#automation career

[cubbihue]

Question ...if fairies rely on desire to feed,would Dev be a GOOD food source or a terrible food source? Does desire come from wishing or wanting more, essentially. Because dev like.. Has all he can want except his dad's approval ,so how does that work?

Fairies' food comes from the innate emotion a person has while Wishes are just the only way Fairies can pull the emotions (food) out!!!

The more the desire is out of reach, the more delicious it is, and the longer the fairy can go without needing another meal. It's simply easier to harvest from children because they have big emotions, and weak minds and impulses. A child can say "I wish" more openly than an adult does, making it easier for Fairies to cultivate.

Dev's one of the best food sources there is. In fact, he's able to feed a family of 5 for at least 8 months! However, he's also one of the worse sources to collect from because his desire is noncollectable by magic.

Which means you'll need an expert high-class, high-ranking Fairy Godparent who can siphon out his Desires into smaller parts via multiple smaller wishes!

Bitties Series: [Start] > [Previous] > [Next]

[jcmarchi]

How Does AI Use Impact Critical Thinking?

New Post has been published on https://thedigitalinsider.com/how-does-ai-use-impact-critical-thinking/

How Does AI Use Impact Critical Thinking?

Artificial intelligence (AI) can process hundreds of documents in seconds, identify imperceptible patterns in vast datasets and provide in-depth answers to virtually any question. It has the potential to solve common problems, increase efficiency across multiple industries and even free up time for individuals to spend with their loved ones by delegating repetitive tasks to machines.    

However, critical thinking requires time and practice to develop properly. The more people rely on automated technology, the faster their metacognitive skills may decline. What are the consequences of relying on AI for critical thinking?

Study Finds AI Degrades Users’ Critical Thinking 

The concern that AI will degrade users’ metacognitive skills is no longer hypothetical. Several studies suggest it diminishes people’s capacity to think critically, impacting their ability to question information, make judgments, analyze data or form counterarguments. 

A 2025 Microsoft study surveyed 319 knowledge workers on 936 instances of AI use to determine how they perceive their critical thinking ability when using generative technology. Survey respondents reported decreased effort when using AI technology compared to relying on their own minds. Microsoft reported that in the majority of instances, the respondents felt that they used “much less effort” or “less effort” when using generative AI.  

Knowledge, comprehension, analysis, synthesis and evaluation were all adversely affected by AI use. Although a fraction of respondents reported using some or much more effort, an overwhelming majority reported that tasks became easier and required less work. 

If AI’s purpose is to streamline tasks, is there any harm in letting it do its job? It is a slippery slope. Many algorithms cannot think critically, reason or understand context. They are often prone to hallucinations and bias. Users who are unaware of the risks of relying on AI may contribute to skewed, inaccurate results. 

How AI Adversely Affects Critical Thinking Skills

Overreliance on AI can diminish an individual’s ability to independently solve problems and think critically. Say someone is taking a test when they run into a complex question. Instead of taking the time to consider it, they plug it into a generative model and insert the algorithm’s response into the answer field. 

In this scenario, the test-taker learned nothing. They didn’t improve their research skills or analytical abilities. If they pass the test, they advance to the next chapter. What if they were to do this for everything their teachers assign? They could graduate from high school or even college without refining fundamental cognitive abilities. 

This outcome is bleak. However, students might not feel any immediate adverse effects. If their use of language models is rewarded with better test scores, they may lose their motivation to think critically altogether. Why should they bother justifying their arguments or evaluating others’ claims when it is easier to rely on AI? 

The Impact of AI Use on Critical Thinking Skills 

An advanced algorithm can automatically aggregate and analyze large datasets, streamlining problem-solving and task execution. Since its speed and accuracy often outperform humans, users are usually inclined to believe it is better than them at these tasks. When it presents them with answers and insights, they take that output at face value. Unquestioning acceptance of a generative model’s output leads to difficulty distinguishing between facts and falsehoods. Algorithms are trained to predict the next word in a string of words. No matter how good they get at that task, they aren’t really reasoning. Even if a machine makes a mistake, it won’t be able to fix it without context and memory, both of which it lacks.

The more users accept an algorithm’s answer as fact, the more their evaluation and judgment skew. Algorithmic models often struggle with overfitting. When they fit too closely to the information in their training dataset, their accuracy can plummet when they are presented with new information for analysis. 

