The industrial internet of things (IIoT) has become very popular in industries across the globe. With robotic automation systems in the automotive sector, IIoT offers a great way to vehicles’ connectivity and new capabilities.
The Industrial Internet of Things (IIoT) is the next level of innovation to connect the world and to optimize the machines. It also refers to the connection of billions of devices like sensors, gateways, electronics, actuators, and much more.
Further, these can interact and make a connection with one another over a wireless network. Further, the connected machines can also share data with each other with no intervention of humans.
The use of sensors, advanced analytics, and artificial intelligence will transform the connection between field assets and enterprises in a big way.
Benefits of IIoT in the Automotive Industry
The potential of IIoT for the automobile industry is really immense. Here are the benefits of IIoT for the automotive industry.
Connected
One of the latest trends shaping the future automotive industry is connectivity in vehicles. These cars or trucks can communicate with other devices on the road or in the vehicle through the internet.
Further, a connected vehicle can accomplish a myriad of tasks and makes driving easy for a novice too. Also, it warns you about the traffic on the road and helps find a safe route as well.
Some automotive industries are working on providing amazing apps for automatic car parking in a tight spot or a narrow garage.
Autonomous
Autonomous vehicles are the future of the automotive industry. With the arrival of 5G and AI advance technology, companies are working on the creation of autonomous cars and trucks.
It is assumed that autonomous cars will reach60 billion US dollars by 2030 and will become a large market worldwide.
Electric
Day by day pollution is increasing which causes big harm to the environment. Therefore, fossil fuels are not good for the environment. Also, everyday increasing prices of it can put immense pressure on your pocket.
This is why the demand for electric vehicles is increasing. IIoT can transform electric cars in a big way and make them future-proof vehicles.
AI Complements the IIoT, along With 5G
Another advantage of the high-tech IIoT automotive robots is that many of them offer predictive maintenance. You will get advance alerts about any problem and can get them to fix before major shutdowns happen.
Artificial intelligence (AI) is often a primary part of detecting potential problems in your smart vehicles. 5G will make AI even more capable and smarter than ever. It is due to the low latency and high speed.
However, AI and 5G alone are not enough. Automotive companies need to merge AI and 5G with IIoT technologies to use the information they gather in the best possible way.
Using IIoT data, AI allows the machine to learn as well as adapt, enabling continuous system development. Therefore, when merging AI technology with IIoT, auto-driving vehicles become a reality on roads.
Conclusion
The Industrial Internet of Things (IIoT), along with other disruptive technologies like 5G, is revolutionizing the complete automotive industry.
With the 5G rollout around the corner, the present smartphones have become an old tech. According to Statista the technology will be global and cover even the Asian countries by 2025.
And considering 5g can offer a speed of almost 959 Mbps, there is no way your current 4G smartphone will handle the networking technology.
Best 5G Phones 2021
Thus, you will need a 5G-enabled phone, sooner than you think. The following are top models that you can currently buy.
iPhone 12
Launched on 14 October 2020, the iPhone 12 was the first of the 5g phones that got popular. The phone came with a 2775 mah battery, 6.1 inches screen, and a very powerful bionic processor.
The next-gen iPhone also offers MagSafe that reduces the risks of wireless charging. Ads for features like camera, operating system, and app support, the phone is without any doubt better than all the previous iPhones.
The 8 edition of the popular one plus phones also came with 5G networking technology. The modified Android devices offer the user a 4510 Mah battery, 6.7 inches screen, and an octa-core processor. It’s a Snapdragon 865 with a speed of 1×2.84, 3×2.42, and 4×1.8 GHz.
It also had an ultra-wide 48Mp camera that clicked crisp photographs. The phone is excellent in both UI and gaming performance.
Xiaomi MI 10
When it comes to technology and reliability, Xiaomi has always stood-out. The company offers devices that are low on cost and yet have all the advanced features. So, when the Xiaomi 10 rolled with 5G technology, it wasn’t a shocker.
