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How-Tos Tech Uncategorized

Prompt Engineering Explained: How to Talk to AI and Actually Get Results

While scrolling through my feed sometime last year, I stumbled on a job listing that stopped my thumb mid-air. The role was called Prompt Engineer and the salary attached to it had enough zeros to make a man reconsider his entire career path. I remember showing it to a friend and him squinting at the screen, “So they are paying somebody to just… talk to a computer?”
Well, he wasn’t entirely wrong. But he wasn’t entirely right either.

First, What Even Is a Prompt?


Before we get into engineering anything, let’s settle the foundation.
A prompt is simply what you type into an AI model. That’s it. When you open ChatGPT or Claude and type “write me a caption for my business page,” that sentence is your prompt. It is your instruction, your request, your way of telling the AI what you want.
Now here is where most people stop. They type something vague, get a vague answer back, shrug, and conclude that AI is overrated. However, they fail to realize that the quality of what comes out is almost always a direct reflection of the quality of what went in, and that relationship between input and output is exactly what prompt engineering is about.

Where Did the Phrase Come From?


To understand that, you need to know what is sitting on the other side of your screen when you type.
It is called a Large Language Model, or LLM. Think of it this way; imagine someone sat down and read virtually everything ever written on the internet. Every article, every textbook, every conversation, every Wikipedia page, every forum argument. After reading all of that, they developed a deep, almost supernatural ability to predict what word should come after the last word, and the one after that, and the one after that. String enough of those predictions together and you get something that sounds remarkably like intelligence.
That is essentially what an LLM is. It is not thinking the way you think. It is pattern-matching at a scale so enormous that the output feels like thought. Models like GPT, Claude, and Gemini are all LLMs trained on billions of pieces of text until they become very, very good at continuing whatever you start.
Now because these models are so sensitive to the way you phrase things, researchers and developers started noticing that small changes in wording produced dramatically different results. Ask the same question two different ways and you could get a brilliant answer or a completely useless one. This observation gave birth to the discipline of prompt engineering; the deliberate, strategic craft of designing inputs that consistently produce high-quality outputs from an LLM.
The phrase itself started appearing seriously in AI research circles around 2021 and by 2023 it had gone fully mainstream, job listings and all.

The Five Types of Prompt Engineering


Prompt engineering is not one thing, it comprises of several techniques to improve the model’s understanding and output quality, each suited to different situations. Let us break them down one by one.

1. Zero-Shot Prompting


This is what most people do without knowing it has a name. You give the AI a task with no example, no context, no explanation; just the instruction.
“Summarise this article.” “Translate this to Igbo.” “Write a birthday message for my aunty.”
You are shooting your shot without any warm-up. Hence, zero-shot.

2. Few-Shot Prompting


Here, instead of just giving the instruction, you give the AI a few examples of what you want before asking it to do the actual task. You are essentially showing it the pattern and then saying, “now continue in this same style.”
For instance, if you want the AI to categorise customer complaints in a specific way, you might show it three examples of how you want it done before feeding it the real data.

3. Chain-of-Thought Prompting


This one is particularly clever. Instead of just asking the AI for an answer, you ask it to show its work,\to reason through the problem step by step before arriving at a conclusion.
It sounds like this: “Think through this step by step before giving me your final answer.”
That one small addition can dramatically improve the quality of responses on complex problems; maths, logic, analysis, strategy. It is the difference between a student who guesses an answer and one who works through the calculation.

4. Role Prompting


This is where you assign the AI a character or identity before asking your question.
“You are an experienced financial advisor in Nigeria. A young professional earning ₦200,000 a month asks you how to start investing…”
By giving the AI a role, you are narrowing the lens through which it responds. It stops drawing from everything it knows and focuses on what that specific type of person would know, say, and prioritise.

5. System Prompting


This is less visible to everyday users but it is arguably the most powerful technique on this list. A system prompt is an instruction given to the AI before the conversation begins; it sets the rules, the personality, the boundaries, and the purpose of the entire interaction.
When you use a customer service chatbot on a company’s website and it only answers questions about that company, refuses to go off-topic, and always responds in a particular tone; that behaviour was defined by a system prompt written by a developer.

How to Write Better Prompts: 6 Practical Tips


Knowing the types of prompt engineering is one thing. Sitting in front of an AI and knowing what to type is another.

Start with a clear goal.

Before you type anything, ask yourself; what exactly do I want to walk away with? Vague goals produce vague prompts. Instead of “write something about my business,” try “write a 200-word Instagram caption for my catering business targeting working-class Lagos women between 25 and 40.” You have told the AI what to write, how long, where it will live, and who should feel spoken to. That is a prompt with a destination.

Give it context.

The AI does not know your life. It does not know your industry, your audience, or the specific situation you are dealing with, unless you tell it. Feed it the relevant background before asking your question. Include data if you have it. Reference a document if it matters. Define terms that might be interpreted differently depending on who is reading. The more context you provide, the less the AI has to guess, and guessing is where things go wrong.

Show it what you want.

