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Will RPA kill Jobs in 2024?

SMEC labs
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Will RPA kill Jobs in 2024?

What is RPA, and will RPA kill Jobs?

Robotic Process Automation, the major question that arises is whether will RPA kill jobs. RPA is not like a Humanoid robot doing all the tasks as seen in the movies!

Robotic, can be described as a program that imitates human actions. A Process is a workflow or sequence of steps that lead to an activity or a function.

Automation is any process that is done by a robot without human intervention.  It’s a tool or software robot that does the task without human intervention. You may wonder when you log in to a portal, there is a question like Are you a robot.

On some websites, they ask to type some words or numbers inside a box or image names as CAPTCHA (Completely Automated Public Turing test to tell Computers and humans apart). It is implemented to block spammers and software bots that are trying to automatically create email accounts, sign up automatically, access databases, etc. The main objective of CAPTCHA is to make sure the resource is accessed by the human, not a bot. The updation of CAPTCHA, and reCAPTCHA ensures more security for bots. This test is almost impossible to solve by software robots.

It’s about automating the manual jobs as repetitive tasks based on a pattern like combining spreadsheet documents from different sources into a single one, scrapping (collecting) data from online resources, bank tellers, etc.

As part of industrial automation, many laborers were replaced by machines. The same issues arrived in history before when the computer was introduced. Introducing technology doesn’t make people jobless. It creates new opportunities and time to skill up.

How does an RPA work?

Will RPA kill Jobs
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The RPA tools can imitate the user’s actions, especially repetitive tasks. We have to set the steps or workflow using the RPA tool. Once the pattern is created, it will work continuously without any mistakes till the project is canceled.

The tools like Blue Prism, Ui Path, Automation Anywhere, etc are used by many companies as well as developers. Some of these tools have free or trial versions. We can learn the basics and implement them.

What are the applications of RPA?

Will RPA kill Jobs
Will RPA kill Jobs in 2024? 5
  • Data Entry
  • Report Generation
  • Data Extraction
  • Invoice Processing
  • E-Mail Automation

What will be the future of RPA?

According to Forrester, the RPA industry will grow from 250 million Dollars in 2016 to 2.9 billion Dollars in 2021. The requirement for RPA increased rapidly and this created a shortage of developers. This creates opportunities in this technology. Using RPA tools we can replace clerical jobs and lead to an increase in speed and accuracy. This helps to cut expenses and save time for firms.

Many firms already implemented the RPA to work in their business. Investments in this technology have drastically increased. During the pandemic time 2020-2021, the requirement for RPA has increased. One of the applications of RPA is for automating the clinical testing for a vaccine and documentation, which is a repetitive task. It becomes easy by using the RPA tool.

What are the Job Opportunities in RPA?

RPA offers job opportunities to candidates in some well-established companies even NASA. The private industries, automobile sector, Health care, Manufacturing industries, Telecom, IT, etc.

JOB ROLES

  • RPA Developer
  • RPA Engineer
  • RPA Technical Lead
  • RPA Administrator
  • RPA Business Analyst and more!

The new technology doesn’t make humans jobless. Remember the saying of Charles Darwin that “It is not the strongest of the species that survives, nor the most intelligent but the one most responsive to change”. So, skill up and get on track!

anoop
Author: Anoop Jayaram
Department: Embedded Systems
Linkedin: https://www.linkedin.com/in/anoopjayaram97/

What is Data science?

Datascience Expert
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What is Data science?

Introduction to Data Science

Data science is not just about building complex models. It’s not about making awesome visualizations. It is not about writing code. Data science is the use of data to make as much impact as possible on the efficient operation of your company. Now, the impact can be in the form of multiple things. It could be in the form of insights or in the form of product recommendations for a company. Now to do these things, you need tools like making complicated models or data visualizations or writing code. But essentially as a data scientist, your job is to solve real company problems using data and they don’t care what kind of tools you use.

There are a lot of misconceptions about data science right now. So because of that, I want to make things clear. Mainly companies really emphasize using data to improve their products and services. Before data science, we popularized the term data mining in an article called From data mining to knowledge discovery in the database in 1996 which referred to the overall process of discovering useful information from data. In the digital world, the emergence of Internet-based data has made it impossible to keep up with the traditional database environment. That’s a lot of data so much data, it became too much to handle using traditional technologies.

Data Science Career

So we call this big data. Simply data science almost involves everything that has something to do with data. That means collecting, analyzing, and modeling. But it also meant that the simplest questions require sophisticated data in fracture just to support the handling of the data 2010 sparked the rise of data science to support the needs of the businesses to draw insight from their massive unstructured datasets. Yet the most important part is its applications. Yes, all sorts of applications like machine learning.

This made it possible to practice with an approach similar to machine learning in almost all types of data-based applications. All the theoretical papers about recurring neural networks support vector machines become feasible. All the theoretical papers about recurring neural networks support vector machines become feasible. Something that can change the way we live and how we experience things in the world. Today, deep learning is no longer an academic concept. It becomes a tangible useful class of machine learning that affects our everyday lives.