Apart from 5G, the phone also offers the users 6.67 inches screen, 108 mp camera, 8 Gb Ram, and a very powerful 4780Mah battery. It also has a snapdragon 865 octa-core processor, same as Oneplus 8 Pros. Thus, you can expect brilliant speed and performance.
You can also consider its updated version the Xiaomi 10i. This variant comes with decent RAM, processor, and costs a little less.
Moto G
The latest edition of the Moto G series is one of the least expensive 5G devices in the market. It cost almost one by fourth of what an iPhone cost and half of what Oneplus8 will cost.
But, the device is still sturdy and reliable. It offers you a Snapdragon 750G processor that has eight cores. You can expect a speed of 2×2.2Ghz and 6×1.8 GHz.
It also has a triple rear camera of 48+8+2MP and a front camera of 16MP. Then there is the 5000Mah battery and 6.7 inches screen.
Galaxy Note 20 Ultra
The galaxy note 20 is yet another advanced device by the globally recognized brand Samsung. The device came out on 10 August 2020 with a Snapdragon 865 processor.
It offers you an octa-core speed of 2×2.7, 2×2.50, and 4×2.0 GHz.
The Samsung device also provides a powerful battery of 4500 mah, and an Android 10 operating system. It also has a screen of 6.9 inches making it ideal for web browsing, gaming, and every other function.
Final Words
The list of 5g devices is expanding and while these devices are top-notch, they aren’t the only option. So take time and explore more before making a purchase.
The invention of AI has proved to be a bliss for business operating in almost all industries. Statistics demonstrate that an increasing number of organizations are employing this advanced technology within their business operations. So, the applications of artificial intelligence is increasing rapidly.
The market size of AI was valued at approx. $27 billion in 2019, and it is projected to reach about $267 billion by 2027. Businesses worldwide are leveraging the power of AI to optimize their processes and earn higher profits.
Applications of Artificial Intelligence
Though AI is applicable to all industries, some major ones are explained below:
The combination of AI and machine learning (ML) is slowly reinventing the HR world. The sector can benefit from these technologies for two main reasons:
There are surprising amounts of top quality data in the field.
HR departments in companies feel essential as well as the pressure of time.
AI can automate some aspects of the recruiting and HR job, freeing professionals to focus on other things like onboarding, training, etc. This can also streamline and improve processes for betterment.
#Intelligent Cybersecurity
Cyber attacks on businesses are massively growing and evolving. Depending on the size of your company, there are countless signals that must be analyzed to evaluate the risk.
Unfortunately, this is not a human-scale problem anymore. In response, AI-powdered tools have emerged to help intelligence and cybersecurity teams to work efficiently and effectively.
Using AI, companies can easily detect vulnerabilities in business applications like Financial or ERP systems. For instance, some of the world’s most protected airports use this technology to analyze your identity when you are on your way to it. This saves security personnel time while making them proficient.
#Healthcare
A research report by Healthcare IT News showed that 63% of research subjects agreed that AI and ML would provide excellent value in all specialty care departments.
In the coming few decades, AI is going to reinvent the healthcare industry. The technology helps the industry leverage the data at their disposal and improve patient outcomes to a greater extent.
AI enhances predictability, reliability, and consistency when it comes to service quality and patient safety. It’s true that technology cannot replace doctors, but it makes them more efficient and effective by taking their cognitive burden.
# eCommerce
AI provides a competitive edge to eCommerce businesses, especially because it fits these companies’ size and budget.
The technology uses ML to automatically tag, organize and visually search content by labeling features of videos and images.
At the same time, AI helps buyers quickly discover products based on their preferences for colors, sizes, shapes, and even brand.
Its visual capabilities ease shopping online, thus improving customer experience with eCommerce stores that leverage this evolving technology.
Final Words
Today, every business uses this technology in one or another way. Besides above applications of artificial intelligence, its uses cover businesses operating in industries like retail, hospitality, gaming and betting, manufacturing, to name a few.
Data analytics is an inclusive term in the world of data science. It is the analysis of data collected from one or different sources. Trends, patterns, and correlations emerge from the analytics, which remains valuable for business practices.
