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Category: Management

Imarticus Learning: Fuelling India’s Data Analytics Workforce

Posted on by Imarticus Learning

What is Data Analytics?

 Data Analytics involves analyzing raw data and drawing meaningful conclusions and patterns from that data. In data analytics, a lot of processes are automated to eliminate manual intervention. You can take up a data analytics course to understand the intricacies of the subject.

In data analytics, a lot of algorithms are prepared to make the job easy. These days you can take up a data analytics course with placement. A data analytics certification course makes you credible enough for the job.

Understanding Data Analytics

best data analytics certification courses in IndiaData Analytics can be complex when you try to understand it. A data analytics certification course can help you know what the subject entails and how to make the best use of it. The data analytics course will also introduce you to the world of algorithms.

Data Analytics is a broad subject that includes several diverse types of data analysis techniques.

Data Analytics can be used to mine different kinds of data insights. These insights can be used in improving processes and transforming them for the convenience of the data users. You can take up a data analytics course with placement to practically apply these algorithms and techniques of data sorting and data analysis.

Companies like Imarticus Learning are tirelessly working towards making the Indian workforce tech-savvy and well-versed with data analytics and its application. If more and more workforce joins hands with Imarticus to learn data analytics, the workforce will become digitally enabled to deal with a large amount of data. They would know how the data would be put to proper use.

Use Cases of Data Analytics

Data Analytics training can be used to understand several trends that dominate the market. You can apply predictive analysis using the insights from these data points. Several industries are now making use of data analytics to optimize their processes.

For instance, in the manufacturing industry, data analytics is used to store and record runtime, work queue, and downtime of all the machines in the factory. The data can then be utilized to optimize all the processes and to make manufacturing better.

However, data analytics is not limited to spotting bottlenecks in the process. It can do much more. It can make the entire process better and more efficient. You can also use data analytics to speed up the manufacturing process as a whole, as with data analytics, you can reduce the waste to a great extent.

Types of Data Analytics

If the workforce knows how to use Data Analytics, they will be able to use technology better. Some of the types of Data Analytics are:

  1. Descriptive Analytics: This is used to understand what has happened over a while.
  2. Diagnostic Analytics: If something happens, you can analyze what went wrong using diagnostic analytics.
  3. Predictive Analytics: In the case of predictive analytics, the algorithms are used to predict a future trend.
  4. Prescriptive Analytics: These algorithms are used to take a suggestive measure for any action.

Conclusion

Building an analytics workforce is the need of the hour. Therefore, it is essential to train more professionals and prepare them for the analytics world. Digital literacy is very important to automate functions, and data analytics is an integral part of it.

Imarticus is on a spree to enable people to use data analytics to decode patterns and understand data. Imarticus has several courses on data analytics. You can enroll in all of these courses to get an in-depth insight into how data analytics works and make the best use of it. The certifications from Imarticus have a great value in the industry.

Top 7 industries that depend heavily on artificial intelligence and machine learning

Posted on by Imarticus Learning

AI and machine learning are possibly two of the most versatile technologies of the corporate world. It is now used in most sectors to extract and analyze data to make logical decisions. It also helps them to cater to their client’s needs more accurately and make helpful suggestions regarding the same.

It has also come to light that many major companies have decided to use AI to take better care of their employees’ well-being. This is high time to do a machine learning and artificial intelligence course if you are thinking of good career prospects. A lot of institutions in India provide good artificial intelligence and machine learning courses with certificates.

Imarticus Learning has a good AI and ML certificate course that will be beneficial to students who want to pursue this career. Experts state that artificial intelligence and machine learning are going to be even more in demand in the near future.

AI and machine learning courses in IndiaThey find applications in a versatile field, so you will be able to work in your dream sector. And not just that, you will even be able to change sectors as most major companies already rely heavily on artificial intelligence and machine learning.

Industries that rely heavily on AI and ML

Most of the big industries already rely heavily on AI and machine learning. And, the ones still left behind are starting to come over to this side slowly but steadily. Here is a list of 7 industries that function through AI and machine learning the most:

Transportation

AI and ML provided algorithms are used to monitor and predict the clients’ needs and give suggestions accordingly. From traffic management to the production of self-driving cars, all of it relies heavily on the data provided by AI and ML.