Populations Most Affected by Overreliance on AI 

Generally, overreliance on generative technology can negatively impact humans’ ability to think critically. However, low confidence in AI-generated output is related to increased critical thinking ability, so strategic users may be able to use AI without harming these skills. 

In 2023, around 27% of adults told the Pew Research Center they use AI technology multiple times a day. Some of the individuals in this population may retain their critical thinking skills if they have a healthy distrust of machine learning tools. The data must focus on populations with disproportionately high AI use and be more granular to determine the true impact of machine learning on critical thinking. 

Critical thinking often isn’t taught until high school or college. It can be cultivated during early childhood development, but it typically takes years to grasp. For this reason, deploying generative technology in schools is particularly risky — even though it is common. 

Today, most students use generative models. One study revealed that 90% have used ChatGPT to complete homework. This widespread use isn’t limited to high schools. About 75% of college students say they would continue using generative technology even if their professors disallowed it. Middle schoolers, teenagers and young adults are at an age where developing critical thinking is crucial. Missing this window could cause problems. 

The Implications of Decreased Critical Thinking

Already, 60% of educators use AI in the classroom. If this trend continues, it may become a standard part of education. What happens when students begin to trust these tools more than themselves? As their critical thinking capabilities diminish, they may become increasingly susceptible to misinformation and manipulation. The effectiveness of scams, phishing and social engineering attacks could increase.  

An AI-reliant generation may have to compete with automation technology in the workforce. Soft skills like problem-solving, judgment and communication are important for many careers. Lacking these skills or relying on generative tools to get good grades may make finding a job challenging. 

Innovation and adaptation go hand in hand with decision-making. Knowing how to objectively reason without the use of AI is critical when confronted with high-stakes or unexpected situations. Leaning into assumptions and inaccurate data could adversely affect an individual’s personal or professional life.

Critical thinking is part of processing and analyzing complex — and even conflicting — information. A community made up of critical thinkers can counter extreme or biased viewpoints by carefully considering different perspectives and values. 

AI Users Must Carefully Evaluate Algorithms’ Output 

Generative models are tools, so whether their impact is positive or negative depends on their users and developers. So many variables exist. Whether you are an AI developer or user, strategically designing and interacting with generative technologies is an important part of ensuring they pave the way for societal advancements rather than hindering critical cognition.

[hjemne]

I am being so fucking serious how do you find a job without having experience. Every single job ad I find wants you to have a specialised degree + specific experience and it's making me want to smash something

[technologyequality]

From Breakdown to Breakthrough: Why I Built the MORETIME AI App (and How You Can Benefit From My Chaos)

From Breakdown to Breakthrough Why I Built the MORETIME AI App (and How You Can Benefit From My Chaos) You ever have one of those moments where technology just betrays you in cold blood? Yeah. That was me… last month. Let me be blunt: Most people build in peace. I’ve been building in chaos. And not the kind you hint at on social media. I’m talking real chaos: • Platforms vanishing…

[munaeem]

The Impact of AI on the Middle Class Economy

A late-night scroll through 2024’s tech headlines reveals billions in profits. There are AI breakthroughs. However, there’s a quiet undercurrent of layoffs. Hundreds of thousands of workers are gone. I wonder what will happen if the machines we build to make life easier begin to dismantle our society’s foundation. The promise of artificial intelligence dazzles—productivity, efficiency, cost…

[xploreitcorp5]

What is the Future of SEO in the Age of AI?

1. AI is Changing Search Engine Algorithms  

Search engines like Google are using AI to improve how they work. BERT, MUM, and RankBrain are just the start. These systems help search engines grasp what users really mean, beyond just matching keywords. With Natural Language Processing, AI can understand queries in a more human way.

Now, AI ranks pages based on user experience, mobile-friendliness, and the overall quality of content.  

With real-time updates to algorithms, SEO strategies need to be adaptable. Students in digital marketing course in Coimbatore are learning how to make their content fit these new algorithms.

2. Working with AI in Content Creation

AI is changing how we create content. Tools like ChatGPT and Jasper can whip up text quickly, but Google still prefers original insights from real people. Use AI to brainstorm ideas and gather research. 

