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Category: Management

3 Ways Big Data Can Influence Decision-Making for Organizations!

Posted on by Imarticus Learning

An enterprise or any organization collects a massive amount of data daily while performing its operations. This data can be in the form of customer information while making purchases, vouchers,s, and bills by manufacturers, viewership on the online portals, etc.

For an upward movement in the market, it is significant that this big data does not lie untreated in the systems of the company instead it should be worked upon and put to good use to increase the efficiency of the company.

To screen and filter the big data, data analysts are hired to convert that data into a useful piece of information. It may be likely to occur to you that how big data influences an organization’s functioning. There are some decisions that are largely based on big data.

Influence of Big Data on Decision Making of an Organization

In the following three ways, big data creates an impact on the decision-making and the overall performance of a company.

  1. Promotional enhancement through real-time data

Whenever you shop from a branded store, you start receiving emails about their offers which sometimes claim that some deals are exclusively for you. Do you ever wonder how they send personalized emails to every customer based on their interests and their shopping histories?

Big Data CareerThese all are some promotional activities which the companies do by making use of big data. Big data influences the decision-making of the promotional activities of a company.

By doing this, customers may feel informed through the brand and it is sometimes the biggest and the most important step towards creating customer loyalty and long-term relationships.

  1. Expanding Operations Without Spending Too Much

To initiate a promotional activity or a campaign to attract customers, some companies spend a hefty amount of money which may or may not turn out to be 100 percent successful. However, by making effective use of big data these expenses can be avoided. If you already know which customer tends to buy within a specific price range, personalized promotions through the internet become easy.

Big Data Career

Moreover, wasteful expenditure can be avoided to a great extent. Real-time data can prove to be beneficial in determining some major issues in a particular product or service.

Companies can appoint data analysts who can screen the real-time data and make necessary changes as and when required.

  1. Speeding the Action

Whenever a company launches any product in the market, it is always hard for the company to anticipate the response it may get. Supposedly, the customers have questions or certain queries about the product, taking some time to answer them might affect the overall image of the company as well as the product.

Big data helps to tackle this problem in real-time. Queries can be handled in seconds than wasting several minutes and replacements can be made in fewer days as compared to the time it used to take earlier. Big data has brought about a paradigm shift in decision making which has made customer dealing and answering queries a much simpler task.

Conclusion

With edge-to-edge competition in the market, it is significant for any organization that it makes effective use of big data in its favor.

Big Data Career

With the proper use of big data, companies can foresee and predict the future market for their products and services as well. The points mentioned above have presented a lucid picture of how important big data has become lately.

Big Data CareerA big data career can prove to be beneficial and is considered among the most demanded career options.

For big data training, you must check out the courses and professional assistance being offered by Imarticus learning.

How will a Supply Chain Management Certification transform your career?

Posted on by Imarticus Learning

How will a Supply Chain Management Certification transform your career?

Supply chain management is one of the most in-demand and rapidly growing fields today. If you’re looking forward to boosting your career in this field or just looking to expand your knowledge, a certification in supply chain management is a great option. But what are the benefits of getting a supply chain management certification? In this blog post, we’ll take a closer look at these questions and more. So keep reading to find out why getting certified in supply chain management is a smart move for your career!

What is supply chain management, and why should you take a course?

  • A supply chain is a process businesses use to get suppliers to customers.
  • The supply chain can contain multiple people and organizations, who may be customers or suppliers to each other.
  • Supply chain management is the process of planning, implementing, and managing these activities within a business to meet client requirements at the possible lowest cost for a compelling return on investment (ROI).
  • It always ensures that product or service quality meets customer and regulatory requirements.

The benefits of a supply chain management certification

Now that you understand what SCM means, here are some reasons it might be beneficial to take a course in supply chain management.

  • If you’re already working as a logistics or analyst manager, then taking this certification will give your career a huge boost forward.
  • It can give you the knowledge and skills you need to manage your company’s supply chain more effectively.
  • It can help you build your career by giving you the credentials you need to move up in your organization.
  • SCM certification can give you an edge over other candidates who do not have any formal training in this area.
  • You will be able to understand the complexities of the supply chain and how different elements work together to create a smooth process for getting products from suppliers to customers.
  • It can help you troubleshoot any potential problems during manufacturing or distribution.
  • Lastly, taking a course in supply chain management can help you stay current with the latest trends and developments in this field.