 Finance

Instead of replacing accountants with an automated system, AI and ML have proven to be reliable support tools for accountants and all of the finance industry. By taking on the grunt work, it lets accountants focus on the creative aspects of their jobs.

 Advertising

Collecting data from the online habits of the target audiences and providing advertisements according to it are the main reasons this industry has profited so much in the last few years, and it is all thanks to AI and ML.

 Healthcare

Thanks to the data collection of the patients by AI, the process saves a lot of time on both sides, which is crucial in a life or death situation.

 Agriculture

AI-powered robots can detect the specific places where weeds and pests are harming the plants and take actions to prevent them. This helps in developing a resistance to herbicides.

 Production industries

From dealing with supply chain issues to predicting malfunctioning machines, AI and ML have proven to be irreplaceably helpful to manufacturing or production industries.

 Retail and customer care

It is one of those fields that has benefited from AI the most. From bots to deal with customer issues and predicting clients’ needs to offer suggestions, this industry runs a lot smoother because of AI and ML.

 Conclusion

Artificial intelligence and machine learning courses can land you your dream job in any sector. It is one of those jobs that will never run out of positions as all industries need the help of technology to function properly these days. Check out Imarticus Learning’s machine learning and artificial intelligence course to learn from the best and always be on top of your game.

Related Article:

Top AI and machine learning courses in India

What are the Perks of Learning Data Science with Imarticus post COVID-19?

Posted on by Imarticus Learning

Covid-19 has pushed most corporate sectors to the inside of people’s homes. This in turn has made the already big flow of data turn into a tidal wave. Basically, the whole industry more or less relies on data analytics now. Experts state that there is going to be a major hike in the positions for data scientists in the near future.

artificial intelligence and machine learning coursesHowever, one thing to be concerned about is that it is going to make the already competitive industry even more neck and neck.  The first preference for positions is going to be data scientists with experience, and then freshers with a high level of skills.

The best thing to do in this situation is to properly learn data science with artificial intelligence and machine learning from a good institution.

Imarticus Learning is one of the topmost options when it comes to data science in this country. They offer PG programs in the data science course with placement in renowned companies. This will give you a much-needed boost when you are starting as a fresher in the sharp-edged competitive world of data science.

Major changes

Because of the world working in a virtual space, it has recently been in the trend for companies to hire professionals from other parts of the country along with locals. This is true for all sectors, not just data science. The perk of this trend is you can get a job anywhere in the country without moving an inch from your home. The downside is, you’re competing against numerous data scientists all over the country.

The only thing that will give you an edge over others in this condition is to learn data science from institutions that will put you in a speed race with a proper destination. Basically, institutes that will enhance your skills to the maximum while giving you a placement offer right out of your course.

This will help you gain all the real-world experience you might miss out on while being stuck at home, as companies used to provide workshops as well as in-person training for the new data scientists joining the team.

 Benefits of a data science course with Imarticus Learning post Covid-19

Many institutes in India offer an artificial intelligence and machine learning course after graduation. Imarticus Learning is one of the foremost institutions when it comes to this field. They have various forms of learning to offer, such as full-time courses for students, as well as part-time ones for working professionals who want to polish their skills again or change careers. There are lots of benefits of getting a data science degree from Imarticus Learning, such as:

  • They offer a full-time course, as well as a part-time one for those already with a job.
  • They have a course set so versatile that you will never have any problems working in any sector with your data science degree.
  • They provide a data science course with placement offers to renowned companies in different sectors. So, you have a chance of working in your dream job right from the start.

Conclusion

If expert reports are to be followed, companies in the future may be inclined to hire more versatile workers than specialists. So future data scientists will need to be razor-sharp all the time with an ability to do a variety of different types of work at the same time. Check out Imarticus Learning’s all-rounded PG program on data science if you are thinking of pursuing this career or re-polishing your skills.

Case Studies: Training Neural Networks to Play the Legendary Snake Game!

