Why Should Engineers Learn Data Science Differently?

Posted on October 30, 2021July 11, 2022 by Imarticus Learning

Why Should Engineers Learn Data Science Differently?

Data science and engineers have a lot in common. They both need to know how to collect, store, analyse and visualize data. Engineers are taught these skills as part of their curriculum; however, they may not learn them as they would if they were learning Data Science from the start. The following is an overview of why engineers should learn Data Science differently than other disciplines.

A blog post intro paragraph engages professionals about why engineers should learn data science differs from other disciplines. Engineers are taught these skills as part of their curriculum but may not understand them simultaneously or efficiently without exposure to them earlier in life.

Why is Data Science important for Engineers?

Engineers always like to think about their work in processes and systems, also known as Systems Thinking. It is what enables them to build more efficient products by efficiently running those processes. By thinking of the world in this way, engineers can quickly solve data-related problems because they see all sides of an issue that deals with data.

It’s important to remember that engineering can be applied in any industry, including Data Science. As a data scientist, it’s often necessary to run specific processes and analyze the results. Engineers excel as they can take these processes and incorporate them into the current system that the company may already have set up, saving time and money in some cases.

Benefits of Learning Data Science for engineers.

Therefore it is necessary to run specific processes and analyze results where engineers excel in taking these processes and incorporating them into current systems that a company may already have set up.

Learning Data Science is important because of the benefits that engineers will gain. Engineers overall will be able to learn more efficiently about their field and how it fits into the bigger picture. By taking this information, they will be able to make smarter decisions in data-related situations.

Engineers should learn Data Science differently from other disciplines because it will make them understand better and more thoughtful about their field and how it fits into the bigger picture, enabling them to make smarter decisions in data-related situations.

Why Enrol in the Data Science program at Imarticus learning

Industry specialists created this postgraduate program to help students understand real-world Data Science applications from the ground up and build robust models to deliver business insights and predictions. The Data Science program is for recent graduates and early-career professionals (with 0-5 years of experience) who want to pursue Data Science and Analytics, one of the most in-demand fields.

Twenty-five in-class real-world projects and case studies from industry partners will help students become masters in data scientist careers. Exams, hackathons, capstone projects, and practice interviews will help students prepare for placements.

Some course USP:

The course lets the students learn job-relevant skills that prepare them for an exciting Data Scientist career.
Impress employers & showcase skills with a certification endorsed by India’s most prestigious academic collaborations.
World-Class Academic Professors to learn from through live online sessions and discussions. It will help students understand the practical implementation of 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 Algorithms in Machine Learning? How Does It Work?

Posted on October 29, 2021November 2, 2021 by Imarticus Learning

Machine learning is a vast field comprising of various data related operations such as analysis, prediction, decision making and much more. These applications require a set of well-defined steps to proceed with the idea designed for model construction. A set of well-defined instructions that produces some output or accomplishes a particular task is called an algorithm. The machine learning algorithms are broadly classified into 3 categories – Supervised, Unsupervised and Reinforcement Learning.

To choose an appropriate algorithm in machine learning, identifying the kind of problem is very necessary as each of these algorithms obeys a different plan of attack to deal with the proposed problem. Supervised learning uses an approach where the output is already known to the user or the individual while unsupervised learning concentrates on the concept of similarity in properties of the objects. Reinforcement learning differs from both of them and uses the art of learning from experiences.

Supervised learning

Supervised learning is used in machine learning tasks such as classification, regression, and analysis. It is considered as a concept that deals with labeled values. This means that the objects are categorized or assigned to different classes based on their properties. The algorithm implementation in supervised learning is done by a two-step procedure namely model construction and model utilization.

Firstly, the given data is cleaned and divided into training and testing sets. The model gains the ability to produce output by learning from the instances contained in the training set. The test set gives a measure of the model performance by producing accuracy. The accuracy indicates the amount or rather the percentage of unseen data that was computed correctly by the applied algorithm.

There are several metrics to determine the performance of the model and improve it if the performance is not up to the mark. This includes performing tasks like cross-validation, parameter tuning, etc. Hence, we can conclude that supervised learning uses labeled classes and target values to classify an unseen data point.

Unsupervised learning

In contrast to the supervised approach that already knows the predicted outcome, unsupervised learning uses the basis of similarity in properties to classify the unseen data points in the given n-dimensional space.

The main idea is to take a data point that is new to the given space, extract the behaviors of the data point, compare it with the already existing properties of the other objects and accordingly classify or categorize them into the appropriate group. The common examples of unsupervised learning are clustering, Apriori and K-means algorithm.