It is essential, as the supply chain landscape is constantly changing, and those who can keep up will be more successful in the long run. Hence, if you’re looking for a way to take your career to the next level, a supply chain management certification is something worth considering.

Explore More and Make a Career with Imarticus Learning

The Professional Supply Chain Management Certification is in partnership with DoMS and E-learning Centre, IIT Roorkee, and industry professionals to equip candidates interested in entering the operations and supply chain business with a cutting-edge experience.

The Supply Chain Management course allows professionals to make data-driven strategic, operational, and tactical choices. There is a scarcity of experts with process and analytical skills in the Supply Chain Management area. This Logistics and supply chain management course prepares students for jobs such as Demand Planner, Data Scientist, Supply Planner, and Supply and Operations Planner, which are in great demand.

 

Some course USP:

  • This best Logistics and supply chain management course is for students with placement assurance to aid the students in learning job-relevant skills.
  • Impress employers & showcase skills with a certification recognized by India’s prestigious academic collaborations.
  • World-Class Academic Professors to learn from discussions and live online sessions.

Contact us through the chat support system or visit Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, training centers.

Steps to create a dashboard in Tableau

Posted on by Imarticus Learning

If you are having trouble with the excel sheets and finding it hard to create complex formulas to deal with the data, the Data Visualisation tools such as Tableau are here for the rescue! It can help use unmanageable data into beautifully crafted interactive dashboards. Those who have Tableau certification are hot properties in the Data Analysis and Data Science fields. 

Tableau is easy to use, works faster, and is also easy to set up. The tool is available in both paid and free versions. Knowing how to operate this will be an added advantage while doing any Artificial Intelligence and Machine Learning course. 

Getting this software and creating a dashboard is required to get a simplified version of the raw data that you are dealing with. SO, here are the steps to create a dashboard in tableau. 

Step #1 Creating a dashboard

Download and install the Tableau software to start the process. Once it is set up, open it and click on the ‘New Dashboard’ button to create a fresh one. Give an appropriate name to this dashboard so that it is easy to identify.

Step #2 Adding sheets to the board

The next step is to bring in the excel sheets with the data that you need to work on. Drag the required sheet onto the dashboard space. Alternatively, you can also select the most relevant data from a sheet, instead of the whole sheet. 

Step #3 Add additional sheet(s)

Tableau dashboard allows adding as many sheets as required for the data analysis. The additional sheets may be added in the relevant space and can process the data on all or selected sheets, as required.  

Step #4 Customization

The next step is where you customize or filter the data as per the requirement to create an interactive dashboard. Choosing layouts, adding images or texts, navigation to move from one data to another set, etc can be done at this stage. 

Step #5 View and share the data

Once all the customization is complete, view the data in full-screen mode and see if any changes are needed. Once satisfied, you can share the dashboard with others for review and discussion. 

Why is Tableau important?

Tableau is a data simplifying tool that helps manage a vast data resource. It can easily blend with AI to make faster and smarter decisions regarding the data. It also assists in integrating the data to work directly with various models of Machine Learning. Having a Tableau certification will be an asset, especially one pursuing an IIT Artificial Intelligence course or an Artificial Intelligence and Machine Learning course. Integrating the results of data interpretation decisions made using AI and ML into visualized data using Tableau helps people understand it better. 

best artificial intelligence courses by E&ICT Academy, IIT GuwahatiTableau opens a way for qualifying and quantifying the data while also identifying any particular pattern with the missing data. It is one of the robust tools that is required while implementing the machine learning models or solutions so that the business side can also understand and visualize the analysis or predictions. 

Conclusion

While the top-rated Artificial Intelligence course by E&ICT Academy, IIT Guwahati can develop a qualified and faster data analyst, the Tableau tool helps them be smarter. The drag and drop spaces on the Tableau dashboard allow you to investigate and relate the data with the intended outcome. It can work with multiple external data resources, not just the excel sheets. In other words, a single dashboard can combine data from various sources. Here, the visualization is possible with the help of charts, graphs, maps, tables, and some advanced methods.   

best Artificial Intelligence courses by E&ICT Academy, IIT Guwahati

How to Excel in Data Science?