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Video games play a critical role in developing and evaluating futuristic AI and ML models. Thanks to their performance in a variety of tests, the gaming world has been used time and again as a playground for testing AI devices.

This isn’t a new phenomenon, but one that goes back at least 50 years. The Nimrod digital computer built by Ferranti in 1951 is widely touted as the first known example of the use of AI in gaming. Mega Man 2 was used by Japanese researchers to test AI agents and the AI system Libratus was used to beat pro players of Texas Hold ‘Em Poker to make technological and gaming history.

The Snake game is quite a familiar feature of many childhoods because of its simple objective and playing process. The player controls the snake by eating apples which are spawned at random locations to optimize the game. For every time the snake consumes an apple, the snake must begin to expand one grid. And the one rule? Don’t let the snake collide with anything.

To take things one step further, global researchers and have been applying neural networks and machine learning algorithms to this legendary game.

Machine Learning Course If you’re a student in a neural network course or a machine learning course, this is fertile ground for experiments of your own! Here are some case studies born of such experiments:

Creating the Snake Game Using Deep Reinforcement Learning

In this experiment, the researchers used a Convolutional Neural Network (CNN) that had been trained with a Q-learning variant. The aim of the experiment was to use a Deep Reinforcement Learning model in enabling a self-ruling agent to play the game with the constraints getting stricter as time passes.

A reward mechanism was also designed to train the network, make use of a training gap strategy to circumvent training during target changes and categories a variety of experiences for better training.

The final results of the experiment showed that the agent outshone the ground-level DQN model. It even surpassed human-level performances in terms of high scores and duration of survival.

Playing the Snake Game Using Genetic Algorithms and Neural Networks

Researchers at a Polish university used a framework of a neural network that essentially determined what action to take from any given data at the time. The researchers referred to the neural network as “DNA”– it functioned as the “brain” of the snake, so to speak, due to its role in influencing decisions.

The class has patterns with weights as well as other patterns with biases, reflecting each neural network layer. Next, a function is created that allows the calculation of performance. In this case, the performance included the number of moves that the snake executed without dying as well as the scores.

Neural Network TrainingThe neural networks training that were used had one inconspicuous layer with six neurons as well as a genetic algorithm to identify the best possible methods and parameters. The population of snakes was first generated and allowed to play so that researchers could identify the number of steps and the count of apples that were consumed.

Based on this, the researchers identified which snakes performed best and would be selected for breeding. The “parents” were chosen and the DNA– weights and biases– transferred to the new snake produced.

The selection stage was followed by a mutation, where every new snake ended up inheriting a neural network from its “parents”. This was repeated time and time again until the best results were achieved.

Conclusion
The video gaming world has played pivotal roles in enhancing the quality and complexity of AI and ML over the past few decades. It remains to be seen what future advances come of this surprising yet clever collaboration.

What Is Experiential Learning and Is It the Right Choice for You?

Posted on by Imarticus Learning

The days of rote learning are long gone. With the development of EdTech and similar technologies used across campuses all around the globe, learning now is more of an experience than a curriculum. As an organization that aims to future proof itself, it is time you adapt and embrace the modern technological interventions.

What Is Experiential Learning?
David A. Kolb, an American Education Theorist defines learning as the process whereby knowledge is created through the transformation of experience. The definition of experiential learning closely follows this.

Experiential learning is the process where candidates learn the course material through experience paired with other traditional forms of teaching.

How to Develop an Environment for Experiential Learning?

Now that you know the meaning of experiential learning, let us explore how as an organization you can develop and foster an environment that promotes the same.

  1. Create Safe Learning Spaces

One of the first and most important criteria for developing experiential learning is to develop safe learning spaces, where students have the ability and the freedom to learn better.

An important aspect to understand here is the fact that safety doesn’t entail spaces which are risk-free. After all, students need to have some form of risk evaluation in order to learn. Safe learning spaces can thus be explained as spaces where experimentation is encouraged and failures are embraced without judgment. This will not only allow the students to be more creative, but it will also promote them to be bolder with their assessments, thus fostering a better learning experience.

