The Industry 4.0 Advantage

This visceral image of “industry” being gritty and exclusively blue-collar is true to some degree, but when “4.0” is added to it, it takes on a whole new meaning, and blue-collar workers end up believing the narrative that robots and artificial intelligence (A.I.) will delete their jobs.

Though common, this fear is unwarranted. Despite the now-proven Hard Trend that A.I., advanced automation and robotics, 3D printing, and other industrial Internet of Things (IoT) advancements often replace mundane tasks in manufacturing, Industry 4.0 transformations allow us to work alongside machines in new, highly productive ways.

Industry 1.0 to 4.0

Manufacturing in every industry has evolved as four distinct industrial revolutions since the 1800s. The first industrial revolution took place between the late 1700s and early 1800s. Manufacturing evolved to optimized labor performed by the use of water- and steam-powered engines with human beings working alongside them.

The second industrial revolution began in the early part of the 20th century, introducing steel and use of electricity in factories. These developments enabled manufacturers to mobilize factory machinery and allowed for capitalizing on manpower in mass production concepts like the assembly line.

A third industrial revolution began in the late 1950s, which brought with it automation technology, computers, and robotics, increasing efficiency and repositioning the human workforce. Near the end of this period, manufacturers began experiencing a shift from legacy technology to an increase in attention to digital technology and automation software.

The current industrial revolution is Industry 4.0, which increases interconnectivity and networked intelligence through the Internet of Things (IoT) and other cyber-physical systems. Industry 4.0 is far more interlinked than revolutions before, allowing for improved company communication and collaboration.

The general definition of Industry 4.0 is the rise of digital industrial technology. To better understand, let’s take a look at nine building blocks of Industry 4.0.

Big Data and Analytics

Industry 4.0 allows for streamlining, collecting and comprehending data from many different sources, including networked sensors, production equipment, and customer-management systems, improving real-time decision making.

Autonomous Robots

The ability for robots to interact with one another while accomplishing rhetorical tasks increases productivity and opens new job opportunities for employees willing to learn new things. These future autonomous robots will cost less while having greater range of capabilities.

Advanced Simulation

Advanced simulations will be used more extensively in plant operations to leverage real-time data, mirroring the physical world in a virtual model. This includes machines, products, and humans and allows operators to test and optimize the machine settings in the virtual world first, accelerating a predict-and-prevent operational strategy for downtime issues.

Horizontal and Vertical System Integration

Universal data-integration networks in Industry 4.0 increase connectivity among departments, suppliers, and partners. This resolves lack of communication or miscommunication within a project crossing departmental boundaries.

Industrial Internet of Things (IIoT)

Decentralizing analytics and decision making while enabling real-time feedback is key in today’s age. IIoT means connected sensors, machines communicating with each other, and more devices having embedded computing enabling Edge Computing, where networked sensors get new data instantly and automated decisions happen faster.

Agile and Anticipatory Cybersecurity

Secure means of communication and identity management is quite important to cybersecurity in Industry 4.0, as increased interconnectivity brings the risk of security issues. Manufacturing companies must pre-solve problems in cybersecurity and implement anticipatory systems by adding a predict-and-prevent layer to A.I.

Advanced Hybrid Cloud and Virtualization

As data increases, local storage will not suffice, which brings us to Cloud Services and Virtualization. Elements of high-speed data analytics coupled with A.I. and machine learning enable real-time knowledge sharing. Advanced Cloud Services also enable anticipatory predict-and-prevent strategies.

Additive Manufacturing (3D Printing)

Advanced additive-manufacturing methods will be integrated into mass production systems, providing a new level of speed and customization along with the ability to solve complex manufacturing problems while also functioning as a standalone system for custom manufacturing.

Augmented Reality

According to my Hard Trend Methodology, this relatively new technology will gain more traction as augmented reality (A.R.) apps for business and industry are developed. For example, in Industry 4.0, AR can help quickly find parts in a warehouse by looking around from one location.

The adaptation of any of the new technologies in Industry 4.0 will face an uphill battle, as blue-collar manufacturing industries are not often open-minded about embracing new technology often seen as a job eliminator. Embracing the ever-changing spectrum of Industry 4.0 technologies allows acceleration of innovation, pre-solving seemingly impossible problems, and developing and implementing digital manufacturing solutions.
Leaders should help their managers and employees anticipate disruption and change to get excited about learning new skills that will keep them employed and ensure development in their careers. Start with my latest book The Anticipatory OrganizationI have a special offer for you!

Artificial Intelligence: Disruption or Opportunity?

