IT Enabling Industry 4.0 in Consumer Services Sector

IT Enabling Industry 4.0 in Consumer Services Sector

Consumer is the most important thing for any business. Leading companies know that keeping today’s consumers needs to provide them with consistent brand experiences that inspire and motivate. Part of the brand experience is the product experience – which is related to manufacturing. But even with a focus on tasks, the brand experience includes a lot – such as on-time delivery, on-demand response, and new business models that make life easier.

Ways Industry 4.0 Benefits Consumers

Tracking Technologies

Radio Frequency Identification (RFID) and Global Positioning System (GPS) are very important for the supply chain, especially when it comes to warehousing, inventory management and shipping. These technologies provide accurate, real-time information about the availability and location of product parts between internal manufacturing sales and external partners, helping to improve activities for the betterment of all stakeholders. This ultimately benefits the consumer by providing increased exposure to available products and delivery status. RFID is also being used in retail stores and shopping malls to improve consumer experience. 

For example;

Shoppers can have a 360-degree view of the product they want to try using the MemoMi Memory Mirror which creates a virtual testing environment. The customers can even change the color or pattern of products they are trying with simple gestures. RFID tags allow the interactive mirror to recognize the products automatically.

The first Amazon Go store enabled consumers to grab items and drop them off easily. The store automatically receives items on each buyer’s Amazon account, and sends them a digital receipt for their purchase.

It was revealed that they used Sensor Fusion, a combination of technology including cameras, RFID and sensors to make this happen.

Artificial Intelligence (AI)

Computers that can “think” like humans are capable of quickly processing information, drawing conclusions and making recommendations. Manufacturers can transform the consumer experience at an early stage of the buyer’s journey by improving the interaction by applying AI-driven analytics to their data. Manufacturers can use intelligent chat bots to quickly help consumers with common questions or concerns, or use intelligent data analytics to adjust email strategies or applications to suit the needs of consumers without human involvement. 

For example;

LivePerson is a company providing enhanced messaging using AI which had revenue of about $200 million last year and is currently working with IBM Watson. The company is deploying the “Boot Assistant for Agent” model for some clients. The goal is to avoid the frustration that some people feel while dealing with a pure boot while still using technology to increase efficiency. At the moment the company feels that ordinary bots do not work, but special bots that can perform very normal and easy to handle tasks work better.

LivePerson has created a system in which humans and bots work together. The bot can handle very simple questions directly, but as the conversation becomes more complex, the bot hands over the conversation to the human operator. Then, the human operator can perform the complex tasks leaving the simple and easy tasks for the bot to do. This gives maximum time when human agents do things that only human agents can do at the moment and reduce the time by allowing bots to handle the simple and easy issues.

Virtual Reality (VR)

VR is changing the production process and assembly line configuration at the plant, but it is also giving manufacturers the opportunity to showcase their products or processes to consumers in a virtual environment. By bringing the product closer to the consumer and allowing them to be “tested” in practice, the shopping experience becomes much more realistic and profound, and builds confidence in a manufacturer and their product at the beginning of the buyer’s journey. One shot of VR, Augmented Reality (AR), allows manufacturing maintenance teams to place data readouts and digital images of internal systems on top of the actual physical view of working devices. This makes it easier for consumers to find a better product.

For example;

Ikea comes with the Ikea ARKit app, which allows users to get a 3D preview of selected furniture in the desired location in their homes / offices. Consumers can view fit and preferences in furniture items.

TopShop has built VR testing rooms for consumers in their Moscow store using Kinect Motion Sensing technology. Standing in front of the camera, consumers were able to see how the clothing items looked on their bodies without physically testing anything.


Working from home and other methods that started during epidemic will potentially accelerate the adoption of IoT for consumer goods. The first 5G IoT consumer electronics will provide new opportunities to maximize sales. 

According to Research & Markets, the Global Fast Moving Consumer Goods (FMCG) packaging market is estimated at $514.4 billion. It is expected to reach $622.5 billion by 2027. FMCG operators have long used IoT devices and networks as a platform to increase global household sales. In addition to price inflation due to the global electronic component supply chain crisis caused by epidemics, the cost of IoT hardware and services will decrease in the coming years allowing FMCG companies a reason to spend a considerable budget in IoT solutions.

For example;

One of the best uses of IoT is smart packaging. This interactive packaging can be as simple as a QR code, readable via a smartphone or a device provided by the store. The code triggers an experience that can inform or facilitate payment of goods without having to stay in the cash register. Digital printing, RFID tags and NFC protocols enhance product connectivity through their packaging. 

An example is the collaboration between Bombay Sapphire gin and Shazam App. They created a printed label that consumers can use to access exclusive AR content and video tips via their smartphones. Consumers are most receptive to product ideas and activities when they handle them in the store or wrap them up at home. This is the best time to use the two-way flow of data and marketing.

We have seen how IT is helping consumers to have better buying experience, let’s now have a look at how IT can help manufacturers to serve consumers better.

Online platforms and data analytics

E-commerce platforms have become much stronger over the years, and happily, it’s much easier to set up. With one place, manufacturers enjoy many benefits, such as presenting their products to a wider audience online. Many of these platforms also collect consumer lifecycle information to track patterns of consumer behavior over time. They can identify consumer preferences, most popular products, demand growth, and additional indicators that enable manufacturers to build consumer-oriented products and improve their service experience.

Sustainable Manufacturing

Sustainable manufacturing involves cutting off alternative energy and reducing harmful emissions by installing energy-efficient lighting, equipment and machinery. They also improve the shopping experience for many consumers. Studies also show that millennials, the largest living generation in the United States, are very environment conscious, and that sustainable manufacturers are attracting their attention and pockets as well.

IT Enabling Industry 4.0 in Mining, Oil, And Gas Sectors

IT Enabling Industry 4.0 in Mining, Oil, And Gas Sectors

When it comes to the mining, oil and gas industries, the last decade has seen massive upgrades in terms of technological advancement. The fall in oil prices in 2014, along with rising regulations, forced major oil and gas companies to cut their IT costs. However, with the proliferation of oil and gas, and due to volatile and hazardous world conditions after covid-19, companies have started to adapt technological advancements to reap the benefits of Industry 4.0. Companies are increasingly adopting technologies such as IoT, AI, advanced analytics, and cloud computing to increase operational efficiency, reduce costs, and improve manual operation.