When words are failing you, examples do the work. If you want a particular tone or style, show it two or three examples before making your actual request. This is few-shot prompting in practice, you are not just describing the target, you are pointing at it. The AI is extraordinarily good at recognizing and continuing patterns. Use that.

Be specific and precise.

There is a version of every prompt that is lazy and a version that is precise. “Write a long poem” is lazy. “Write a fourteen-line sonnet exploring the feeling of leaving your hometown for the first time” is precise. Quantify where you can. Break big requests into smaller steps when the task is complex. Treat it like giving instructions to a very capable new employee who knows nothing about your specific situation yet.

Ask it to think out loud.

Whenever you are dealing with anything that involves reasoning, a business decision, a problem you are trying to solve, an analysis of something , add this to your prompt: “think through this step by step before giving your final answer.” That small addition alone will improve the quality of complex responses more than almost anything else. You are not just asking for an answer, you are asking for the working behind the answer. The difference shows.

Keep adjusting.

Your first prompt is rarely your best one. If the output is not quite right, do not scrap everything. Change the phrasing. Add a detail you left out. Shorten the instruction or lengthen it. Good prompt engineering is iterative by nature, the same way a good writer does not publish their first draft.

Does Prompt Engineering Still Matter With Today’s Advanced Models?


Modern models like GPT-4o, Claude 3.5, and Gemini Ultra are dramatically better than their predecessors at understanding vague, poorly worded instructions. What would have required careful prompting two years ago now works reasonably well with a casual ask. In that sense, the barrier to entry has dropped significantly. You no longer need to study prompt engineering just to get useful things out of an AI.
But here is what hasn’t changed.


The ceiling of what you can extract from these models is still largely determined by how well you communicate with them. The difference between a mediocre prompt and a well-crafted one on a cutting-edge model is not as dramatic as it used to be at the bottom, but at the top, it is still enormous. Professionals who understand how to structure context, assign roles, chain reasoning, and design system prompts are consistently pulling results out of these models that casual users simply cannot reach.

So What Does This Mean For You?


It means two things.
First, you do not need to wait until you are a developer or a tech professional to benefit from the understanding prompt engineering. Whether you are a student, a content creator, a small business owner, or a job seeker, knowing how to talk to AI tools well is already giving some people an unfair advantage over others. That advantage is available to anyone willing to learn it.


Second, prompt engineering as a standalone career is likely to evolve rather than disappear. The people who will remain valuable are those who combine domain expertise with the ability to deploy AI effectively within that domain. A lawyer who understands how to use AI for legal research. A marketer who knows how to build AI-powered content systems. A teacher who designs AI tools for learning. The skill does not live in isolation, it multiplies whatever else you already know.

The friend who squinted at that job listing and said “so they are paying somebody to just talk to a computer” was not entirely wrong. But what he missed is that talking well; clearly, strategically, and with intention, has always been one of the most valuable skills a person can have.

And if you are considering becoming a prompt Engineer you can check out this OpenAI Doc

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Tech

The Compound Effect in Tech: How Consistency Beats Urgency When Upskilling

Every young Nigerian on a tech journey is familiar with the term, ‘Upskilling.’ At the workplace, in the media, at every tech conference or conversation the topic of upskilling is one that is always echoed.

Attached to this phrase is the urgency to upskill so that you aren’t left behind in the tech race, at the end you are left with a long list of courses you want to take which you eventually don’t take at all and even if you do, you never get to complete them.

The Real Problem With How Upskilling Is Sold

Instead of being guided through a realistic, step-by-step process, you are handed urgency and a destination. For instance, master Python in 30 days, become a data analyst in 8 weeks; with very little acknowledgment of what the journey actually looks like.

Social media makes it all worse because you get to only see the end product of a process that took tons of hours to accomplish. So, you are anxious, and the delusions that you are doing nothing increases. Once again, you try to hasten your learning pace, but again you fall flat to your face.

What Is the Compound Effect?

The concept of the compound effect was succinctly and efficiently explained by Darren Hardy in his book the compound Effect. In his own words, “The Compound Effect is the principle of reaping huge rewards from a series of small, smart choices. What’s most interesting about this process to me is that, even though the results are massive, the steps, in the moment, don’t feel significant. ”
What this means is that your small choices, including consistency and time produces significant results.

What does that mean for a techie on a journey to upskilling?


In simpler terms, it means you don’t have to start by looking for ways to short circuit your learning duration which is something that is frequently advertised. For instance instead of looking for YouTube tutorials that promise mastery of Data analysis within one month, you could start by making your learning a daily practice and In the initial period your process may seem invisible, but you are building momentum.

How Learning Momentum Works in Tech


If you’ve ever tried to learn a tech skill; Python, frontend development, data analysis; you’ve already felt it: that frustrating, slow, almost discouraging start where nothing seems to click.


At the beginning, it feels like trying to start a stubborn generator. You pull once, nothing. Pull again, still nothing. You check YouTube, adjust something small, try again. It sputters, but doesn’t quite come alive.That’s what the early stage of learning tech feels like.