AArtificial intelligence (AI), one of twenty core technologies I identified back in 1983 as the drivers of exponential economic value creation, has worked its way into our lives. From Amazon’s Alexa and Facebook’s M to Google’s Now and Apple’s Siri, AI is always growing — so keeping a closer eye on future developments, amazing opportunities, and predictable problems is imperative.

IBM’s Watson is a good example of a fast-developing AI system. Watson is a cognitive computer that learns over time. This cognitive AI technology can process information much more like a smart human than a smart computer. IBM Watson first shot to fame back in 2011 by beating two of Jeopardy’s greatest champions on TV. Thanks to its three unique capabilities — natural language processing; hypothesis generation and evaluation; and dynamic learning — cognitive computing is being applied in an ever-growing list of fields.

Today, cognitive computing is used in a wide variety of applications, including health care, travel, and weather forecasting. When IBM acquired The Weather Company, journalists were quick to voice their amusement. However, IBM soon had the last laugh when people learned that the Weather Company’s cloud-based service could handle over 26 million inquiries every day on the organization’s website and mobile app, all while learning from the daily changes in weather and from the questions being asked. The data gleaned from the fourth most-used mobile app would whet the appetite of the permanently ravenous IBM Watson and enable IBM to increase the level of analytics for its business clients.

Weather is responsible for business losses to the tune of $500 billion a year. Pharmaceutical companies rely on accurate forecasts to predict a rise in the need for allergy medication. Farmers’ livelihoods often depend on the weather as well, not only impacting where crops can be successfully grown but also where the harvest should be sold. Consider the news that IBM followed its Weather Company purchase by snapping up Merge Healthcare Inc. for a cool $1 billion in order to integrate its imaging management platform into Watson, and the dynamic future of AI becomes more than evident.

The accounting industry can benefit from this technology, as well. When I was the keynote speaker at KPMG’s annual partner meeting, I suggested that the company consider partnering with IBM to have Watson learn all of the global accounting regulations so that they could transform their practice and gain a huge advantage. After doing their own research on the subject, the KPMG team proceeded to form an alliance with IBM’s Watson unit to develop high-tech tools for auditing, as well as for KPMG’s other lines of business.

Thanks to the cloud and the virtualization of services, no one has  to own the tools in order to have access to them, allowing even smaller firms to gain an advantage in this space. Success all comes back to us humans and how creatively we use the new tools.

IBM’s Watson, along with advanced AI and analytics from Google, Facebook, and others, will gain cognitive insights mined from the ever-growing mountains of data generated by the Internet of Things (IoT) to revolutionize every industry.

Advanced AI is promising almost limitless possibilities that will enable businesses in every field to make better decisions in far less time. But at what price? Many believe the technology will lead directly to massive job cuts throughout multiple industries. and suggest that this technology is making much of the human race redundant.

It is crucial to recognize how the technological landscape is evolving before our eyes during this digital transformation. Yes, it is true that hundreds of traditional jobs are disappearing, but it’s also important to realize the wealth of new roles and employment opportunities arriving that are needed to help us progress further.

The rise of the machines started with the elimination of repetitive tasks, such as those in the manufacturing environment, and it is now moving more into white-collar jobs. The key for us is not to react to change, but to get ahead of it by paying attention to what I call the “Hard Trends” — the facts that are shaping the future — so that we can all anticipate the problems and new opportunities ahead of us. We would do well to capitalize on the areas that computers have great difficulty understanding, including collaboration, communication, problem solving, and much more. To stay ahead of the curve, we will all need to learn new things on an ongoing basis, as well as unlearn the old ways that are now holding us back. Remember, we live in a human world where relationships are all-important.

We need to be aware of the new tools available to us, and then creatively apply them to transform the impossible into the possible. By acquiring new knowledge, developing creativity and problem-solving skills, and honing our interpersonal, social, and communication skills, we can all thrive in a world of transformational change.

Are you reacting to change or paying attention to the Hard Trend facts that are shaping the future?

If you want to anticipate the problems and opportunities ahead of you, pick up a copy of my latest book, The Anticipatory Organization.

Changes in Manufacturing: How Will Different Generations Adapt?

We categorize everything, from subgenres of music to which foods are the healthiest. But most categorization occurs between generational differences in the workforce and what success means to both, especially in manufacturing.

We categorize everything, from subgenres of music to which foods are the healthiest. But most categorization occurs between generational differences in the workforce and what success means to both, especially in manufacturing.

The Change Curve of Manufacturing

In recent years, the change curve of manufacturing has gone from a static line to an extreme slope. In the past, we all knew what manufacturing was, and safely assumed we knew where it was headed. But ongoing technological advancements are uprooting that sedentary perspective, and the change curve of manufacturing is now an upward climb. What the industry and job market of manufacturing were isn’t where manufacturing is today, or where it’s headed.