2. Take Account of Logistical Challenges

While the development and promotion of experiential learning can sound easy to adapt at first, there are several hurdles that you need to consider. Mentioned below are some of the most significant aspects for to you keep in mind:

  1. Survey the learning spaces you already have at your disposal and analyze if they will be able to adapt to safe environments to foster experiential learning. Not all learning spaces are built equal and thus you need to analyze and sit down with experts before you proceed further.
  2. You need to make sure that all the enrolled students understand the values of the environment, both within and surrounding the learning space and come to respect the same. Without respect for the learning environment, the students will only learn half of the principles and values and thus this aspect needs to be taken care of.
  3. If you are considering creating an environment off-campus, security is a concern you need to address. Conduct background checks on all the properties you are taking into consideration and assess with your experts which one suits your purpose the best while taking into account security measures.
  4. One of the most difficult challenges of experiential learning is scheduling for all the involved stakeholders. Be it the students or the instructors, scheduling needs to be done months prior so that no other commitments or engagements are affected in the process. This calls for careful planning and effective communication both within and with all the stakeholders to ensure a smooth process for everyone.
  5. Another concern for students and instructors is transportation. An approach followed by most companies is to hire an external contractor who will be responsible for all the transportation needs of the stakeholders. This way, there is no concern for parking and other logistical difficulties which might hinder the learning process.
  6. Last but not the least, is the concern for privacy. In this world of data leaks and compromises in security, as an organization, you need to maintain and ensure the highest standard of security and privacy for all your students and instructors. Always make use of secure databases and restricted access, so that vital information is safe to round the clock.

Conclusion
Experiential learning is one of the latest trends in the education technology industry and companies who have adapted to it, have reported benefits over other conventional learning methodologies. Now that you know all about experiential learning, go ahead and discuss it with all the stakeholders and make an informed decision on its applicability in your organization.

Top 15 Scrum Master Interview Questions

Posted on by Imarticus Learning

Scrum is a framework under the agile methodology that allows quick iterative modulations for a project under agile principles. The Scrum Master has a crucial role to play when it comes to project management. Scrum masters are responsible for overviewing the project development process and managing the scrum team to boost overall productivity. Given the importance of this role, it has become a lucrative career prospect for people in the IT industry. A Scrum certification can help you obtain relevant knowledge regarding the domain.

Important Interview Questions with Answers

Here is a list of top 15 scrum master interview questions with answers to help you prepare for your job interview.
Q. What are some important benefits of performing Scrum?
A. Scrum helps to continuously improve the process by repeatedly looking into the actual performance of the software. It has more transparency and visibility. It also reduces the cost of failure and boosts the ROI for the project.
Q. List the main artifacts of the scrum process.
A. Some of the main artifacts of the Scrum process include product backlog, velocity chart, sprint backlog, burndown chart, and product increment.
Q. Define a Scrum sprint.
A. A Scrum sprint can be understood as a short time-frame during which a scum team completes a work. The work here includes a potentially releasable product increment.
Q. What do you understand by product backlog in Scrum?
A. A Scrum product backlog can be explained as a list or menu that includes all the activities that need to be done in the project. The items on this list can be technical or user-centric.
Q. Explain the role of a Scrum Master in Scrum.
A. The main role of a Scrum master is to overview the project requirements and make sure that the team is meeting the project deadlines. The Scrum Master is also responsible for removing any impediments in the process and ensures that all Scrum practices are followed. They have to boost the overall productivity of the team in the process.
Q. Describe the main elements of the scrum burndown chart.
A. The scrum burndown chart has two axes; the X-axis and the Y-axis. The X-axis depicts the total working days whereas the Y-axis displays the work due in the process. Other elements include the start point, finish points, ahead of schedule, behind schedule, estimated and actual task remaining.
Q. Briefly explain the drawbacks of using scrum.
A. One of the drawbacks of using scrum is that the daily meeting and frequent reviews require substantial resources and continuous changes.
Q. Explain the concept of velocity concerning Scrum.
A. Velocity is simply the total effort a team is capable of in a sprint.
Q. What is the story point in scrum?
A. The story point can be understood as a parameter used in agile project management to assess the difficulty of executing a given user story.
Q. Explain scrum poker.
A. Scrum poker is a method to evaluate the relative size of development goals in the software development process.
Q. How is scrum different from the Iterative model?
A. Scrum is a combination of iterative and incremental model.
Q. Explain the ceremonies performed in Scrum.
A. The three major ceremonies performed in scrum are Planning meeting, review meeting and retrospective meeting.
Q. Mention any two other agile methodologies apart from the Scrum.
A. Two other agile methodologies apart from Scrum are KanBan and Lean.
Q. What should be an ideal time-frame for a sprint?
A. An ideal timeframe for a sprint can be two to four weeks.
Q. How can you track progress in the sprint?
A. Any progress in a sprint can be tracked down by the Burndown chart.

