Management - Finance, Tech & Analytics Career Resources

What’s it Like to Work in Data Analytics as a Graduate?

Posted on October 20, 2020October 21, 2020 by Imarticus Learning

Data Analytics has emerged as a new giant in the business space. With increasing automation, data analytics has found its space and is evolving and transforming how businesses operate. This evolution has created a new market and also anew area where people can find jobs. Becoming a data analytics professional is a challenging task. You need a major upskill to become a decent data analytics professional. A data analytics course will give you the same major insights that are required if you aspire to make a career in the field of data analytics.

Work of a Graduate Who Gets into Data Analytics

Graduates who join the field of data analytics are known to be highly skilled. They have an analytical bent of mind. Also, they are equipped with high order thinking skills. Graduates today have access to a plethora of activities in the field of data analytics. Also, you don’t need to be born with the required skillset. You can build the skillset in stipulated time by taking a Data Analytics course. Some of the work done by graduates in the field of data analytics are:

They are responsible for maintaining huge data sets. They also design different data systems and develop databases from different data management systems. They also manage datasets and databases with the help of building algorithms and also by some basic coding which comes in handy for effective management of data. A graduate must have a basic understanding of programming languages like R, Python, etc. You can also take up a data analytics course for this purpose.
Dat mining is also a very important part of their jobs. They look for verified data sources and then extract data from those sources. Also, the data extracted is quite raw and it has to be filtered and organised. This activity is also performed by graduate analysts. This data sorting provides the basis of any activity that will be carried on further with the help of this data. Also, a standard format has to be followed as the data has to be made readable.
Graduate analysts also make use of different statistical tools for data interpretation and analysis. Also, they are held responsible for trend analysis and making other interpretations which will be useful for business. These interpretations are converted into business decisions. A graduate analyst needs to be aware of tools like regression, data interpretation, dispersion, etc.
They are also responsible for making reports based on the data extracted. These reports have different purposes. Company leaders access these reports to understand how the company is functioning. These reports can effectively communicate different kinds of patterns and trends which are of great importance to the company.
Graduate analysts also work together with programmers to develop different processes that can contribute to the entire data management system more effective and efficient. They help in improving the systems around which the entire system works. These analysts use programmes developed by the programmers for their daily processes and work. They know how a particular programme can be made better

These graduate analysts also interact with a lot of different stakeholders. Therefore, they need to work with precision. Also, the groundwork has to be made concrete so that these data sets and documents can be used effectively for improving the business processes. Graduates are increasingly taking up jobs in the field of data analytics and are growing at a high pace. This makes it a very desirable field of work for graduates.

What Are the Benefits of Doing Data Science Course?

Posted on October 20, 2020December 5, 2023 by Imarticus Learning

What Are the Benefits of Doing a Data Science Course?

A data scientist is a professional having relevant expertise in the field of technology to use data for the betterment of the business. With plenty of information and data from various fields, the scope for a data scientist has no limits. But first, one needs to enroll in a Data Science Course to gain and polish knowledge in the field.
Data Science training is a path-breaking career opportunity with a multitude of scope. It provides a progressive career as well as a glorious salary. Most importantly, it will never be a monotonous job but a very exciting and engaging one.

What are the benefits of data training?

High demand
A data scientist is an in-demand job opportunity and whoever has successfully completed the course has a better chance of landing a job.
Since data is the ruling factor for all businesses, all need someone who can handle them properly. Data Science course can just ensure this eligibility criterion.
Moreover, a data scientist is a key role player who can determine and define the company’s success.
Plenty of opportunities
Every business is looking at the big fat data source for their success. The data involves anything from the most productive date to the single product that the public is more interested in. Determining what is appealing to the public is essential for decision making. This demand makes way for more opportunities for data scientists. Anyone who is well versed in Data Science and knows its nuances can easily spot the key areas and make the necessary changes in the plan.
Better remuneration
Owing to the high demand and opportunity for doing something larger, a data scientist is likely to get some handsome remuneration. With proper training comes certain qualities such as analytical powers, polish the leadership qualities, thinking smart rather than harder. All of these are necessary attributes for a data scientist to emerge from the vast sea of data sources and tools.
Once you have established your skills and proven your worth, it would only be a matter of time that converts into better payment.
Versatile field
The very demand for a data scientist is high because Data Science is applicable in almost every field of life. From ordering the morning milk through smartphones to managing employees’ data by HR, every field is flowing with data and information.
All these fields require someone to deal with them in the most appropriate manner that brings more business and opportunities. This versatility in the field is available for a very few profiles and a data scientist is sitting right at the top.
Having some proper training in this arena opens up new opportunities and adaptability to the jobs.
A smart move for personal growth
Data analysis is a wonderful opportunity for anyone who is interested in data. The Data Science Course ensures that they follow the right path. While the training helps sharpen their skills it is a smart move towards personal growth as well.
As mentioned, it helps improve various qualities within that would surely reward in the near future. In addition, it is also an excellent opportunity to brush up on communication skills as well.