So machine learning and AI dominated the media overshadowing every other aspect of data science. There is misalignment there, most of the data scientists can probably work on more technical problems. but big companies like Google Facebook Netflix have so many low-hanging fruits to improve their products that they don’t require any advanced machine learning or statistical knowledge to find these impacts in their analysis. Being a good data scientist is not about how advanced your models are. It’s about how much impact you can have with your work. You are not a data cruncher you are a problem solver. You’re strategists. Actually, one of the most important things for companies is because you’re trying to tell the company, what to do with your product.  Companies will give you the most ambiguous and hard problems and they expect you to guide the company in the right direction.

Let’s take a look at the best prospects when it comes to comparing data science and software engineering. The biggest difference is that data scientists all over the world are getting better salaries than software engineers. Data scientists have far more freedom to explore than software engineers. Simply put, they are the ones who explore the unknown. It is a great advantage that it can be used everywhere Data is everywhere. So there is data science everywhere. Data Science expertise can be applied in various fields. For example in finance, the biotech industry, internet-based companies, social media, food delivery apps, transportation, banking, stock market, e-commerce…, Data scientists generally do not feel bored because they are always doing new things. At the same time, the situation prepares us to learn new technologies.

Data science
Data Science Technology for Business Finance Analytic Concept – SMEClabs

Now we are going to discuss three important terms. They are artificial intelligence, machine learning, and deep learning to understand how they relate to the field of data science. The first one is Artificial Intelligence. AI is any code technique or algorithm, that enables machine learning to develop and demonstrate human behavior? We are in what many refer to as the era of weak AI the technology is still in its infancy and is expected to make machines capable of doing anything and everything the era of strong AI to transition from weak AI to strong machines, needs to learn the ways of humans. The techniques and processes that help machines in this broadly categorized under machine learning machines learn in predominantly two ways their learning is either supervised or unsupervised.

In supervised learning machines learn to predict outcomes with help from data scientists in unsupervised learning machines learn to predict outcomes on the go by recognizing patterns in input data when machines can draw meaningful inferences from large volumes of datasets they demonstrate the ability to learn deeply, deep learning requires artificial neural networks pay and ends which are like the biological neural networks in humans. These networks contain nodes in different layers that are connected and communicate with each other to make sense of voluminous input data. Deep learning is a subset of machine learning which in turn is a subset of artificial intelligence.

The three technologies help scientists and analysts interpret tons of data. We’re gonna be talking about how to get a data science job at you know a large company. So let’s get to the five tips on how to plan a data science job. Do an internship and have a technical degree. if you don’t have experience, then you need an internship. A degree is good It can be computer science, software engineering, economics, statistics, maths, system engineering, management engineering, and other engineering branches.

Learn SQL no matter where it is you are always gonna have to write a sequel because you have to get the data somehow no matter usually most companies set up their fracture so that you query data using sequel why because it is an easy language and even analysts or business intelligence people they use sequel.

Learn about success metrics and tracking metrics they are very important. Learn, python, Tableau Excel, or whatever to manipulate visualize, and interpret data visualizations, so use any of these technologies to show your results to interpret them. You have to learn to communicate really well because the whole point of a data scientist is to communicate their findings. you’re gonna be talking to a lot of people so a lot of cross-functional partners.

Technical interviews, The technical interview, is basically just SQL, python coding, and math interview. The math interview is sometimes they call it the quantitative interview, just asks you some simple probability questions or some simple descriptive and statistics questions

Product interview: In this, interview they will ask you a hypothetical question, regarding a product, and how you improve it.

Ref: Best Data Science Institute in Kochi

baiju
Author : Baiju Sivaraman
Department: Data Science
Linkedin :

What is the Internet of Behaviour?

Automation Engineer
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739
What is the Internet of Behaviour?

Introduction to the Internet of Behaviour

Many of us have heard about the Internet of Things (IoT), But what about the Internet of Behaviour, many things are going on in this technological world like AI, Cloud computing, Automation etc…The advancement in our computer technology has changed from sending bytes, KBs, MB’s and going beyond Terabytes and these are transferred around the globe within minutes.

So almost everything can be found on the internet. Are we safe in this kind of world, what about our data found on the internet, what about our bank passwords, what about sensitive information, what about social media account passwords, what about personal files? are they safe? We can say it is not.

So, getting into the Internet is getting riskier than older days. I would say that the ecosystem or the digital world is monitoring our behaviours. Can you guys believe that, yes definitely! Consider we have an app that monitors our health or a smartwatch which monitors our health habits, they can use this data to analyse our behaviour, when we will sleep; when we wake up; and what’s our health condition.

So, these data are analysed and will give us instructions to be a healthy person by giving several instructions, even if we sit for a long time the smartwatch will indicate that we have been sitting for a long time, have a break, here our behaviour is monitored and according to that, they will provide information from the internet or a preprogrammed system. This data collection gives information about the interests, preferences and behaviour of a person and this can be said for the Internet of Behaviour (IoB).

Internet of behaviour
Internet of Behaviour

The IoB tries to understand the behaviour of a person from the data obtained through online activity. IoB analyses, captures, understands and responds to human behaviour which allows for new technological innovations and developments in Machine learning algorithms. The IoB is a combination of Technology, Data analytics and behavioural science. It is also a data mining process; these can be utilized for good and bad. In this pandemic situation India has developed an app called Aarogyasethu which helps in social distancing by utilizing the data that we have provided. But in other cases, cybercriminals can get access to these sensitive data and reveal the identity of persons or scamming people with the same information will be catastrophic.