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Data science has been growing and has infiltrated everyday life, even if sometimes we are not aware of it. To excel in this discipline that is becoming so popular there are several things you can do, and you should know that the first of these is not necessarily to learn data science although it is of course on the list. It is very common that when you go to a website you will be recommended products that might also be of interest to you. 

Or when you search about something, the search engine completes the sentence for you or makes a suggestion. All this is driven by data science, but do you know what data science is? Do you understand what it means? Do you know where data science is applied? Understanding this is the first step to becoming an excellent data scientist followed of course by a good data science certification course. 

What Is Data Science?

Data science is first and foremost the discipline of making data useful. Above all data science has become a new approach to problem-solving and strategizing. Although the computing power of today’s computers and data centers is an element without which Data Science would not have much scope, we are dealing with a discipline where other areas of knowledge converge that cannot always be clearly defined.

Several subfields include mining large amounts of information, making decisions based on limited information, and using patterns to automate tasks. Each subfield encompasses a science or technology, and it is important to understand the differences, 

 

  • Analytics

 

Analytics allows for the analysis of all types of data in real-time, historical, unstructured, etc. Above all, it is the process of examining data sets to find trends, hidden patterns, correlations, and conclude the information extracted. It is now possible to analyze data and get answers almost immediately, which is not possible with traditional solutions.

 

  • Statistics

 

Statistics is mainly concerned with putting data in order and analyzing it to obtain predictions and forecasts about specific phenomena. It is made up of methods, procedures, and formulas that enable relevant conclusions to be drawn. Its main objective is to improve the understanding of information. 

 

  • Artificial Intelligence

 

Thanks to machine learning, artificial intelligence can process massive amounts of data, which we as humans could never do. It also refines models through algorithms and predictive analytics, allowing machines to perform activities that we can consider intelligent on their own.

In short, data science employs a variety of technologies and methods to process and analyze data. The important thing to become excellent at data science is to find a good data science certification course. By finding a course that fully exploits your capabilities and develops your skills you can become an excellent data scientist.

Why Study Data Science?

If you learn data science you will make you part of the changing world. You will develop skills in computer science, programming, statistics and learn how to analyze and use the information to solve problems and develop strategies. There are many sources of learning but not all of them will suit your needs and those of the market. Our data science courses are designed by industry experts so you will learn real-world applications to generate useful solutions.  

The program Post Graduate Program In Data Analytics & Machine Learning is designed for those looking to build their career in data science especially for recent graduates and early career professionals. The Data Science courses will go a long way to ensuring that you become an architect of your future. Seeing the increasing demand for the application of this discipline, it is logical to expect an increase in the demand for data science professionals.

Learn about the various perceptions and misconceptions surrounding cyber security

Posted on by Imarticus Learning

For a subject that has such a significant impact on the day-to-day activities of companies and particulars, the field of cyber security happens to be surrounded by a series of misconceptions that might cause an overall loss of interest from both, general and knowledgeable audiences. Not only this is prejudicial because it could affect their performance in a negative fashion, but also because these wrong perceptions put them at risk from different perspectives.

Have you ever found yourself in the middle of a discussion about a trending subject where you notice that you are basically repeating ideas and statements that you have read online as your own? Maybe you found these in an opinion article, perhaps you saw a few comments about a controversial post and learned them by heart, but never stopped to properly digest the information and generate your own point of view?

This situation is most common than you would think, and it is precisely this kind of interaction, where the participants might or not be aware of their lack of knowledge, and they speak and state about a theme they do not know much about, using someone else’s words, and eventually convincing themselves it is a topic they know and understand, where misconceptions come from. Sometimes it is more dangerous to know a little part of the story but believe you know it all than knowing nothing but being aware of it.

However, this situation is easy to remediate with little time spent in research and analysis. Keep reading if you think cyber security might be one of these blurry, grey areas to you.

Main misconceptions and other perceptions about cyber security

  1. Only big companies are exposed to cyber threats: Cyberattacks target companies not only based on their size or revenue but also on other numerous factors of interest to them. This means that these kinds of incidents are unpredictable and should therefore be included within the risk analysis of the company, as their consequences could be detrimental to basically any firm.