Conclusion
Data-driven analysis requires elaborate and specific technological knowledge. At the same time, one cannot master analytics in a single go. It needs regular updates and such data analysis courses are definitely worth the time and effort.
In short, even if the data scientist training has its benefits, one must not stop at a single course and should be willing to look for new and updated knowledge, from time to time.

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What are the Different Types of Business Management?

Posted on October 20, 2020 by Imarticus Learning

Business management is a discipline that is devoted to analyzing, organizing, and strategizing various business operations. It includes plenty of things like money, machines, production, innovation, and marketing, etc. In a corporate environment, business management includes directing or leading the people and controlling or managing the organization.

There are a lot of branches of business management that serve different purposes. They are divided based on their core characteristics. However, some of their functions can overlap.

Types of business management

There are eight types of business management in total. These are:

Financial management
Human resource management
Production management
Marketing management
Strategic management
Service management
IT management
Operations management
Let us discuss them in detail.

Financial Management: Financial management is one of the most important types of business management. It deals with finding the balance between profit and loss to understand the growth of the business. It involves coordination between accounting, banking, investing, etc. A business management course in financial management leads to jobs like finance officer, financial analyst, financial advisor, etc.
Human Resource Management: Human resource management focuses on recruitment, management, and direction of people working in an organization. The main duties of human resource management are compensation, benefits, safety, and wellness implementation in the organization. Earlier human resource management was focused only on personnel administration. However, these days it also includes strategic utilization of employees and implementation of employee benefit programs to add value.
Production Management: Production management involves decision-making about the manufacturing of products and services. Methods, Machines, Materials, and Money are the four M’s that production management revolves around. A business management course in production management ensures good scope in this field. To ensure that production is at the optimal level, production management focuses on inventory control and employee training. Research and development processes for the growth of the organization also come under production management.
Marketing Management: Marketing management deals with the managing of marketing resources and activities of the organization. Strategy, brand management, pricing, etc. are all part of this branch of business management. Effective marketing management ensures maximum ROI for the business. The major areas of marketing management are competitor analysis, company analysis, collaborator analysis, and customer analysis. The scope of marketing management depends on the size of the business.
Strategic Management: Strategic management involves the execution of strategic thinking in major activities of the organization. Many other branches of business management such as finance, operations, and marketing use strategic management for their optimal performance. It helps to see the ‘bigger picture’ of the organization.
Service Management: Service management roles differ from organization to organization. Generally, it involves automated systems and skilled laborers for the effective execution of a task. It helps the business understand its products and services from the consumers’ perspective. A business management course in this branch leads to job roles like mechanical maintenance manager, service manager, Project leader – service management, etc.
IT Management: IT management is the management of the technological resources of an organization. IT management modify the technology of business to align it with the strategies and goals of the business. Service, IT configuration, and financial management are the key elements of IT management. They implement and administer the information and communication technologies of the business.
Operations Management: Operations management’s role is to ensure that all the operations in every department of the organization are running smoothly. It involves dealing with different processes, strategies, and departments. It makes sure that the development and utilization of resources are happening properly within the organization. The functions of operation management can vary depending on the business and industry.

How Freshers Can Get Real-World Job Experience In Data Science

Posted on October 12, 2020March 26, 2024 by Imarticus Learning

Introduction

For most freshers, landing a Data Science job seems like a chicken-or-egg situation. You need to have hands-on work experience to get selected for such a job, but how do you get any work experience without first being hired?

By now, you must have heard, read or seen a lot about the scope for immense growth that a Data Science career can offer. However, for many aspiring Data Scientists, the reality appears to be hard-hitting.

