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Month: September 2019

Ways To Use Artificial Intelligence In Education

Posted on by Imarticus Learning

Ways To Use Artificial Intelligence In Education

Do you know that AI is very present in all our lives and has pervaded almost every space? Not just the imaginary humans with chips portrayed by fiction writers and science fiction movie makers but just look around.

Google searches, automatic sensors for reversing your car, automatic lens adjustments and light settings for those perfectly timed selfies, Google maps to take you straight to your destination, MRIs to detect those illnesses you never thought you had, multiple-choice answer sheets scored automatically on online learning sites, paying bills online, that favorite app you just downloaded and everything I between. They all run on the artificial intelligence courses of the self-learning algorithms of machine learning help make machines truly aid to human thinking through deep learning and neural networks.

Though AI has actually taken over most of the human tasks, they are still a long way off from replacing human beings and the one area where they have tremendous application potential is in education. Let’s reiterate that the basic aim of artificial intelligence courses and neural thinking is not to replace humans but to help them with repetitive tasks and data sifting far beyond the limits of the best human brains. So, in the future, AI and humanoid robots will not replace teachers. But they will transform how we learn, and what to learn and go a step further by helping us learn. That includes the teachers too who are constantly learning too!

Why AI matters in education:

Let us explore how AI is going to bring its benefits to the education experience of the future. The class sizes keep increasing with compulsory education and teachers are often facing many challenges in giving attention and help to the large numbers of students. A big challenge like this has been simplified by incorporating computer programs that allow each student to follow his own pace and learning curve. Individualized learning modules can help find knowledge gaps and personalize the learning materials to fill in the gaps.

Teachers can now get truly involved in teaching and rectifying the lacunae in the learning process. Besides, the teachers can also get recommendations on how to rectify the issues, what learning materials to use for personalizing the process and much more to help herd the students towards the right levels of comprehension and skills required. This could also be used for learning processes of differently challenged students.

The newer methods of experiential learning at educational institutions use advanced techniques of AI, machine learning and deep learning in instructing and teaching like chatbots and learning bots. A differentiated AI style of learning deals with the most effective style to help the student learn. Adaptive artificial intelligence courses based learning curates the learning exercises matching them to the student’s needs and knowledge gaps. Competency-based AI tests aid the students to gauge their learning levels and progress from thereon. Using all these three types of learning AI can test how well the students can adapt their learning to applications of it and thus promote the progress of students based on individual interests.

The benefits:

Some of the benefits of artificial intelligence courses that can be harnessed are: 

1. Grading, scoring, and such repetitive tasks can easily be handled by AI.

2. Personalization of educational software can be need-based and adapted to individual learning curves.

3. Lacunae and learning gaps can be predicted and rectified with suggestions for learning materials and courses needed to improve.

4. Tutoring through subject-specific learning bots, online self-paced courses etc can support students.

5. The feedback route is almost instantaneous and can be gainfully harnessed by both educators and learners.

6. AI has changed the way we search for and interact with data. Just Google for information on anything and everything is what 95% of the people do to find information.

7. AI will make teachers more effective and ever-learning educators.

8. AI will develop human skills and make trial-testing-and-error learning the norm.

9. Data harnessing and empowerment will change the learning experience using AI to find, support and teach students.

10. AI can offer both offline and online resources which will alter where we learn, how and who teaches them and help apply to learn to basic implicational skills.

Conclusions: 

What do you think would be the results of AI in education and the learning process? Yes, the education field is going to be very different from what we now see it as. Skills in learning applications will count for more. Jobs will be linked to skills and not degrees. Certification will emerge as a measurable tool of skills. And, if you want to explore more, why not do artificial intelligence courses at the reputed Imarticus Learning institute?