You spend hours installing tools, fixing errors you don’t understand, and following tutorials line by line. You write code, run it, and it breaks. You tweak one thing, and something else breaks. At the end of the day, it feels like you’ve made no real progress. But if you stay with it, something subtle begins to happen. A concept clicks. Your code runs, just once, but it runs. You begin to recognize patterns. The same errors that confused you yesterday start to look familiar today.


You’re still putting in effort, but now the system is beginning to respond.Soon, you’re no longer just copying code. You debug with a bit more confidence. You open documentation without immediately feeling overwhelmed. You start connecting ideas: how one concept leads to another, how tools fit together.


Then, almost without noticing exactly when it happened, you cross a threshold. You can build small things on your own. You understand your errors more than you fear them, you start questioning tutorials.


Learning becomes less of a chore and more of a rhythm. From the outside, it looks like you’ve suddenly become “good at tech.” But what’s really happened is simpler: momentum has taken over.Now, every new skill builds on the last. You learn faster. You recover quicker when you’re stuck. Even when you take a break, it doesn’t take much to get back into flow.


That’s the power of momentum in tech.
The truth is, learning a tech skill isn’t difficult because it’s beyond you. It’s difficult because most people quit before things start to move. They mistake the slow beginning for a lack of ability, not realizing it’s just the natural resistance that comes before progress.
The ones who succeed aren’t necessarily smarter, they just stayed long enough for things to start working in their favor.

A Simple Daily Learning Framework for Tech Upskilling

Applying the compound effect does not require long, exhausting study sessions. It requires showing up consistently.

Most advice you will find online suggests a clean, structured routine: wake up early, study for an hour, build something, repeat. That sounds great in theory. In reality, you have a job, family obligations, NEPA taking light, data running out, or simply a day where motivation is nowhere to be found.

So here is a framework built around your actual life, not an ideal version of it.

On a good day, aim for 45–60 minutes or even 2 hours

  1. 10 minutes: Review. Before learning anything new, spend a few minutes revisiting what you covered last time. Re-read your notes, re-run your code, or just try to recall the key concept from memory.
  2. 25–30 minutes: Learn one thing. Not one course. Not one module. One concept. Watch a short tutorial, read a documentation page, or work through a single exercise. The goal is depth over speed
  3. 10–20 minutes: Apply it immediately. Write the code, sketch the wireframe, run the query, build the small thing. Even if it breaks. The moment you try to use what you just learned is the moment you find out whether you actually understood it.

On a hard day, aim for just 15–30 minutes:

Do not skip entirely. Open your laptop, re-read yesterday’s notes, watch one short video, run one line of code. It does not have to be productive in the traditional sense. The goal on a hard day is simply to maintain the habit signal, to remind your brain that this is something you do, not something you used to do.

On a completely lost day

Missing one day does not break momentum. Missing a week starts to. Missing two weeks and you are essentially starting over emotionally, even if the knowledge is still there. The recovery cost of a long break is majorly about rebuilding the psychological habit of showing up.

Track your consistency somewhere visible. Not to be rigid about streaks, but because seeing a pattern of effort is its own quiet motivation to keep going.

Is the compound effect still relevant in the age of AI


Yes, and here is why. With the current irresponsible use of AI producing garbage-in, garbage-out content, it is easy to doubt the necessity of a slow, disciplined approach to learning when you can retrieve any piece of information in seconds. AI promises to increase productivity and accelerate the learning pace. So why endure the slow grind of building skills from scratch when AI can hand you the output in seconds?
The answer is simple; what you need to compound has shifted, not the principle itself.


AI doesn’t replace thinking. It doesn’t replace judgment, discernment, or the ability to evaluate what is true, useful, or well-reasoned. If you haven’t built momentum in understanding fundamentals and critically assessing outputs, you will hand a powerful tool to an incompetent operator, and the results will show. The people winning with AI are not those who use it the most. They are those who have compounded the right foundations, curiosity, critical thinking, domain knowledge, and the discipline to go deep.


The Compound Effect is not less relevant in the age of AI. It is more important than ever because the gap between those who have built real understanding and those who haven’t is now wider and more visible than at any point in history. Compound wisely. The returns will speak for themselves.


And here is the exciting part, now that you understand the power of compounding the right things, our next article is going to show you exactly how to put AI to work for your growth. We are talking Prompt Engineering; the skill that turns AI from a fancy search engine into your most valuable learning companion. See you there.

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General Kickstart Mentorship News Social Tech Uncategorized

Empowering a Continent: Five Years of Techrity Championing “Tech for Good” in Africa.

For half a decade, the Techrity Innovation Foundation has been on a steadfast mission to transform Africa’s digital landscape. What began in December 2020 has evolved into a continental movement dedicated to bridging the digital divide. On October 25, 2025, Techrity marked its 5th Anniversary by celebrating this journey of empowerment at the fourth edition of its flagship conference, themed AIMPACT Africa, held in Port Harcourt.

The milestone event brought together over 500 innovators, entrepreneurs, and educators to explore how Artificial Intelligence (AI) and emerging technologies can drive inclusion, digital literacy, and sustainable development across the continent.