Reinforcement learning

Reinforcement learning is very similar to the animal kingdom where the animals do not train their offspring to perform a particular task but they leave them out in the ecosystem to learn from the experiences that it gains while struggling to accomplish a particular task.

The basic idea of performing reinforcement learning is to let the model learn on its own. It uses a trial and error strategy to gain knowledge from the available environment. According to the experiences gained from the conditions, it is exposed to, appropriate predictions and decisions are made. Markov Decision Process is an example of reinforcement learning.

Conclusion

Because of the wide variety of applications offered by machine learning, there are several Machine learning courses dedicated to offering the training in machine learning algorithms so that an individual can recognize the problem efficiently and work towards building an appropriate solution. Learning and understanding of machine learning algorithms are very easy. It just needs a proper classification of the interest in performing the desired operation.

Why Big Data Analytics Is a Good Career Move?

Posted on October 29, 2021October 30, 2021 by Imarticus Learning

Data is wealth, this doesn’t sound hyperbole in the modern-day scenario. A data analyst turns raw data into meaningful information that enhances the business and market share and who doesn’t want to grow? Let us look at the key points discussed in the article justifying Big Data Analytics as a good career choice.

Statistics indicate that the average salary of a data analyst in India is 10 lakhs per annum and this salary will keep on growing as you level up. There is a demand for candidates in this corporate world who have good command over big data and its analytics.

Big data analytics is trending globally, surveys show that the USA will have around 2.7 million job postings in big data analytics by 2020. If you are going for big data as your career choice, not only will you gain knowledge over a variety of languages, applications, and strategies, you will also have a chance to grow as the flow of data is never going to stop.

Big data analytics closely works in coordination with the Internet of Things and the outcome of big data analytics helps in business development and predicting trends. Big data also supports various other streams. It is a vast field full of opportunities. Big data analytics is not all about programming languages and statistics, it is also a way of providing solutions to existing problems. It is a way of providing strategies that help in the growth of businesses.

You will have to convey your point of view in your workspace and how it will help in enhancing the business. These things will help you to grow as a good orator and leader. You will also make a lot of business relations in this career. Business intelligence (BI) will also come into play if you work as a data analyst. So, there are a lot of parallel fields if you are a data analyst, such as the importance of big data and its analytics nowadays.

Surveys show that there is a huge demand for big data analysts but there is not enough skill set in individuals to meet the criteria. If you have studied well then you should go in the field of big data analytics as you would be valued and respected there. This deficiency of good data analysts and data scientists are faced in all countries and that is why education centers are providing quality education on big data and related fields.

You can find a lot of online certified course on big data analytics by trusted sources. Every company is trying to gain an edge ahead over others in this competitive era by predicting smart trends and business ideas using big data analytics. There are a lot of companies that consider big data analytics as a topmost priority as it helps them in increasing the efficiency and quality of their business. Why would you reject to be a part of this cutting-edge technology?

Big data analytics is quite versatile, you can choose among prescriptive, predictive and descriptive analysis depending upon your interest and work environment. You can also choose among a variety of job designations such as big data analytics business consultants, big data analytics architect, big data analytics, etc.

Whatever smart solutions analytics is providing today, there is always a scope of improvement and a need for human intelligence. There is a lot of requirement of people in current days who can think out of the box, who can understand and analyze big data and help in improving the business. This was all about the pros of joining the field of big data analytics.

Why the IIT supply chain management program the best of 2021?

Posted on October 27, 2021March 28, 2024 by Imarticus Learning

The supply chain encompasses all of the actions, people, organizations, information, and resources required to transport a product from conception to client. In the consumer goods industry, this is likely to include raw materials, production, packaging, shipping, warehousing, delivery, and retailing. The end goal is straightforward: fulfill the customer’s desire.

Further, supply chain management is the process of combining supply and managing demand not only within the firm but also across all of the supply chain’s innumerable units and channels so that they function together quickly and productively.

Supply chain management is critical for any firm since it can introduce various benefits. But, inadequate supply chain management can result in very expensive delays, quality concerns, or reputation issues. Poor supply chain management can also lead to legal concerns in some circumstances if vendors or processes are not compliant. Technology advancements have opened enormous possibilities for supply chain management, allowing supply chain managers to collaborate intimately and in real-time with supply chain participants.

This 6-month supply chain management online course has been specially prepared by IIT faculty and industry professionals to assist you in learning. With the ever-increasing trend of e-commerce, the number of products in transit has also increased. The number of supply chain management employees has increased disproportionately across industries. This training will prepare you to capitalize on this opportunity.