10 Questions To Measure Your Career Success By

Posted on by Imarticus Learning

10 Questions To Measure Your Career Success

Everyone needs a reality check once in a while. Although there are obvious ways to detect if you are flourishing in your current job, there comes a time when it becomes difficult to understand what really is going on. You may love your job and are happy with the way it has shaped up over the years. But does that mean it is an ideal scenario for you? Are you capable of something more? How do you measure career development and success?
These are the queries that we will help you clear today. But how?
By going through 10 questions that you need to ask yourself to measure your career success by. Make sure you answer them honestly.
Questions to Ask Your Professional Self
Whether it is recognition at work or employee engagement that you yearn for, answers to these questions will help you ascertain your current stand in your professional life.
What different goal have I planned for next month/quarter? 
Every job requires a push where you periodically take up more tasks and responsibilities. If nothing of that sort is planned, then you should really start talking to your manager and volunteering for more work. Doing more work than what is intended of you is a sure-shot sign of recognition at work and career development.
What major thing did I achieve this month?
It can be anything that you did at work that impressed yourself as well as your boss. Did you achieve all the campaign goals for this month? Bravo!
Can’t remember anything? Time to strive harder next month.
How great is my personal brand going?
Every individual need to have a personal brand; something that differentiates themselves from others. It can be as simple as the style of email writing. Do you find you are not deviating from your personal brand and still doing great at work? You are sorted.
What new thing did I learn about myself last month?
This is especially important for new employees. Did you find you are a slow writer or that you are pedantic when it comes to reporting generation? Good or bad, you need to cultivate or correct it respectively before moving ahead into the next month.
Did I observe any lapses in how I performed?
Last month, the annual report did not go out in time. Can you find out why? If it was dependent on you, can you remember what led to it being sent out late?
Understanding your own lapses at work can be great for daily work management.
What meaning do I derive from work?
Most content writers in India love their job because they are creating something. They find their work value to be redeemed; like giving back to the world in some way. Do you feel something like that with your line of work? it’s a great way to design your career development plan with.
How did my personal life influence my work?
Did anything from your personal life cross the road and affect your work-life last month? Something that was not really positively? It is time to isolate the issue and find out solutions that it never happens again. Proper work-life balance and self-imposed restrictions can help.
How is my network doing?
Every month take a look at your professional contacts. How many new people did you meet? How much time did you contribute to nurturing your existing relationships?
Remember, having a big network always comes handy during job hunts.
What is my biggest hurdle?
Most professionals deal with one or the other issue at some point in their career. It can be either about daily work management or with team control or anything else that they are not finding a solution for. Identifying these issues and then rectifying them is what turns average professionals into extraordinary ones.
Did I step out of my comfort zone or not?
This is my favorite question because it really is a solid way to find out if you did something different in your work. Most professionals work in their comfort zone all their lives and do a fairly good job. Some get outside their comfort zones and move mountains.
So, what are you waiting for? Bookmark this article and visit it at the end of every month to measure your career development.

7 Factors To Consider While Switching Jobs

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7 Factors To Consider While Switching Jobs

Is quitting your job the first thing that comes to your mind as soon as you wake up? Is the month-on-month paycheck the only thing you look forward to? While certain statistics say about 85% of people actually dislike their jobs, your scenario might slightly differ if you like to work but dislike your job. Honestly, the decision of whether to make a job switch or not can often be quite overwhelming and taxing.

Here is a lowdown of the seven factors you should contemplate before you take the leap or decide to stay put.

1| Think why do you want to change your job

Before you make up your mind to quit, take a deep breath and think of all the reasons that interest you in the new job opportunity. Are you looking for a quick fix and heading for the first exit that props up in front of you? Weight your current career goals with the prospects you have in hand, and see where you stand. If you feel that the new job shoot your career trajectory upwards from where your end goal is visible, go for it.

2| Consider if your new job offers better career growth

Every person’s ideal job situation is to work for a company which stimulates their personal growth, lets them hone their own skills while they simultaneously contribute to the overall growth of the organization and business. Sharpen your strategies and compare your present organization with the potential job offer. Always think long-term; while the salary holds importance, it is also essential to judge personal development and potential for paving an advanced career path in the future.

3| Judge your work environment

A great designation, a swanky office or a buzzing cafeteria may not be the right way to judge the work environment of the company. After your interview is done, try taking a quick tour of the office premises; figure out if most employees around you look content and happy or appear exhausted and stressed. If the overall happiness quotient seems high and people are friendly, it might be a good environment to work in.

4| Look at the location and figure out the commute

As unimportant as it might seem initially, long commutes are known to be effective mood-spoilers! Imagine taking a crowded metro ride first thing in the morning and then changing two other modes of commute to get to your destination. Not to mention traveling in the scorching summer heat. Sounds exhaustive, doesn’t it? Think over factors like available commutes and rush-hour traffic before taking a call.