Grassroots Impact: The Road to Tech for Good

Techrity’s commitment to “Empowering a Continent” begins in the classroom. Leading up to the anniversary conference, the team embarked on the “Road to Tech for Good” outreach, visiting Rumuokuta Girls Secondary School and Community Secondary School. The mission was to inspire young students to view technology not just as a subject, but as a critical tool for shaping their futures and solving real-world problems.

To solidify this commitment to early access, Techrity sponsored 120 students from public and private secondary schools across Rivers State to attend the conference. A powerful highlight of their participation was the emergence of Emmanuel Amaechi, an SS1 student from Christ Army Educational School, as the winner of the interschool Q&A session. He received a ₦50,000 cash prize and a full Tech Scholarship from Mr. Chinoso Chijoke, Founder of Cupid Technologies.

Key Takeaways: The Moments and Highlights That Shaped the Conference

Opening the conference, Islamiat Arinola Oseni, Senior Project Officer at Techrity, described Tech for Good as “more than an event, it is a movement to leverage technology for empowerment, community growth, and social impact.” She highlighted Techrity’s commitment to bridging the digital divide through mentorship, capacity building, and inclusion-focused initiatives.

Delivering the 5th anniversary speech and  Impact story, Techrity’s Founder and Team Lead, Mrs Owanate Amachree, reflected on the foundation’s growth since its establishment in 2020. She said Techrity has evolved into “a pan-African force for social innovation and digital empowerment,” citing initiatives such as Hack for Good, the Techrity Mentorship Program, the Kickstart Initiative, and the Laptop Support Scholarship. “Technology has the power to redefine Africa’s growth narrative. At Techrity, we are building an ecosystem that enables learning, innovation, and impact,” she said.

The Keynote Sessions offered thought-provoking insights into the transformative power of technology in shaping Africa’s digital future. Mr Kenneth Nwokoro opened with “Building an Inclusive Digital Economy: Empowering Communities and Closing the Digital Divide,” emphasising the need for equitable access to technology and digital opportunities across all communities. Chimene Chinah followed with “AI for Inclusive Growth: Harnessing Artificial Intelligence to Drive Africa’s Transformation,” exploring how artificial intelligence can catalyse sustainable development and inclusive progress across the continent.

The Guest Speakers further enriched the discussions with practical perspectives on innovation and empowerment. Mrs Amarachi Stanley-Duru delivered a compelling session on “Shaping Africa’s Workforce for the Future: Embracing Digital Transformation and Skills Development,” highlighting the importance of upskilling and adaptability in a rapidly evolving world. Mrs Karla Obakpolor rounded off the segment with “Building for Social Good: Scaling Innovation and Creating Impact,” emphasising the role of purpose-driven innovation in driving meaningful change across Africa.

The Speaker Session featured Harmony Elendu, who delivered an insightful presentation titled “People Behind Models: How AI is Elevating Careers and Skills Expansion.” Her talk shed light on the human side of artificial intelligence, exploring how AI is transforming industries and empowering individuals to build new skills, enhance their careers, and thrive in the digital age.

The conference also featured engaging panel sessions, lightning talks and a fireside chat that explored innovation, inclusion, and Africa’s digital future. The first Panel Session focused on the topic, From Learner to Leader: Forging a Resilient Tech Talent Pipeline through Ecosystem Collaboration hosted by Bliss Isioma Ajie (HR/Operations Manager, Mently) and the Panelists were Richard Pepple (Founder, Technoville) and Shammah Nei (Director, Engineering Philanthrolab), The second Panel session focused on Navigating The New Financial Frontier: Regulation, Innovation and The Future of Crypto in Nigeria hosted Mr Godwin Jimmy (CTO, Dantown HQ) and the panelists were Godfrey Kelechukwu (Founder, Boardroom), Favourite Henry (Product Marketing Manager), Chininso Chijioke (Founder, Cupid Technologies), The Third Panel session focused on the topic, The Global Talent Playbook: Unlocking Remote Opportunities and Building a Competitive African Workforce, was moderated by Fano Oyin Jessica, Techrity’s Chief Administrative Officer. Panellists included Lloyd Otu, Co-Founder of TalentPoel, and Newton Adiari Newton, Product Manager at Cre8Space Africa, shared insights on remote work, digital tools, and how African youths can compete in a borderless economy.

The fireside chat with Julian Duru (ex Moniepoint engineer and now an independent researcher) hosted by Daniel Obiyo (Founder, Quint Impact Initiative), offered an inspiring story of resilience and leadership, as he discussed personal experiences and lessons from Africa’s evolving innovation space.