India Moves to Install an Automated Face Recognition System

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What is Facial Recognition?

Facial recognition is a technique that allows the identification of an unknown person or helps determining a specific person’s identity just by using their face.

It is a part of artificial intelligence technology called computer vision. Facial recognition, however, is specialized and can come with baggage and some spoofing vulnerabilities for a few applicants.

How Does Facial Recognition Work Exactly?

Early automated face recognition systems depended on biometrics, like the distance between the person’s eyes, which would convert the two-dimensional features being measured into numbers that would help describe the face. This process of recognition involved comparing these vector values to the already known set in the database.

One complication that was faced in this initial technique was that it did not account for minor errors like head rotation and tilt as it was a more geometric approach.

artificial intelligence and machine learning coursesNow the software that is being focused on has a more photogenic approach,

allowing a more efficient three-dimensional facial recognition.

Things will be made much clearer, in this respect, to aspirants by taking up an artificial intelligence and machine learning course and will help them succeed in an artificial intelligence career.

What Does India Have in Mind For The Use of Automated Facial Recognition Software?

India, in a recent bid to automate the Indian criminal system and improve national security, has decided to implement an automated facial recognition system. This is being done starting with the headquarters of the NCRB in Mahipalpur.

Facial recognition has been a branch of artificial intelligence that has been strongly debated for a long time with a large number of skeptics worrying about the various threats that it can pose to privacy. The initial concerns included that facial recognition software if implemented completely can track the location and movement of citizens, giving this information to the government, without consent. These concerns have been dealt with and hence the software is now being put out.

An automated facial recognition system would be available to all the branches including state police, central forces, and central agencies which all fall under the central government.

According to the NCRB, the presence of an automated facial recognition system would serve as storage for criminal photographs while also facilitating a more efficient method to source out crime patterns and would allow a better understanding of criminal motives.

Using just one click of an icon on a mobile phone, crime fighters will be able to detect all of the criminal histories associated with a person from the automated facial recognition system database. It also has the ability to source out and collect data from a wide set of sources like CCTV footage and sound an alert if a blacklisted criminal is located.

It also updates the database by adding in new information and new pictures that it can collect through various forms of media like newspaper clippings, raids, sketches, and if a picture has been taken by a citizen.

This system may also help collect proof for crimes and thus aid the police and court in indicting a criminal quickly.

HOW A SUPPLY CHAIN MANAGEMENT TRAINING IS PROVING HELPFUL DURING PANDEMIC

Posted on by Imarticus Learning

As the world got rocked by an unprecedented pandemic, the supply chain management course proved to be one of the best decisions for some students. With this type of training, businesses are more prepared to ramp up their production and need a healthy workforce to handle it.

In this blog post, students will learn the importance of a supply chain management career. So, let us start with the fundamentals of supply chain management.

What is supply chain management?

Supply chain management is a network of entities involved in the process that begins with raw materials and leads to production, warehousing, distribution, and marketing. The goal is for distributors to get products into the hands of consumers efficiently by reducing costs while also maintaining product quality at all times. It is where supply chain management training comes in!

Supply Chain Management Training: Why it’s important?

SCM is a thorough understanding of demand and inventory management. How stock prices fluctuate based on market movements are just reasons companies should invest in staff members who have undergone supply chain management training.