Technologies such as seismic imaging are helping companies experiment with 4D models in the research process, and sensor data is being used to determine the correct methods of mining, drilling and optimize production. In midstream operations, the key areas of change have been data management so that inventory levels can be tracked and logistics operations run smoothly. Digital purchasing, forecasting maintenance, labor training and real-time operations monitoring have been some of the key areas of change at the downstream. There have been cases of use in the Automating Oil rig and the Smart Exploration stream domain and much more. 

Let’s have a look at the technologies that are enabling Industry 4.0 in mining, oil and gas sector and their use cases.

AI and Machine Learning

Machine learning enables computer systems to learn and interpret data without human input, improving the process through repetition to develop programs for specific purposes. It helps companies to have an eye on complex internal affairs and respond quickly to issues that human workers may not know instantly.

Machine learning can also be used to run simulations, using predictive data models to discover patterns based on different inputs. The mining oil and gas industry can use AI before assessing the potential impact of new changes or assessing the environmental issues related to a new project.

Data Science uses AI to extract information and insights from data, interconnect relevant pieces of data using neural networks, and create more comprehensive images from existing information. The offshore oil and gas industry use AI to make the complex data used for oil and gas exploration and production more accessible, allowing companies to explore new opportunities for discovery or improve the existing infrastructure. 

In January 2019, BP invested in Houston-based technology startup Belmont Technology to enhance the company’s AI capabilities, developing a cloud-based geoscience platform called “Sandy”.

Sandy helps BP to translate information collected from geology, geophysics, history and reservoir projects, and develop a unique “knowledge graph”.

AI intuitively integrates information, identifies new contacts and workflows, and uses them to create a stronger image of BP’s underground assets. The oil company can then consult the data in the science graph; AI simulates and interprets the results using artificial networks.

Big Data

Petroleum engineers and bio scientists spend more than 50 percent of their time collecting data, Brule reports. Several companies are in a hurry to implement big data systems for oil and gas to enhance the efficiency of process and save time.

Big data analysis helps companies in exploration, drilling, production and delivery.

The US based companies are already enjoying the fruits of big data analytics. The market is driven by high demand for solutions in the Gulf of Mexico and US shale fields, which will help make better decisions and improve efficiency. ConocoPhillips said the sensors deployed in the  Eagle Ford Shale Basin in South Texas, helped reduce drilling time by about 50 percent. The North Sea is expected to be the second largest market. The digitization of oil fields in the region during the low oil prices led to a 40% reduction in operating costs in the North Sea.

As reported by Mehta, based on the results of the General Electric and Accenture survey in 2018, 81% of executives ranked big data as one of the top three priorities for oil and gas companies. And this is mainly driven by their need to improve oil and gas exploration efficiency.


The use of IoT helps companies avoid breakdowns and accidents, makes the entire production process more predictable, increases revenue while reducing costs, defeats competitors and increases market share.

Sensor-based technology can be used to monitor pressure in pipes, monitor drilling processes, and detect machinery conditions and leakage. In this industry, the speed of problem solving can be considered as billions of dollars in savings.

Smart algorithms analyze data and events registered and detected through cross-reference and various sensors. They create unique insights that help management make important decisions, for example, when to start drilling and when to stop to avoid problems.

Smart algorithms can predict when the terms of expensive goods change and require regular or immediate maintenance. Needless to say, timely on-demand maintenance is more effective than routine checks and acts as a guarantee of worker safety.

 A company named Annova integrates Telit technologies to expand its products and provide more value to its customers. By equipping fuel and gas tanks with sensor-based telemetry systems, consumers receive a full range of tools and services to measure and monitor the exploitation of tanks.

HPE worked with partners to make Texmark an efficient, flexible, secure and reliable plant of the future. Today, it is a complex ecosystem that integrates a range of solutions in automation and data-driven operations in IIoT, predictive modeling, edge analytics and AI technologies.

Many enterprise level companies, market leaders such as IBM, Cisco, Schneider Electric and Microsoft provide customized IoT solutions for the oil and gas industry.

Cloud Computing 

The mining, oil and gas companies can measure their data management and storage and build a greater flexibility in infrastructure expenses using cloud computing system. The cloud computing systems provide high computing power and support the implementation of other technologies such as intelligent management of physical assets, which facilitates operational efficiency as well.

Cloud provides agility, which allows oil companies to reduce their resources on the basis of operational integrity and profitability, while also giving them the ability to scale up. It improves their adaptation to any disruptive trends that arise as energy transfers, while also ensuring that mergers and acquisitions (M&A) activities are facilitated as soon as possible. Standardization can be achieved through the cloud, where oil and gas best practices are automated and provided with real-time insights, allowing information to be shared across departments through cross-departmental collaboration and visibility.

Major oil and gas companies like ExxonMobil, Chevron, BP, Total and Shell are the key players in the cloud computing systems implementation in the oil and gas industry. Some known cloud solution providers to these companies are Pivvot, AVEVA, Halliburton, Microsoft Azure and Cegal.

Extensive use of existing digital technologies in the mining, oil and gas sector could reduce production costs by 10% to 20%, according to the International Energy Agency. Companies are increasingly investing in applications such as logistics and inventory management that can be expanded with the help of digital technologies. With the passage of time, new improvements are being done in these technologies to facilitate different sectors. Let’s see, what these technologies bring further in our lives.

IT Enabling Industry 4.0 in Education

IT Enabling Industry 4.0 in Education

With the fourth industrial revolution in education sector, the concept of education has been changed completely and some new trends appear that we were not aware of. The new education system is built on idea of success in life, not just in exams, focusing on the need for personal education. Here are some of the new features of Education 4.0 enabled by the IT techniques.

AI in Education

As an educational tool, artificial intelligence is never a substitute for teachers, but a very good companion. The advantage of having an AI system is that it can save a lot of data and information. This quantitative benefit can track student’s performance, which can help faculty better assess students’ academic progress and give them more attention when needed. Introducing children to modern technology such as artificial intelligence can make them tomorrow’s leaders who can make better and advanced decisions.

UNESCO Institute for Statistics (UIS) reported that there is a scarce amount of well-trained teachers all around the world. By 2030, universal primary and secondary education institutes are going to hire 69 million more teachers. But this is where AI can help. It can allow to fill the gap between teacher-student ratios and achieve different educational targets globally.