The Lightning Talk Breakout Sessions featured a series of simultaneous, high-energy presentations where speakers shared unique insights on technology, creativity, and artificial intelligence. Chibuzo Madumere explored “From Curiosity to Code: How AI and Creativity Empower Tech Beginners,” emphasising how innovation often begins with curiosity. Opuine Kayode Fowora presented “AI for Differentiated Instruction & Inclusivity: A Teacher’s Perspective on Empowering Every Learner with AI,” shedding light on AI’s role in inclusive education. Yves Kwameh V. delivered “Beginner Skills You’ll Need Before the Boots Take Your Briefs,” a dynamic talk on essential skills for those starting their tech journey. Numbere Tehila Tamunobakam discussed “Agentic AI and Liability: Who Bears the Burden When Mishaps Occur?” examining accountability in the age of intelligent systems. Meanwhile, Precious Sunday inspired attendees with “Unlocking the Future: Navigating Tech’s Uncharted Territory,” encouraging bold exploration of technology’s evolving landscape.

A key highlight of the event was the official launch of Made for Good, presented by Peculiar Akinloye, Techrity’s Operations Manager. Made for Good is a purpose-driven brand that embodies the spirit of paying it forward using proceeds from its merchandise and initiatives to support causes such as providing laptops, internet data, and digital tools for young Africans. The initiative also connects startups, organisations, and innovators working on technology-driven impact projects across the continent. According to Akinloye, the platform aims to “promote partnerships, shared learning, and scalable innovation for development.

In addition, there was the Techrity Laptop Support Scholarship presentation. This initiative equips young Nigerians with laptops, internet access, and mentorship to enhance their digital skills and create career growth opportunities. Following a transparent selection process guided by passion, need, and commitment to social good, 11 (eleven) young Nigerians were awarded laptops, data support, and mentorship to boost their digital careers at the conference. Among these beneficiaries were Ikordeme Confidence Barikui, Onaeko Emmanuel Oladipupo, Ozuru Irenma Pearl, Ozuru Olanma Jewel, Philomena Nkereuwem Nyah, Iyke Victor Chidera, Winner Osinachi Offor, Elekwachi Zion Chibuchi, Emeka Victor Chigozie, Okonkwo Ckaima Peniel, and Ebubechukwu Osy-Uzoekwe. “We believe in using technology to transform lives, one person and one community at a time,” Oseni said.

Another major highlight of the day was the Techrity Social Impact Awards, which honours individuals and organisations using technology to drive mentorship, digital inclusion and social good. The award recipients included Renaissance Innovation Labs (Tech Community Partner of the Year), Kenneth Nwokoro ( Social Impact Award (Mentorship), Stakeholders Democracy Network (Social Impact Award – Tech for Gender Equality), Bright Chinenyeze (Social Impact Award (Digital Inclusion Advocate), Richard Sodienye Pepple (Social Impact Award – Mentorship), and Richard Tamunotonye (Social Impact Award – Mentorship).

A Five-Year Legacy and a Call to the Future

In just five years, Techrity has grown into a global community of 886 innovators with over 12,000 digital followers across Nigeria, Kenya, India, Botswana, Ghana, Rwanda, and Uganda. Through initiatives like the Kickstart Initiative, which has provided 35 laptops and ₦5 million in data support, and a mentorship program engaging over 100 participants, Techrity is actively nurturing Africa’s next wave of tech talents.

The success of the 5th anniversary celebration was bolstered by several partners, including Dantown (Key donor and partner for the Laptop Support Scholarship), Productsio, TalentPoel, Cre8Space, Artful Media, Cupid Technologies, Volunteers Crib, Mently, and Made for Good.

In her closing remarks, Owanate Amachree thanked all partners, speakers, and volunteers for their contributions, noting that “the true impact of Techrity lies not only in its social impact programs but in the lives we transform.” She reaffirmed the foundation’s goal to continue empowering Africans through technology, mentorship, and innovation — inspiring, coaching, and building for social good.

As part of its five-year milestone, Techrity is extending an open call to corporate partners, development organisations, startups, and philanthropists to collaborate in building the future of young Africans through mentorship, digital education, and social impact programs designed to bridge gaps in unemployment, inclusion, and opportunity across Africa. 

Let us drive this mission together by equipping young people with laptops, internet access, and digital skills, fostering innovation through SDG-focused hackathons and mentorship programs, and promoting inclusion and gender equality through technology-driven education.

Watch the full documentary of how we have championed tech for good in Africa on our YouTube Channel.

Organisations and individuals interested in partnering can reach out via hello@techrity.org or visit www.techrity.org to learn more.

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Uncategorized

AI at Work: Will A Robot Be My Next Colleague?

Image credit: freepik.com

From scheduling meetings to brainstorming ideas, AI is reshaping the workplace. But will it replace you or empower you?
The workplace is currently experiencing a massive transformation. Artificial intelligence (AI) is no longer a futuristic dream but an active force shaping how we work. From virtual assistants managing schedules to advanced AI models generating creative content, the integration of AI into our daily workflows is accelerating. The question remains: Will AI replace human workers or serve as a valuable colleague, enhancing productivity and efficiency?
This article delves into AI’s role in the workplace, exploring its impact on job roles, automation, and how we collaborate with technology. We will examine the rise of robot assistants, the future of automation, and how professionals can adapt to an AI-driven work environment.

The Rise of AI in the Workplace

Artificial intelligence has become an essential part of modern business operations. Companies across industries leverage AI-powered tools to improve efficiency, reduce costs, and enhance decision-making. AI is no longer confined to tech giants; small businesses, healthcare providers, financial institutions, and retail chains are all integrating AI into their operations.