The career potential of a Data Scientist is undoubtedly very rewarding once an individual gets the job, but getting the job without prior work experience is the main obstacle they face. Below, we examine some practical solutions to this dilemma:

Work on personal Data Science projects

This is an interesting and highly practical way to gain real-life Data Science experience. Once you finish a project, you can showcase your work on a platform like GitHub. Focus on small projects, and try to demonstrate important Data Science skills in your efforts.

The advantages of working on your own project are that you gain hands-on experience in generating ideas, collecting data, cleaning data, analysing data and building predictive models.

Therefore, you gain a comprehensive understanding of the entire process. As far as possible, try to script clean codes and develop clear visualizations that potential stakeholders can find easier to follow.

Do not attempt to display too many skills at once, as you might end up unnecessarily complicating matters for your audience. Simple and small projects will illuminate the core skills you wish to draw attention to. For example, consider obtaining a complicated datasheet and cleaning it up. This simple project will demonstrate your prowess in:

Scoping a data project and formulating a suitable plan
Gathering data using different collection methods
Contemplating different data cleaning methods and choosing the most suitable one
Handling different data formats such as XML, CSV and JSON

Contribute to open-source projects

The best way to enhance your coding skills and get hands-on Data Science experience is to join an open-source community. Providing solutions to projects that are already in progress will help you deal with real-world problems, while giving you a taste of what working in a Data Science team would be like.

As a member of an open-source community, you need to constantly communicate with the other stakeholders when making your contributions. Open-source projects are an excellent way to access Data Science libraries, such as NumPy, Pandas, Scikit-learn, and more. Above all else, being a part of these communities will help you build a professional network with relevant people in the Data industry, and also significantly add to your existing knowledge.

Make tutorial / educational content

If you have confidence in your Data Science skills and knowledge, you can try authoring a Data Science blog feed, or creating tutorial videos that explain the core concepts of Data Science. These are excellent ways to highlight your abilities to prospective employers.

In-person meetups

After you complete a Data Science course, in-person meetups can present great opportunities for face-to-face interactions with industry leaders and representatives. Meetups are essentially corporate events being held in your city, such as business conferences, presentations, seminars, expos or coding competitions.

These events are excellent venues for networking with like-minded professionals who work for a range of different organizations. A simple Google search with keywords like Data Science meetups, along with the name of your city, will generate information about ongoing or upcoming events near you.

Volunteer for a good cause

Many non-profit organizations need Data Science professionals to volunteer for them. This is a good way to give back to society, while at the same time, you could get to work alongside experienced Data Scientists who can guide you and offer valuable career advice.

The tasks you perform can be showcased in your resume, and will be considered as valid work experience. Poverty, Environmental Protection, Equal Education, Public Health and Human Rights are some of the non-profit areas that you can contribute to.

Conclusion

The career scope for a Data Scientist is tremendous, but it often proves difficult to get a Data Science job without a certain amount of relevant work experience. The key is to show recruiters that you possess the requisite expertise and skills to do justice to the job if you are given the opportunity, and the steps listed above will go a long way towards accomplishing that.

How Do I Start Learning Deep Learning?

Posted on October 7, 2020September 20, 2021 by Imarticus Learning

Inspired by the human brain, the artificial neural networks in deep learning helps to solve complex problems using a diverse range of unstructured data set. Deep learning is a subset of machine learning that uses complex algorithms to learn with time by leveraging massive data sets. Deep Learning is used frequently by a lot of industries to automate processes and is among the most in-demand new-age technologies in the contemporary. Some of the most reputed organizations like Google, IBM, Apple, Microsoft, Intel, etc. use deep learning to make their services better. Let us see how to get started with deep learning.

Familiarise Yourself with the Prerequisites

One should make sure he/she knows the prerequisites needed for understanding the deep learning technology. This will help in understanding the neural networks better. You should know about mathematical topics like statistics, calculus, probability, numerical optimisation, etc. to operate on neural networks.

You should also be familiar with the low-level & high-level programming that has libraries for machine learning. Programming is a must-have skill for developing algorithms in deep learning. Languages like Python, Java, C, C++, etc. are used a lot in developing machine learning models.