Why Pursue IIT Supply Chain Management Course?

The benefits of IIT certified supply chain analyst course are as follows:

Discover supply chain management knowledge and much-required analytical skills with this program built by IIT Roorkee’s DoMS & E-Learning Centre. This course will assist you to become more data-centric and improve supply chain selection by using the strength of Python.
This supply chain management online course will assist you to learn from one of India’s greatest faculties via live online sessions and conversations. IIT faculty workshops will help you construct essential concepts in SCM, while industry specialists will provide hands-on learning for SCM processes, tools, and strategies. This course will teach you how to construct a solid SCM foundation and use analytics through engaging live sessions with renowned trainers and industry professionals.
Participate in a three-day campus immersion session to tour the IIT Roorkee campus. During the campus immersion, you will connect with your peers and learn from IIT academics. You will get the opportunity to go to the Delhi or Noida campus and work on the Capstone Project with the help of expert mentors.
Tackle tough real-world challenges that necessitate a full understanding of principles, mastery of skills, and comprehension of the business context. With these real-world SCM projects, you can boost your resume and stand out. You will be able to create your own project portfolio and dazzle potential employers. Through rigorous in-class exercises and SCM projects, industry experts teach you crucial job-relevant skills.
Massive volumes of data are generated by supply chains – Big Data, to be more explicit. Prepare to participate in the creation of smarter, more strategic, and tactical global supply chains of the future by merging traditional supply chain methodologies with data-driven judgment.It is very evident that the demand for a certified supply chain analyst is increasing by the day. In such a situation, certification can give your career the right boost and help you bag your dream job in your desired company. Enrolling in this course can be a game-changer for you!

Autonomous Cyber AI A New Defense System in Cybersecurity!

Posted on October 26, 2021October 27, 2021 by Imarticus Learning

Artificial Intelligence (AI) is being used nowadays to enhance cybersecurity. Security tools embedded with AI analyze data from various cyber incidents/threats and use them to identify potential threats. Anomaly detection can also be automated with the use of AI in cybersecurity. Threat actors are conducting data breaches in firms with new tools and ways. There are numerous types of attacks evolving every day.

To tackle the evolving data breaches & to enhance cybersecurity, firms require a fully automated security system embedded with AI. Autonomous cyber AI is predicted to be a revolutionary asset with a lot of firms adopting it quickly. Let us see more details about autonomous cyber AI.

Autonomous Cyber AI

Autonomous cyber AI is a defense system that can handle the complexity & variety of cyber-attacks. It has automated security protocols and is activated at the time of any threat. It is believed that threat actors are using AI-driven attacks where the AI algorithm can manipulate any machine’s decision. To counter possible AI attacks & various other types of complex attacks, firms require secure algorithms and automated defense systems.

The data generated by firms is also huge and to manage this big data, we need AI to reduce human labor and increase accuracy. Cybersecurity experts also use other technologies with AI like machine learning, deep learning, etc. to create an autonomous cyber AI. Autonomous cyber AI is capable of identifying data outliers or anomalies which are hazardous for business data. Autonomous cyber AI immediately identifies any foreign element in the business data and takes measures to protect the system/data.

Humans cannot identify new attacks in time, which leads to data theft/breaches. It is expected that we can see machines fighting each other in the future because of the rise of AI-driven attacks. More than 3000 organizations/firms around the globe have already adopted autonomous cyber AI to tackle cyber-attacks. One can know more about AI by opting for an Artificial Intelligence Course from a trusted source like Imarticus Learning.

Benefits of AI Cybersecurity

The benefits of AI cybersecurity to firms/businesses are:

• Management of big data can be easily done with less human labor. Large volumes of data can be processed in less time.

• New security attacks can be identified by AI.

• Unknown/possible security threats can be known and fixed in time.

• 24*7 autonomous protection without any human intervention.

• It will help in cost optimization as it is a long-lasting solution for cybersecurity.

• Authentication system can be strengthened via AI where only a limited number of people are given access to security details.

• The response time after an attack is decreased as autonomous cyber AI acts quickly.

Conclusion

Cybersecurity is very necessary for firms to protect their data and digital ecosystem. AI is being used to develop smart algorithms that can control the movement of data. One should learn about autonomous cyber AI if he/she is looking to build a successful Artificial Intelligence Career as many companies are adopting it in recent times. Start your AI course now!

What job Can I Get With A Degree In Business Management?