How AI is Changing Workplaces

AI is changing workplaces in the following ways:
1. Automating Repetitive Tasks: AI excels at handling repetitive and time-consuming tasks, such as data entry, appointment scheduling, and customer service inquiries.
2. Enhanced Decision-Making: AI-driven analytics provide businesses with deep insights, helping managers make informed decisions based on real-time data.
3. Personalised User Experience: AI-powered recommendations and predictive analytics personalise customer interactions, improving satisfaction and engagement.
4. Workforce Augmentation: AI does not necessarily replace employees but augments their abilities, enabling them to focus on strategic and creative work.

Examples of AI in Action

  • Chatbots and Virtual Assistants: AI chatbots like ChatGPT, Siri, Gemini, and Google Assistant streamline communication by answering queries and performing tasks. Businesses also use AI-driven chatbots like Ziva and Leo to handle customer inquiries, reducing wait times and improving service.
  • AI in Finance: Financial institutions rely on AI algorithms for fraud detection, credit scoring, and investment analysis.
  • AI in Healthcare: AI-powered diagnostic tools assist doctors in identifying diseases, enhancing accuracy and efficiency.

Robot Assistants: Colleagues, Not Competitors

Image credit: freepik.com

One of the most visible manifestations of AI in the workplace is the rise of robot assistants. These AI-powered tools and machines are designed to collaborate with humans, improving efficiency rather than replacing human workers.

How Robot Assistants Benefit the Workplace

  • Increased Productivity: Robots can work 24/7 without breaks, ensuring continuous operations.
  • Cost Savings: Automating tasks reduces labour costs and minimises errors.
  • Improved Safety: In high-risk industries like construction and manufacturing, robots handle dangerous tasks, protecting human workers.
  • Enhanced Creativity: By taking over tedious tasks, AI allows employees to focus on innovation and problem-solving.

The Future of Automation and Job Roles

While AI-driven automation is changing how we work, it also creates new jobs. The future workforce must adapt to an AI-integrated environment, focusing on skills that complement automation rather than compete with it.

Job Roles That will be immensely Affected by AI

  • Repetitive Task-Based Roles: Jobs that involve routine, predictable tasks—such as data entry, telemarketing, and certain administrative functions—are more susceptible to automation.
  • Customer Service and Support: AI chatbots handle basic inquiries, reducing the need for extensive customer support teams.
  • Manufacturing and Logistics: Robotic automation in warehouses and factories is reducing reliance on manual labour.
  • Financial Analysis: AI-driven predictive analytics assist in risk assessment, investment management, and fraud detection.

Emerging Job Roles

AI is not just eliminating jobs—it is also creating new ones. As automation takes over repetitive tasks, new roles are emerging in AI development, maintenance, and ethics.

  • AI Ethics Consultants: Ensure AI systems are transparent, fair, and unbiased.
  • Data Scientists: Analyse large datasets to derive actionable insights.
  • AI Trainers: Teach AI models to improve accuracy and reliability.
  • AI Maintenance and Support Specialists: Ensure AI-driven systems function efficiently.

Skills for the AI-driven workforce

To stay relevant in an AI-powered workplace, professionals need to develop the following skills:

  • Critical Thinking: AI excels at processing data, but humans are needed for interpretation and strategic decision-making.
  • Emotional Intelligence: AI lacks human empathy, making soft skills essential for leadership and teamwork.
  • Adaptability: The ability to learn new technologies and adapt to changing job requirements will be crucial.
  • AI Literacy: Understanding how AI works and leveraging it effectively will be key skills across industries.

Will AI Replace or Empower Workers?

Image credit: freepik.com

The debate over AI replacing jobs versus empowering workers continues. The truth lies somewhere in between. While AI will inevitably automate specific tasks, it will also enhance human capabilities, leading to greater efficiency and innovation.

Ethical Considerations and Challenges

Despite its advantages, AI poses ethical and social challenges:

  • Job Displacement: Certain roles may become obsolete, requiring reskilling initiatives.
  • Bias in AI Systems: AI algorithms can reflect biases in training data, leading to ethical concerns.
  • Privacy and Security Risks: AI systems collect and analyze vast amounts of data, raising concerns about data security and privacy.

Preparing for the AI-Integrated Future

Organizations and employees alike must prepare for an AI-driven future. Here’s how:

What Organizations Can Do

  • Invest in Employee Training: Providing upskilling opportunities ensures a smooth transition to an AI-powered workplace.
  • Adopt Ethical AI Practices: Implementing transparent AI governance prevents bias and ensures fairness.
  • Foster Human-AI Collaboration: Encouraging teamwork between AI tools and human employees maximizes productivity.

What Employees Can Do

  • Embrace Lifelong Learning: Staying updated with AI trends and acquiring relevant skills will enhance career prospects.
  • Develop a Growth Mindset: Being open to change and continuous learning will make employees more adaptable.
  • Leverage AI Tools: Understanding how to use AI effectively can enhance productivity and job performance.