5| What is the pay like

The comparison between your current salary and the pay you are being offered at your new job is perhaps the most important thing to consider before you make up your mind. However, it is also good to have a set expectation based on your geographical location and current position in the company. Start off with initial research and find out how much other people in the same professional arena are generally paid.

6| Think if the total compensation package is beneficial for you

You may be offered a very attractive salary at your prospective employers’; however, pause and think about the overall benefits you are being offered. Better bonuses, flexible schedules, more vacation time, pick-up and drop options if available, an ample provident fund contribution or an attractive health insurance offer, go a long way in keeping an employee happy and satisfied. Weight your entire compensation package instead of merely focusing on your salary.

7| If the job role is challenging enough and will let you grow

A change of job role is an important milestone in your career development plan. What is important to understand is, if it will keep you on the tip of your toes and push you to take up more challenges that will only enhance your career. Does it offer you leadership opportunities and voice your challenges or concerns in front of the management? Will your projects be rewarding enough to work on? Make sure these questions are answered in your mind and out loud by the hiring manager before you come to a decision.

Changing jobs come with a whole new set of risks. However, if you have thoroughly researched your and analyzed your prospects, then go ahead, trust your gut and take that leap with switch fast career. 

For more details, you can directly visit: Imarticus Learning and can drop your query by submitting the form on the website or can contact us through the Live Chat Support system or can even visit one of our training centers based in – Mumbai, Thane, Pune, Chennai, Bangalore, Hyderabad, Delhi and Gurgaon.

 

What Are The Ways To Improve Customer Experience In Banking?

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What Are The Ways To Improve Customer Experience In Banking?

The digital disruption of banking has today revolutionized customer experience. Not only has it made the leap from conventional to convenient, but it’s also gone online and into your cellphones. New-age banking refers to this process– the digital transformation of traditional retail banking into one that gives more as demands are more.
One of the core focuses of digital transformations is to drastically improve customer service.

This is especially crucial in the light of fintech firms, online banks, and non-banking companies coming into the fray for payments and asset management. One of the highlights of traditional retail banks is the opportunity they have to meet, converse and maintain a relationship with clients in the flesh– something pure-play digital banking firms haven’t achieved yet.

That said, it takes a lot of time, effort and resources to begin a digital transformation, let alone complete it within a set span of time. New-age banking training is crucial for anyone looking to join the retail banking sector today, or even for those professionals wishing to retain their bank jobs and become future-proof.

How then, can conventional retail banks improve their customer experience through new-age banking training?

Enable digital on-boarding
New technologies allow banks to move verification of credentials online, using digital IDs, fingerprints and even voice recognition software. This is very helpful for clients, who till date have had to fish out credentials and IDs for every major banking transaction.

Through training, employees can learn how to manage this new technology without a hiccup, because a crucial part of bringing in new technology is ensuring there are people to effectively manage it. This improves customer experience and speeds up operations.

Automate or move basic processes online
The retail banking experience needs to be seamless to hold the fort against other online competitors. A good way to begin this is to automate or make mobile basic processes such as opening a new account and resolving issues. Relationship managers can be trained to operate front-line AI systems that carry out routine calls and checks on silent clients.

Improve personalization
Hyper-personalisation is a benefit of digital transformations, especially in this age when clients expect to be treated on an individual basis rather than as part of a general segment. Through a new-age banking course that focuses on customer service, employees can understand how to target customers based on their individual data.

This could be in the form of relatable discounts based on spending categories or sending location-specific push offers. A banking course that covers personalization in customer service can make trainees more efficient at their job role and keeps clients happy as well.

Establish self-service areas
While this idea hasn’t caught on as much in India, it’s a viable option for banks that see a lot of footfall around basic processes that don’t need too much human intervention. Interactive walls and digital terminals are just a couple of options to introduce new-age tech into banks.

Employees can then focus on assisting clients based on their response at digital terminals, or if there’s an extensive issue that the terminal can’t solve. This way, employees can focus more time and effort on actually providing help rather than going through the motions frustratingly.

Improve internal efficiency
When new technology is installed, there will always be a period of confusion. To minimize the damage caused by this period, employees must receive new-age banking training that not only helps them understand the technology that’s in use but also how to use it to leverage their performance. This could involve revamping structures, breaking down internal job silos, even bringing dedicated experience teams into the picture.

New-age banking is no longer a thing of the future, it’s a reality. To get with the times and future-proof themselves, employees must undergo training that exhaustively covers new technologies. Retails banks will only benefit from such an investment because tech-savvy employees mean satisfied customers.

