The Risks of Sticking with Legacy Technology

Legacy technology is like that old pair of jeans you wore as a teenager. “They are comfortable” was always your answer to any inquiry.

Legacy technology is like that old pair of jeans you wore as a teenager. “They are comfortable” was always your answer to any inquiry.

Move that anecdote onto a larger stage and you have a fairly accurate picture of why many organizations hold on to legacy technology—tools that are long outdated: comfort.

In a world of exponential change, legacy technology is trouble. Continuing to use outdated technology of all sorts is costly beyond the financial spectrum.

Legacy Technology Defined

A definition of legacy technology describes the term as “an old method, technology, computer system or application program, of, relating to, or being a previous or outdated computer system.”

This particular definition frames legacy technology in a negative light. There’s no getting around the fact that legacy technology is pervasive.  

In more recent news, several organizations have experienced setbacks from legacy technology:

  • Last year, Data Breaches compromised 15.1M patient records with 503 incidents.
  • In late 2016, British bank Tesco shut down online banking in early November after 40,000 accounts were compromised, half by hackers for fraudulent purposes. Andrew Tschonev, technical specialist at security firm Darktrace, stated: “With attackers targeting everyone and anyone, today’s businesses cannot safely assume that it won’t happen to them.”
  • In July 2016, Southwest Airlines canceled 2,300 flights when a router failed, delaying hundreds of thousands of passengers. The same issue grounded 451 Delta Air Lines flights weeks later.
  • In November 2015, Orly Airport in Paris was forced to ground planes for several hours when the airport’s weather data management system crashed. The system was Windows 3.1.

Bad PR? Yes, but Much More Than That

Reputations are important, and high-profile incidents like these don’t create great headlines. But the reasons to move on from legacy technology stretch further:

Data breaches. As Tesco discovered, legacy technology is open to cyber crime. Vendor support is often nonexistent, which limits valuable upgrades. Furthering security risks, advantages of improvements in security measures are not easily accessible for old systems.

Expensive functionality. Revamping outdated technology can be an expensive proposition, but running outdated technology increases operating costs also. Old hardware versions lack modern power-saving technology and the systems’ maintenance is expensive.

Compliance penalties. Depending on your industry, legacy technology may not be in compliance. In the medical industry, outdated software will fail to meet compliance standards, such as the Health Insurance Portability and Accountability Act (HIPAA), resulting in severe financial penalties.

Customer loss. No matter the industry, offering outdated solutions and ideas derived from equally outdated technology will prompt customers to look elsewhere for better answers.

Unreliability. Many organizations hold on to legacy systems in the belief that the systems still work. If that’s not the case, consider what happens when something goes wrong, as seen in the detrimental examples above.

Perception issues. Leaders need to be aware of the message they’re sending to their employees. Consider how a younger employee who’s comfortable with technology might react to coping with the limitations of legacy technology. Aside from lost productivity, they may consider a new employer more willing to invest in current infrastructures.

“No” Can Be More Costly Than “Yes”

Replacing legacy technology is not entirely devoid of downsides, the most obvious being cost. Other deterrents include legacy replacement projects failing or the time and cost involved in system testing and end-user retraining.

But the question remains: Are you and your organization comfortable with the old, or are you identifying the Hard Trends that are shaping the future and embracing the new? Are you anticipating the need to invest and upgrade before tragedy occurs? There’s not one organization in the examples provided that doesn’t wish to go back and pre-solve the problems of outdated systems.

Before making any decisions, assess both Hard Trends and Soft Trends that affect your organization and industry. Consider the positive and negative impacts that replacing legacy systems may carry both internally and externally. Be certain that every element for the new system serves a well-defined business goal, now and in the future.

As I emphasize in my Anticipatory Organization Learning System, saying yes can be expensive, but saying no could be catastrophic.

Smart Construction: How AI and Machine Learning Will Change the Construction 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.”

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.

Know What’s Next

Discover proven strategies to accelerate innovation with my latest book The Anticipatory Organization. Follow this link for a special offer.

Shape the Future–Before Someone Else Does It For You!

Pop Quiz, Monday with Rassul Fazelat

I love that we can help to help fellow peers in the industry better access their next career move and also help companies understand this niche talent marketplace.

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?
Rassul Fazelat

Rassul Fazelat
Photo credit: Rassul Fazelat

What is your job role?
I am President & CEO of Data Talent Advisors, a boutique data & analytics talent advisory

Tell us about your company?
We are specialized data, analytics, & AI talent advisory, helping companies understand the marketplace, help with job description analysis/creation and overall talent acquisition.

What do you love most about your job?
I love that we can help to help fellow peers in the industry better access their next career move and also help companies understand this niche talent marketplace.

What motivates you to get up every day and go to work?
I love being part of the hottest industry in the tech sector. Something that everyone is talking about and something that is continuing to change the way we exist every day.

How do your co-workers inspire you?
We are only a team of three, but I really like the different perspectives our team members bring to the table.

How do you have fun at work (team building, pranks, etc..)?
We will be planning our 1st team Ski trip this year in Sochi Russia.

What are some of the challenges of your job?
The biggest challenge of my job is managing expectations and helping guide both candidates and companies for career and talent acquisition success, respectively.

What are some lessons learned from a past project that you can share with us?
We as a company are moving into a monthly billing model for our clients. It is a model that we have clients on, and it is a truly a business partnership helping our clients on many of facets or their journey into the data, analytics & AI space.

What advice would you give to someone who is starting in your industry?
For candidates, I can not stress the opportunity to get exposure to as many tools as possible. The number of tools being used is abundant but some industry staples have emerged, so it is paramount to have this experience for long-term career growth.

For companies, I would 1st ask what they are trying to achieve? Many times companies either want to bundle three different jobs into one or don’t have a good handle of their current job market for these niche jobs. It’s a completely new dynamic when companies are having to lure candidates (who have many options) versus candidates being selected by companies.

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:

www.datatalentadvisor.com – Web
@BigDataVision – Twitter

https://www.facebook.com/Data-Talent-Advisors-1769919759784522