Final Thoughts

AI in the workplace is here to stay. Rather than fearing automation, professionals should focus on automation to enhance their skills and productivity rather than fearing it. The future of work isn’t about humans vs. robots—it’s about working together for more incredible innovation and efficiency.
As AI continues to evolve, the key to success will be collaboration, adaptability, and a commitment to lifelong learning. Whether AI becomes a valuable colleague or a disruptive force depends on how we choose to integrate and manage it within our workplaces.

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How-Tos Tech

How Techrity is Building Africa’s Tech Workforce with The Opportunity Board

Introduction

The African tech space is leading in the global digital revolution, with the largest youth population brimming with potential. This agile, young, and creative population is poised with problem-solving skills, motivation, and the ability to compete on a global scale

What This Means for Africa and The Tech Space

According to Statista, over 28 million jobs in Nigeria and 17 million in Kenya will require digital skills by 2030. The number of jobs requiring digital skills in Africa is expected to grow exponentially annually, with a high demand for skilled, vibrant, and motivated tech talent.

Africa is rightly positioned to take advantage of the current shortfall in the global tech workforce. This is due to a report from the World Economic Forum (WEF) in 2017, which stated that Sub-Saharan Africa is the world’s youngest region. By 2030, the continent’s working-age population is set to increase by two-thirds, from 370 million adults in 2010 to over 600 million in 2030.

Yet a significant gap persists between the skills available, access to work tools, opportunities, and demands of the rapidly evolving digital economy.

The Growing Problem

Sub-Saharan Africa has the world’s second-largest youth population after Asia. With more than 60% of its population under the age of 25, Sub-Saharan Africa is already the world’s youngest region today – and, by 2030 more than one-quarter of the world’s total under-25 population.

However, skilled professionals in the tech industry struggle to connect their skills to available opportunities. Many struggle with unreliable job postings and limited access to opportunities, such as a lack of data and a laptop, to help them on their career journey.

This is a far cry for a continent that currently has 13% of the world’s working-age population, which is set to increase rapidly to more than 17% by 2030.

A New Dawn for African Tech Professionals

Techrity is stepping up to provide a bold and innovative solution; the Opportunity Board is a platform designed to connect aspiring African professionals with the resources and openings they need to amplify their hard work and talent.

The Opportunity Board will be more than just a job board; it is a home for techies like you and the next generation of professionals to gain access to everything they need to get a job, learn a new tech skill, get data support to enter the tech space, master a tech skill, and digital tools to aid their work.

Connecting Talents with Opportunities

At its core, the Opportunity Board is a vital link between African talent and the global marketplace. It curates a diverse range of opportunities, including:

Job Openings

The board features listings from companies across various tech sectors actively seeking African talent, from entry-level positions to senior management roles.

Internships

Recognizing the importance of practical experience, the platform highlights internship programs that allow students and recent graduates to gain valuable on-the-job training.

Mentorship and Training Programs

To address skills gaps, Techrity partners with leading technical professionals, educational institutions and tech companies to offer guided mentorship training programs, workshops, and certifications that equip individuals with in-demand skills.

Laptop and Data Support

Financial and connectivity constraints can often hinder further learning and training for tech enthusiasts in Africa. The Opportunities Board provides information on how to apply for unlimited access to laptops, grants, and data support from several organizations specifically targeted at African professionals.

Volunteer Opportunities

Get real-world experiences to master your skills with many listings and volunteer opportunities from credible tech companies. These opportunities allow individuals to give back to their communities and make a meaningful impact in the tech space.

Who is This Platform For?

  • Techies looking to compete globally from Africa
  • Motivated and enthusiastic tech talents that do not have access to data to continue learning and mastering a tech skill
  • African tech companies looking to hire the best tech talents in Africa
  • African tech talents looking to practice their skills in a reputable startup through an internship
  • African tech professionals looking for digital work tool support to enable them compete equally.

Empowering You for The Future You Deserve

Beyond simply listing opportunities, Techrity aims to empower individuals with all they need to make informed career decisions. The opportunity board also offers resources such as:

Career Guides

Providing insights into different tech roles, required skills, and career paths.

Salary Benchmarks

Helping individuals understand their market value and negotiate fair compensation.

Company Reviews

Offering insights into company culture and employee experiences

Conclusion

Techrity’s Opportunity Board is transforming tech hiring in Africa by addressing the core challenges faced by job seekers, tech enthusiasts and employers. The platform creates a more efficient and inclusive job market by connecting talents to unseen opportunities and facilitating global job access.

Whether you’re a tech professional seeking your next opportunity, need data support, workplace tools for productivity, or an employer looking for top-tier talent, Techrity’s Opportunity Board is the ideal solution.

It’s a platform to watch and that holds immense promise for unlocking the continent’s vast potential.

Categories
Career advice How-Tos Team Management

How Remote Workers Are Staying Motivated During the Holidays

Christmas, Easter, Salah, National Days, no matter the one, the holiday season can be challenging for freelancers who need to stay productive while the world takes a break. If you are a newbie freelancer experiencing the holiday season for the first time, it can all be overwhelming.