Posted on October 26, 2021March 26, 2024 by Imarticus Learning

Introduction

The corporate structure has changed drastically in recent times. This has brought in the need for understanding the business better. Also, this has given rise to different job titles and functions and you have to be qualified enough to apply for these jobs. A business management degree would bring you in a position where you will be considered as an ideal candidate for the job.

What is business management?

Business Management refers to the act of managing all the functions and operations of the business to get productive results. People are entrusted with a different set of responsibilities and are held accountable for those activities. It also involves coordination with the other departments and also the delegation of responsibility.

Business Management is an integration of money, production of goods, machines, and innovation. Then the products manufactured are brought to the consumer with the help of sales and marketing functions.

Functions of Business Management

Business Managers are at the helm of affairs at any kind of organization. Therefore, they are obliged to perform several functions. Some of these functions are:

Planning includes both regular and strategic plans
Building hierarchy and proper organizational structure
Staffing
Directing
Taking control measures

Business Managers make use of different tools from the business management system to make decisions. A Business Management degree will give you a better insight into things that are important while managing or leading a business.

Jobs with a degree in business management

A degree in business management will open the gate for a plethora of opportunities. A business management degree will enable you to look for opportunities in different domains including finance, marketing, etc.

A degree in business management gives you a holistic approach to how things work in the business world. Some of the popular jobs in this field are:

Marketing Manager

The job of a marketing manager is to prepare a proper marketing strategy to bring the product and service offerings to potential customers.

With a degree in business management, you can apply for the position of marketing manager in different industries.

The job also includes identifying potential job markets for the organization.

Business Analyst

This job role is increasingly becoming popular in all kinds of organizations. Their job is data-oriented as they have to analyze huge sets of data to come to different conclusions.

These conclusions are then translated into business decisions. Data collection is also a part of the business analyst’s job.

Investment banker

Investment banking is one of the highest paying industries. With a business management degree and a specialization in finance, you can easily become an investment banker. Investment bankers manage financial securities. Also, they lead to different mergers and acquisitions deals. This role is quite challenging but is equally rewarding.

Sales Manager

Sales managers set goals in terms of revenues and the quantity sold. They strategize and formulate a way to achieve these goals. Also, sales managers contribute towards the preparation of budgets. They are equally involved in demand forecasting activities. Sales managers take care of different sales territories.

Account Manager

This role comes into the picture in an organization that deals with different clients regularly. Account managers represent the entire company in front of the client. They are responsible for building relationships with clients. Also, they act as the face of the organization as they become the pivot of the two-way interaction.

This is not an exhaustive list. People with a degree in business management have experience in different domains.

This enables them to try their hands in different departments, functions, and organizations. Both junior and senior level positions are available for these degree holders.

Why is IIT- Roorkee, Supply Chain Management Program the Best?

Posted on October 25, 2021March 26, 2024 by Imarticus Learning

A certified supply chain analyst has a very important role in every industry that involves the supply chain. A supply chain management career can guarantee you a high-salary job in various sectors. The IIT Supply Chain Program is the best and comes with some exclusive benefits. This 6-month supply chain management online course has been specially prepared by IIT faculty and industry professionals to assist you in learning.

With the ever-increasing trend of e-commerce, the number of products in transit has also increased. The number of supply chain management employees has increased disproportionately across industries. This training will prepare you to capitalize on this opportunity.

Why Pursue IIT Supply Chain Management Course?

The benefits of IIT certified supply chain analyst course are as follows:

Discover supply chain management knowledge and much-required analytical skills with this program built by IIT Roorkee’s DoMS & E-Learning Centre. This course will assist you to become more data-centric and improve supply chain selection by using the strength of Python.
This supply chain management online course will assist you to learn from one of India’s greatest faculties via live online sessions and conversations. IIT faculty workshops will help you construct essential concepts in SCM, while industry specialists will provide hands-on learning for SCM processes, tools, and strategies. This course will teach you how to construct a solid SCM foundation and use analytics through engaging live sessions with renowned trainers and industry professionals.
Participate in a three-day campus immersion session to tour the IIT Roorkee campus. During the campus immersion, you will connect with your peers and learn from IIT academics. You will get the opportunity to go to the Delhi or Noida campus and work on the Capstone Project with the help of expert mentors.
Tackle tough real-world challenges that necessitate a full understanding of principles, mastery of skills, and comprehension of the business context. With these real-world SCM projects, you can boost your resume and stand out. You will be able to create your own project portfolio and dazzle potential employers. Through rigorous in-class exercises and SCM projects, industry experts teach you crucial job-relevant skills.
Massive volumes of data are generated by supply chains – Big Data, to be more explicit. Prepare to participate in the creation of smarter, more strategic, and tactical global supply chains of the future by merging traditional supply chain methodologies with data-driven judgment.