  2. There is one magic solution to cyberattacks: The agents that represent a cyber threat evolve over time, learning from previous attacks, improving their methods, introducing new technologies, and doing more accurate studies of their targets. The solution to prevent these cyber-incidents cannot be a one-time thing, as it becomes more obsolete every day. Instead, it must evolve and adapt to the new threats in order to increase its ability to identify and neutralize them.

  3. All hackers represent danger: Hackers that practice ethical hacking legitimately attacks systems aiming to identify the weak spots that actual threat agents could take advantage of and use what they find to remediate the vulnerabilities of the structure/system.

  4. Risk assessments deliver full visibility to hazards: Audits are useful to identify potential threats, nonetheless, your resilience should be evaluated taking the context into account, as every individual/company’s response is affected by their particular susceptibility to risks based on their nature and characteristics.

What can I do to be better prepared in case of a cyber security breach?

The unpredictability of cyberattacks is one of the characteristics that make them so dangerous, nevertheless, being prepared with an optimal cyber security system can help you prevent menaces that would otherwise be extremely harmful to your company.

Knowing your weaknesses allows you to correct them, and an excellent way of improving your ability to identify said vulnerabilities is by taking ethical hacking and cyber security courses, as they focus on teaching you how to recognize your potential cyber security breaches and finally remediate them.

How to become a data scientist by optimizing your career

Posted on by Imarticus Learning

In 2021, many businesses have transformed themselves digitally. Businesses are interacting with customers on digital channels. The digital channels are also helping businesses to provide services round-the-clock to customers. Business organizations have never cared about their IT infrastructure more than now. With accelerating digital transformation, the amount of data produced by business organizations is also increasing.

There is a need for skilled data scientists in the industry that can perform high-end data analysis and extract insights. It is why many young aspirants want to learn data science and secure their careers. Read on to the best way to learn data science and secure your career. 

Roles of data scientists in 2021

Before you go on a job hunt in the industry, you should know about the roles of a data scientist. Some of the tasks performed by a data scientist in 2021 are as follows:

  • Data scientists must collect data from various sources to perform analysis. In starting, data scientists collect unstructured data that makes no sense. However, the unstructured data contains many meaningful insights that will be uncovered after analysis.
  • Once data is collected from different sources, it needs to be cleaned and classified. Redundant data points or outliers need to be removed for high-end data analysis. At present, data scientists use many analytics platforms for faster data cleaning and classification.
  • A data scientist also performs exploratory data analysis to identify the main characteristics of a data set. Via exploratory data analysis, data sources are manipulated to get the answers needed.
  • Data scientists are also involved in developing better analytics models. Analytics models run on algorithms are performing data analysis without any manual support. Data scientists also use new-age technologies to develop better analytics models.
  • Data scientists often collaborate with other IT teams to find loopholes in the IT infrastructure. With analytics results, data scientists try to implement methods that could drive business performance.
  • Data scientists also make data accessible for everyone in a business organization. They represent complex data via several visualization techniques. It makes data easier to understand by every employee of a business organization.
  • Business organizations rely on data scientists to find trends and patterns among data sets. Those patterns are then used to prepare market forecasts and demand forecasts.

Skillset required for becoming a data scientist in 2021

A data science online course can help you in acquiring the competencies required by a data scientist. The skills required by data scientists in 2021 are listed below:

  • Data scientists need to be fluent in coding languages like Python, Java, SQL, and MATLAB. A reliable data science online course can help learn the coding languages used by data scientists.
  • Data scientists need to have a sense of the current business landscape in which they are working. Many firms spend funds on data science training with business in focus for their employees.
  • Analytical and data visualization skills are necessary for a data scientist. Young aspirants can undergo data science training to learn data mining, munging, visualization, and reporting.

Which is the best course to learn the skills needed by a data scientist?

Imarticus provides the best data science certification courses for young aspirants. It also offers a PG Program in Data Analytics & ML for working data scientists. Its Data Science Prodegree is also popular among aspirants in India. 

All the data science courses offered by Imarticus Learning follow an industry-endorsed curriculum. The industry-oriented curriculum focuses on teaching industry practices to job seekers. By learning techniques and practices used by data scientists, you will be job-ready. Start your data science certification course to become a successful data scientist!

