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Smart Construction: How AI and Machine Learning Will Change the Construction Industry

These days, seemingly everyone is applying Artificial Intelligence (AI) and machine learning. I have written about disruptions in the manufacturing industry, such as Industry 4.0, while illustrating the Hard Trends that indicate where improvements will be made in the future.

The construction industry, which makes up 7% of the global workforce, should already have applied these technologies to improve productivity and revolutionize the industry. However, it has actually progressed quite slowly.

Growth in the construction industry has only been 1% over a few decades while manufacturing is growing at a rate of 3.6%. With the total worker output in construction at a standstill, it is no surprise that the areas where machine learning and AI could improve such statistics were minimal. Yet, those technologies are finally starting to emerge in the industry.

Artificial Intelligence (AI) is when a computer mimics specific attributes of human cognitive function, while machine learning gives the computer the ability to learn from data, as opposed to being specifically programmed by a human. Here are ten ways that AI and machine learning will transform the construction and engineering industries into what we’ll call “smart construction.”

  1. Cost Overrun Prevention and Improvement

Even efficient construction teams are plagued by cost overruns on larger-scale projects. AI can utilize machine learning to better schedule realistic timelines from the start, learning from data such as project or contract type, and implement elements of real-time training in order to enhance skills and improve team leadership.

  1. Generative Design for Better Design

When a building is constructed, the sequence of architectural, engineering, mechanical, electrical, and plumbing tasks must be accounted for in order to prevent these specific teams from stepping out of sequence or clashing. Generative design is accomplished through a process called “building information modeling.” Construction companies can utilize generative design to plot out alternative designs and processes, preventing rework.

  1. Risk Mitigation

The construction process involves risk, including quality and safety risks. AI machine learning programs process large amounts of data, including the size of the project, to identify the size of each risk and help the project team pay closer attention to bigger risk factors.

  1. More Productive Project Planning

A recent startup utilized 3D scanning, AI and neural networks to scan a project site and determine the progress of specific sub-projects in order to prevent late and over-budget work. This approach allowed management to jump in and solve problems before they got out of control. Similarly, “reinforcement learning” (machine learning based on trial and error) can help to collate small issues and improve the preparation phase of project planning.

  1. More Productive Job Sites

Professionals often fear machines will replace them. While intelligent machines will take over first repetitive and eventually more cognitively complex positions, this does not mean a lack of jobs for people. Instead, workers will transition to new, more fulfilling and highly productive roles to save time and stay on budget, and AI will monitor human productivity on job sites to provide real-time guidance on improving each operation.

  1. Safety First

Manual labor not only has the potential to be taxing on the body, but also to be incredibly dangerous. Presently, a general contractor is developing an algorithm that analyzes safety hazards seen in imagery taken from a job site, making it possible to hold safety briefings to eliminate elevated danger and improve overall safety on construction sites.

  1. Addressing Job Shortages

AI and machine learning have the capacity to plot out accurate distribution of labor and machinery across different job sites, again preventing budget overruns. One evaluation might reveal where a construction site has adequate coverage while another reveals where it is short staffed, thereby allowing for an efficient and cost-effective repositioning of workers.

  1. Remote Construction

When structures can be partially assembled off-site and then completed on-site, construction goes faster. The concept of using advanced robots and AI to accomplish this remote assembly is new. Assembly line production of something like a wall can be completed while the human workforce focuses on the finish work.

  1. Construction Sites as Data Sources

The data gathered from construction sites and the digital lessons learned by AI and advanced machines are all tools for improving the productivity of the next project. In this way, each construction site can contribute to a virtual textbook of information helpful to the entire industry.

  1. The Finishing Touches

Structures are always settling and shifting slightly. It would be beneficial to be able to dive back into data collated by a computer to track in real time the changes and potential problems faced by a structure — and AI and machine learning make this possible.