Typically, students interested in this type of career can complete a Supply chain management online course that focuses extensively on business and marketing principles. Students will learn how processes can be improved by effectively providing resources at each stage of the distribution process, including manufacturing, warehousing, transportation, marketing, and distribution. 

How A SCM Training Is Helpful During Pandemic

The importance of supply chain management gets neglected, but it is an integral part of any organization’s success. Good supply chains focus on internal processes and external factors such as suppliers, product development, finance & accounting, etc. They drive customer satisfaction by lowering risk exposure from poor quality or discrepancies with stock levels that might result from errors during production or logistics operations.

The time when products arrive at their end destination should be minimum and consistent with the manufacturing time.  The quality of products needs to match customer expectations. The supply chain must reduce risk exposure caused by external factors such as poor weather conditions. It might affect transport costs or delays due to political events or strikes.

In many cases, this is important when companies lack capacity or because it makes sense from an operational cost-savings perspective. Since purchasing power may still help drive down costs and improve the bottom line. It is also an essential aspect of supply chain management.

Why Enroll in SCM Program at Imarticus Learning

Supply Chain Management CoursesThe Professional Certification in Supply Chain Management online course and Analytics is created in partnership with DoMS and E-learning Centre, IIT Roorkee, and industry professionals.

Imarticus Learning aims to equip candidates interested in entering the operations and supply chain business with cutting-edge experience.

Supply Chain Analytics allows management to make data-driven choices at the strategic, operational, and tactical levels.

There is a scarcity of experts with process and analytical skills in the Supply Chain Management area. This credential prepares students for jobs such as Demand Planner, Data Scientist, Supply Planner, and Supply and Operations Planner, which are in high demand.

Some course USPs:

  • The Supply chain management course lets the students learn job-relevant skills that prepare them for an exciting Supply chain management career.
  • Impress employers & showcase skills with a certification endorsed by India’s most prestigious academic collaborations –  IIT Roorkee and Imarticus Learning.
  • World-Class Academic Professors to learn from through live online sessions and discussions. This will help students understand the practical implementation with real industry projects and assignments.

Contact us through the Live chat support system or schedule a visit to training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Hyderabad, Delhi, and Gurgaon.

What are the Top AI and Machine Learning Courses in India?

Posted on by Imarticus Learning

Artificial intelligence is one of the most talked-about technologies in recent years. It’s also an area expected to increase over the next decade, with AI and machine learning predicted to be worth $153 billion by 2025. This blog post covers what AIML is, the career scope, and the best courses to opt for a lined career!

Artificial Intelligence: Defined

Artificial intelligence is the general field for all types of AI and machine learning algorithms. In contrast, AI and machine learning courses refer to specific types of software or algorithm that can do certain tasks better than humans.

Artificial intelligence has many applications across different industries- from customer service chatbots on your favorite websites to autonomous vehicles driving you around town. It has been used in various industries such as healthcare, finance, engineering, IT services, and more – it’s even being implemented in education! There are also many career paths you can take within artificial intelligence.

Reasons why organizations are relying on Artificial Intelligence?

Artificial intelligence is a growing field in the industry, and it has been around for more than half a century. Still, its capabilities have improved very recently with deep learning algorithms. A lot of companies are getting attracted to AI because of its ability to make sense of all kinds of structured or unstructured data by using machine learning algorithms

  • From identifying cyber threats early on to preventing fraudulent financial transactions, Artificial Intelligence is being used everywhere with a vast amount of data.
  • Machine Learning helps organizations process large amounts of complex information- whether that’s online search queries or medical records – by teaching computers how humans think/work by providing examples instead of coding rules into them. It automates tasks based on experience and data.
  • Artificial Intelligence plays a vital role in the financial sector as it speeds up trading, helps to improve customer service, and provides more accurate predictions on which stocks will increase/decrease value, etc.
  • From improving communication with customers by providing instant responses to solving problems with the help of predictive analysis Artificial Intelligence has found its place everywhere, from manufacturing units to hospitals.

What is the scope of making a career in Artificial Intelligence?