How big data analytics is used in social media

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Almost all of us are familiar with social media in 2021. There are many social media platforms run by different companies in the world. Not to forget, the large number of social media users that have been added in recent years. With the rise of social media, the amount of data produced by different platforms is unmatchable. The likes, shares, and comments across social media platforms contain information regarding user behavior.

It is why business organizations are using big data analytics to make the best use of the data available on social media platforms. Big data analytics is widely used in social media to shape marketing strategies and much more. Read on to know seven ways how big data analytics is used in social media.

  • Omnichannel presence

Many business applications and websites have a social media integration. Customers can log in to a business application using their social media credentials. It helps businesses to collect customer data from social media platforms and use them to provide better services. You can get access to social media posts, browser history, and much more. Since customers have an omnichannel presence, you can collect data from all sources to know more about the preferences of customers.

  • Real-time activity monitoring

Social media is a place where you immediately get to know when someone has liked a post or shared a product link. Businesses monitor the activity of customers on social media to know about their current mood. If a social media user is liking your product posts, you can show them an email quickly to convert them into a customer. No other platform can inform customer preferences in real-time other than social media. Big data is used extensively to collect real-time activity reports on social media.

  • Forecasting

When big data is mixed with modern-day technologies like ML and AI, it can predict customer preferences. Based on customer habits on social media, AI/ML algorithms predict their demands. Businesses then focus on releasing new products/services as per the future demands. For example, when a customer buys something online, the chances of them buying similar products increase.

  • Security

Data vendors cannot illegally transfer customer data to the wrong hands. When customers share data on social media, that data can only be used for business purposes. Your social media data cannot be placed in the wrong hands by business organizations. Big data is used for enhancing the security of social media platforms based on customer suggestions.

 

  • Campaign monitoring

 

Marketers run social media campaigns to boost their ROI (Return on Investment). Using big data, marketers can know how well a social media campaign has performed. Young aspirants can go for big data training to know more about how to run social media campaigns and study high-end analytics.

 

  • Product pricing

 

When a firm launches its product on social media, customers give their valuable opinions. Social media is widely used to determine whether customers are satisfied with the pricing of a product or not. Big data training includes data collection from social media channels and how to analyze them.

 

  • Ad creation

 

Social media is used to collect info about customer preferences. Based on that info, targeted, and personalized advertisements are displayed on social media channels. Technologies like Hadoop programming and Python programming are also used by big data analysts in social media.

Young aspirants can go for the big data analytics programs launched by Imarticus Learning. Its PG Program in ML and Data Analytics can help working professionals in getting a raise. Start your big data course and learn Python and Hadoop programming!

How supply chain snags affect global economic growth

Posted on by Imarticus Learning

The global economy depends on supply chains that have networks running across continents. This is why any issue with the supply chain can directly affect economic growth. If you learn SCM, you will notice that most of the time, supply chain snags occur due to issues with the management. Now, you can ensure that they have a positive impact on economic growth. To do this, you will have to opt for a supply chain management course. 

How Can Supply Chain Snags Affect the Global Economy?

Since supply chains are vital for most businesses, any management issue can harm economic growth. Those who opt for a supply chain management career need to be aware of the snags that can affect the global economy. 

  • Fluctuations in Customer Demand

Supply chains often depend on the demands of the customers. But due to various external factors, these demands can fall. When this happens, excess products go to waste. However, at times, customer demands can increase rapidly. If supply chains are not optimized enough to handle such a spike, there will be utter chaos. This can lead to limited products, improper pricing, and issues with the delivery of goods. If global supply chains are unable to meet demands, the economy is bound to suffer. 

  • Shortage of Workforce

While you can optimize several aspects of the supply chain, a human workforce is necessary. A shortage of workforce means less production or a slow-moving supply chain. If the supply chain gets held up due to inevitable glitches, many might quit due to extended periods of no work. When the supply chain starts working again, there will be an inadequate workforce to handle the pressure. This snag can adversely affect economic growth, particularly when production slows down or the delivery of goods stops. 