Always tweak AI-generated content to make it more relatable and engaging. Make sure it aligns with Google’s guidelines for helpful content.

While AI can be a great helper, the future is for those who mix it with creativity—something emphasized in digital marketing courses in Coimbatore.

3. Voice Search Optimization  

Voice assistants such as Siri, Alexa, and Google Assistant are becoming popular, leading to longer, more conversational search queries. To optimize for voice search, use natural language and long-tail keywords. 

Creating FAQ-style content and using schema markup can help too. Voice SEO is becoming a big topic in digital marketing training in Coimbatore.

4. Machine Learning and User Behavior 

Search engines are leaning on machine learning to tweak results in real-time. This means that SEO is about more than just technical aspects; user interaction matters too. 

Metrics like bounce rate and session duration can affect your rankings. Content that keeps users engaged is prioritized now. Keeping an eye on user behavior and analytics is essential, and many digital marketing programs in Coimbatore now teach UX/UI basics to prepare students for this shift.

5. The Rise of Visual and Video SEO

AI can now see images and videos, leading to new ways of indexing visual content. Using alt text and proper file names is crucial.  

Don’t forget to include video transcripts and descriptions while ensuring fast loading times and mobile optimization. With platforms like YouTube and Pinterest on the rise, it’s vital to optimize all content types, not just written stuff.

6. Predictive SEO with AI Tools

AI helps with predictive analytics, letting marketers guess search trends and ready content ahead of time. Tools like Google Trends and predictive SEO software can be handy here. 

Spotting content gaps and planning for them will be key, especially with seasonal or event-based strategies. Good digital marketing courses in Coimbatore focus on hands-on experience with these tools.

7. E-E-A-T: Expertise Matters  

Even with AI’s growth, Google’s E-E-A-T guidelines (Experience, Expertise, Authoritativeness, Trustworthiness) are still important. Make sure to highlight real authors and credentials. 

Adding customer reviews and expert insights adds authenticity. Learning how to balance AI and genuine content is a skill taught in digital marketing courses in Coimbatore.

8. Improved Local SEO with AI  

AI is making local SEO better by helping to create more accurate geo-targeted content. It’s crucial to optimize your Google Business Profile, include location-based keywords, and encourage reviews for local visibility. 

For students in digital marketing training in Coimbatore, local SEO is especially critical for helping nearby businesses grow.

9. The Importance of LSA Keywords

Latent Semantic Analysis (LSA) keywords help search engines understand content context better. Here are some examples connected to SEO:  

- search engine optimization tools  

- AI in content marketing  

- user behavior analytics  

- mobile-first indexing  

- semantic search trends  

Using LSA keywords is important for creating content that fits the needs of both users and search engines.

10. Job Opportunities in AI-Driven SEO

As AI takes a bigger role in SEO, companies look for folks who understand both digital marketing and AI. Entry-level positions are starting to require knowledge of AI tools. 

Internships now often include automation tools, analytics, and AI content optimization. Courses in Coimbatore are adapting their programs to reflect this demand. Hands-on training, tools, and project-based learning are becoming the norm.

Conclusion: Staying Ahead with Xplore It Corp

So, what’s the future of SEO in the age of AI? Clearly, while AI is making things faster and more efficient, human creativity and flexibility are essential. The need for skilled SEO professionals is rising, and it's important to keep evolving.

To keep your skills sharp, think about joining a digital marketing course in Coimbatore, or check out top training institutions in the area. Gain practical experience with real-world tools and expert guidance.

At Xplore It Corp, we offer training that combines traditional SEO with today’s AI technologies, prepping you for both the current job market and what’s to come. Join us to step into the future of digital marketing confidently!

FAQs About the Future of SEO and AI

1. Is SEO becoming outdated because of AI?  

No, SEO is changing, not disappearing. AI is reshaping how search engines function, focusing more on user intent and content quality.

2. Can AI write good SEO content? 

AI tools like ChatGPT can help create content, but you still need a human touch for it to be engaging and unique.

3. Which skills are vital for AI-driven SEO?

Key skills include knowledge of AI tools, data analysis, voice search optimization, and UX/UI. These are often covered in digital marketing course in Coimbatore.

4. How does AI impact local SEO? 

AI improves local SEO by enabling real-time targeting and personalized user experiences through voice search.