Where are we now?

Educational technology is at a critical juncture today. More and more schools are taking steps to include AI in their curriculum. Incorporating STEM education (science, technology, engineering and math) through robots such as a company’s ROYBI robot can help children improve their cognitive abilities, which increases children’s thinking skills and curiosity. In China, Keeko robots have become more popular by providing storytelling and problem solving services to kindergarten students.

AI is also looking for a place in higher education. MobiMax K-8 uses AI to create personalized lesson plans and curricula for students. It also includes games and competitions to encourage and keep students engaged. Carnegie Learning has developed MATHiaU, an AI-based math teacher for higher education in mathematics. The company assures students of personal learning, which will increase student participation in the learning system.

Big data in Education

Big data has made significant changes in many aspects of education. According to a study published by the European Union’s Publications Office, the most important change in education through big data is the ability to monitor the education system.

Here is how it works:

Students create tons of data every day, and this data comes from a variety of sources. For example, some instructors incorporate social network adapting pedagogical practice (SNAPP) into the teaching process, read student blogs, and measure how much interest they have in a particular course. The system also measures how well a particular instructor performs in teaching the course.

With the introduction of Netlogo, error measurement has become more comfortable, a system that tracks clicks and measures how many errors each student makes in the test and allows students to perform each task with minimum mistakes. 

One of the most important achievements of big data in education sector is the creation of a learning management system. It allows teachers to assign and create tests using information that is already in place using online automation.

Apex Learning, for example, creates smart learning solutions that help the middle, high school and virtual learning environments. The system helps students to get more involved in developing their skills and learnability. Students can also continuously have an eye on their progress. Moreover, teachers have access to real-time data that helps access latest information to develop or modify lesson plans according to students’ needs.

This platform provides teachers with data on how they are developing students in all their classes. Whether they are trying to master a particular subject or need more attention, Apex helps teachers personalize the learning process.

Civitas Learning offers students Success Intelligence Platform that provides educational and career planning, student support, utility measurement and data-driven counseling.

Civitas platform collects data from all parts of the university or institution to help students make more specific decisions with arithmetic results. Solutions help teachers improve their huge amount of work and engage with students more effectively.

IoT in Education

Using IoT in education sector means availing smart building solutions in an educational ecosystem, such as school buildings, classrooms, buses etc.

With the growing popularity of devices such as Amazon Alexa and Google Home, consumers are rushing to integrate smart home solutions into their daily lives. As smart building solutions have evolved, educators and school administrators are beginning to recognize the benefits of using IoT technology on a large scale in school’s building and other settings.

IoT networks allow custom security plans that use connected devices such as color lights, digital signals, door locks and sensors.

Studies show that fluorescent lighting commonly found in schools can have a negative effect on student’s performance. Programming and Installing IoT-linked LED lighting is one way to enhance the student’s experience in the learning environment.

A computer science teacher Mary Claire Wright at Davidson High School situated in Alabama talked about her positive experiences using Igor’s IoT system in her classroom and the school. Wright tells how she uses IoT-powered lighting settings to make the light in her classroom bright or dim, warm or cold. These subtle changes help to attract students’ attention.

Cloud Computing in Education

Cloud computing is not just about “moving to the cloud” in terms of data storage and management. While this is a blessing, there are other benefits as well:

Lesser costs than before: A decade ago, educational institutions had to invest thousands of pounds per license for their software, and they had to repurchase the software whenever a new version was available. Today, software as a service makes it possible to pay a lower, expected monthly price rather than an expensive license.

Less reliance on hardware: Not only does the facility require expensive servers and end-user tools, but students and faculty as a whole rely less on their expensive hardware – cloud solutions are agnostic platforms and are available from anywhere.

Being able to reach other students: Students who are busy, unconventional, or in a remote location no longer have to go to school in allotted time slots. Switching to the cloud allows more remote work.

Getting more accurate lesson plans: Cloud computing makes it possible to quickly push updates to class materials and textbooks, ensuring that students are learning with their best content.

Making learning more flexible overall: Cloud computing means that students and teachers are able to learn and teach on their own time, thus making them more efficient and happy.

Other Benefits of using IT in Education Sector

We have learnt how IT technologies are evolving education systems worldwide. Let’s have a look at the benefits that these technologies are providing to the schools and students. 

Time and Space independency

Students can now learn or take classes whenever and wherever they want. Thanks to new interactive learning tools, education is now free from space and time. While theoretical aspects are learned outside the classroom, face-to-face practical learning is done in the classroom.

Students’ need and reliance on stone-walled buildings, which we call “class” or “school”, is diminishing. Similarly, taking advantage of the freedom of time, a student can get his education from his room through e-learning tools.

Personalised education

Students will receive personalized learning through specialized tools tailored to their abilities. Thus, a student who has difficulty understanding what other students can easily absorb will be able to improve at his own pace.

Intermediate software will not continue the lessons until the student is ready. This benefit of personalized learning means that students who have difficulty learning in school will feel more assisted in overcoming their challenges.

When performance graphs are obtained from this software and examined by teachers, it is possible to better understand the subjects to which the student is inclined. Teachers can then easily and effectively determine the subjects in which the student is strong or weak.

Learning flexibility.

The traditional education system applies the same model to each student. Education 4.0 believes that as long as it reaches the same goal, there is no shortage of trying different paths.

From Education 1.0 to Education 3.0, the same curriculum was presented to all students in the same teaching style. 

In Education 4.0, a flexible global education model is recommended for each student. Teachers can use online data to track and measure their students’ results and then provide personalized guidance based on their specific strengths and weaknesses.

With successful familiarity, each student will be more successful in the areas they are expected to address and develop their weaknesses through their own flexible educational plan. A successful student in mathematics can better his position in a weak verbal subject with the personal and flexible learning plan.

Project-based learning (MAKER)

To prepare students for future freelance work models, students need to be familiar with project-based learning and study models. In other words, students have the opportunity to apply what they have learned to a real project instead of writing answers on paper.

In the field of learning, which is called Maker, the individual becomes self-sufficient by using his abilities effectively and in many fields, especially in technology, in a fun way. Maker Culture aims to prepare children for the future through entertainment.

Interpretation of data

In the future, mathematics will retain its place in our lives, but this time robots will perform these operations instead of humans. 