If we have an IoT system then data and information are obtained using IoT and the IoB tries to convert that information into knowledge; this information can be utilized in machine learning systems. On the positive side, the IoB can be useful with proper cyber security measures to protect the sensitive data of an individual.

It may be considered that by 2030, more than 50% of the world’s population will be exposed to IoB either by a government or private company. By utilizing the information that we provide to this ecosystem, we will give us personalized advertisements, and a company can bring up new campaigns, and different marketing strategies. We cannot completely be away from this, it will continue to expand as we give permissions to collect data. So, beware of the information that we share in this digital world.

IIoT Engineer SMEClabs_ Schneider
Author : Prahil S Kumar
Department : Industrial Automation
Linkedin : https://www.linkedin.com/in/prahilskumar/

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Top 5 Reasons Why Corporate Training is Essential for Your Business Growth

Datascience Expert
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Top 5 Reasons Why Corporate Training is Essential for Your Business Growth

Many Employers fear that providing comprehensive corporate training to their employees will impel them to seek greener pastures. However, in reality, they are actually making their own company a greener pasture. Every business focuses on growth and development as part of their business strategy. An organization ultimately succeeds when its employees come together to accomplish the common organizational objectives. Hence, it would be right to state that employees are the backbone of an organization. Since they are the driving force for your business, ensuring that they perform well and remain in their best form is vital for your business growth. This is where corporate training comes into play.

The famous Benjamin Franklin once said, “An investment in knowledge pays the best interest.” He certainly got it spot on! Investing in corporate training programs for developing and growing your employee skills certainly has its perks.

While speaking about Employee Corporate Training, the main concern that arises in the minds of senior management is this – “What if we train an employee and they decide to leave? After all the time, money, and effort spent on them, wouldn’t it be a waste? Then why train them at all?”


Well, the above thought definitely makes sense, especially when you are investing your valuable organizational resources in developing someone else’s skills. But, have you ever thought the other way around? – “What if we don’t train our employees and they decide to stay? With all the time, money, and effort that could have been invested in developing their employability skills, wouldn’t it be a loss? Then why not train them at all in the first place?”

Richard Branson – founder of Virgin Atlantic, quoted a profound statement in one of his speeches in 2014 that needs to act as the driving force for any employer. He said, “Train people well enough so they can leave. Treat them well enough, so they don’t want to.”

“Train people well enough so they can leave. Treat them well enough, so they don’t want to.” – Richard Branson (Founder, Virgin Atlantic)

Training your employees well enough and keeping them suitably engaged through challenging work will keep them occupied with a healthy state of mind. Organizations need to realize that corporate training is not optional, but an essential act that would strengthen the knowledge, qualifications, skills, and understandings of the employees, thereby improving the professionalism of the staff.

The top five reasons why Corporate Training is essential for your business growth are as follows:

Corporate Training Provides a Competitive Advantage Over Competitors

Competition for market dominance is ever-increasing with the advancements in technology, and so is the talent competition. Through corporate training programs, the employees in an organization are trained with the required skills to handle their respective job roles more effectively. Having received the necessary skill development training, the employees can perform better, thereby providing more quality output resulting in increased efficiency. Developing the employees’ skills in turn creates a competitive edge for the organization over its rivals in the market.


Corporate Training

Corporate Training Increases Employee Loyalty

Employee loyalty is indispensable for the success of any organization. Through corporate training, employees feel valued and appreciated when their organization invests in their development training programs. Moreover, this builds up employee loyalty which is ultimately reflected in their work.

Loyal employees are more likely to stay in the company and work sincerely for the organizational goals. Additionally, they require less supervision and motivation to get their jobs done. Shockingly, a recent survey by LinkedIn found that although 72% of professionals are satisfied with their jobs, a staggering 82% of them were open to new opportunities. With corporate training, the odds in this regard can be brought in favor of the organization. A survey conducted by PwC (PricewaterhouseCoopers) found that 35% of the Millennials favored an organization that provides excellent training/development programs.

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Corporate Training Helps in Building the Company Talent Pool

Whenever an organization invests in corporate training programs, they are in turn elevating their company standards. The higher the company standards, the better the scope for attracting new talent. Creating this benchmark enables organizations to lure in top talents from across the industry. This is beneficial from the organization’s perspective by two means – not only can the firm retain its skilled workforce; it even attracts quality talent from outside. With a wide talent pool, organizations have the benefit of choosing the right person for the right job. Also, they get a database of a wide variety of talented professionals whom they can count on as per the talent requirement.

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Corporate Training Creates Unity Within the Organization

Skilled workers are undeniably an asset to any organization. But, when too many heads are involved in the same task, the chances of an unfavorable turn of events occurring are quite high. Through corporate training programs, workplace relations can be improved, and the employees will be able to easily get along with each other and work in harmony. These programs enable them to overcome any workplace issues by raising awareness regarding how to handle and deal with such situations, thereby increasing their professionalism and moral outlook. Happy employees create a happy workplace.

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Corporate Training Reduces Employee Turnover and Improves Cost Efficiency

Employee turnover is a major concern for every organization. A considerable amount of time, money, and effort can be saved if the causes of employee turnover are analyzed and properly dealt with – efficiently and effectively. Generally, organizations have the impression that hiring a new employee is cheaper than retaining an existing staff. However, shockingly, surveys have determined that the cost incurred to hire new talent is way more than that spent on training and development programs in retaining current employees.