That change curve also has an effect on what manufacturing jobs will be in the future, and how they will differ from what they were in the past. That Hard Trend changes how we categorize success, and to us as employees in manufacturing, the word is taking on a whole new meaning. Much as we once “knew” where jobs were headed, we used to have a polarized view of what success meant. For many Baby Boomers in manufacturing, it meant working at a company until you retired, doing the repetitive and often dirty jobs to make ends meet. The paycheck you got at the end of the week meant you were successful.

But the younger generations entering the workforce have an entirely different view of life, success, and jobs in general, let alone jobs in manufacturing. Digital technology, additive manufacturing (i.e., 3D printing) and the internet of things (IoT) are already here and — in most cases — making our lives easier. Everyday tasks that used to take some time to accomplish are now shortened through the use of ever higher-tech devices, which are a constant in the lives of members of younger generations who grew up with them.

Take, for example, telecommunications. Baby Boomers grew up viewing landlines and cordless phones as appliances. Millennials see laptops and smartphones with instant messaging as appliances. Now, the next generation already sees its mobile devices and wearables as appliances. We all categorize, but that categorization changes with the times.

Different generations adapt to technology and define success quite differently.

Different generations’ adapt to technology and define of success quite differently. Also, the fact that many Baby Boomers remain in the workforce as younger generations enter the same industries is increasing the generational divide. The younger generations’ outlook challenges the past definitions of success; to millennials, for example, “success” has much to do with how much they love what they do. The Baby Boomer generation measured success differently; however, if they plan on staying in their jobs, they must open their minds to these trends and let go of the categorizations that further the generational divide.

All generations must rely on one another more than ever before, as more generations will be working together than ever before. While young generations may learn about “the old-school work ethic” from older generations, older generations can and should learn from younger generations about how to apply new tools to old tasks and reinvent the industries they are in.

For example, automation is becoming more capable and widespread, whether we like it or not. Those back-breaking, repetitive jobs discussed earlier are increasingly being taken over by machines. This shouldn’t be viewed as a bad thing; however, many members of the older generation worry about losing their jobs to robots, or believe that dependence on technology makes us weak or lazy. The younger generation can teach the older generation not to fear radically new ideas, but embrace them as progress and learn how to work alongside them.

Job Mentoring and Automation

The same can be said for older generations teaching younger generations about their work ethic and the importance of integrity, trust, and earning those things in the workforce. Forty years of experience can’t be taught via YouTube, but it can be taught in on-the-job mentoring of a younger worker who’s just starting out in manufacturing. Some things, automation will not replace, and all generations can learn to thrive in the future from one another.

We will spend the rest of our lives in the future, so perhaps we should spend some time identifying the Hard Trends that are shaping that future. You should be asking yourself questions about how your career is evolving, how people are evolving, how you can embrace new technology like you embraced past technology, and how to keep your mind open and learn from members of other generations instead of shutting yourself off from new ideas by categorizing everything. Embracing new technology can change the dynamic of the manufacturing workforce while learning from the past to foresee potential problems of the future and pre-solving them before they happen.

Are you anticipating the future of your career? If you want to learn more about the changes that are ahead and how to turn them into an advantage by becoming anticipatory, pick up a copy of my latest book, The Anticipatory Organization.

Pick up your copy today at www.TheAOBook.com

IoT Sensors Market: North America the Largest Market Due To Mounting Implementation of Wireless Sensors

IoT is the software of devices, buildings, physical objects and other, that produces trillions of data through connecting various sensors and devices with the Internet via mixed access networks through technologies. The global IoT sensors market is growing at a significant rate, due to augmented usage of sensors in IoT devices and other applications, and growth in INTERNET penetration rate. Different sensor type contributed to the IoT sensors market size. The market has witnessed high demand for pressure sensors in the coming years due to augmented concerns involving safety, decrease in automobile emissions and comfort levels.

Explore Full Report Description At:  https://www.vynzresearch.com/semiconductor-electronics/iot-sensors-market

Augmented usage of sensors in IoT devices and other applications, growth in internet penetration rate, initiation of Ipv6, launch of 3 GPP release 13 and release 14 specifications, elevated requirement for connected and wearable devices and significance of real-time computing for IoT applications are the primary growth drivers for IoT sensors market.

Geographically, North America the largest IoT sensors market due to mounting implementation of wireless sensors. In addition, mounting internet usage in technologically advancing economies and augmented usage of IoT sensor devices in various industries such as healthcare, oil & gas, automotive, consumer electronics, transportation and retail are some of the factors driving the growth of the North American market. In addition, Asia-Pacific is observed to witness highest growth in the market due to mounting disposable income. In addition, mounting penetration of the internet across commercial and residential spaces, and refining IT infrastructure are some of the factors facilitating the growth of the Asia-Pacific market.