Given the inevitable changes on the horizon, and the potential for costs to drop up to 20% or more with increased productivity, professionals in the construction industry must pay attention to Hard Trends, become more anticipatory, and ultimately learn to turn disruption and change into opportunity and advantage.

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Best Practices Culture Growth Management Personal Development Technology

Changes in Manufacturing: How Will Different Generations Adapt?

We categorize everything, from sub-genres 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.

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Best Practices Entrepreneurship Human Resources Management Personal Development Women In Business

When Your Toilet is Clogged You Don’t Hire a Chef

No one likes to think about turnover, but it’s a problem that keeps general managers (GM) and business owners up at night. Why? Because deep down you know how critical it is to the bottom line.

Here’s a scenario:

You run a multi-million-dollar dealership and you are hitting the numbers despite margin compression. (Hallelujah) You’re managing to win the volume game. The below-the-line money is essential to keeping the lights on and your team manages to keep their Customer Service Index numbers at passing levels. If you are the GM, the owner stays away for the most part while you continue to help money hit the bank account. If you are a hands-on owner, you cannot stay away because you are steering the ship. This is your legacy.

So, why are you losing sleep?

Could it be the fear of missing your bonus program requirements from the manufacturer and losing the “below the line” money that is vital to your survival? Or is it the fact that you know your toxic sales manager is on the verge of creating a mass exodus on your sales floor and all you can think is, “Hiring is a bitch.” Maybe it is just that you don’t have time to get everything done in a day.

The fact is, you know you have a few core needs that require a shift and you know you need help to make those shifts happen. What you don’t know is where to begin. After speaking with dozens of GMs and owners, it’s become clear to me that, time and again, the place to start is a deep dive into your ethos and an understanding of your level of employee engagement.

When your employees are disengaged, your showroom floor or service drive is a disaster, and your customers turn right back around to the front door to get the hell out of dodge. When you finally get a new employee to start, either they quickly feel the vibe of a lackluster culture and bolt, or they hang on a bit and join the disgruntled masses.

Either way, your managers are tired. They are pushing to hit the numbers to keep you off of their back and their family fed. They don’t have the bandwidth to rein in the culture or to hire right. Frankly, you know this is your responsibility, but, damn it, how can you do it all? The answer is: you can’t and shouldn’t.

When you need your computer fixed, you go to an expert that specializes in technology. When it’s time to replace your air conditioner, you hire an HVAC specialist to do the job. How about your toilet? When it’s clogged, you’re not hiring a chef – or at least I hope not. The reality is that no one person can do everything well, and a successful leader hires the right people to close gaps whether they are environmental or performance-related.

At Shift Awake Group, we specialize in closing the gap on the two critical topics of culture and employee engagement. In order to repair your culture, you have to find out where the bodies are buried and work to mend the cracks in the foundation. Once your culture is repaired, the focus shifts to hiring right the first time while elevating employee engagement and kicking turnover to the curb.

I do not know a single owner or GM that doesn’t want to increase their gross profit margin. Unfortunately, too many believe that focusing on volume will help their income statement and, in turn, everything else will just fix itself. While this can work sometimes, it’s more advantageous to focus on a different, more sustainable metric by increasing your Operating Profit Margins (OPM). When you reduce turnover, costs affecting your overhead are reduced at the same time OPM is increased. When employee engagement improves, simultaneously, there is the perfect storm of opportunity to positively impact gross profit margin with a happier, more fulfilled workforce selling the perfect vehicle to your customer.

If that perfect storm sounds like it could help you finally get a good night’s sleep, it is time to empower an expert to take control of these two pain points that will not spontaneously heal and, in fact, are likely to get worse the more you say they will “fix themselves.”

How can we serve you?

Jacqueline Jasionowski is the founder of Shift Awake Group. Her “soul” mission is to help others connect with their purpose through a higher level of consciousness that will both drive results and enable innovation along the way. Please contact 614.403.6540 for info.