For more details, in brief, you can also directly visit: Imarticus Learning or can contact us through the Live Chat Support system or can even visit one of our training centers based in – Mumbai, Thane, Pune, Chennai, Banglore, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

What Machine Learning Has To Do With Your Personal Finances?

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What Machine Learning Has To Do With Your Personal Finances?

Machine learning is a subset of AI technology that develops complex algorithms based on mathematical models and data training to make predictions whenever new data is supplied to it for comparison. Artificial intelligence is the ability of machines to simulate neural networks and human intelligence through machine learning courses without the use of any human intervention or explicit programming.

Though these two concepts that always go together have been around for ages, the past two decades have seen a phenomenal rise and exploitation of benefits of ML applications.

Let us explore some applications in real-life in the financial services area where they have made huge differences in customer service, fraud and risk management, and last but not least personal finance.

Examples in Customer Service:
Chatbots are the latest feature of financial services being deployed to aid and automate and reply when asked frequently asked questions, common customer service answers and requests, help in bill payments, provide information on services and products and more.

Since they work with NLP-natural language processing they understand the query and answer appropriately. But there are instances when the scenario does not fit the scripted questions and the conversation is beyond their comprehension.

ML is important to teach the chatbots in customer service to assimilate data from interactions where the AI can self-learn how to respond in the future based on the experience they gather. Obviously more the interactions, the better they get.

They are also capable of recognizing emotions like frustration, anger and so on where they can diffuse the tensions by transferring to a live customer service agent for further help or resolution. Often they up-sell products, introduce the newer services and help in transactions like making automated payments.

During the course of such interactions, they can also pick up customer behavior trends like the possibility of defaults due to cash-flows. Imagine how satisfied a customer would be when it is the due date for payment, the account is bereft of money and the chatbot work efficiently offers a different due date, a short-term loan or a customized payment plan.

That’s just a small example of the chatbot and its machine learning courses enriching the customer or user experience.

Examples in Personal Finance:
ML comes to the aid of financial institutions by specializing in the service of customers needing applications for budget management, offering guidance and highly targeted financial advice. Such apps are made for mobile devices and allow their clients to track their daily spending.

Using their innate ability to spot trends they can help with budgeting, saving and investment decisions and plans by watching and learning from the client’s spending and purchase patterns.

Ina real-life example a leading bank spotted the trend of people from a certain segment facing problems with their cash flow and using their credit cards for late-night transactions and withdrawals. By flagging such abnormal behaviour it was found that the segment faced unduly low-interest rates in their savings accounts. Based on such foresight the bank not only improved its savings rates but it also offered the segment increased credit limits to restrict defaults on payments.

ML intelligence worked very well since the bank retained its customers with such an offer and also saw an increase in its savings accounts deposits.

Examples in Fraud and Risk Management:
In the fields of risk and fraud management the daily number of transactions to be scanned, are very large and involve huge sums of money. In modern times online payments have emerged as an ideal spot for fraud perpetration. Paypal the market leaders, have employed machine learning courses specializing in risk management and fraud detection and using Big Data, complex neural networks, and deep learning capabilities. Any abnormal behavior is flagged and forms a sandboxed risk queue within milliseconds.

The cybersecurity challenges are confrontable by smart ML algorithms. The detection of phishing attacks is dependent on the algorithm being able to easily compare the original and fake sites for logos, visual images, and site components. T

hey can also detect unusual behavior once they are trained on recognizing normal patterns on a profile or account. A red flag is immediately raised and the user is asked to verify the transaction.ML is also used in risk scoring, assessing defaults in payments, automating credit scores and compliance issues, assessing loan applications and every transaction in between.

In conclusion:
Machine learning is not restricted to any one field. However, the applications can get very complex and extend far beyond these few examples. ML helps in better security, increasing operational efficiency and delivering better customer service or user experience.

If you would like to learn more, then do the machine learning courses at the Imarticus Learning Institute where technologies of tomorrow are taught and skilled for today.

What Are Some Good Resources About Learning Financial Analysis?

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What Are Some Good Resources About Learning Financial Analysis?