Firstly, data analytics allows data scientists to gain insights through careful examination of datasets. Management teams use these insights to make informed and strategic business decisions towards future activities. Without data analytics, all data, no matter the size and derived source, is useless.
Secondly, when companies apply data analytics to any big data collected, they can efficiently improve customer service and increase sales turnover. Companies use this strategy to boost competitive performance.
Two Components of Data Analytics
Image Credit: Medium
Processing data analytics needs two critical elements for any data initiative to succeed. These are:
Descriptive analytics
Descriptive analytics is the starting phase. It helps in describing historical and relevant trends found in the data. This analytics aims to answer the question of “what happened?”
It’s both a component and a type of analytics too.
As a component, descriptive analytics measures conventional indicators like Return on Investment (ROI). Such an indicator employed differs from industry to industry. Although descriptive analytics doesn’t make predictions or informed actionable decisions, it summarizes datasets in an expressive and meaningful way.
Advanced analytics
Here, the process uses advanced and innovative tools to extract relevant data, make appropriate predictions, and uncover trends.
Tools used in advanced analytics include, but are not limited to, machine learning and classical statistics. Machine learning tools like natural language conversion/processing, sentiment analysis, and neural networks, and more, generate new insight and info from data.
Advanced analytics focuses on the question of “What if?”
With the increasing popularity and use of large data sets, machine learning skills, and affordable computing power have made it easier to use these two data analytics techniques in different industries.
Four types of Data Analytics
Descriptive analytics
Image Credit: Medium
What the analytics seeks is the answer to the question, “what happened?” Under this technique, summarizing large datasets explains findings to all stakeholders. Descriptive analytics strategies help businesses to track successful performance or failures using KPI (key performance indicators) and metrics like ROI to gauge past performance.
Diagnostic analytics
Diagnostic analytics is the technique that seeks to answer why certain things happened. The process takes information from the descriptive-analytical level and further studies to unravel the root of the problem. Any performance indicator calls for more investigation to know why they got worse or better.
Predictive analytics
The predictive analytics technique focuses on events that would happen in the future. Using historical data, machine learning, and statistical methods, the study of patterns and trends tracks the possibility of reoccurrence. The outcome will be very valuable.
Prescriptive analytics
The presence of this technique offers solutions to the problem. By employing insights gotten from descriptive analytics, we gain inspired decisions. Also, it relies on machine-learning tactics capable of finding patterns in massive data sets.
Conclusion
Data analytics is a critical aspect of data science that data scientists should understand. Its application in everyday activities is almost endless. New business opportunities arise as a result of the continuous generation of data.
Since the 1940s, Industrial Hygiene has been a profession. When my son came home and told me he was going to be an Industrial Hygienist, I thought he was going to clean people’s teeth in an industrial environment. The more I learned, the happier I was, that he has chosen Industrial Hygiene as his career field.
Industrial hygiene is the science of protecting and enhancing the health and safety of people at work and in their communities. Health and safety hazards cover a wide range of chemical, physical, biological, and ergonomic stressors. Those dedicated to anticipating, recognizing, evaluating, and controlling those hazards are known as Industrial Hygienists.
ABIH
In a nutshell, an Industrial Hygienist ensures workers are healthy and safe.
Industrial Hygienists analyze work environments and work procedures. They inspect and monitor workplaces to ensure compliance with regulations on safety, health, and the environment. They do some or all of the following:
Inspect, monitor, and evaluate workplace
environments, equipment, and processes for safety standard compliance
Prepare written reports incorporating their
findings
Create and implement workplace processes that protect
workers
Prepare and provide training programs to educate
employers and workers
Make recommendations and demonstrate the use of
safety equipment
Investigate incidents and accidents to identify the
cause and identify preventative actions
Industry can be a mixed debate for worker safety. Profit margins are high on the list and are in constant scrutiny. Industry creates jobs, provides economic benefits, especially for the local community.
The industries that Industrial Hygiene professionals can work in are Mining, Factories, Pharma, Construction, Wildfire Management, Environmental, Oil and Gas, and Foundries.