Research by Glassdoor in the US estimates that for a small to medium-sized business that hires a new employee, it loses about $4000/hire. Also, it was found that this cost necessarily may not produce the desired outcome. However, spending this investment on an already proven team can provide the organization with an opportunity to develop the already existing internal knowledge, thereby improving cost efficiency.

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So, the next time when you think about providing corporate training for your employees, consider how much more expensive it would be not to train your employees. Skilled employees are always an asset to your business. They are vital in developing your business reputation and pave the way to your organizational success. Finding a team that believes in your organizational goals and takes pride in achieving them as much as they love their work is luck. If you are indeed lucky enough to have found such a team, it is worth doing everything you can for them to retain them for your business goodwill.

How Intelligent Automation is going to shape our Society

Automation Engineer
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0
How Intelligent Automation is going to shape our Society

Intelligent Automation can be described as the combination of AI and robotics. As evident from historical artifacts, people have always been dependent on technology. Obviously, the technology of a certain period may not have been as advanced as the next. However, for the people of that particular era, it was indeed something to look up to. Technology simplifies the lives of people – like how tools and machines simplify our work. This is the beginning of the concept of the Industrial Revolution, which commenced in the 18th century.

The First Industrial Revolution occurred towards the end of the 18th century and continued until the beginning of the 19th century, through the mechanization of industries with the invention of the steam engines. Following this, the Second Industrial Revolution happened towards the start of the 19th century, with the discovery of electricity and assembly line production. Major technological advancements and progress took place during this period and is currently considered the most important among the four industrial revolutions.

Intelligent Automation
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With the invention of computers, factories began to automate their production processes through the use of programmable memory controls during the 1970s. This was the beginning of the Third Industrial Revolution. Currently, we are in the period of the Fourth Industrial Revolution, which began at the dawn of the third millennium through the invention of the internet by the computer scientists Vinton Cerf and Bob Kahn. Also known as Industry 4.0, it is characterized by the application of communication and information technologies to industries.

Intelligent Automation

Also termed as Cognitive Automation or Hyperautomation, it is the combination of advanced technologies like Artificial Intelligence (AI), Machine Learning (ML) and Process Automation (PA). Smart business processes and workflows are created using IA that are capable of thinking, learning, and adapting to their surroundings all by themselves.

Intelligent Automation

Business Benefits of Intelligent Automation

Businesses benefit considerably through IA. End-to-end business processes within a digital environment can be automated with the help of IA to deliver the desired outcomes. This improves the efficiency of the process, thereby increasing the outcome and ultimately maximizing the business turnover. At the end of the day, both the company and the consumer are satisfied.

It is worth noting that, interestingly, more and more companies around the world are adopting automation technology to improve their business efficiencies and turnovers. For instance, leading companies such as Amazon, Netflix, etc. have long adopted IA technology, and is growing by 20% to 60% annually. Through the adoption and implementation of IA, every industry can reap such unprecedented growth benefits.

amazon netflix smeclabs

Another strength of using IA is that as per the research conducted by Gallup, around 85% of the employees worldwide are unsatisfied with their job roles or responsibilities. The reason for this alarming rate is that most of their work was repetitive, manual, and tedious. IA can solve this problem boost employee morale and eventually boost the workflow outcome.

Customer experience is one main area where IA has made its mark. It is a well-known fact that customer satisfaction and customer retention are crucial for any business. Studies have determined that over 90% of unhappy customers don’t even bother to give constructive feedback, and a major share of them would simply leave the brand or company – never to return.

Technologies like AI and IA have proven to improve customer satisfaction and customer engagement. For e.g., the AI utilized by the Amazon Company studies the browsing and shopping patterns of their customers and provides similar product suggestions and recommendations based on it. This feature has simplified the shopping experience of Amazon customers and has created better customer relations and loyalty towards the company.

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Undeniably, AI has become a part of our lifestyle. “OK Google”, “Hey Siri” and “Hey Cortana” are a few examples of AI-based technologies that we rely on in our daily lives, to make it easier, quicker, and simpler.

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Apple – “Hey Siri”

AI is also fast reshaping the face of almost every industry that we come across to such a level that within the next 5-10 years, nothing might be the same in our workplace. With developments in autonomous vehicles and machines, we no longer require human intervention to do most of our daily chores. While IA can help create a better tomorrow, careful and thoughtful developments in the right direction would lead to our overall prosperity. At the same time, with the wrong notion, AI could even bring about the end of our very existence.

How Automation and Robotics are used in the Construction Industry

Civil Engineer
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0
How Automation and Robotics are used in the Construction Industry

Introduction to Automation and Robotics

It is worth noting that Automation and Robotics have become continuously emerging trends in almost every industry that we could think of! Due to the need for higher accuracy and improved productivity, automation and robotics are increasingly being adopted and implemented in areas where these qualities top the list of priorities. Moreover, being faster and more efficient apart from enhancing the safety of the workforce, companies are increasingly adopting automation and robotics for smoother, trouble-free operations.