5. Where can I learn SEO with AI tools in Coimbatore?

Check out Xplore It Corp for in-depth training on integrating SEO with AI resources.

[themorningnewsinformer]

AI Anxiety: Coping with the Fear of Automation

With rapid advancements in artificial intelligence (AI), automation is reshaping industries—from manufacturing and finance to healthcare and creative sectors. While this revolution promises increased efficiency and productivity, it also sparks growing concern: AI anxiety. This fear of being replaced or made redundant by machines is a real and pressing issue affecting millions of professionals…

[pttedu]

Welding Classes Near Me: How Automation Is Reshaping Fabrication

Automation is revolutionizing the welding industry by increasing efficiency, precision, and safety, creating a higher demand for skilled welders who can work alongside advanced technologies. As automation grows, so does the need for trained professionals who understand both traditional and modern techniques. Enrolling in welding classes Philadelphia can give you a competitive edge, enhance your career opportunities, and significantly boost your income potential. Hands-on training and industry knowledge will prepare you for a successful future in this evolving field.

[jcmarchi]

Entrepreneur creates career pathways with MIT OpenCourseWare

New Post has been published on https://thedigitalinsider.com/entrepreneur-creates-career-pathways-with-mit-opencourseware/

Entrepreneur creates career pathways with MIT OpenCourseWare

When June Odongo interviewed early-career electrical engineer Cynthia Wacheke for a software engineering position at her company, Wacheke lacked knowledge of computer science theory but showed potential in complex problem-solving.

Determined to give Wacheke a shot, Odongo turned to MIT OpenCourseWare to create a six-month “bridging course” modeled after the classes she once took as a computer science student. Part of MIT Open Learning, OpenCourseWare offers free, online, open educational resources from more than 2,500 courses that span the MIT undergraduate and graduate curriculum. 

“Wacheke had the potential and interest to do the work that needed to be done, so the way to solve this was for me to literally create a path for her to get that work done,” says Odongo, founder and CEO of Senga Technologies. 

Developers, Odongo says, are not easy to find. The OpenCourseWare educational resources provided a way to close that gap. “We put Wacheke through the course last year, and she is so impressive,” Odongo says. “Right now, she is doing our first machine learning models. It’s insane how good of a team member she is. She has done so much in such a short time.”

Making high-quality candidates job-ready

Wacheke, who holds a bachelor’s degree in electrical engineering from the University of Nairobi, started her professional career as a hardware engineer. She discovered a passion for software while working on a dashboard design project, and decided to pivot from hardware to software engineering. That’s when she discovered Senga Technologies, a logistics software and services company in Kenya catering to businesses that ship in Africa. 

Odongo founded Senga with the goal of simplifying and easing the supply chain and logistics experience, from the movement of goods to software tools. Senga’s ultimate goal, Odongo says, is to have most of their services driven by software. That means employees — and candidates — need to be able to think through complex problems using computer science theory.

“A lot of people are focused on programming, but we care less about programming and more about problem-solving,” says Odongo, who received a bachelor’s degree in computer science from the University of Massachusetts at Lowell and an MBA from Harvard Business School. “We actually apply the things people learn in computer science programs.”

Wacheke started the bridging course in June 2022 and was given six months to complete the curriculum on the MIT OpenCourseWare website. She took nine courses, including: Introduction to Algorithms; Mathematics for Computer Science; Design and Analysis of Algorithms; Elements of Software Construction; Automata, Computability, and Complexity; Database Systems; Principles of Autonomy and Decision Making; Introduction to Machine Learning; and Networks. 

“The bridging course helped me learn how to think through things,” Wacheke says. “It’s one thing to know how to do something, but it’s another to design that thing from scratch and implement it.”

During the bridging course, Wacheke was paired with a software engineer at Senga, who mentored her and answered questions along the way. She learned Ruby on Rails, a server-side web application framework under the MIT License. Wacheke also completed other projects to complement the theory she was learning. She created a new website that included an integration to channel external requests to Slack, a cross-platform team communication tool used by the company’s employees.

Continuous learning for team members

The bridging course concluded with a presentation to Senga employees, during which Wacheke explained how the company could use graph theory for decision-making. “If you want to get from point A to B, there are algorithms you can use to find the shortest path,” Wacheke says. “Since we’re a logistics company, I thought we could use this when we’re deciding which routes our trucks take.”

