Benefits of Artificial Intelligence in Education Healthcare Finance

Artificial intelligence (Machine learning) is transforming Education & fundamentally Changing Teaching, Learning & Research.  Benefits of Artificial Intelligence in Education & Health

Artificial Intelligence in the field of Education:

Nobody can deny the fact that technology is  here to stay and will get upgraded with the passage of time. Human beings are aware of this fact & accordingly we are going for these technological adjustments & advancements, in order to extract the best.

We are applying latest available technology in various fields & education sector is no exception.


It is an application of Artificial Intelligence that extends system with the cushion of learning automatically & improve from it's own experience without being programmed for the same.

How can Machine learning be used in education?

Machine learning is a great tool to transform education & impact teaching, learning and research in a positive way. It is being used to identify the students in advance, who are struggling with their studies, thereby suggesting remedial measures.

Significant Machine Learning application in the field of education:

A. Adaptive Learning.

As the name suggests, it takes into consideration the performance of students in real-time & also refashion the teaching methods and curriculum based on that data.

The software plays an important role in guiding and suggesting learning paths which should be followed by the students.

B. Adding Efficiency.

Machine Learning for sure knows how to improve content and is equally beneficial in structuring the curriculum and management. It analyzes, what works well for the student and what type of work will suit the teachers the most. The idea is to make things easier for both teachers & students.

It prescribes methodologies to make teachers more effective by completing task related to classroom management, enabling the teachers to focus on those task which needs a human touch more than Artificial Intelligence.

C. Learning Analytics.

It has been observed that at times it is not possible for teachers to maintain the flow of teaching in relation to certain topics, which can puzzle the students.

In such a scenario learning analytics, helps to provide a better idea about the relevant topics by allowing the teachers to perform deep dives into data, interpret the same and reach a meaningful conclusion. Therefore, it brings about more clarity both for teachers and students.

D. Evaluating Assignments.

In grading students assignments, Artificial Intelligence is used to produce better outcomes in evaluations of answer sheets in a judicious and precise manner, as it has been proved beyond doubt that machine lowers the margin of error bringing about more transparency and accuracy into the system.

E. Predictive analysis.

Under this form of analysis, the emphasis is on studying and identifying the need and mindset of the students. It is all about being able to predict things likely to take place in near future.

Going by the pattern of test and exams, one can figure out which students will excel and who are the ones who will find it difficult to perform. It guides the teachers to take preventive measures well in advance, so that students can come to terms with the reality and get better by eliminating their weaknesses.

Machine learning in Health care

Healthcare is a new entrant when it comes to Machine Learning. For instance, Stanford is utilizing Machine learning  to detect skin cancer.

How Machine learning is used in Health care?

Three types of models in Machine Learning are used in Healthcare:

1. Classification: This model is used to categorize the dataset. The basic idea behind this model is to identify a category.

2. Clustering: This model gains attention when plenty of data are present but didn't have a settled outcome and the intention is to ascertain diagnostic patterns in the data.

3. Regression: This model is regarded productive when it comes to finding values. By utilizing the data the algorithm can establish relations between any two variables and the result is predicted on this basis.

Benefit of Machine Learning in Healthcare:

1. Diagnosis: Machine Learning contributes immensely in diagnosis, as manually it cannot be done maintaining a high rate of precision in various cases.

2. Drugs Manufacturing: Machine Learning plays an important role for this purpose. For R&D purposes Machine Learning is highly beneficial.

3. Medical imaging: Machine Learning extends enough support to find microscopic deformities in scanned images of patients, thereby enabling the doctor to identify the disease accurately and prescribe the right medicines.

4. Maintaining Health records: Maintaining up to date health record of every patient is a daunting task and it also consumes a lot of time however, Machine Learning comes handy in maintaining up to date health records. MATLAB's handwriting recognition technology is a classic example of Machine Learning based technology which is meant for document classification.

How is Machine learning used in Finance?

1. Security: 

Machine Learning technique offers excellent methods to detect fraud in financial transactions. It can guide to a great degree in detecting suspicious account behavior. Machine learning techniques takes very little time to judge a transaction. Speed factor holds the key in preventing frauds in real time. Banks & other Financial Institutions can utilize Machine Learning techniques to verify large volume of transactions.

2. Investment Prediction:

Machine Learning techniques are considered highly clinical in providing market insights. By using  Machine Learning techniques, it is easier to spot the market changes at an early stage which is not the case, if we rely upon traditional investment models.

3. Risk Management: 

In Risk management, the key is to figure out the market trends and this is where one can see the importance of the latest Machine Learning technologies, the most. Traditional software's uses certain static information which may not suffice to provide the right information all the time, as the market tend to fluctuate based on certain internal and external factors.

4. Prevention of Money Laundering:

Machine Learning plays a pivotal role in detecting money laundering cases. It has unique methodologies by which it can detect patterns that can be attributed to money laundering. The introduction of Machine learning technologies in identifying money laundering cases have increased the rate of detection.

5. Customer Service:

In order to maximize profitability ratio, it has been observed that at times, certain  Financial Organization tends to mislead their esteemed customers. This needs the intervention of Virtual assistant, as it reveals the original picture & status to the prospective investors & let them gain access to the actual information.

6. Network Security:

Machine learning technologies assists immensely in securing financial data. Machine learning security technologies are designed & developed in such a manner, so that they can use the power of Intelligent pattern analysis. Machine learning security technologies are effective enough in handling big data however, such features are not associated with non Artificial Intelligence tools.

Machine learning in Marketing

Machine learning software's helps in analyzing the right trends of the market. Predictive analytics is used to make Judicious decision based upon past market behaviour. By putting the Machine learning technologies to use , it gets easier to analyze the response received from various quarters regarding the past marketing campaigns. Machine learning techniques plays a pivotal role in understanding trend & patterns in relation to marketing.

Marketing mix in Machine Learning

 It is a technique to ascertain market attribution. It can be termed as a statistical method of figuring out the impacts of various marketing channels, based upon marketing & sales data.

Examples of Machine learning in Marketing

•  For the purpose of ranking websites, Google relies on Machine learning.
•  Netflix uses Machine learning tools for arranging contents by using predictive analysis tool.
•  Amazon fall back upon Machine learning technologies for it's online stores.

Conclusion:

Machine Learning software provides a huge boost in coming up with the right marketing strategy. Machine Learning software is equally beneficial in education , health care & finance. There  cannot be two ways about it.Machine Learning software helps us to get more clinical, systematic & sophisticated producing better efficiency level & greater precision.