Automation and Robotics
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The construction industry is no different from the other industries when the matters of accuracy, efficiency, productivity, and safety are considered. Just like any other industry, the scope of automation and robotics in the construction field is endless right from the planning process until the completion of a building structure. Here, we will shed light on a few of the areas where automation and robotics are useful in the field of construction.

On-site Automation Machines

Machines have always made the life of humans easy since time immemorial. In the construction industry, the utilization of autonomous machines to reduce human effort, and increase speed and safety while improving overall efficiency have all boosted productivity and profitability. For instance, self-driving vehicles handling transportation of materials from one location to another can carry more load with less effort as compared to manual labor.

Automation and Robotics

The HX2 – an autonomous and electric load carrier designed by Volvo is capable of moving heavy loads without any additional input. It utilizes a “digital-logistics-driven control technology” called “vision-system” by Volvo to detect obstacles in its path and avoid them.

Automation and Robotics

Additionally, they have increased safety and are more productive than manual labor. Also, machines such as forklifts, excavators, etc. that are comprised of robotic technologies make the job seamlessly easy and can also be operated remotely, making it highly suitable for work in high-risk areas and applications. They require fewer “breaks” and can work continuously for hours without getting tired or exhausted.

Surveying of Work Conditions Using Drones

Nowadays, drones are being utilized for surveying hard-to-access areas and getting better analysis of job conditions. For such works, both aerial drones as well as ground-based robots are utilized to gather multiple data. These drones can be programmed to detect faults or potential hazards that may get overlooked by human errors. The necessary preventive measures can be adopted by analyzing the data obtained from these drone survey assessments. They are also being used for conducting pre-commissioning inspections and other relevant site monitoring activities such as limited surveillance for worker supervision, site security, and final inspections.

Automation and Robotics
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Automation and Robotics
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Drones enabled with Augmented Reality and Virtual Reality enable the drone operators to gather a realistic and real-time feel of what the drones are seeing.

Concrete Works and Robotics

It is worth noting that humans are still in the loop for much of the construction robotics. For consistency and the right mix of concrete mix and concrete slurry, robots are being utilized nowadays. These robots ensure that the mix is always consistent with the right amount of cement, sand, and gravel. This reduces unnecessary material consumption and wastage.

Automation and Robotics
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Automation and Robotics
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The robots are also being used for laying cement, polishing floors, removing surface water, etc. Through the automation of these processes, we can eliminate human error while reducing material consumption and improving work efficiency and productivity. Bigger and heavier robots are also used to build demolition and removal of concrete debris.

Data Gathering and Processing using IoT Sensors

The Internet of Things (IoT) based sensors are implemented in the robots to gather real-time readings and measurements of variables such as temperature, pressure, and other conditions. Based on these readings, companies can determine, design, and automate the various robots used in the field.

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Upon receiving the specific signal, these sensors are triggered which will execute the predefined control action. For e.g., a smoke detection sensor will trigger the smoke alarm and the sprinkler system when it detects smoke. The alarm system is for alerting the occupants to move to a safe area, while the sprinkler system puts out the fire that caused the smoke.

Project Planning and Training Using Virtual Reality

Virtual Reality (VR) and Augmented Reality (AR) find immense application in the construction field. These can be used to create the Digital Twin of a project which is used to check for imperfections in the design. Project feasibility, fault detection, design stability, etc. can also be checked and verified even before the project commencement in real life. Additionally, it will also provide an exact idea of how the final design structure would look in the real world, enabling architects or designers to make last-minute design modifications as per client needs.

VR in civil smeclabs
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vr in project civil smeclabs
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Virtual Reality is constructed using a series of scanned images, thereby creating a simulation environment that allows builders to interact with a particular section of the project. With the use of VR, for instance, a mechanic can crawl through the pipes in a building for inspection and maintenance checks. VR plays an important role in the field of automation since it employs programmed 3D scans that are highly accurate and free from human errors.

Impact of IoT in Industry 4.0

Automation Engineer
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0
Impact of IoT in Industry 4.0

Introduction to IoT in Industry 4.0

IoT in Industry 4.0, IoT will make a huge impact in the industrial sector it will make the industrial process really quick and safe. Internet of Things means connecting several device by using several software and other technology. Every one of us has come across or heard about Industry 4.0 in one way or the other. By definition, an industry is concerned with the economic activities of the production or processing of raw materials or the production or manufacturing of goods and services in a factory.

Improving production by the use of IoT Analytics in Industry 4.0 has been the talk of the town. One of the prime concerns of any industry, amongst many others, is regarding production efficiency – the higher the efficiency, the better for the company.

In order to successfully run an industry, the management needs to thoroughly analyze and address the following questions:

  • What to produce?
  • How to produce?
  • When to produce?
  • How long it takes to produce?

With the increase in complexity of the product along with the product life cycle and the demand for a certain product with respect to the others to name a few, factories face numerous challenges. As a result, they are increasingly relying on advancements in technologies to solve these limitations.  Currently, what the manufacturers are leveraging on is the Industry 4.0 trend, which comprises of smart technologies like the Internet of Things (IoT), specifically the Industrial Internet of Things (IIoT), Artificial Intelligence, Machine Learning, Robotic Process Automation, etc.  to name a few. Evidently, IoT has become one of the foundational measures adopted that is driving towards smart production.