Learn from Online Sources

You can learn from Deep Learning Courses offered via prominent providers. One can also read articles, blogs, available on deep learning by experts on the internet. One can also understand the deep learning concepts via YouTube videos. The online courses will be of great help as you can get to know about deep learning fundamentals without even going to an institution.
You can pace-up your studies for learning the fundamentals of machine learning & artificial intelligence and then you can take your time as you go deeper into the subject matter of deep neural networks. One can also read various journals on deep learning to understand the new methods & tools in this field and keep themselves updated with the latest in this domain.

Understanding Deep Learning Fundamentals

Once you have acquired the prerequisites for deep learning, dive into the fundamentals of deep learning like Recurrent Neural Networks (RNNs) which can lp to remember all the previous inputs and is used for time series prediction & other chores.

You will also have to know about Natural Language Processing (NLP) where the human language is made more intelligent for machines to perform dedicated tasks. You can also search for courses on the internet that have topics like reinforcement learning, deep learning frameworks, etc. in its course overview. Make sure that you know how to build artificial neural networks from scratch. You will be in heavy demand by the firms if you are skilled in deep learning because of the need of automating processes.

Practical Deep Learning

You can try your hands on the most popular Deep Learning software(s) which are used by firms/industries like Neural Designer, H2O.ai, Microsoft Cognitive Toolkit, Apache SINGA, Caffe, etc. You can work on example data set and can try to design your neural network. Practical learning will make you grasp things better and you will also specialise yourself in building neural networks.

A lot of online courses provide you with industry-oriented learning of deep learning with practical activities. You should be familiar with the tools and applications used in the deep learning industry. You can read case studies on different deep learning problems and can try to find solutions to real-world problems. You can work on various projects available on the internet on deep learning which will hone your skills.

Conclusion
Starting from knowing the prerequisites to building your neural network, you can get started in deep learning easily. If you are good at programming and mathematical skills, then it will take even less time to be skilled in deep learning. A systematic approach towards learning deep learning is offered by many Deep Learning Courses available on the internet. Start learning now!

What is Data Analyst Certification?

Posted on October 7, 2020January 30, 2021 by Imarticus Learning

A data analyst certification is a short-term course that makes you eligible for the entry-level job as a data analyst. The responsibility of an analyst is to find the relevant data for a business to process, analyze, and design it to the best effect for better business prospects.

Finding out the latest trends in any business helps with its growth and attracting more customers or clients. It is the data analyst who processes such data to find the best solution for the ideal growth of the business.

The course

A data analyst certification course includes the understanding of the analyzing tools, certain programming languages to use the data properly, and statistical awareness to compile the data and results to come up with a workable plan.

Most of the certification courses offer real time business experience in collaboration with a specific business or company. It helps the student to have actual experience in the field and what to expect from the job.

Some courses also help with the placement or provide interview opportunities.

Eligibility for the certification

Although knowledge in computer science would be an added advantage, most of the data scientist courses are open for graduates in any field. The most common eligibility criteria include a degree in Mathematics, Computer Science, Statistics, Economics, etc.

Having prior knowledge in programming languages, SQL database, data warehouses, Advanced MS Excel, etc would be an added advantage. Knowledge in these areas would help develop the necessary skills for an analyst to polish and develop the expertise.

The role of an analyst

An analyst is someone who handles the analysis part. Nowadays, almost all businesses utilize the huge bank of data provided by their customers to their best opportunities. In addition to this, there are also various sales and statistical data which could also be an ideal opportunity to grow the business.

Imagine the data to be a thousand-piece puzzle board mixed with other irrelevant puzzle pieces.
An analyst must be able to spot the relevant pieces, categorize them, and analyze it to find the right position to fit into, to make up the whole board complete.

In a similar manner, the analyst needs to find the relevant data, process it properly using the analytics tools, and design it into a workable format using the various programming tools and statistics.

What is expected?

Data analysis in a constantly growing and demanding profession. A data analyst is expected to have certain skills to make the job more efficient. These skills are not confined to academic levels.

A creative mind to interpret the data and a good analytical mind are highly relevant for the analysis. An analyst must have an analytical mind and be creative to use the facts, figures, and specifications to design the plan and execute it well.

As an analyst, you will be expected to predict the change in the business market and find out what the clients need or expectations from the business.

An analyst will need to go understand the goal of the business, go through the data to select the most relevant information. Then, this information is utilized to devise a plan to promote the business and attract more clients.