Industries that require Industrial Hygienist
Each of these industries has its illness catalysts:
Respirable crystalline silica and inhalable dust,
coal, mineral, welding fumes, smoke, and other particulate aerosols.
Petroleum-based products including semi-volatile
organic and volatile organic compounds, and liquid, vapor, mist and gas
exposures.
Noise and vibration from production, maintenance
tools, and equipment.
Workers have certain health risks:
Carbon Monoxide, Mercury, Beryllium, and Lead Poisoning
Debilitating Hand conditions
Spastic anemia
Silicosis, Lung Cancer and Pulmonary
Tuberculosis
Mental Illness
On the job injuries including falls and slips
Hearing Loss
Electrical Magnetic Frequency Damage
A good Industrial Hygiene and safety program includes
analyzing and monitoring respiratory protection, confined space, hot work,
hearing conservation, Personal Protective Equipment (PPE), lock-out/tag-out,
and other health and safety initiatives.
The job market is in high demand for Industrial Hygienists.
Median Pay in the United States: $79,940 Annually ($36.03 per Hour)
Number of Jobs: 88,390 with a growth rate of 4% per year (Does not include self-employed)
Expected employment change, 2016 to 2026, 8,600 more jobs
Bureau of Labor Statistics
The general requirements are the following, although some
employers will require more:
Bachelor’s degree in Industrial Hygiene or
related field of study
Ability to work on a team and individually
Time management and strong organizational skills
Adeptness for the usage of specialized equipment
and monitoring instruments to measure various hazards, such as airborne
contaminants or noise pollution
Ability to teach employees and develop training for
workers
Attention to Detail
Capability to create policies and procedures for
safe practices in the workplace
Ability to travel
Strong written and oral communication skills
Ability to study for, receive and maintain
certifications
An Industrial Hygienist at the very minimum requires a bachelor’s degree.
Masters degrees are not essential, but as competition increases advanced degrees will help compete. However, doctorates are necessary for those that wish to do academic research and to become a specialist. Certification is recommended.
The Industry Profile is interesting as well. 35% work in the Federal Government, 41% work
in State and Local government, 40% work in Management, Scientific and Technical
Consulting Services and 16% work in the Management of Companies and
Enterprises. The states with the highest
percentage of jobs are Texas, California, Pennsylvania, Ohio, and New York.
Most of the Industrial Hygienists I have met are very happy with their job. They do not do the same thing every day, and they enjoy helping workers stay safe. In general, they are very intelligent and compassionate and are extremely concerned about preventing the workers in their charge from getting sick.
If you are trying to figure out what career field, I highly suggest investigating this career field.
One of the most life-altering and iconic
events in America’s history is the completion of the Transcontinental
Railroad. The historic event happened on
May 10, 1869. The coast-to-coast
railroad revolutionized settlement of the American West and provided means to
spark growth of the economy.
East and West shaking hands at the laying of the last rail” of the Union Pacific Railroad
All of Utah is preparing for May 10th, 2019. The day marks the 150th
anniversary of the driving of the Golden Spike at Promontory Summit, which commemorated
the completion of the Transcontinental Railroad.
The Golden
Spike is a 17.6 karat gold spike driven by Leland Stanford to join the
rails of the Central Pacific and Union Pacific railroads into the Transcontinental
railroad.
The day will undoubtedly attract many visitors, and some
have predicted over 75,000 visitors to Ogden, Utah on every day of the
celebration.
The Union Pacific Railroad is bringing their newly restored
Big Boy No. 4014 locomotive and the Living Legend No. 844 to Ogden, before the
engines return home to the steam shop in Cheyenne, Wyoming.
On May 11, you can take a tour of the No. 4014 and the No.
844 at the Ogden Union Station. Enjoy other
trains of the heritage fleet in Ogden as part of the event.
On the anniversary date, May 10th, the celebration
moves to the Golden Spike National Historical Park (https://www.nps.gov/gosp/index.htm),
the site where the spike was pounded in place.
A series of activities and events are being organized by Spike 150 (https://spike150.org) to educate and celebrate the Transcontinental Railroad history.