The presentation, which is the final requirement for the bridging course, is also a professional development opportunity for Senga employees. “This process is helpful for our team members, particularly those who have been out of school for a while,” Odongo says. “The candidates present what they’ve learned in relation to Senga. It’s a way of doing continuous learning for the existing team members.”

After successfully completing the bridging course in November 2022, Wacheke transitioned to a full-time software engineer role. She is currently developing a “machine” that can interpret and categorize hundreds of documents, including delivery notes, cash flows, and receipts.

“The goal is to enable our customers to simply feed those documents into our machine, and then we can more accurately read and convert them to digital formats to drive automation,” Odongo says. “The machine will also enable someone to ask a document a question, such as ‘What did I deliver to retailer X on date Y?’ or ‘What is the total price of the goods delivered?’”

The bridging course, which was initially custom-designed for Wacheke, is now a permanent program at Senga. A second team member completed the course in October 2023 and has joined the software team full time. 

“Developers are not easy to find, and you also want high-quality developers,” Odongo says. “At least when we do this, we know that the person has gone through what we need.”

[tejkohli25]

Future Jobs That AI Will Impact

Artificial Intelligence (AI) is reshaping the workforce, altering how tasks are performed, and redefining job roles across multiple industries. While some fear job displacement, AI is also creating new roles and enhancing existing ones. Understanding which jobs AI will impact—and how—is essential for career planning, education, and workforce development.

For expert insights into the balance between AI innovation and broader technological advancement, check out this article.

Industries Where AI Will Have the Greatest Impact

1. Healthcare

AI is revolutionizing diagnostics, robotic surgeries, and patient monitoring.

Jobs like radiologists, medical coders, and administrative staff will see automation in repetitive tasks.

At the same time, roles for AI specialists in healthtech and human-centered care positions will grow.

2. Finance & Banking

AI is already transforming fraud detection, risk assessment, and algorithmic trading.

Jobs in manual auditing, data entry, and basic customer service may decline.

Conversely, the demand for data analysts, cybersecurity experts, and AI compliance officers is increasing.

3. Manufacturing & Logistics

AI-driven automation is reshaping assembly lines, inventory tracking, and supply chain logistics.

Jobs involving routine manual tasks are vulnerable to automation.

Opportunities will emerge in robotics engineering, systems maintenance, and logistics AI management.

4. Retail & E-commerce

AI tools are optimizing inventory management, customer behavior tracking, and personalized shopping.

Traditional cashier and in-store support jobs may decrease.

Growth areas include e-commerce strategists, AI product recommendation specialists, and UX designers.

5. Media & Creative Industries

AI can generate text, music, videos, and artwork using platforms like GPT-4 and DALL·E.

While repetitive content creation may be automated, creative direction, storytelling, and cultural nuance still require human input.

Jobs in AI-assisted design and creative consultancy will expand.

Emerging Job Roles Driven by AI

AI Ethicists & Policy Advisors: Professionals who guide ethical and legal AI deployment.

Machine Learning Engineers & Data Scientists: Developers who build and refine intelligent systems.

Human-AI Interaction Designers: Experts ensuring AI tools are intuitive and user-friendly.

AI Trainers: People who help train models with high-quality, diverse datasets.

Cybersecurity Specialists: As AI grows, so does the need for protection against cyber threats.

Skills Needed for the AI Future

Technical Skills: Python, data science, machine learning, and automation platforms.

Soft Skills: Adaptability, critical thinking, and emotional intelligence.

Interdisciplinary Knowledge: Combining AI expertise with healthcare, finance, or law creates niche opportunities.

Tej Kohli’s Perspective on AI & Future Employment

Tech investor Tej Kohli has emphasized that while AI will transform the workforce, it will also create jobs that didn’t exist before. According to him:

AI should complement, not replace, human roles, especially in ethics, leadership, and creative thinking.

Future economies must invest in AI upskilling, vocational training, and inclusive tech education.

A balanced approach to AI deployment and regulation is essential to protect jobs and stimulate innovation.

Conclusion

AI is reshaping the job market—not just eliminating roles but creating new opportunities for growth and specialization. By embracing continuous learning and adapting to technological change, today’s workforce can prepare for the careers of tomorrow. As leaders like Tej Kohli remind us, the future of work lies in collaboration between human talent and intelligent systems.