 

  • Increase of Freight Rates

 

Since supply chains are closely related to the global economy, snags may increase freight charges. If shipping routes, particularly for global supply chains, are disrupted, the freight rates will increase rapidly. When businesses cannot pay the costs, that particular link in the supply chain will stop functioning.  

  • A Slowdown of Industrial Activity

A snag in a supply chain can slow down activity in an entire industry. If one part of the supply chain does not move forward, the rest cannot follow. The economy will suffer as vast quantities of raw material go to waste, and the labour force reduces due to certain issues with managing a specific supply chain. 

  • Bottlenecks in Manufacturing and Production

Supply chain bottlenecks can occur anytime, primarily if the supply chain is not being appropriately managed. If there is a supply bottleneck, then manufacturing will be affected. While this affects the availability of products, it can also affect the earnings of those involved in the production stages. 

To understand how an aspect of the global economy is dependent on supply chains, you need to gain extensive knowledge. Learning supply chain planning can help you build the required skills. 

Supply Chain Management for Sustained Economic Growth

Supply chains, when appropriately managed, can contribute to economic growth and even maintain it. To learn about sustainable supply chains, you can opt for a supply chain management course. Imarticus Learning offers Professional Certification in Supply Chain Management and Analytics. This program is in collaboration with IIT Roorkee, DoMs, and E-Learning Centre.

The institute also has various industry experts collaborating to create a well-rounded curriculum. Imarticus Learning ensures that students can understand supply chain management from a strategic and operational viewpoint. This will help you establish a rewarding supply chain management career. 

The course offered by Imarticus Learning includes supply chain planning and prepares you for the industry through six projects. These are all based on real situations, and you can develop the experience necessary to become a successful supply chain manager. You can also opt for a job in data science, demand planning, or supply and operations planning. 

Why Python for Data Science is Easy to Learn for Beginners?

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Why Python for Data Science is Easy to Learn for Beginners?

Python is one of the most popular programming languages for data science. Python offers many advantages that make it easy for beginners, including its user-friendly syntax and powerful libraries. In this blog post, we’ll explore why Python is an excellent choice if you’re new to data science and want a language that’s both fun and effective for getting started.

Why is it easy to learn Python?

  1. Python’s Simple, Clear Syntax

If you’re new to programming or coming from a different language, learning how to code in Python can be straightforward. It has a clear syntax that is often more readable than other programming languages, making it easy to understand. Moreover, Python does not have any mandatory declarations or keywords, which means it doesn’t require a lot of boilerplate.

  1. Python’s Powerful Libraries for Data Science

Python has several libraries for data science, including NumPy, Pandas, and Scikit-Learn. These libraries make it easy to work with datasets, do scientific calculations, and build machine learning models. In addition to these libraries, Python has an extensive collection of modules for specific purposes. Many data science projects are built with libraries included in the standard distribution of Python, making it even easier to work with them.

  1. Community Support for Data Science in Python

The vast majority of courses on data science use Python as the teaching language. It means that if you’re new to data science, there are more resources available for learning python than for other languages.

Though many beginners find it easy to learn Python programming basics, data science often requires a deeper understanding of Python’s application in practice. For example, you need to know which algorithm will work best for the problem at hand with machine learning projects. Python has an active community of users who continually contribute to its success by contributing to open source projects and data science-related blog posts.

Is it possible to learn python training for beginners?

Absolutely! While working in Python requires more effort than in other languages, many online resources help you get started with data science in Python.

There are also plenty of books, courses, and tutorials available that will guide you through topics such as machine learning algorithms, visualization tools, and statistical concepts. As you can see, there are lots of reasons why Python is an excellent choice for beginners.

Learn Data Science with Imarticus Learning

A postgraduate program is for corporate experts to help students master real-world Data Science applications from the ground up and construct strong models to provide business insights and forecasts. The program is for graduates and early-career professionals (0-5 years) who want to grow their careers in Data Science, the most in-demand job skill. With this program’s job assurance guarantee, students may take a significant step forward in their careers.

Some course USP:

  • This Data science courses with placement assurance aid the students to learn job-relevant skills that prepare them for an exciting 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 360-degree practical learning implementation with assignments.

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

How long term modeling of our future energy system can be mapped with artificial intelligence and machine learning

Posted on 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 optimising 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.

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