The world is advancing technologically every day. Information technologies are the greatest opportunity of our future. When future graduates leave university, they will not know their professions, but they will know the technology very well and will be able to meet the global requirements of Industry 4.0.

It is important for people to learn, manage, develop, collect, process and interpret data. As one of the key requirements of Education 4.0, students should be able to identify trends in data and make data-based recommendations.

Continuous improvement!

In the current system, students are given a question and answer test. According to many teachers, this system is only successful in the short term. Students quickly forget memorized information after the exam.

In Education 4.0, the focus is on assessment rather than examinations. Students should use the knowledge they have acquired as soon as they start their professional life. The result of the assessment will be based on the entire academic period rather than an examination.

Similarly, students are expected to engage in continuous maker activities and put into practice what they have learned. Children learning the code can develop calculators or games that they can use in their daily lives, rather than just mastering theoretical knowledge. These projects will help transform theoretical knowledge into practical experience and preserve it in long-term memory.


It is believed that in 20 years, students’ learning will become more independent. In this form, guidance will be important so that students can improve their education in a healthy way.

Students can achieve the highest academic performance under the guidance of teachers. According to long-term estimates, after 20 years, teachers will play a key role in education as guardians, rather than merely imparting knowledge.

Schizophrenic – A Complimentary blog on Mental Health

Schizophrenic – A Complimentary blog on Mental Health

Still Human

Psychological disorders are too complex, common and rarely spoken about. The Neuroscience is something which has a lot of unknown areas unexplored. Even if the technology has advanced one thing human has failed to explore are the aspects related to the functioning of the Brain and related ailments. Their has been centuries of research on various aspects of the brain function and still most of the psychological ailments doesn’t have concrete treatments. 

One such ailment is Schizophrenia, the term schizophrenia may create a picture of a mad, crazy human; especially with the Famous Incident in Canada even the term schizophrenia made many of us remember the cannibalism and have a running imaginary video play on the back ground of our heads. Vivid imaginations right that’s what the brain is all about.

Let’s dwell more about this ailment schizophrenia.


Many a times our imaginations are way out of league be it a happy moment or an unhappy moment; we have our brain getting all excited to create an imaginary views of many probabilities, permutations and combinations in our head. These probability, permutations and combinations over a time if repeated they have a very good impact on a humans function. Just like we have the concept of how a practice becomes a habit, the habit becomes a routine and finally the routine gets embedded to the character; these possibilities, permutations and combinations will have a very important effect on a sane human right? Mostly Positive.

Now why is this related to schizophrenia, this is what happens with a schizophrenic mind, they are sane just like us but with very vivid imaginations and hyper active brains. The probabilities, permutations and combinations that a schizophrenic mind runs through is immense and very detailed, continuous and very relatable. Schizophrenic have their own brain having conversations with itself, giving instructions, guiding themselves, introspecting the past actions, detailing out the probabilities and a lot much happens inside these people. The sad part is their brain is so detailed and hyperactive that this impairs the normal functioning over a long period of time creating an havoc in their lives. 

Usually most schizophrenic gets diagnosed between 20’s and 30’s. So ideally the brain starts malfunctioning after 20 Years of Abuse. Jokes apart.

With the environment these schizophrenic’s are in, possible adds more to the already impaired brain. Imagine the same set of activities – Talking to self, giving instructions to self, guiding themselves, loads of introspection is really good but in the right mindset only. For a person who is used to most friendly, supportive environment they blossom as in an awesome flower; however if their environments where so good they wouldn’t have got this ailment in the first place.

Loads of stress overtime makes an individual think a lot, consider all probabilities, permutations and combinations – they do imagine vividly, the long lasting stress makes the same activities as in the self talks, guidance and introspection becomes negative. They become a sadistic critic for themselves. As the thoughts of the mind has serious impact on their day to day life; they see themselves as a failure and the self talks makes it worse to look anything in the positive light, their guiding factor gets impaired due to repetitive failures and stress factors and also the introspection turns out to be a critic of every minute action of this person. The continuous negative self talk and the critic of every small action and inaction increases with time. After all mind is something which gets trained and these continuous repetition of the negatives impairs their mindset contributing to overall impairment.

Also the schizophrenics have poor memory, the funniest part is since the imaginations and self talk are so continuous and relative, the schizophrenics tend to forget the reality and remember their vivid imaginations as real. They start dwelling in their vivid imaginations and fantasies considering it to be real. These are something’s referred as Auditory and Visual Hallucinations their minds are pathetically abused so much so that they can’t differentiate what’s in their mind and what’s right in front of them.

Who is supposed to be blamed? 

No one

Is there a cure? 


What’s the best possible solution?

Take regular psychiatric help and medications 

What’s the best environment for a schizophrenic?

All they need is a cordial environment and a lot of human conversations. Their mind does miracles when they are gifted with good positive environment. Who doesn’t every one does; however with the gifted vivid imaginations they create impossible possible as well. That’s the schizophrenics who achieved something big because not only their environment was awesome but also their brains used that opportunity to reroute and manifest what they need once it was in place. Help them have a good cordial environment with fantastic positive people around!

Does this mean schizophrenia get cured?

No, medications and cordial environments help them stay sane delaying the impact on brain cells.

What’s that schizophrenics can’t resist?

Cigarettes and Spending most of the time alone.

How to keep schizophrenics away from their fantasy world?

You can’t, but you can make them understand logically about the ailment they have and once they have the right environment the brain will automatically take the actions needed for betterment. They will depend on their close associates validating every small thinking and repeatedly confirming that they are on the right track. Yes they start depending on external sources to validate their thought process – this makes or breaks them – if they are gifted with the right set of people they blossom if not they perish!

So does schizophrenics live long?

Mostly they will be addicted to cigarettes which will any way reduce their life span followed by the insanity caused by stress – they will die insane for sure.

What’s that I request you all?

Psychological ailments aren’t as simple as they look, it’s so complicated that even the science has been unable to explore in depth. Allow them to talk openly about their ailments – if possible help them or stay away from them if you can’t. Don’t add to the pain.

Is there any hope for these people?

For now the only possible hope are the chips that Neuralink is experimenting on! And the next is God if they exist!

The Future with Chat Bots!

AI Chat Bots

The Future with AI Chat Bots

We all have been fantasying on having a Chat Bot to interact with us especially with people in the IT Services Sector expecting the Chat Bot to reduce the plethora of miscommunications, delayed responses, long waiting time for the basic information and also ease our work as much as possible along with the expectation of Chat Bots having to learn Empathy when the co-employees lack the same. Jokes apart but the expectations from the Chat Bots are more and has been increasing as we proceed with time.