Enrolling into a quality data analyst certification course is only the first step into the bigger reality called the data analytical world. As mentioned, finding out the latest trend is the key to better prospects and more often this key might be well hidden behind the vast database. An efficient analyst should be able to spot such openings to make way for the inevitable.

Also Read: Will Doing Big Data Analytics Courses Help To Make Mid Career Jump

What is Change Management Tools and Techniques?

Posted on October 6, 2020December 5, 2023 by Imarticus Learning

Change is the only constant, not only in life but also in business. Just the way we adapt to situations in our personal lives, we also need to adapt to changes at work. Thus, a change management course helps a business apply a strategic approach and deal with things that alter. It includes using tools, skills, and resources to drive success.
The best example of change is the coronavirus outbreak in 2020. It forced most businesses to cope up with the current market scenario. The companies that have managed to survive and are still struggling had to adapt to ‘the normal.’ However, many have had to shut down not only because of failing to adapt to changes but also for losing relevancy during trying times.

Change Management Tools and Techniques

To incorporate the change management course, you need tools for your business. Here are the primary techniques that most companies need:

Flowcharting: Flowcharting a basic formula to bring people on board to understand where the company stands and how it is likely to proceed. The best way to go about this is by asking all the managers to give individual options and see how they perceive. It will bring forward conflicting views that can be debatable and concluded upon.
Once you implement a change, you can add it to the flowchart so that every member can keep up with it. The strategy not only helps create the perfect flowchart but also allows everyone to contribute and feel important.
Data collection: Collecting data on facts on how well the company has evolved and where it currently stands is crucial. The process records risks, competition, opportunities, and helps change management in a constructive way. It also reduces decision-making time and avoids unnecessary debates without facts.
Correct data helps create a metric design, which is easy to understand. The process also includes cycle time, range, and total flow of units through the timespan. The results help identify errors and units that need rework.
Force Field Analysis: Psychologist Kurt Lewin developed Force Field Analysis. His theory explains that success is attainable when driving forces are strengthened and resisting forced are weakened.
Inhibitors of change are usually resistance from the members of a business. However, if members can accept change and focus on its benefits, there are more chances of success. The hierarchy needs to help their subordinates to deal with changes and reduce resistance.
Culture mapping: Every business has its own set of concepts, values, practices, and norms. Some typical ones include respect for authority in terms of decision-making and reward system based on performance.
People responsible for change management in a business must be well-versed with the organizational culture; only then can they apply appropriate improvement practices.
One of the most difficult things to change is the attitude of continuing things how it has always been. Thus, the first thing to target is existing paradigms and then move to a newer change management course.
Plan: Having a project plan is the most obvious, but that is also what keeps us on track. A proper plan that everyone follows works like a framework. It helps people understand where there can be flexible and where there needs to be a boundary.

Most times, people working in several business departments need to adapt to changes simultaneously. Thus, it is crucial to utilize the management tactics and have a straightforward plan to propose new alterations.
A sound business plan helps people know their roles and how to manage their deadlines. You need to keep your company agile through the challenges and cope up with changes positively.

Also Read: What are the types of change management

What’s the Benefit of Studying Business Management?

Posted on October 3, 2020 by Imarticus Learning

The world is evolving every minute. With this evolution, more and more people are becoming educated and aware. This brings in a need of having an edge over other people. Business Management gives you that edge. With business management, you understand the dynamic world around you and then work according to this dynamic environment. There are several benefits of studying business management and the blog would talk about those benefits.

What is Business Management?

Business management refers to the art of conducting operations and managing errands for a particular business. These activities include delegation, monitoring, implementing, etc. Business Management requires the person to be versatile and pro-active.

