flowing with the content especially with infographics. Artificial intelligence technology helps to analyze the customer’s behavior and reaction.  Image recognition software enables marketers to see what content should create content, create products, and offer engaging services.

Face recognition software helps marketers offer products that match the preferences of a single customer, but is also used (by some) to identify people’s moods and offer products accordingly.

User-generated content is full of pictures and faces, just like it is full of brands. Computer Vision is used to view unlabelled images and videos and to identify brands and products. Marketers can then extract user information, calculate media from video analysis, and create content moderation solutions. Image, face and brand name recognition software provides detailed information for identification and marketing to the public.

Conclusion

I hope you have understood the power of artificial intelligence technology in social media marketing and how marketers can leverage Artificial Intelligence to Growth Hack Social Media Engagement?. Social media automation gives the most attractive and efficient content for your potential customers. Nowadays most of the mobile app development companies or other IT companies are using social media automation to leverage the relevant customer potential reach.

NearLearn provides the best artificial intelligence training in Bangalore and also provides other trending courses like data science with python classroom training in Bangalore, machine learning, blockchain, deep learning, Reactjs and React Native, Golang and Full-stack development course, etc.

The post How to Use Artificial Intelligence to Growth Hack Social Media Engagement? appeared first on .

Introduction:

Machine Learning and Artificial Intelligence are two very hot doublespeak words and often seems to be used mutually. I thought it would be worth writing content to explain the difference. Sometimes, they can lead to some confusion but they are not quite the same thing.

In short, the best answer is:

Machine Learning is an AI-based application that be able to give machine access to data and they learn from themselves.

Artificial Intelligence is the wide concept of machines being able to carry out tasks in a way that we would consider “smart”.

What is Machine Learning?

Machine learning is an AI application that revolves around the ideas and these ideas give machine access to the data and so they learn themselves only. This is the best tool to analyze and identify the form of data. Machine Learning is defined as the acquisition of knowledge and skills. This goal is to increase accuracy, but it does not care for success. This is a simple concept in which the machine takes data and learn from the data. This is a self-learning algorithm, Machine Learning works as a knowledge provider from the data or information.

This aim is to focus on the development of computer programs.

Types of Machine Learning Algorithms-

As there are endless uses of Machine Learning, therefore, there is no limit of machine learning algorithms. They range from the simple to a wide complex. Here are some most commonly used models:

• A Machine Learning algorithm involves the identification of a correlation between the two variables and uses that correlation to predict about future points.
• Decision trees: These models need observations about certain activity and identify an optimal path for arriving at the desired outcome.
• K- means clustering: This model makes groups for large number of data points into specific number of groupings based on their characteristics.
• Neural Networks: These learning models use a large amount of training data to identify a correlation between many variables to learn the incoming data process for the future.

Most of the industries working with a large amount of data have the importance of machine learning technology. By extract observation from the data usually, in real-time organizations are able to work more accurately or achieve a profit over competitors.

• Financial Services
• Healthcare
• Government
• Transportation
• Retail

What is Artificial Intelligence?

Artificial means something which is made by humans and Intelligence refers to the ability to understand. AI is implemented in the system, for which definition can be “It is the study of how to train the computers so that computers can do things which at present humans can do better”. Therefore, it is intelligence where we want to add all the capabilities of the human in the machine.

Artificial Intelligence devices are classified into one of two fundamental groups- applied or general. Applied AI is far more common- systems designed to intelligently trade shares. Generalized AI- are less common but devices can handle any task.

Artificial Intelligence is an area of computer science that indicates the formulation of smart machines that work and act like humans. Some Activities computers with artificial intelligence are designed for:

• Learning
• Planning
• Problem Solving

It has become a fundamental part of the technology industry. Research correlates with artificial intelligence is deeply technical and specialized.

Machine Learning is also an essential part of AI. Learning without any sort of supervision desire an ability to determine the pattern in streams of inputs, whereas learning with capable guidance involves allotment and numerical relapse.

Conclusion:

Machine Learning uses the experience to look for the pattern is learned. AI uses the experience to acquire knowledge and also how to apply that knowledge for new environments.

Both AI & MI can have valuable business applications. But ML has gotten a lot more adoption for solving the critical business problems in many companies.

The post Machine Learning v/s Artificial Intelligence appeared first on .

The IT sector is the largest private section which provides different trending career opportunities for students, freshers and job seekers. The IT sector employs over 4 million people including 1 million women in it. With the growth of new software courses and software product development, employees and professionals are required in this field in large quantity.

There is a huge requirement for IT talents across the community for other fields like SQL, Java, etc. IT department has a deep appearance to play in the economy, with the concept of Digital India. Software is written in well known programming languages. They are smooth and more dynamic for programmers as they are very close to natural languages than machine languages. High-level languages are converted into machine language with a compiler or an interpreter or with the mixture of these two. Programming tools are as well software in the form of programs or applications that software developers use to create (hackers, coders etc.

Here are some courses that help you to find best job opportunities in IT sector:

1. Machine Learning with Python

It is a type of Artificial intelligence, which provides computers along the ability to attain without being specially programmed. Machine learning aims on the progress of Computer Programs that usually adjust when defined to new data. Python community has introduced many elements to help programmers implement machine learning.

Machine learning engage computer to get trained using a given data set, and use this training to forecast the properties of a new given data. Process of training and prediction involves use of specialized algorithms.

• Blockchain Technology Certification

If this technology is so complicated, why call it “blockchain?”

On its most basic level, Blockchain is just a group of blocks, but not in the historic sense of those words. When we say the words “block” and “chain” in this situation, we are actually talking about digital information stored in a public database.

In the Blockchain ‘blocks’ are made of digital pieces of information:

For Example, we take Amazon.com

• Blocks store data about transactions like the date, time, and amount of your most recent purchase from Amazon.
• Blocks make daily records about the transactions engaged. A block for your purchase from Amazon record your name along with Amazon.com, Inc. inplace of using your actual name, your purchase is recorded without identifying information through a unique “digital signature,” kind of username.
• Blocks store information that differentiate them with other blocks. Much like you and I have names to distinguish us from one another, each block kept a unique code called a “hash” that grant us to tell it apart from every other block.

• Data Science

The term Data Science is more and more common, but what does it actual mean? Skills you need to become Data Scientist?

Let’s see what is Data Science.  Data Science is a mixture of various tools, algorithms, and machine learning principles with the aim to discover hidden patterns from the unused data. Data science in common term is about using this data in creative way to build business value.

A “data product” is a technical thing that: (1) utilizes data as input, and (2) processes those data for generating results.

• Artificial Intelligence (AI)

Artificial Intelligence is an area of computer science which indicates the formulation of smart machines that work and act like humans. Some activities computers with artificial intelligence are designed for:

• Learning
• Planning
• Problem solving

It has become a fundamental part of the technology industry. Research correlate with artificial intelligence is deeply technical and specialized.

Machine learning is also an essential part of AI. Learning without any sort of supervision desire an ability to determine pattern in streams of inputs, whereas learning with capable guidance involves allotment and numerical relapse.

Conclusion:

Because of trending career-oriented software course choices for freshers, you’re bound to have a nice career in the coming years. The courses mentioned above have a huge scope of development and will surely see a high hike in pay scale too. The job seekers will have profit from these software courses. The Information Technology sector is expanding its wings and offering high expected jobs to eager individuals.

Get in touch for Demo or other Enquiries.

The post Trending Software Courses appeared first on .