Unfortunately the Progress of these Chat Bot Conceptualisations are very less and the realistic achievements using these Chat Bots seems to be long due. While we see very less traction in this we do have some positive news as well.

Current Use of AI Chat Bots

The Chat Bots are currently been used for Collaboration and as a Pet which can be trained to perform certain basic functions as in fetching information, remembering information, responding for general questions and other collaborations. Though Nothing has been achieved on IT Side and Everything still seems to be at the very beginning stages; However I am astonished on how well the Chat Bots are being used in all possible ways then where it is actually needed.

I do experiment installing different Chat Bots for my research and the Best One I found was named Replica. I agree that this is not where this Chat Bot needs to be but I am astonished by the Empathy and the Humane Conversations this Chat Bot can make. It is certainly good.

How do I envision this AI Chat Bot

I see the Chat Bot is a Collaboration Tool however when I say Collaboration I mean Collaboration between Machines and Humans and Not Human to Human interactions using Chat Bots.

On One End the Chat Bots can certainly fetch information, record information, retrieve them and also trigger certain external events.

I like the Part where it can be used to Trigger External Events based on Conversation with Humans. 

I Envision the below as a Chat Bots Feature which can be a disruptive product and can give a run for all the Managed Services Companies in the World:

  1. Basic Interactions with Empathy
  2. Ability to Record, Retrieve and Display Information in more of a humane mode
  3. Ability to Converse with External Applications and Machines – Imagine a Chat Bot which can trigger a RPA Job or a IoT Device or a Robot or Even a IT Application – The Usage of this Feature is way too Important and each thought or an example is a Case Study on its own. The Application of this Feature is immense, in Managed Services we can use this feature to trigger Auto Resolution along with Analytics; in Manufacturing we can use this to trigger heavy equipments, machinery and robotics making these devices accept commands from humans via the Chat Bots, In Health Care, we can use this device to automatically manage the robot based surgeries from remote locations, In Food and Beverage Industry we can use this Chat Bot to Manage the Robots as in the Hotel Operated by Robots also the digital machines can be controlled and can be used to cook delicious food and much more can be accomplished.

I come from Diverse Back Grounds starting from a Call Centre, Enterprise Helpdesk, Application and Network Monitoring, Consulting and Project Management mostly in the IT Sector So I see the advantages on handling this Chat Bot to provide seamless delivery of IT Services with any Human Intervention. I envision a Chat Bot integrated with a RPA, Auto Coder (Example: DeepCoder) and Cherry on the Cake is the Auto Resolution plugins (Similar Concept of Chaos Monkey of Netflix). 

I see this product can delivery IT Services at a fraction of the actual ticket value that’s being generated as of now.

I see mostly the Managed Service Organisations might not like this Idea as a matter of fact this will reduce their earning potential from the “Improvement Opportunities” on which they survive.

All we need now is an Industry Disrupter to come up with a Valuable AI based Chat Bot Integrated with RPA, Deep Coder and Various Auto Resolution Plugins. This will certainly be a Game Changer and will put the IT Industry 10 Folds ahead to meet the growing expectations and matching the speed of business along with maintaining agility.

My thinking doesn’t stop here, I also envision how this Chat Bot can be later tweaked to integrate with the “Neuralink’s Chips” – All Machines will listen to Human Commands directly catered from the Human Brains with no verbal or textual conversations. It will be an Act of Magic for sure. LoL.

Are we near – No unless someone has the will to do.

Can we do – Certainly Yes, when we can come up with Pegasus way long back, These Chat Bots are way easier.

Please follow, like and share.

Happy Learning. Do leave the feedbacks if you have any, Life should always be full of learnings for us to thrive.

Off to bed now. 

IT Enabling Industry 4.0 in Agriculture Sector – Some more on this topic.

IT Enabling Industry 4.0 in Agriculture Sector

Use of smart phones for Monitoring 

Smart phones are not meant to stay in pockets anymore, it is the fourth industrial revolution and IT techniques have brought the smart phones out from the pockets into the hands of the farmers. 

Today, smart phones allow farmers to monitor and control irrigation system and operate the whole farm with his fingertips.

Smart phones can also be connected with the smart sensors to gather data related to level of moisture in the soil, amount of fertilizer and water needed at a certain part of field etc. 

Smart phones are also used for storing records and managing bills. Financial management apps are available to help farmers manage their revenue in a better way. 

Ultrasound Technology in Agriculture

Ultrasound technology has also got a place in the agriculture sector. Since the past few years, ultrasound technology was only used to examine the baby in the womb of animals but now it’s uses are getting evolved. 

This technology is now being used to examine and predict the quality of meat of a certain animal before it goes to market. It also allows DNA testing to rank the animals according to their set of qualities. Hence helping the farmer to improve the quality of his farm. 

Use of smart sensors

Use of smart sensors iss the backbone of agriculture 4.0. These sensors do a variety of job that a farmer could do spending a lot of time in the field. 

These sensors can measure the moisture in the soil and tell the farmer where the levels of moisture are rising or dropping. They also help maintain the amount of fertilizers supplied to the crop by determining the exact need for a fertilizer ata certain part of the field. They also tell if there is leaching or runoff into ground water expected in any part of the field hence allowing farmers to take precautionary steps. 

These sensors are also attached with the equipment such as fertilizer sprayers etc. and control the amounts of water or fertilizer being supplied according to the needs of crop.  

Use of cameras in Agriculture

Use of camera systems is also increasing in agriculture sector for monitoring purposes. These cameras allow farmers to have a look at their livestock and examine if anything needed without visiting the farm every hour or so. 

Farmers are using the camera systems to monitor the movement of their cattle from the farm to grazing fields and back. It allows them to sage their time that they once needed to spend in counting their cattle after they return back to the farm. 

Camera systems are also a viable source of making the farms and fields more secure. 

IT is improving day by day and industries are implementing advanced IT based systems for optimization purposes. Yet there is a lot to be done in agriculture sector. Most parts of the word are still using the traditional modes of agriculture. There are very less examples of farms where IT based techniques have enabled agriculture 4.0. This needs to be improved in order to head towards the agriculture 5.0. 