The spurt in the financial domain is instant, recognizing this trend people have started opting for a career in the finance industry. Building a career in such a competitive space where everyone wants a piece of the pie you have to have the added advantage to stand out the competition. The Financial Analysis subject is best suited for a budding finance enthusiast who is aspiring for a successful career in this field.
Financial Analysis is a complex subject matter that involves different fragments. You have to gather knowledge about a wide range of subjects. Financial reporting analysis, corporate finance, economics, equity, alternative investments, etc. are some of the prominent topics you’ll have to spend your time upon.
The subject matter of financial analysis involves a comprehensive understanding of the company’s fundamentals to do data analysis and project the future trajectory taking into account the different variables that might affect a company’s overall performance in the short as well as the long run.

Where to find good resources?

I am a firm believer of “learning can happen anywhere”, the catch here is that you got to have an open mind and a knack for learning the subject matter. Keeping attention to detail is a must in the case of learning finance.

Before deciding what resources you need to use for building your knowledge base in any domain, you have to figure out the ‘why’. Why do you want to learn financial analysis? The answers could vary from getting a job in a Financial firm to teaching others about the subject. When you have this answer then only you could establish the degree of knowledge that you need to obtain for your pursuit.
Learning is a continuous process and subject such as finance is always evolving with the economy and the world so there’s no end to learning here. What you knew a year ago might be outdated today so it needs constant catching up.
Today you’ll find countless resources to learn about any topic in finance. The world of social media has made learning easier and much more convenient than traditional means. The best resources can be found in the form of video channels on youtube, blogs, online courses, educational websites focusing on the finance niche, etc.

If you want to get a good job in the financial industry, getting validation for your knowledge is important, especially in the big corporate houses. You can opt for professional courses like CFA where you’ll get guidance on how to proceed in a structured manner for your financial analyst education. It is a course dedicated to financial Analysis, upon completion of the course and with relevant experience, you’ll get to use the charter title for a financial analyst.

Websites like coursera, udemy, edX provide students with comprehensive knowledge about the subject including test series and contextual subject matter which is updated to current standards.

If you break up financial analysis it contains two fragments one is involved with building your knowledge base in finance and the other is related to upgrading your analysis and presentation skills which include learning Ms excel and powerpoint.
You can even focus on learning the two fragments in isolation. You can opt for courses which teach excel and powerpoint and other courses which help you with building your financial & accounting knowledge.

There are various books on finance by popular authors which teaches financial education in a slightly unconventional manner. Some of the good reads are “Richest Man in Babylon”, “One up on wall street”. You can even find the ebook versions for the same on Amazon for a very minimal price if not free.

Conclusion
To learn financial analysis as a subject you need to figure out the details of the subject matter that includes topics from various subjects including economics accounting, financial maths, etc. It is important to define your goal for learning financial analysis that will give you a direction and will help determine the degree of knowledge you need for your particular endeavour. Online platforms like youtube have so many professionals teaching the subject matter, if you are looking for freebies it’s the best place. There are other educational websites like Coursera, and Udemy which provide a comprehensive courses and certifications for the same.

Also Read: How do I get job into Financial Analysis

Is A Machine Learning The Next Step Of Smart Learning?

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Is A Machine Learning The Next Step Of Smart Learning?

2015 was rife with stories of ML and self-driving cars. Again a decade ago people were abuzz with robots doing the repetitive tasks, and human intervention being all about seasoned judgment for complex tasks. And then, cars were self-driven and computers really proved that they were fast approaching the machine learning course of human intelligence with self-learning algorithms and AI taking over a data-driven world.

Both AI and ML started with helping the human coded programs helping computers spot data patterns and inform algorithms which made foresight, insights, decisions and data-driven predictions. And then, the volumes of data became huge and machines needed a machine learning course to be able to help humans with cleaning and sorting the data.

 

So self-learning and deep learning algorithms soon taught the AI-driven computers to get smart and self-learn. As data became larger, their ability to accurately parse and clean data and provide insights increased. And so, we developed new self-learning ML algorithms which are the latest weapons against terrorism, cybersecurity, climate change, and cancer applications.

The Master Algorithm authored by Pedro Domingos, claims machine learning is the new basis and infrastructure for all applicational algorithms. He described it as the Higher Education switchboard. When data privacy became an issue in the UK in 2014 the US K-12 dialogue led to concerns in over-testing and by the end of the year, more than a hundred vendors of EdTech voluntarily signed the pledge for data privacy.

The series on SmartParents led with the argument that personalized learning is data-based and that parents with access to such data should decide on the privacy of the data. The policymakers were forced to embrace both data privacy and personalization.