Benefits of studying business management

It is considered to be a long term investment: Investing in education is like the best kind of investment. An investment in business management will give you the best returns. The job you secure after doing business management will make sure that you pay off all your debts. Taking up a business management course is like the best way of upskilling yourself.
Employers prefer individuals with a business management degree: In a pool of graduates, an individual who has a business management degree is most likely to be preferred for the job. A business degree will give you all the insights which are important to survive and outperform Employees will give a lot of weightage to people who have formal educational qualifications.
You will gain transferrable skills: A business management course will make you ready for the corporate world. This field of education gives you transferrable skills. These skills can be used in all kinds of jobs like Government Jobs, Private jobs, etc.
Will train you to become a more effective leader as well as a team player: With a business management degree, you are imparted with all kinds of qualities. The course aims at making you a strong and effective leader as well as a team player who contributes effectively to a team. Both of these skills are important as when you start your corporate journey, you are most likely to work in a team. Therefore, it is important to be a good team player. On the other hand, in the corporate world, a person with a business management degree climbs up the ladder quickly. Therefore, you must have the skills which are needed in a good leader.
Competitive edge: By taking up a degree in business management, you are most likely to gain a competitive edge over other people. The course will make you stand out of the crowd. Employers think of people with a management degree to be superior to the rest. You will be getting preference everywhere. In case you feel to take a similar course, you will be forced to take a back seat concerning the job scenario as the employers might think that you are not ready for the market and you will not be able to take initiatives for the growth of the business
Career Opportunities: An individual with a business management degree will be considered for a job in all kinds of gains. The individual can get into finance, marketing, operations, logistics, etc depending on his preference. A business management course gives you an overall understanding of all the domains so that you can take an informed decision on what to choose and what will keep you happy and engaged.

Conclusion

A business management course is like a boon for the individuals. It will open the doors of all the career opportunities possible. It will also give you standing in the professional scenario.

Top 9 Soft Skills Every Employee Must Possess in the Age of AI

Posted on October 1, 2020 by Imarticus Learning

It is the year 2020. The technological world is brimming with new concepts and ideas. One such concept that has been undergoing a series of upgrades is, Artificial Intelligence.

For decades we have been trying to imbibe human-like emotions and features in machines. Off late we have seen some successful AIs in the market. Artificial Intelligence has been making waves in the world of technology and is making its presence felt in places like social media monitoring, proactive healthcare management, automated financial investing, smart assistants, virtual travel booking agent, robot manufacturing, disease mapping, and the list goes on. Be it your social media feed or your Google search, there is AI in the background. Artificial Intelligence courses are also being offered by the top universities since more and more people are taking a keen interest in learning AI.

While we are trying every possible way to make machines behave more human-like, there will be a time when machines will take over the industry replacing humans. Since machines will be doing most of the technical and automated work, humans must look forward to inculcating more humane qualities in order to be favorable employees in the future. With hard-skills being induced in robots , humans have to acquire soft skills in order to be able to communicate and build better relationships with people at workplaces or otherwise.

Here are the top 9 Soft Skills that Employees will be requiring in the age of Artificial Intelligence:

Creativity: Creativity is intelligence having fun, Albert Einstein said. It is an important aspect of intelligence since it helps the employee come up with fresh ideas. Creativity is like a breath of fresh air. It doesn’t necessarily have to be poetic or artistic. Any novel idea can be attributed to creativity. No matter how advanced a robot can be , it definitely cannot pick up a skill like creativity.
Analytical Thinking: In easy words, analytical thinking is the ability to observe a problem and provide a solution with logic and reasoning. Analytical thinking is essential in making decisions and problem solving. Observation is one of the most key aspects of Analytical thinking. Developing this skill will always keep you a step ahead and make you a potential employee at the workplace.
Emotional Intelligence: As important is Intellectual ability, emotional intelligence (EQ) is crucial for a happy and successful life. Emotional intelligence helps you build stronger connections with people around you. It helps you in maintaining bonds at work and can help you accomplish your goals better. EQ also comes in handy while making sound decisions since it helps you distinguish between things that matter to you and things that don’t. Given a robot’s inability to build relationships with humans, EQ is an important skill that will help employees get better feedback at work.
Interpersonal Communication Skills: Some people have innate communication skills and can start fruitful conversations with their peers. The ability to have an engaging yet informative communication skill is mostly inherent but that doesn’t mean that it isn’t possible to polish this skill in case you’re lacking in it. How you say something is as important as what you say. Demeanor, facial expressions and body language are elements that need to be worked upon.
Active Learning with a Growth Mindset: The hunger to learn more and get better everyday is a skill that has to be inculcated in ourselves. One way to have a growth mindset is to keep learning. Look at challenges as opportunities and strive to overcome them. The day you decide that you know everything, that day you’ll be of no use to your employer. Hence learn and expand your knowledge. Keep improving your skills and you’ll always be a valuable employee.
Judgement and Decision Making Skills: It’s no doubt that machines are able to process far more information than humans but they lack the skill of making sound decisions that humans are capable of. An employee must instill decision making ability to reach effective conclusions.
Leadership Skills: A leader must possess qualities like honesty, confidence and the ability to make decisions. A leader must be able to come up with solutions to the common problems encountered at workplaces and motivate employees to perform better.
Diversity and Cultural Intelligence: With the industry going glocal and people of diverse backgrounds coming together to form a team, it is important to embrace diversity and create an inclusive environment to work in. Cultural Intelligence (CI) is the proficiency to work in culturally diverse spaces. Every individual has his own unique way of approach towards the world, working in a diverse environment will ensure more effectiveness in decision making.
Embracing Change: Change is natural and it’s important to approach change with an open mind. Accepting changes help you to become flexible and helps you to adapt better. In the age of AI, change is inevitable hence you should always look at it with a positive attitude, shape yourself better and align with changes around you.