IoT in Industry 4.0
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With the implementation of sensors, manufacturing processes have simply stepped up. Sensors are beneficial in providing real-time information regarding the assets – namely the machines and the products, production lines, and processes. However, sensors can be relied on only for the purpose of sensing a specific change in the field variables and transferring this data to the control devices.

The real benefit is achieved when this collected data is analysed by the manufacturers to derive meaningful insights regarding the process. Interestingly, over the years, many manufacturers have been turning towards decisions based on IoT analytics to derive the most benefits from their business models.

Before we dive into the subject of IoT analytics, it is essential that we discuss the concept of Digital Twin. It is nothing, but a dynamic and virtual representation of physical devices which is used to perform simulations before the actual devices are built and deployed. The Digital Twin is created to receive the data collected by sensors from real-world situations.

Through this simulation of the physical object in real time, valuable insights on performance and potential problems of the process are obtained. The Digital Twin concept is changing the way how technologies such as Artificial Intelligence (AI), IoT, and Data Analytics are being optimized.

IoT Analytics

The data collected from sensors need to be contextualized and noise-free as these will create a large impact on the operational efficiency of any device. The real-time analysis of sensor data also termed in-stream analysis, is carried out via frameworks like rules. Through this approach, the identification of critical events and the adoption of appropriate actions becomes optimized. For instance, imagine that a sensor monitoring a particular piece of equipment detects that it is overheating while in operation.

If a rule is set up to notify the operator or to take another necessary control action once the temperature crosses a threshold limit, an unfavorable situation can be averted. This aids in ensuring the smooth and efficient running of the equipment without having the operator perform regular safety checks. Additionally, analyzing the sensor data would provide insights into what caused the particular problem and the necessary rectification can be undertaken.

IoT in Industry 4.0
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With the implementation of Industry 4.0, supply chain practices are becoming more responsive and adapting to the quickly changing external situation. Manufacturers are gaining better insights based on the telemetry collected from the assets. Artificial Intelligence is also being utilized to come up with predictive models and thereby add intelligence to the machines. The results obtained from the predictive model analysis is then utilized in predictive analytics, thereby enabling manufacturers to undertake preventive maintenance as opposed to run-for-failure maintenance.

Today, with the increasing competition due to globalization, manufacturers are heavily relying on technology to survive in the race. No one wants to be left behind. Through the latest technological advancements, it has become effortless for manufacturers to analyze the operational parameters of the machines and plan for future production through digital and resilient supply chains.

Best IoT Course Training Center in India?

SMEClabs provides high-end training in various courses for IoT and IIoT. On IoT courses starting from basic level embedded system courses and low-level programming. IIoT courses start from the basics of electrical and automation courses.

Impact of IoT in communication?

Embedded systems and VLSI use communication via IoT

What is Building Information Modelling (BIM) – is it a good career option for Building Engineers

Civil Engineer
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What is Building Information Modelling (BIM) – is it a good career option for Building Engineers

What is Building Information modelling?

Building Information modelling is used to do the 3D representation of a building. For managing and representing the physical as well as functional characteristics of different places, we use Building Information Modelling. This process is supported by different tools, technologies, and contracts. We extract, transfer or network data from Building Information Models to support decision-making regarding a building or other built asset.

Building Information modelling
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Career Options in BIM

Currently, BIM software is widely used by individuals, businesses and government agencies to plan, design, construct, operate and maintain diverse physical infrastructures such as water, refuse, electricity, gas, roads, railways, bridges, tunnels etc.

Building Information modelling
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BIM is one of the best 3D model-based processes that provides architecture, engineering and construction professionals with the tools and the necessary insight to efficiently plan, work, design, construct and manage buildings and infrastructure.

Architecture: Create better designs, and decisions and improve building performance.

Civil: Utilize intelligent connected workflows to improve predictability, productivity and profitability.

Construction: For digitizing the construction site and connecting project data from design through construction handover.

MEP: provides real-time support to ongoing projects along with its delivery process and to improve the MEP design quality.

Plant: For managing the design and construction aspects of intelligent piping, structures and processes more efficiently and thereby collaborate throughout the project lifecycle and at hand-off.

Structures: Enables you to explore how structural design and detailing software can help one to win new business opportunities and support in real-time project delivery.

Current BIM Professionals

With the Building Information Modelling (BIM), an absolute virtual model of a building is created that is to be constructed. Nowadays, it is extremely common to see CAD professionals, Civil Engineers and Architects turning to BIM job functions.

Building Information modelling
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These professionals handle a variety of job responsibilities such as meeting clients and contractors, making sure models are done correctly, running clash detection and ensuring that there is no scope for errors. This requires managing all the information and modelling it systematically and regularly.

Jobs available for Architecture, Civil Engineers, and Construction Professionals in BIM

Building Information Modelling Job Profiles are listed below:

  • Knowledge-Based
  • Skill/Project Based
  • Corporate Support & Service Based
Building Information modelling
Image courtesy: Autodesk

Most in-demand job profiles in BIM

The most in-demand job profiles include:

  • BIM Technician (MEP) – Mechanical Electrical Plumbing
  • Revit BIM Modeller (Structural/Architectural/Electrical)
  • BIM Manager
  • BIM designer
  • BIM Coordinator – Civil 3D
  • Revit/BIM Modeller (MEP)
  • Structural BIM Modeler – Tekla Concrete/Steel
  • Business Development Manager
  • BIM/Revit – Draughtsman
  • BIM Structural Engineer
  • BIM Consultant
  • BIM trainer

How to Start with BIM

Coordination (Navisworks, BIM 360 Glue)
Everyone needs to start with something. In the case of BIM, most often, people begin with MEP coordination in Navisworks. Interestingly, the modelling ability required here is ZERO. Although this normally takes some effort from the learner side, it is comparatively the easiest way to start with BIM.