Today ML and Big Data techniques are part of our lives and play a big role in informal and formal education. Let us see how we can make learning smart with machine learning. Below we list the areas and resources available to parents and teachers alike for

1. Learning data analytics and applications in a machine learning course that can help track student knowledge while recommending further learning steps. Here are some resources for learning systems that are adaptive.

Ex: ALEKS, DreamBox, Knewton and Reasoning Mind. Here’s a treasure for game-based learning:  Mangahigh and ST Math.

2. Beginning learning on content analytics that is used to optimize and organize content-modules.

Ex: IBM Watson Content Analytics and Gooru.

3. Scheduling for math learning that teams students needing help with teacher resources in real-time and dynamically.

Ex: NewClassrooms which uses ML and data analytics to schedule mathematics learning sessions.

4. Scoring and grading systems to score and asses on a large scale the student answers to the computer and other assignments and assessments: The grading could be peer grading or automatic ML grading.

Ex:  Lightside by Turnitin and WriteToLearn by Pearson help detect plagiarism and score essays.

5. To identify new opportunities through tools for process intelligence which analyze both big unstructured and structured data while enabling the visualization of work-flow.

Ex: Clarity from BrightBytes provides a strength gap analysis by reviewing best practices and research to build evidence-based frameworks.

IBM SPSS  and Jenzabar are systems for ERP-Enterprise Resource Planning which help the formal higher education schools and institutions in enhancing campus security, improving financial aid, predicting enrollment, and boosting student retention.

6. In helping match schools and teachers like TeacherMatch and MyEdMatch which harmonize online the recruitments of teachers.

7. For learning data mining and predictive analytics from experts try Map patterns of expert teachers and Improve learning, retention, and application articles.

8. For a host of applications in the back office are school bus scheduling EDULOG, Evolution, and DietMaster.

Parting Notes:

There is no doubt that the earlier you learn the more skilled you become. To ensure smart learning in ML every student and faculty member must learn at the earliest the impact of ML, AI, and Big Data. No matter what the pathway your learning curve should be enhanced with skills at the earliest.

Do you want to join a machine learning course at the Imarticus Learning Academy where data scientists hone their skills in AI, Big data and ML? Their courses also include personality development modules and train you in the soft skills required to emerge job-ready and with the right skill sets.

How A Blockchain Can Be Used In P2P Network?

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How A Blockchain Can Be Used In P2P Network?

Making the blockchain technology decentralized is dependent on the peer to peer networks that are also known as crypto circles and their laying out and propagation as the base foundational layer. They are smaller networks popularly also called P2P networks that last forever and are the “censorship-resistant” factor of the blockchain itself.

P2P networks are no new concept with Napster the first popular network with over 80 million global users having to be shut down in 2001 because it allowed illegal music downloads. And from the remnants emerged BitTorrent the file-sharing system that is an active P2P network very popular today.

The Bitcoin network used both the secure transactions feature of the blockchains and the decentralized feature of the peer to peer networks. The network thus provided a zero-fee alternative financial system wherein the digital value was traded in as cryptocurrencies or virtual money. Bitcoin’s infrastructure layer and its subsequent success regenerated the importance of P2P networks as a viable method for the functional and technical protocols. This was quickly lapped up by many Fintech startups and enterprises that emerged using the success of the P2P networks.

Peer-to-peer blockchain networks are akin to social living organisms. They form an important of the infrastructure and consensual technology that they are dependent on. Transacting humans have to reach an agreement and publish the issue across the node-containing network for validation by providing the right solution to the poser. A large number of nodes ensures that the cooperation-based transactions of all participants generate the blockchain training resources that contribute to the evolution of the P2P network and is the key factor for authentication and validation of the transaction and users transacting.

The important benefits of the P2P network are:  

  • The permissionless number of nodes continues to be self-feeding and continuously growing.
  • The nodes are self-rewarding.
  • The self-governing progression promotes survivability and resiliency.
  • A degree of anonymity ensures the origin of work is hard to pinpoint.

The legal implications of the search function:

There will shortly come a time when the data on alternative P2P networks like the traditional searches on Google or Googling will be large enough and revealing or trading in decentralized content will be a fact. Unless Google updates their security, such content will find its way into the hands of crawlers who will make the discovery of decentralized content easy to achieve.