[danniswrites]

One Mistake, 25 Hours, and 25 Employees Couldn’t Work!

It was a normal day at Northside Realty in Atlanta, GA. I was a computer operator. Half my day was data entry of insurance claims for our 2000 realtors. The other part was backing up the work of the 25 employees of the Accounts Payable Department. Our Data Processing department consisted of myself and my supervisor, David Van Zandt. We did everything from printing and distributing quarterly reports that were thousands of pages long and paychecks to troubleshooting five floors of terminals. We also transitioned from one computer system to another and tried to decipher the spaghetti COBOL code of a brillant programmer, who, very unfortunately, died of a heart attack. This was before the days of modular programming, and it is a very difficult task to figure out how to modify such programs. We would tackle this task on slow days.

On this day, my boss was in San Francisco for a conference.

My workstation at @northsiderealty in Atlanta, GA

One of my tasks was to run a UNIX shell program that was, I believe, somewhere around 256 characters long. It had to be typed in exactly as written. Maybe it was too long for a macro, so we couldn’t automate this.

My routine was to type it in and I could type 5 characters ahead in the buffer but no more than that. As I typed, I’d pause and check to make sure it was correct. I was very tired that night. Somewhere in the process, I mistyped and didn’t catch the mistake until the unholy thing was executing! In fact, I tried to interrupt it, but it was too late.

I tried to call my boss, then waited for a callback. California is 4 hours ahead of Georgia, so it was already pretty late. My computer operator duties began at 5 o’clock in the afternoon and went until around 9:30 or 10, so it was now around 6 or so.

While I waited, I went over the manuals for our software and looked up anything in the index to help me understand how bad this was. That was maybe an hour before I realized I wasn’t getting anywhere.

So, I tried my boss again, then called tech support.

They escalated me to one of the programmers, if not the programmer who wrote the shell routine. We discussed options. “You could restore from backup and start over,” he suggested.

I tried to call Dave again. It was getting pretty late and I was not allowed to work over 40 hours in a week, so I made a fateful decision.

I restored from backup. During this, I kept trying to call Dave, but thought surely this would fix my problem.

Finally, I had the backup finished and called again. This time I did get Dave. I explained.

“Tell me you didn’t restore from backup.”

I looked into the computer room where the 14-inch reel-to-reel tapes were still. The backup was finished. “Yes, I did.”

There was a pause, and an audible exhale. Oh, boy. I’m in for it now! But, Dave took a few seconds to collect his thoughts. I’m not sure I would have been as patient with my employee as he was. He didn’t get angry or say anything like I expected to hear, like, say, How could you be so stupid? I was sure saying it to myself.

Nope, he just said, “Let me think about this a minute. Maybe there are some things we can try to do together.”

And, that’s what we did. Dave suggested this and that, and I did it. For hours, he would suggest something and I would go do it, and come back to our black wall phone and report the result. At this point, I wasn’t as worried about going over 40 hours. I did take time to call my husband to tell him I would be late getting home, from another line. And, to cry for a minute.

Well, this process went on and one. Morning came, though our windowless space consisted of a temperature-controlled room that held the blue refrigerator-sized CS 200, our old minicomputer system, the backup system that took the 14-inch reel-to-reel tapes and storage cabinets with our old backups and fresh tapes. Then there was the beige cabinet about the size of a chest deep freeze. Today you probably have that much processing power in your cellphone.

All photos copyright Dannis Cole.

I called my pharmacist husband to let him know I was still at work and he’d have to get our 5 year old daughter ready for school.

At 8 am there was a knock, and I opened the door to find an incredulous worker or three. “Oh, my goodness! You’re still here, Dannis? None of our computers will come up.”

I had to explain things, which was extremely uncomfortable. Nobody got mad about it. But, my boss’ boss and his boss were very upset. They came next.

They had me explain in detail what I did, what I was doing to solve this problem, and talked to Dave on the phone. Of course, they were accounting folks and managers, not data processing people. What we did all day probably seemed like magic in a black box to them, just like their number-crunching and spreadsheets seemed like magic to me. The level of explanation they wanted was way beyond my league, but Dave was able to explain it very well. He has a Master’s in Computer Science, and is a very intelligent man, also very good with people.