Also Read:

Top Artificial Intelligence Trends For 2021

Posted on September 30, 2020September 6, 2021 by Imarticus Learning

The coronavirus pandemic has impacted the global economy like never before. However, people are doing their best to adjust to the current scenario and make the most of their possibilities. For instance, it makes us realize the significance of artificial intelligence, now more than ever. The usage of self-teaching algorithms, coupled with smart machines, will make our fight against COVID-19 easier.

Artificial Intelligence Trends 2021

Even though the focus on AI was slightly diverted because of the delays in development across the lockdown period, there is nothing that can stop the possibilities in the future. Let’s take a look the artificial intelligence trends that will dominate 2021:

Efficient Data Analytics and Insights
Have you wondered how the governments across the world kept a record of the number of growing transmissions? Global health institutions, educational research centers, and governments have collectively joined hands and used advanced technologies to keep regular track.
Technology is the reason why the pandemic hasn’t been as tragic as it could have been. For instance, the 1918 Spanish Flu killed almost 50 million people globally. Currently, we don’t just depend on scientific development but also on growing communication technology. In 2021, AI will be on the list of such developments and manage epidemics and pandemics more effectively.
Over 28,000 papers related to COVID-19, on medical and scientific literature, was published by April 2020. A search engine by natural language processing (NLP) algorithms is available online. Thus, anyone searching for AI assistance will get this dataset readily available.
Solution through AI will also help other severe medical conditions like cancer; there has been a harmful impact on other medical concerns due to the primary importance of coronavirus. AI will dedicate to healthcare in a broader aspect than just tackling a pandemic.
Automated Detection for Prevention
During the lockdown, drones helped the government keep a check on people not maintaining social distancing. Soon, drones will have the ability to detect coronavirus positive patients by reporting people with a high temperature in a crowd. Drones will use computer vision technologies to analyze data caught on cameras. The reports will help local authorities quickly find the possibilities of virus spread.
Again, using facial recognition technology will become more familiar with the help of computer vision algorithms. Although the concept is controversial due to privacy concerns, the system helped police catch people escaping quarantine. It will also track movements made by people who have symptoms when they are amidst a crowd.
Business to Go Through Digital Transformation
2020 changed the way we work and socialize. While many industries are still in a shutdown mode, digital business growth is at an all-time high. For example, Amazon made record sales going 40% up from last year’s sales.
With the help of AI tools, businesses can grasp changes in customer behavior. Companies that didn’t understand the impact of digital presence are now switching over to understanding behavioral analytics.
Tools that give access to self-service will prevail much more in 2021 than what it is not. Thus, AI will be a part of small and medium-sized organizations looking to push their competitiveness.
Artificial intelligence Can Stop a pandemic Before it Starts
Do you know that AI provided us the earliest reports of the coronavirus pandemic? Yes! It is true. A tool by BlueDot, a Toronto-based company, found out about a possible outbreak while scanning 100,000 reports from media sources.
AI algorithm focuses on the future. Before another pandemic, technology will not only predict possibilities but create ways to combat its spread.

Breakthroughs in the artificial intelligence course will alert us about such dangerous outbreaks and help curtail it. However, along with technological development, global politics will also impact the course of advancement.

Also Read: 10 Interesting Facts About Artificial Intelligence

Category: Management