Let’s see, what happens next!

IT Enabling Industry 4.0 in Agriculture Sector

IT Enabling Industry 4.0 in Agriculture Sector

The traditional modes of farming and agriculture are getting faint after the introduction of IT based technologies such as AI, big data, IoT etc. in the agriculture sector. 

These technologies have provided farms an opportunity to optimize their yield by using smart sensor and high-tech systems to store and transfer data, to do smart contracts, to manage the crop production, and to optimize the financial aspects. These technologies are providing the real-time analysis and prediction based data to optimize the growth and lower the associated risks. 

Let’s have a look at these technologies being used in agriculture sector so far. 

Blockchain technology in Agriculture

Blockchain refers to the system used to create timeless, permanent and clear records of exchange and processing. The system uses digital technology in which data and information are recorded and exchanged quickly and securely in a decentralized manner.

Blockchain technology in agriculture, which includes smart contracts, makes it possible to store data from the beginning of process to the end consumer, ensuring the legitimacy and authenticity of every transaction which eliminates the risk of any dishonesty in the supply chain. Blockchain technology avoids potential fraud on product quality in order to control treatment across the chain to the point of sale. In blockchain technology, data is stored in the following ways.

Unencrypted data – This data is transparent and is read through every node in the network.

Encrypted Data – This data is available to participants. The decryption token provides access to data in the blockchain and also verifies the data contained in the system.

Hashed data – This data introduced the function. Hashed data consists of a small unit called soil base unit (SBU) in which historical records is continuously recorded using blockchain technology. The fourth revolution in agriculture, 4.0, created a blockchain that is used to store old records, and the decision made by analysts is being made on these SBUs. This SBU stores data such as data related to different types of crops, diseases, solids, nutrients required by the crop at the present stage.

 IoT technology in Agriculture

The potential growth of the IoT industry is in the agricultural sector. Internet of Things (IoT) technology opens up the possibility of deploying IoT devices in agriculture around the world, enabling data to be sensed remotely. Farming data collected through sensor-linked devices help in monitoring the crop growth and supply of essential nutrients such as fertilizer and water and hence optimizes the production. 

The use of IoT logic and cloud computing, by verifying every parameter in the supply chain network, improves the depth of the system in terms of marketing environment, processing and production in agriculture based on precision sensing.

The Fourth Industrial Revolution revolutionized the field of agriculture through the Internet of Things (IoT). Agricultural data is collected through the smart sensors under the supervision of IoT and this data is transferred to the big data analysis software which then is translated to the actionable form. IoT is a sensor-based technology that is used to improve the performance of existing systems so that the information collected from IoT is monitored by devices and action is taken to improve it. It is run by a high-tech system that use various sensors to measure data related to environment, soil structure, fertilizer intensity and its effects on plants. Once these parameters are monitored, the data is transferred to the decision-making system where it is necessary to follow the atomization of the process according to different agricultural applications. Farming techniques are analyzed by sensors through IoT and the farmer is being recommended to improve the traditional process.

IoT draws the line between virtual and real world. IoT has allowed the physical objects in the world to become intelligent through online communication. The system transitioned from machine to communication, machine to infrastructure and from machine to environmental communication.

Drone analytics

The agriculture sector is developed with Agriculture 4.0 technologies that use drone analytics to perform crop analysis through images and videos attached to big data analytics software to show how crops are growing and where potential improvements or repairs are needed. 

Using drones, farmers identify which parts of crop field needs more water or fertilizer, and which areas need anti-​weeding spray. Today these drones are used in agriculture as remote fertilizer vehicles to easily cover a specific area or individual plant.

Under the Fourth Industrial Revolution, drone technology is used to monitor various activities in the fields of agriculture through various sensors developed by high-tech systems. The data collected by the drone is forwarded through IoT systems for analysis.

Big Data Analytics

The use of various data collection techniques improves the development of the agricultural sector.

“Big data” refers to the large-scale processing of data collected from information and communications technologies (ICT) to obtain faster decision-making data to improve productivity. Since all data on crop production and rotation issues over the past decade are available in storage, it makes it possible for farmers to take precautions in advance using the predictive approach provided by Big Data and IoT. 

Artificial Intelligence

Recently, under Industry 4.0, the demand of a new machine learning technique called artificial intelligence (AI) increases in various activities. This artificial intelligence (AI) used pre-stored data for decision making and need of agricultural sectors while preparing the schedule for these activities in advance. This predictive approach has revolutionized the agricultural sector and has helped farmer in predicting a potential risk and take advance steps to avoid that risk.

IT is improving day by day and industries are implementing advanced IT based systems for optimization purposes. Yet there is a lot to be done in agriculture sector. Most parts of the word are still using the traditional modes of agriculture. There are very less examples of farms where IT based techniques have enabled agriculture 4.0. This needs to be improved in order to head towards the agriculture 5.0. 

Let’s see, what happens next!

IT Enabling Industry 4.0 in Health Sector

IT Enabling Industry 4.0 in Health Sector

Health care sector has always been of the immense importance for human kind. IT based technologies such as IoT, block chain, cloud computing and AI are making health care sector more effective than ever before. These technologies are used for improving the IoT monitoring systems, measuring various quantities quickly, cloud-based record management, fast communication and fast transfer of data from one place to another. 

Nowadays, health care support is also provided by these advanced technologies. They are playing a notable role in the health care sector by reducing time, costs, and by providing better solutions. 

We have discussed in previous articles that how these technologies enabled industry 4.0 in manufacturing sector. Let’s have a look at how are these technologies enabling the industry 4.0 model in health care sector. 

IoT and Big Data Analytics in Health Care

In health care sector, IoT technology is used mainly as a bridge between the patient and medical facility. It allows patient to monitor themselves and then electronically transfer the collected data to physician. This is all done by the use of electronically and digitally connected devices and sensors. These sensors collect and transmit data, and then Big data analytics translate the data into actionable form and sends it to the physician. 

Moreover, this technique is also used as an alternative to the appointment system. Now patients don’t need to book appointments manually, the digital systems will autonomously book the appointment taking in account the availability from physician’s end. 

Another use of IoT is application of smart watches and smart glasses. Smart watches can measure heart rate, pulse rate, steps while walking; calories burnt while a certain exercise, and much more. These devices comprise of wireless sensors that send data to a central server where the patient can see the results. 