It is very evident that the demand for a certified supply chain analyst is increasing by the day. In such a situation, certification can give your career the right boost and help you bag your dream job in your desired company. Enrolling in this course can be a game-changer for you!

Why is the AI course the best machine learning and artificial intelligence course by E&ICT Academy, IIT Guwahati?

Posted on October 25, 2021April 8, 2024 by Imarticus Learning

The most important question to any student these days would be what to study that will tremendously benefit his/her career, and where to study it from. Numerous courses are offered by several institutions, and choosing the best option for yourself in such a scenario can be very confusing. This is why we are here to shed light on possibly the most relevant course right now.

That is, of course, the artificial intelligence and machine learning course. It is one of the most versatile courses out there that lets you work in almost any field you want. That is because all the major sectors now need the help of artificial intelligence and machine learning to optimize their business and keep the customer and employee-friendly.

A lot of institutes in India provide AI ML courses. Imarticus Learning is one of the best in this field with its certificate course.

However, if we are to talk about the best institute to learn an artificial intelligence and machine learning course from, then it would undoubtedly be an IIT. Here, we are going to take a look at why an AI and ML course might be one of the most relevant courses out there that will benefit your career. And, why an AI and ML course from an IIT is the best.

Benefits of an AI and ML course

Data analytics basically uses numerous tools to extract and analyze data in a way that helps to detect patterns from past records. It also analyses where the company is now and predicts where it can go from here. All of it is done through analyzing market trends, the company’s financial condition as well as the customer’s online habits. The main benefits of this course are:

It is one of those jobs that is applicable in any given field, from the health sector to finance to marketing. This means that you can land your dream job from the get-go or if you feel like it, then you can even change your sector without much thought.
It is one of the highest-paying jobs in the country right now, which, of course, means a stable future.
Expert reports state that in the near future, there are going to be even more positions opening up in all corporate sectors.

Why IIT is the best choice

As we all know, IIT is an unparalleled choice when it comes to courses in any sector of business. There are a few reasons for that, such as:

It teaches you deep skills that are most popularly used in AI and ML.
The opportunity to learn from actual corporate cases, that too from the top-level industry professionals of AI and ML.
Overall excellent vocational training, as students experience hands-on learning with lab-based cases related to the most high-level industry problems.
Another thing that IITs are most known for is excellent industrial exposure.
The opportunity to learn AI and ML from any IIT will immediately put you leagues beyond your peers.
An excellent package right from the beginning in your preferred sector.

Conclusion
The opportunity to learn AI ML courses from an IIT is the best thing that can happen to your career. It is an academic investment that will be paying off throughout your life. So, prepare hard enough to give yourself that edge over others. Also, do check out Imarticus Learning’s AI and ML certificate course as we have one of the best-planned courses in this field.

Why problem-solving using Data Analytics needs new thinking?

Posted on October 21, 2021March 26, 2024 by Imarticus Learning

Data analytics helps organizations examine all sorts of data, be its real-time, historical, unstructured, structured, or qualitative data to uncover trends and develop insights that may be used to guide and, in some circumstances, automate decisions, thus connecting intelligence and action.

The best solutions now enable the entire analytical process, from data access, preparation, and analysis through analytics operationalization and evaluating results. Hence, there is a rise in data analytics courses in India.

Data analytics enables firms to digitally transform their company and culture, allowing them to make more innovative and forward-thinking decisions. Algorithm-driven firms are the emerging innovators and business leaders, going beyond typical KPI monitoring and reporting to uncover hidden patterns in data.

In the present scenario, many firms have had to adjust their emphasis, review their existing timeframes, and rethink how they function. Companies that prioritized the digitalization of their business, particularly investments in analytics and automation, have fared the best during this crisis. Nonetheless, AI continues to be a source of consternation for many business leaders across industries.

Why is data analytics used to solve business problems?

Businesses sometimes overlook the fact that the most complicated business issues can be solved using analytics by utilizing the most recent data analytics solutions. It is critical to understand that the analyst spends approximately 70% – 80% of his or her time generating analytical files.

Only the remaining 20-30% is spent on developing a solution. Predictive models or simple business rules are used in this approach to solution creation. A corporation can use analytics tools to extract simple structured data and reduce its effort in retrieving unstructured and semi-structured information.