Employers are looking for people who have gained experience in Artificial Intelligence through internships or projects they’ve been working on during their time at college because there aren’t many courses available that provide hands-on knowledge about AI right now.

If you decide to pursue a career in Artificial Intelligence, you can get started by following courses in machine learning and data science.

Alternatively, you could build up your skillset by opting to gain certifications provided by educational institutions with high-quality material and expert guidance.

Learn and Grow with Imarticus Learning:

AI and machine learning courseThe Artificial Intelligence and Machine Learning program certification has been designed to provide the best learning outcome to aspiring AI and Machine Learning learners.

This 9-months extensive program helps students prepare for Data Analyst, Data Scientist, Machine Learning Engineer & AI Engineer roles.

This Machine learning certification program bolsters foundational skills in AIML to gain a deep understanding of the subject. This course goes a long way towards helping unlock lucrative career opportunities in the coveted fields of Artificial Intelligence and Machine Learning.

Course USPs:

  • Master skills of AIML through the most relevant curriculum designed by industry leaders.
  • Get an exciting opportunity to participate in a unique 3-day Campus Immersion module & interact with peers.
  • Learn what New Age AI/ML Engineers do by solving the problems they face on the job.
  • Get the opportunity to work on multiple AI & ML projects & create your own GitHub project portfolio to impress potential future employers.

What Are the Types of Change Management

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What is Change Management?

Change Management is a process that helps organizations/firms to cope up with advancements. With all the technological enhancements going on, they need to adapt quickly to the changes. Their employees also have to learn and adapt to new working methodologies to grow. In this article, types of organizational change management & individual change management will be discussed.

Types of Organisational Change Management

• Evolutionary Change Management – It is one of the oldest and most experienced forms of change management. It is a part of natural selection where man has evolved and so do his thinking. It may not be evident in a short period but when we compare the state of today’s industries to the state of industries fifty years back, we might witness a lot of change.

• Revolutionary Change Management – This type of change management occurs when organizations/firms are forced to change due to extreme/foreign forces. It may be from the government, protests, etc. Firms have to cope up with these types of changes otherwise it may become a matter of survival of the firm in the market.

• Directed Change Management – Directed Change Management is a younger model of change management than the aforementioned models. It is designed to achieve a specific target/vision. Organizations have to use their custom models, strategies & processes to achieve the desired goal. It is of three types which are as follows:

1. Developmental Change Management – Whenever any organization brings changes in its working culture, methodologies, standards, etc. they have to cope up with the developmental change management. Examples of developmental changes are an increase in sales/capital, a shift in communication standards, etc. The firm has to make sure that each employee learns and adapts to the new changes. If they fail to do so, it will ultimately hamper the firm.

2. Transformational change management – It is a complex and challenging type of change management faced by companies/firms. They have to work on a vision/aim in which the future is uncertain. The hit and trial method is widely used to generate more information. Examples of Transformational change are shifting of business on a digital/virtual platform, complex mergers & acquisitions, etc.

3. Transitional Change Management – Transitional change occurs when the present state is going to be changed into something completely different and better. Examples are the launch of new services/products replacing the old ones, shifting of work locations, IT shifts, etc. The firm has to ensure that each employee should let go of the old working environment both mentally and emotionally to grow and develop.

Individual Change Management

The aforementioned change management types were in respect of organizations. Personal change management is also important for a person to adapt quickly to the changes and play a part in the development of the firm. it is also categorized into four types as follows:

• Exceptional Change Management – In this type, an individual has to make sure that personal trouble in any field should not affect all other parts of life and living.

• Incremental Change Management – In this one, an individual has to cope up with monitory hikes, new responsibilities to adapt to a new role.

• Pendulum Change Management – When a complete swing of the present state to another state happens, this type of change occurs. An individual has to make sure he survives

• Paradigm Change Management – This type of change occurs when a change in beliefs, morals of an organization happens. An individual has to learn new characteristics of the firm

Change management is a very interesting field and one can find various change management courses available in the market/internet to know more. There is a lot of competition in the market for market share, the firms which understand the importance of their employees make sure they grasp new things quickly and help in the development of the firm. This article was all about various parts of change management.

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