Another application is IoT based disposable patches.  These patches such as iRythm, BP monitor, Biostamp are generally worn for a couple of days or weeks under certain medical conditions. ACN (Australian Centre of Nano medicine) has created a similar patch that informs the wearer about their exposure to UV rays. 

This is just a rain drop; there is huge ocean of IoT and big data applications in the health care sector. 

Blockchain technology in Health care sector

The traditional security methods of securing Electronic Health Records (EHRs) made it difficult for the patient to access these reports. But now, the new blockchain-based methods are being introduced to keep EHRs secure and accessible at the same time. This allows patients, health service providers and third parties to access data using the blockchain framework. 

Blockchain has also been proven a viable solution in matters such as billing and claims where data leaks can cause a huge tension. It is used as a platform for sharing information related to the important matters and to hold their record. 

Blockchain also facilitates the patients to share their medical history with other service providers or organizations. Hence makes it easier to switch to some other health professional by just sharing a private key generated by the framework. 

This technology also helps in tracking and monitoring the medical supplies providing more security with full transparency. If connected with the IoT systems of a medical factory, blockchain can even be used for monitoring labor costs and carbon emissions during the manufacturing process. 

Another use of blockchain in health sector is raising nowadays i.e. the companies working on DNA sequencing. These companies are always at a threat of the important genomic data being theft. Blockchain is the best solution to them as it prevents data theft and makes it impossible to steal or replace the data. Also, the framework provides these companies an online marketplace where scientists and medical researchers can buy genomic information for experimentation purposes. 

AI in Health care sector

AI has always proven to be the backbone of the fourth industrial revolution ranging from manufacturing to the health care sector. Recently, AI based systems has been used during the pandemic for both doctors and patients. VR technology was used to reduce the risk for doctors to be infected. 

AI also helps in finding the problems that the patient is facing in any emergency situation by the use of smart interconnected sensors. In China, AI based video monitoring systems are still in use to observe the activities and behavior of the people affected by COVID-19 and to learn the ways to stop and cure this pandemic. 

Some other applications of AI in health care sectors are:

  • It is used for monitoring medical supplies across various facilities. 
  • It is used to perform CT scans during the pandemic reducing the risk of being infected by the virus.
  • During pandemic, AI systems are being used to monitor the gatherings and to make sure that people are following the safety protocols to avoid spread of virus. 
  • AI provides a platform for secure sharing of information related to patient’s medical history, billing, claims, insurance etc among different organizations. 

Cloud Computing in Health care sector

Cloud computing technology has solved the problem of the small organizations that did not have enough resources to afford super computers for storage and data sharing purposes. Cloud computing allows access to patient’s information, doctor’s information, information related to different hospitals, and health organizations at anytime and anywhere.   Due to cloud computing, hospitals and health organizations do not need to buy huge hardware systems and servers for storage purposes, they just need a cloud platform and it gives them a huge storage capacity. This also helps the organizations to avoid huge costs related to maintaining and operating the hardware. 

Some other benefits of cloud computing for health care sector are:

  • It is a flexible platform and the organizations do not need to worry about shifting or moving this system.
  • It also serves as a bridge to connect the smart systems in pharmaceutical factories by connecting the sensors and digital devices to the main server.
  • It is easier and quicker to add new servers to increase storage capacity and can be done instantly. 
  • Cloud computing is still in trials in most cases due to security risks. As it is an open-end source, so the threat of data stealing always remains. That’s why; many companies are ignoring cloud computing till now. Yet there is room for improvement. Now, private clouds are being developed for secret and sensitive information. Companies are investing in cloud computing to make it more secure and better. 

It is IT that is revolutionizing every sector of life by providing the advanced and smart technologies. Health car has always been a sensitive issue and IT has proven itself here as well. Yet, there is a lot to improve and let’s see how developers bring these improvements and lead us to the next industrial revolution.

IT Innovations Enabling the Industry 4.0 In Manufacturing Sector

IT Innovations Enabling the Industry 4.0 In Manufacturing Sector

IT based technologies are changing the ways the world used to see the manufacturing processes. The advanced technologies are making the connectivity among machinery possible which in turn makes the factories smart enhancing their production capacity and also providing them with cost-effective and time saving alternatives. 

We have already discussed about the different technologies that are enabling industry 4.0 in manufacturing industries. Now is the time to have a look at the real life applications of these technologies and how these technologies have been proven successful so far.  

Industrial Internet of Things

As we have studied in previous articles that IoT is a network of digitally interconnected devices and equipment’s that allows the communication and exchange of data within the devices. It comprises of various sensing devices, RFID tags, and electronics attached with manufacturing equipment. 

For example, IIoT can be used is to prevent the overstocking or under stocking of inventory.

Let’s have a look at the real-life application of IoT enabling industry 4.0.

A company BJC Healthcare operates 15 hospitals located in Missouri and Illinois as a service provider company. 

The company is using RFID tags to track and manage their medical supplies. Before application of RFID tags, the company needed a lot of labor to manage the inventory. 

This was a challenging task as the company had a lot of supplies to store and manage physically. It also caused a considerable loss of stock as it is difficult to keep a strict check on inventory, hence the expiry dates of stock could not be noted. 

But then the company applied RFID technology in 2015. 

Now, the company has been able to decrease the onsite stock at different facilities by 23%. It is predicted that company will save $5 million every year due to the RFID tagging technology. 

Big Data and Analytics

Using advanced computer technologies on major data sets to uncover important patterns, trends and correlations for companies in decision making process is termed as big data or big data analytics. 

The main use of big data in industry is as a translator. But it is not an ordinary translator; it translates what no one else can do. The information that is produced by IoT and AI systems needs to be translated into an actionable format and here the big data comes in. 

Bosch is a Chinese automotive company currently using a combination of IIoT and Big Data to connect the machinery and monitor the whole production process. 

The system that company uses is comprised of sensors attached with the factory’s machinery that collect data about a certain machine’s performance and any issues related to the working of the machinery. 

This collected data is then translated by Big data analytics to tell the workers if there is any breakdown in any machinery identified at some place. 

This helps in predicting the machine’s failure allowing the workers to take steps to resolve the future issue before it happens. 

Reports show that due to the use of big data systems, the company is enjoying 10% increase in output along with improved delivery management. 