Download Free Report Sample At: https://www.vynzresearch.com/semiconductor-electronics/iot-sensors-market/request-sample

Key players in the IoT sensors market are catering the demand by collaborating, and acquiring with small players and investing on technologically advanced products portfolio across the globe. In April 2018, Sensirion introduced SGPC3, the ultra-lower gas sensor which manages indoor air quality detecting for mobile and battery-driven applications. Texas Instruments, Sensirion, Analog Devices, Te Connectivity, Bosch Sensortec, TDK (Invensense), Broadcom (Avago), Stmicroelectronics and Omron are the key players offering IoT sensors.

Geographical Segmentation
IoT Sensors Market by Region
North America

  • U.S.
  • Canada
  • Rest of North America

Europe

  • U.K.
  • France
  • Netherlands
  • Sweden        
  • Rest of Europe

Asia-Pacific

  • China
  • Japan
  • Singapore
  • Taiwan
  • Rest of Asia-Pacific

Latin America

  • Brazil
  • Rest of Latin America

Middle East & Africa

  • South Africa
  • Rest of Middle East & Africa

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Pop Quiz, Monday with Biren Gandhi

Speak to IoT provides a simple, secure platform to connect smart Internet of Things (IoT) devices to all intelligent voice assistants like Amazon Alexa and Google Assistant. Our vision is to connect everything through voice by leveraging the combination of Voice, IoT, and AI.

The Pop Quiz, Monday is a fun little exam that we love to give to savvy business owners. The examination is not a surprise after all since the interviewee already knew about the questions in advance. However, we can always pretend and have fun with the scenario of a young entrepreneur sitting in class nervously biting on their pencil. They are ready to take a pop quiz on a chapter that they were supposed to read the night before. Instead, they played Metroid all night on their SNES (Oops, this was me in high school). The real purpose of the pop quiz is that this is a fun way to introduce business tips from real-world experiences that you can not learn in a classroom. We want to thank our entrepreneur for being a good sport and volunteering their time to answer a few questions to help our community grow from their knowledge.

I want to introduce you to our guest today who will be taking our Pop Quiz Monday.

Can you please tell everyone your name?
Biren Gandhi

Biren Gandhi
Photo credit: Biren Gandhi

What is your job role?
Founder & CEO, Speak to IoT

Tell us about your company?
Speak to IoT provides a simple, secure platform to connect smart Internet of Things (IoT) devices to all intelligent voice assistants like Amazon Alexa and Google Assistant. Our vision is to connect everything through voice by leveraging the combination of Voice, IoT, and AI.

What do you love most about your job?
We are solving customers’ problems in optimal ways by using cutting edge technologies. Seeing the smile on the faces of users of the technology we help build.

What motivates you to get up every day and go to work?
I am using all of my intellectual abilities, the network of super-talented individuals, and purpose-driven passion for making the world a better place. The universe is a giant amplifier – what we wish for others, comes back to us manifold.

How do your co-workers inspire you?
The diversity of thought process, their individual personalities, and problem-solving approaches radiate super-creative energy everyday inspiring me to learn and grow while staying humble constantly.

How do you have fun at work (team building, pranks, etc..)?
No superficial activities can beat the deep inner satisfaction we gain while focusing and solving some of the toughest problems we encounter. For a geographically distributed team working across different time zones, beating the challenges thrown at us is the common feeling we all share and cherish every day.

What are some of the challenges of your job?
On the customer/partner front, convincing them of the multiplier value they can claim in the market by using advanced disruptive technologies like Voice, IoT, and AI despite the short-term expenses attached with deploying them. On the personal front, the biggest challenge is to stay focused amid the constant chaos outside.

What are some lessons learned from a past project that you can share with us?
Understand the difference between a hobby and a business. We might be passionate about many things, but it’s always a good idea to put those items into perspective. For a viable business, it must do one or more of these three things for your customers: (1) Improve their top-line revenues, (2) Reduce their bottom-line cost, (3) Radically improve their stakeholder experience.

What advice would you give to someone who is starting in your industry?
Stay hungry, stay foolish. Life is a marathon, not a sprint. Focus on the big picture. Find your niche and create value for others.

Thank you for taking our pop quiz today. You get an A+ for effort. You can learn more about our interviewee and their business by visiting them on the web:

https://speaktoiot.com/

https://www.facebook.com/SpeakToIoT
https://twitter.com/speaktoiot
https://www.linkedin.com/company/speak-to-iot
https://www.instagram.com/speaktoiot