Unfortunately, nothing we did worked. We were still trying things until at 10:30 am, Dave called it. I told his bosses, and one of them told me I needed to stay until I found a solution. Several ladies from AP went to him and convinced him to let me go home.

I was in tears. All 25 of those AP employees were going to have to repeat all their work from yesterday. I felt awful that my one-letter mistype caused this whole mess. But all of those employees gathered around me and told me they weren’t mad. Even though Dave’s bosses were very unhappy, they didn’t ever get rude.

I had been at work 25 hours straight. The exhaustion, the stress, lack of sleep, and my painful body got to me. Keep in mind, I was not a healthy person and had several un-diagnosed medical conditions. My disabilities also contributed to this in a big way. I wasn’t exactly the safest driver on the road, but my husband was now at work and couldn’t come get me. My commute took an hour, so I was extra careful.

I didn’t even get fired. Things got back to normal, though I quit typing ahead when doing the AP distro, even though it took longer.

Later, when I got a job at Georgia Tech Library in Systems, I told my boss about this. He laughed and said, “Oh, I did something similar at a job I had. I’ve heard a lot of stories from other people I’ve worked with, so I think everybody’s made a mistake that caused problems for other people.” That made me feel a little better about it, and other more minor mistakes as well. Everyone makes them, but if people aren’t admitting them, it’s easy to think you’re somehow a bad worker.

So, I’m writing this post for all of you out there who might’ve made a major mistake that affected other workers in your department. We’re human. We will make mistakes, sometimes big ones. What matters is your willingness to try to fix it, and how you treat your fellow workers when mistakes happen. My supers remembered to treat their human capital with respect, despite the extra stress, work and cost of my mistake.

We’ve probably all had a boss who lost their temper or wanted to place blame and shame. But, a good supervisor will realize that humans make mistakes and concentrate on fixing the problem, not getting revenge on the person who dared to make it.

Our department pulled together to cope with this mistake. Nobody yelled or got rude. People did express their frustrations, but in a humane manner. Note that there was considerable unhappiness. Nobody wants to repeat work they already did. Nobody wants extra work in a busy department.

But, Northside Realty had a very healthy work culture. The owner of those 22 companies was Johnny Isaakson, a congressman in Georgia for many years.

I didn’t see him often, but when I did, I saw why our work culture was so healthy. One day I came in and saw him greeting one of the custodians. By name. He also greeted me and asked for my name, since this was probably the first time he saw me.

Once, I had to go up to his office to trace down and document the wires from his terminal to where they entered the floor, then to the LAN. This involved crawling around under his desk on my hands and knees, which made me more than a bit nervous. I tend to be a bit timid around men. To my relief, Johnny Isaakson went about his work and phone calls. He wasn’t looking at me. He was friendly, but businesslike, which was exactly what I wanted. After I finished, he asked me some questions about my work. I left feeling like a valued employee. On his desk were pictures of his wife and family. I felt happy to work for this man, a person who treated all his employees well, from computer operator to custodian.

He opened his home to all of us for an annual Christmas party, and treated us to a picnic at Stone Mountain during the summer. Our families were welcome, the food was wonderful, and he provided these activities at his expense. These things really contributed to my happiness at work.

I still remember this job as one of my favorites. I enjoyed tackling problems, most of which we were able to fix, but I really enjoyed working with all these pleasant people. Every Secretary’s Day, like all our employees, I got a rose. Like the realtors, I was allowed to get the supply room to make me a name plate for my desk, which I still have.

A fun tradition we had was, everyone contributed a dollar every month for a communal birthday ice cream cake. The folks who had birthdays that month decided on what kind of cake they wanted, and everyone got a slice on the day nearest to all the birthdays.

Little things like that helped me feel like I belonged. A lot of workplaces could take some suggestions from my experience.

[toppowerappstraining]

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Maintenance Officer (Instrumentation) at Cotton Company of Zimbabwe - February 2025

The Cotton Company of Zimbabwe is seeking a qualified and experienced Maintenance Officer specializing in instrumentation to join their team. This role is crucial for ensuring the smooth operation of their ginning sites. About the Role: The Maintenance Officer will be responsible for the maintenance, repair, and calibration of instrumentation and control systems at the Cotton Company of…