We also need to be aware of the consequences of the ethical, moral, and lawfulness aspects of decentralization of blockchain training in P2P networks. What would happen if the unstoppable P2P networks get used for the wrong and illegal? Has anyone found a viable solution for clearing the stable of offensive and illegal content and punishing the creators or originators of such wrongful use of the P2P networks? At some point in the recent past, this was the issue with the Internet being used for immoral and illegal uses.

Yes, there will always be the few rotten apples who will use any means to achieve their goals be it the internet, blockchains or satellite P2P networks. But let us not forget the example of Napster which was forced to shut down for infringing on the rights of musicians by allowing illegal downloads. Or the Craigslist was forced to take down their Personal section after the US Congress Bill held them responsible for facilitating and promoting the prostitution of other persons and sought to levy 10 years imprisonment, fines, and such enal action if it was not closed out. Someone clearly let Google get away with the exact same behaviour!

The future of the unstoppable and viable P2P networks can’t be compromised as they are the building blocks for the next-gen functional blockchain training capabilities, decentralized protocols, and P2P applications. The time is not far away when multiple P2P networks will use blockchains for validation, decentralized identity-linked networks for security, and another P2P network for storage.

Conclusions:

Important questions persist regarding whether the P2P unstoppable networks will be used as a tool for good reasons and benefits or as a weapon in the hands of the bad for illegal, corrupt promotion of causes. It is hoped that most of the applications will emerge on the just and right side as the new and powerful tools of the future. If you want to learn more about the way P2P networks and blockchains function you could do a blockchain training course at the reputed Imarticus Learning Academy. Why not start now?

How To Encourage Your Children To Learn About Big Data And Modern Technologies?

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How To Encourage Your Children To Learn About Big Data And Modern Technologies?

Phrases like Deep Learning, Neural networks, Machine Learning or Artificial Intelligence can be a big put-off for those parents who get easily overwhelmed by the changes in digital technology which seems to change minute-by-minute. The exponential growth of data is powering it and big data analytics courses are fast becoming essential.

This is what your children inherit and grow up in. It is crucial to have them trained early on if they need to be technologically equipped to handle their daily lives and become contributors to the growth of both the economy and society at large. There is no dearth of the ignorant in places of power who have no clue regarding the present technology let alone the future technologies that are already happening!

Every country has its share of shame and court cases on the misuse of technology which stems for a complete lack of understanding of the underlying science and principles of technology. You can change that and we shall look at certain pointers that can help you along to make the future of your kids in big data analytics courses an educated and well-equipped one.

Understanding the basics:

Kids understand concepts very easily if the examples are right. Just as they learn to walk, talk in any language, and interact with others based on their experiences of watching and doing, so also complicated concepts are simpler to explain than you may think. After all, technology has existed over generations and it is those who learned to question early that became the next generation’s Einstien or Newton.

Your involvement is vital:

One of the easiest ways to update your knowledge would be to get involved in your child’s learning. Parents are the role model on which the child bases his/her behavior. Taking an interest in the learning data analysis and how modern technology will not only help you explain the simple concepts of Deep Learning, Neural networks, Machine Learning or Artificial Intelligence but will also help you understand better and make better choices as technologies advance. Ex: Buying a smartphone today involves understanding what they can do for you with Google Assistant or Amazon’s Alexa. Go ahead and discover your gadgets.

Rewards are motivators:

The simple science of getting kids to thrive in their learning is to create a task list and reward the completion of tasks with simple child-friendly rewards like a party, movie, or treat of their choice. Starting such a system helps them inculcate discipline, cleanliness, and innovation in thinking through their tasks. Rather than play for hours on end, kids find it more interesting to learn to handle gadgets like the computer, smartphones or home theatre. They not only feel grown-up but also start skilling themselves early.

Use authentic training resources:

Teaching children to Google their questions opens up Pandora’s box when un-monitored. However, the internet has some very interesting videos on YouTube, simple beginner’s courses depending on the age of your child, websites for learning kids, games that explain concepts behind what appears complicated technology and child-friendly apps that are invaluable for both you and your kids. Why not consider a few big data analytics courses online?

Learn from mistakes:

Part of the learning lies in its being used and that’s where mistakes are bound to happen. Just like kids fall and learn to walk better, complicated subjects will come with mistakes and errors that should be treated as part of the process. The parent’s role in encouraging and handling rejection due to mistakes is just the same as in subjects like mathematics, science or any other. Just as long as the child enjoys the process and no stress is created they will learn if you are sensible about their failures.