Modelling (Revit, Sketchup, AutoCAD)
When it comes to modelling, the tool of choice for architects and designers is Revit. Revit sheds a lot of knowledge – from databases and information to buildings and designs.

Building Information modelling
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When it comes to the field of MEP, AutoCAD is the preferred tool of choice. There are similar functions and features in both Revit and AutoCAD.

4D Scheduling (Synchro, Fuzor)
4D scheduling is the combination of a 3D model and a project schedule. The three different skills required in 4D are:

  • Modelling construction elements
  • Scheduling
  • Linking models to schedules

Having all of the above three is considered the holy grail.

Building Information Modelling (BIM) Coordinator Salary

Average Salary in the USA: $60,231 Per Year

Average Salary in India: Rs.4,05,528 Per Year

Building Information modelling
What is Building Information Modelling (BIM) – is it a good career option for Building Engineers 54

Conclusion

It is worth knowing that in countries like the USA, UK, Netherlands, Canada, Australia, Singapore, India and the Middle East, the demand for BIM-skilled professionals is on the rise. Many visionaries expect BIM to become the standard practice in the coming years. As a result, quite several design teams are adopting BIM and the numbers are to climb further over the next few years.

Fresh BIM engineers have a solid career in the short span of 5 to 10 years, although it is very unlikely to change after that. However, for experienced BIM professionals, the scope is endless.

Interested in Building a self driving car Using Artificial Intelligence?

Embedded System Engineer
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Interested in Building a self driving car Using Artificial Intelligence?

Self driving car

Self driving car Yes, you heard it right! If you want to follow your passion for creating innovations and making the world a better place, then, a career in Artificial Intelligence is just the right thing for you. It prepares you to design and build a system that enables a machine to think, analyze, learn, judge, and act like a human. There is a whole lot more to Artificial Intelligence than what meets the eye.

Through Artificial Intelligence, design your very own “Tesla” a self diving car, and, who knows, you might even become the next Elon Musk! Artificial Intelligence is gaining popularity and is being adopted by all major industrial sectors. With rapid and continuous advancements occurring in the field, Artificial Intelligence has made its mark and is to stay for a really long time.

Fundamentals

To familiarize any new technology, one must start from the basics. Having a strong knowledge of Python and C++ is mandatory to excel in the field of Artificial Intelligence. Additionally, a firm grip on mathematics as well as physics will be an added benefit mainly while dealing with subtopics like matrices, linear algebra, and calculus.

Self driving car
Interested in Building a self driving car Using Artificial Intelligence? 59

There are many programs offered in India on Artificial Intelligence, Python, C++, Machine learning, etc. like the ones offered by SMEClabs. However, it is the quality of the content, depth of the subject, area of subject coverage, and the mode of deliverance that sets SMEClabs apart from the rest.

Artificial Intelligence

The prime aspect to consider while designing a self-driving car is safety. Because a self-driving car is driverless, a considerable quality of thought needs to be given to its safety features. A self-driving car needs to maintain lane speed and distance from adjacent cars, detect obstacles, traffic signages, etc., and maneuver itself to avoid any possible accidents. It must also “keep an eye” on any unforeseen dangers at pedestrian crossings, intersections, sharp turns, etc. This is where Artificial Intelligence and Machine Learning come into play. Both these technologies help the vehicle to undertake decisive actions based on logical thinking and reasoning similar to a human being.  

Self driving car
Interested in Building a self driving car Using Artificial Intelligence? 60

Designing a self-driving car requires expertise in the following areas:

  • Robotics
  • Computer Vision
  • Image and Signal Processing
  • Machine Learning
  • Artificial Intelligence
  • Software Engineering
  • Communication
  • Embedded Systems
  • Dynamics and Control

The self-driving car manufacturing company giant Tesla’s CEO Elon Musk says “ To my surprise, Tesla has better AI hardware & software than Waymo (money)”  — Elon Musk (@elonmusk) January 25, 2021

elon musk smeclabs
Interested in Building a self driving car Using Artificial Intelligence? 61

Job Roles

The following are the top Job roles associated with self-driving cars:

  • Deep Learning Engineer
  • Embedded Systems Engineer
  • Control Engineer
  • Robotics Software Architect
  • AI/ML Design Architect
  • Data Scientist
manufacturing self drive car
Interested in Building a self driving car Using Artificial Intelligence? 62

The main constraints that will be faced by self-driving cars on Indian roads will be tough traffic and inaccurate road maps. Although efforts are being made to tackle these issues, only time will tell how successful they turn out to be.

Learning Options

Career-seekers can turn to SkillUp or skill development firms to get the necessary skills required to design and develop a self-driving car. There are many institutions to choose from, which are providing ONLINE and OFFLINE training like the one provided by SMEClabs.