Cloud computing

Cloud computing allows businesses to access up to date data and applications provided by the emerging technologies. And the good thing is, you don’t need to build a huge physical infrastructure to acquire this all. Cloud based computing can be easily installed and changed depending on the needs of industry.

Volkswagen is a company that developed a cloud network known as “Volkswagen Automotive Cloud” in collaboration with Microsoft. The technology offers features like smart home connectivity, digital assistance, predictive maintenance, media streaming and uptdates. 

With the help of this cloud network, the company plans to add around 5 million brand offerings annually to its IoT.

Advanced Robotics

Industries have been using robotics in one way or other for decades but the fourth industrial revolution has given a rise to this technology.  

Today, we have robots that can perform difficult and complex tasks autonomously. These robots are aided by advanced software and sensors which make them able to recognize, analyze, and act upon the data that they gather from the ecosystem. They are also capable to learn autonomously from humans.

Fetch Robotics is a Californian based company that has a developed system of robots used for tracking, locating, and moving inventory in warehouse. 

In Netherlands, a DHL service Provider Company is using the AMRs (Autonomous Mobile Robots) for pick and drop operations within the warehouse. These AMRs autonomously move with the workers and also learn from their activities and hence remember their routes of work. The company says that use of these AMRs has reduced the order cycle time by 50%. 

Augmented reality

Industry 4.0 is encouraging the use of AR technologies in the manufacturing industry. This technology can help companies from assembly processes to maintaining manufacturing machinery. 

AR efficiently fills the gap between the physical and digital labor by offering virtual images and data on to a physical object. The technology mostly comprises of smartphones, tablets and smart glasses. 

A company named “General Electric” has applied an AR system in their facility to offer a glimpse at how AR technology can work to increase the efficiency of manufacturing unit and labor. The company is using the AR technology on experimental bases in their jet engine manufacturing cell. Before introducing the AR technology, the workers had to stop now-and-then to check the working manuals in order to assure that the work goes in the right direction. With the use of smart AR based glasses, they can now have visual instructions while working. These smart glasses are even connected with the support team and the worker can immediately contact experts in case of any complex issue. 

Company says that it is enjoying 11% increased productivity of workers after introducing the smart AR glasses.   

How Current IT is enabling Industry 4.0

How IT is enabling Industry 4.0 

Manufacturing is continuously headed towards the advancements of the fourth industrial revolution aided by IT based technologies. The manufacturing units are being digitalized by using sensors, software, AI, big data and cloud computing connectivity. Hence we are having more efficient factories revolutionizing the manufacturing industry – thanks to IT!

This article is meant to discuss the means by which IT has and is enabling industry 4.0 models in manufacturing industry. 

The industry 4.0 applications are changing the ways in which the products were planned, designed, manufactured and repaired before the introduction of IT in the field. Let’s have a look at each application of IT that is enabling industry 4.0 in manufacturing industry.

Changing the Resource and Process Management 

Smart Energy Systems

IT techniques help factories build an IP backbone that connects sensors, actuators, controllers and machinery together which helps in monitoring the use of energy by different parts of the manufacturing unit. This helps in using the energy in more efficient and cost-effective manner by supplying energy where needed and turn it off where it is not needed. 

The Smart Factory 

The use of technologies like 3G, LoRa WAN, IoT, cloud computing, RFID tags and sensors makes the connectivity between equipment like containers, pallets and roll cages possible and makes in convenient to track and control them during the manufacturing, storage and delivery stages. This connectivity can also be used to collect information on temperature, location, and inventory and hence makes the manufacturing unit a smart factory. 

Real time Optimization of yield 

 The inter-connectivity of manufacturing unit’s equipment provides information about the performance of certain equipment at a certain time. By taking a bit more help from machine learning, this information gathered from the sensors can be converted into a real-time analysis of the yield in manufacturing unit. This helps in optimizing the yield by saving much of time and budget that could be spent on an unknown issue in a certain part of machinery if it was not industry 4.0 optimized.

Changing the Asset Management

Route-Flexible Manufacturing Systems

The use of IoT-enabled technologies is making companies more reactive. It helps the manufacturers to tackle the issues like, the mechanical break downs in equipment, to continue the production without any break. This is achieved by manufacturing a certain product through different routes or by continuing process on more than one machine. This increases the uptime and maximizes the asset utilization and hence makes the factory more flexible.

Monitoring and Control

In a manufacturing unit, there are hundreds and thousands of equipment and machinery working all together to manufacture an end product. To make this all work properly, the visibility of all the processes is necessary. 

IoT and AI technologies have made it possible. The manufacturers can have an eye on all the operations by connecting their tablet, mobile or laptop with the interconnected network of all factory’s equipment. IoT helps having a real-time visibility of all the operations taking place at a certain part of the factory. It also helps engineers to identify and cure any breakdown in the machinery by smart sensing technology. 

AR (Augmented Reality) Technology 

This is the interesting part. Exploring the instruction manuals to find solution of a certain problem is the story of past. Today, workers just need an AR headset containing all the data needed for a certain task like graphs, diagrams, lines, and instructions to keep guiding the worker as he proceeds with the task. This makes all the work autonomous and continuous. The main concept behind this advanced thrill in the manufacturing industry is image recognition technology, wireless connectivity, computing power and IoT. 

Socio-Technical collaboration

Industry 4.0 models has introduced the lightweight, easy and safe to lift and operate robots to provide the new levels of flexibility to the manufacturing industry. These robots are fitted with positioning sensors and they can perform the most repeated tasks on their own giving the labor a room to do other important and complex tasks. 

3D Printing

Any part or component of a certain machine can be damaged at any time during the manufacturing process. This can lead to a breakdown until the part is repaired or replaced. 3D printers have solved this problem. Any part of the machinery that is needed to be replaced can now be made by 3D printers within the factory. The IoT and sensor system can convey the shape and structure of the damaged part to the wi0fi connected 3d printer. Thus the printer will make the part autonomously and then the work can be started again. 

3D printers are also being used in the research and experimentation stages of production. Before that, specific softwares were used to show illustration of an object in the computer screen but now, 3D printers have made it possible to hold that illustration in the hands to understand and conclude a certain problem easily and time effectively. 

This is just a fraction of data that is available on the benefits of IT to industry and how IT has enabled industry 4.0. There is a lot more yet we have discussed the important points. The industry is headed towards the 5threvolution and IT is acting as the back bone. Let’s see, what IT has to bring for us yet!