Get Assistance:

Rather than venture into the unknown territory alone, there are ample resources that you can exploit to teach your children such as teachers, tutors, and short-term beginner courses at colleges that can help. Scour your neighbourhood for students who have done big data analytics courses and would be willing to orient your kid for a very reasonable hourly fee while keeping them well-attended to and busy learning something new.

Parting notes:

So, how can proactive parents encourage children to acquire knowledge and skills in big data and modern technologies? Well, the answer is simple. It is all about the training of the mind to form a basic skill set that is curious and learns by itself. At Imarticus Learning you can learn and also enrol your children in professional courses like big data analytics courses that help build appropriate skills in the field of emerging technology. You will be getting them a quick start in their careers that could prove invaluable in time.

How Can Credit Risk Analyst Become Financial Analyst

Posted on by Imarticus Learning

How Can Credit Risk Analyst Become Financial Analyst

A credit analyst measures the creditworthiness of a company or an institution and facilitates credit risk management. Usually employed by banks, smaller investment companies and credit card companies, their general job role involves assessing whether a loan applicant is creditworthy or not. By first gathering relevant to the same and posting a detailed analysis of the same, they either approve or disapprove the credit application of the applicant. Credit analysts employed with larger financial institutions also have the added responsibility of monitoring if a client is at a possibility of defaulting if an applicant’s account needs to be closed or if a client needs an extension on his line of credit.

What is the Job of a Financial Analyst Different from that of a Credit Analyst

Often sounding similar, the job of a financial analyst involves working on a much larger scale. He assesses the creditworthiness of a business or a company. A counterparty or an investor risk is always involved in this case, along with a lot of involvement in foreign bank sectors, interbank funding, lending and borrowing of securities, or foreign exchange. It is also a financial analyst’s responsibility to measure and forest the risk of both the counterpart and its settlement, before getting into the process of lending. Also, it is a must for financial analysts to conduct thorough research of any market or sector that involves a potential business, often on the basis of which they are required to build financial models to forecast potential situations that may arise in the future.

Qualifications Needed for a Credit Analyst to Become a Financial analyst

Most credit analysts need to have a bachelor’s degree in accounting, finance or mathematics, however, on-the-job training is often provided to individuals with a degree in any of these fields. Some employers require credit analysts to have completed a CFA (Chartered Financial Analyst) course, depending on what level they have been hired at. Often, to be hired at higher designations, credit analysts need to have some relevant work experience as well.
To become a financial analyst, an undergraduate degree in accounting, mathematics, business, finance or economics comes of use. In certain situations, a degree in engineering or computer science or an MBA increases the prospects of being hired as a financial analyst. You are an experienced credit analyst, and completing a CFA course may turn out to be useful for you before you turn your career path from a credit analyst to that of a financial analyst.
In relevance to required skills, both professions are fairly similar since decision-making skills are important in the financial avenue, the only difference being, that credit analysts are more centric towards individuals and smaller companies whereas financial analysts are more focused on financial institutions, larger business organisations and market trends. Both the fields need a strong background in analytics and affinity towards strong, well-built research.

After completing the relevant degree, here are a couple of steps in which a credit analyst may pursue the career of a financial analyst:

  • Bag an internship- As mandatory as this might not be, a financial analyst internship may give you that initial boost in your career. While you can gain hands-on training here, you can also get a clearer picture of the career switch that you have decided to make along with the kind of work expected to come your way. Also during an internship, you can build networks with other experienced financial analysts or find yourself a mentor to guide you on your career journey. Networks built during internships often last all through your career. Also, an internship increases your chances of being hired as an entry-level financial analyst as well.
  • Secure a job- Post completion of an internship, you can pursue entry or mid-level financial analyst designations; not only do stints like these help you gather relevant industry experience but also brush up your weaker skills. Tasks like analysis of income statements, maintaining financial statements or working on financial models along with forecasting models only help you work your way up the career ladder.

Once you have achieved all relevant milestones in the path of becoming a financial analyst, including meeting educational requirements, relevant industry experience, certification of a CFA course and an entry or mid-level job to start out, your quest to pursue a career in the same will be rewarded for sure.

Also Read: What is Credit Risk Analysis & Why it is Important