India lacks academic content on using ML and AI in robotics. Much development has to be made in this regard to update the students regarding these prospective and world-changing technologies. The Government of India has also come up with a promising gesture to empower the skills of the students by making it mandatory for professional students to undertake Internship programs. Through internships, students are exposed to industrial trends and receive hands-on training on different subjects.  Having undertaken internships strengthens the students and prepares them to be industry-ready.

Through the newly launched SkillUp program by SMEClabs, learners around the world will have access to learn in detail and receive hands-on experience from one of the major industry giants in the world. Through such skill development programs, the technology gap as well as the skill gap can be reduced.

Industrial Process Automation Training with EduExpress

Automation Engineer
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Industrial Process Automation Training with EduExpress

Industrial Process Automation is the system of automatically controlling different equipment in manufacturing processes through successive stages. These processes are achieved using Mechanical, Electrical, Electronics, and Computer-based devices like PCs/PLCs/DCS. Using these technologies, we can control any large process without human intervention, delivering high performance and accuracy. Although this may raise a concern that machines may replace humans in the long run, the reality is quite different. Increased use of automation results in the requirement of qualified engineers/technicians with adequate training and sufficient knowledge in all aspects of Industrial Process Automation. Here, we will discuss more on the qualifications and skills required to become an Industrial Process Automation Expert.

Why Automation?

Automation uses control systems such as computers or robots to monitor and handle processes and machines. The main motive of automation is to improve productivity and quality while reducing errors and waste. Increased safety and added flexibility to the manufacturing process are other added benefits of automation. In the end, all these lead to increased safety, reliability, and profitability.

Benefits of using Automation

  • Reduce operator effort
  • Prevent products or materials from being damaged
  • Prevent non-conforming products from dispatch to customer
  • Increase efficiency
  • Collect better and more reliable data
  • Economical

Recent Trends in Process Automation

Adding Industrial Robots to the Automation Industry

Industrial Process Automation
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Presently, most of the Automobile, Medical, Production, and Food Industries use robotic arms for manufacturing, sorting, and packaging. This shows that Robots are thus becoming major players in the current Industrial Processes. These robots are controlled by using advanced Automation technologies. In many other areas, humans and robots associate and work side by side to complete the assigned work.

IIoT (Industrial Internet of Things)

Industrial Process Automation
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IIoT is the latest trend in technology worldwide. Similar to IoT, IIoT involves controlling and monitoring different equipment in an industry from anywhere on the planet. The fourth Industrial Revolution i.e. Industry 4.0 is slowly gaining popularity and being adopted across the various industrial sectors. We have already stepped into the future. Some of the technologies that are included in Industry 4.0 include Artificial Intelligence (AI), Robotics, 3D Printing, Industrial Internet of Things (IIoT), Big Data Analytics, and Cloud Computing.

Why do we need a Skilled MANPOWER in the Automation Industry?

Every Automation Industry requires manpower, that possesses the following skills:

  • Decision Making
  • Understanding the Concept
  • Analytical Skills
  • Troubleshooting Skills

Automation increases the efficiency of a machine or process in any industry. Essentially, an Automation Engineer or Technician should develop the complete skill set with which he/she can perform various user requirements.

The Key success of the Automation Industry lies in some essential equipment like PLCs, DCS, SCADA, Control Panel, HMI, Motor, VFD, Robotics, Motion Control, Data Collection, MCC, Pneumatic and Hydraulic, Vision and Motion, Control Valves, Transmitters etc. Having a good knowledge of these components of Automation already makes you an Automation Engineer!!! It is worth mentioning that these are not taught in any colleges nor can they be self-taught effectively. Students have to rely on some reputed Institutions providing hands-on training by Professional Industrial Engineers in these fields.

As the Industrial Revolution increases, so does the need for qualified and quality Automation Engineers. Since companies are advancing and updating their technologies, the need for Automation Engineers with all the above qualities is also climbing. Other than that, those companies that develop these robotic and IIoT-based technologies also require manpower to develop and improve these concepts.

Industrial Process Automation Training by EduExpress

The Industrial Process Automation training provided through EduExpress by SMEClabs is of the most Premium quality. Topics include PLC, PAC, DCS, SCADA, VFD, HMI, Industrial Standard Panel wiring, Motor Control Centre, Interfacing, Troubleshooting, Pneumatic and Field Instruments, etc. These are some of the major topics covered in the program. Our training program sequence is arranged in such a way that students can understand and grasp them very easily.

The course contents are designed by industrial standards. The main objective of this course is to familiarize students with creating programs by themselves. Then, they will be able to communicate with SCADA and HMI, after which troubleshooting of that program will be undertaken. It also enables them to perform all sorts of PLC-to-PLC communication, PLC-to-VFD communication, PLC-VFD-HMI communication, etc. These are related to the programming and communications side.

Knowing just the above techniques does not qualify you as an industrial engineer. Knowledge of the hardware components to assemble panels per industrial standards is also mandatory for troubleshooting and rectification. But if you think that familiarizing these concepts will make you industry-ready, you’re wrong. We have more for you. Our dedicated faculty will train you on different industrial projects so that you receive relevant experience. Additionally, we also provide you tips to crack interviews, tackle GDs, etc., and prepare you to become a complete Industrial Expert.

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