The rising need for an analytical solution has compelled businesses to invest in analytics solutions that will allow business users and employees across the enterprise to get the answers they need. Businesses can use these powerful tools to perform complex analytics without the need for programming assistance from data scientists. As a result, businesses will gain a new competitive advantage and the ability to unearth previously undetected patterns, propelling them to a position of influence.

Today’s problem solving necessitates a new outlook in order to obtain these insights quickly and efficiently, and there is a need for a cohesive technological change to displace the conventional data analytics tools and dissolve the walls between business groups.

Technology behemoths have demonstrated what can be accomplished when data and analytics are at the core of a business model. Needless to mention, the world’s most successful firms are all data-driven, with their focus on leveraging data to understand, market to, and increase income from their customers. This cultural shift of democratization of access to data and analytics across an organization has allowed these organizations to capitalize on the data economy and drive digital transformation.

Analytic Process Automation, or APA, is a new category that could be the key to capturing the best of man and machine at scale. APA automates business processes and provides immediate self-service access to business-critical data insights to even the most inexperienced knowledge workers. In reality, this implies that more employees will be able to use as well as gain from data with hardly any training.

This, in turn, alleviates the long-standing friction between data specialists and business managers, the latter of whom has relied on the former’s access to critical information. APA de-emphasizes data analytics at a level that the business sector has never seen before.

Conclusion

Data Science as we all know is emerging as an extremely important profession in the present scenario and it is important to have a data analytics certification to be an expert in this field. There are good data analytics courses in India that provide data analytics certification and will also increase your career prospects if you wish to pursue it further.

How Long-Term Modelling of Our Future Energy System Can Be Mapped With Artificial Intelligence and Machine Learning?

Posted on October 20, 2021March 26, 2024 by Imarticus Learning

Today, technology and sustainability are the main axes of development. To secure the planet and continue the growth of industry, we are engaged in a global energy transition. Most countries have become aware that measures must be taken to address a problem that, if not curbed, will have catastrophic consequences for the environment and, of course, for human beings themselves.

However, such a transformation requires the support of technology and, because of the enormous amount of data, artificial intelligence and machine learning courses are the basis to ensure the advancement of the energy sector.

At Imarticus you can join the postgraduate program in data analytics & machine learning (AIML).

Technology as a tool

Changing the energy paradigm of the last century will be an arduous and complicated task. That is why new technologies have a lot to say as tools to facilitate evolution. The Internet of Things, machine learning, artificial intelligence, and Big Data will be key to making the processes of change as effective as possible. Massive data analysis must become a fundamental pillar for transforming how energy is generated, transmitted, and distributed.

Artificial Intelligence allows us to handle enormous quantities and analyze them logically and reasonably. About energy, in particular, we have data on meteorology, health, or the behavior of the people involved in the system: who generates electricity, who transports and distributes it, and who consumes it. Data that, when properly analyzed, can provide a tailor-made understanding of the sector.

The development and implementation of intelligent systems must not only facilitate the massive introduction of alternative energy sources but will also have the task of achieving rationalized storage of this energy, as well as providing greater flexibility for the demand, i.e. the people who use it.

Three levels of analytics can be applied: descriptive, to know what information is available and where to apply intelligence, predictive analytics, to anticipate production or demand, and prescriptive analytics. With the data, we work on predicting production, including renewable energies and demand, with the implementation of smart meters.

In addition, technical and non-technical incidents, such as energy fraud, are detected. All of this is aimed at optimizing the energy model, with the resulting economic and environmental benefits. We will see a huge take-off in the number of professionals who will choose to pursue a machine learning career.

Tools for the consumer

In this scenario, smart meters and internet-enabled sensors will be commonplace, which will improve our energy use while at the same time making it possible to bring costs in line with what each individual actually consumes. Thus, machine learning will automate processes, while artificial intelligence will make it possible for devices to work automatically and learn from consumers’ habits. This will also be possible on a large scale, so that the operation of future solar or wind power plants, to give just two examples, will be more effective in a shorter space of time.

In this respect, we should note that although everyone is involved in the energy transition and awareness must start in every household, the technology will be geared towards people having little to do in terms of reducing consumption and costs.

Artificial intelligence-based models and predictions facilitate and will continue to be a major advantage in mapping energy systems. What is most surprising is that this is just one of the many applications of these technologies. If you want to contribute to the change, you can sign up for AI and ML courses by E&ICT Academy, IIT Guwahati.

Category: Management