While some established freelancers might have the luxury or freedom to take days off during the holidays, others might not. Imagine having to deal with tasks on Christmas Eve while your family is two rooms away laughing over Home Alone 2 (that is a Christmas classic; no one should be missing that!). 

So how do you, as a remote worker, stay motivated during these festive periods, complete tasks, and still manage to celebrate? This article bares all the tricks to escape “vacation mode.”

First Things First, Should I Be Working During Holidays?

The holiday period allows remote workers to spend more time with family, travel, or focus on that hobby they’ve been ignoring all year. Most freelancers make enough to turn down jobs during this busy time of the year. 

However, people new to their respective niches or industries might not have that luxury. The holiday period presents an opportunity for some to earn extra cash heading into the new year.  

Remember that flexibility is one of the reasons people work remotely. People who work from home can go grocery shopping in between checking off tasks from their holiday jobs. But this has big implications. 

It sometimes encroaches on the work-life balance, and if your client is in a different time zone or simply impatient, you might have a harder time than most. But it is perfectly normal to work during the holidays if you can manage to do so and still keep up with the festivities.

Six Ways To Self-Motivate During the Holidays

Image from Unsplash

For the most part, the holiday spirit and desire to lay in bed all day sets in. You stare at blank screens where codes should be. In the worst-case scenario, instead of feeling the Christmas spirit, you get Christmas blues. How can you stay on top of your goals and complete your tasks? 

1. Redecorate Your Workspace

Holiday decorations add to the feel of the season and the celebration. Most of the time, they kindle joy and happiness for the spirited. Imagine the dopamine rush you could get just by staring at that winter wonderland snow globe. If candles, lights, and paper ornaments are more your style, please use them around your office or directly on your desk. The goal is to add elements of the holiday season that trigger happy thoughts and feelings, keeping you enthusiastic in your home office.

2. Set Up Holiday Schedule

Tis the season of good cheer, but ’tis also the season of busy schedules and, sometimes, marketing budget cuts. If you seek career or business growth during the holidays or are new to remote work, you desperately need a holiday schedule. While this might seem out of character for the traditional nature of what freelance workers are used to, it will do you a world of good. For one, it will help you find that work-life balance and avoid “desk-rotting.” Here are a few tips to set up that EOTY holiday schedule:

  • Prioritize tasks
  • Organize according to deadlines and difficulty
  • Take meal breaks, chore breaks, and family time 
  • Use panner tools

3. Reward Your Milestones and Progress

The concept of self-reward might seem a little difficult for most people but it is a great way to stay highly motivated during the holidays. You are never going to run short of distractions during festive seasons. Even if you live alone, you still need to make visits, jump on personal calls, receive visitors, or make a snack. 

You could factor in walks, snacky treats, half an hour of leisure, or a warm bath as rewards for progress recorded on your tasks. This not only motivates you to do so much more, it also helps you to complete it in record time. You look forward to the next tasks and earn the reward it brings.

4. Open Communication With Clients

Image from Unsplash

It’s easy to get sidetracked and lost in the festivities, and you forget how serious certain projects on your desk are. Keeping an open communication allows for effective two-way conversations during this season concerning assigned tasks. But it makes sense first to communicate the extent of your availability and how frequently they can reach out. This helps all parties involved set and understand clear boundaries but remain flexible.

5. Don’t Ignore Sleep

You cannot expect to maintain high levels of motivation if you are not well-rested. What better time of the year to do so than on the holidays? Sleep is a form of self-care, but it does more than eliminate fatigue. It clears the mind and resets your stress levels. If you don’t get enough sleep during the day because of your work schedule, then night’s rest must be unnegotiable. 

If you are struggling with committing to hours of needed rest, remember that in the long run, this could affect your productivity and concentration. While your busy schedule might not allow you to sleep over long hours, you can keep a regular sleeping and waking schedule. Most freelancers say they make out time for afternoon siestas if they stare at the screen too much.

6. Give Yourself Much-needed Breaks

All work and no play certainly makes Jack a dull freelancer. And all the endless notifications, emails, and irregular distractions can hamper your motivation and productivity. This is why you must give yourself breaks between tasks when you run out of creative juices. 

If you require technology-free timeouts, go for fresh air, meditate a little, or read a few chapters of your current reading list. Taking several short breaks over the day aims to boost your creativity levels and clear your clogged mind.

Conclusion

We are all about surviving these busy schedules while remaining adaptable and flexible. But you need your motivation levels to beat the top and your well-being. With these few tricks and tips, you can stay ahead of your schedules and tasks as you look forward to the new year. Got any more tips for how you are staying motivated these holidays? Share them below!

If you are feeling demotivated this holiday season, join our community at Techrity, where tech and dev professionals work from home and share their experiences.

Categories
Hackathon Mentorship Social Team Management Tech For Good

From Waste to Worth: Revolutionizing Recycling with GreenBounty

Introduction

Did you know that over 2.1 billion tons of waste are produced globally each year, yet only 16% is effectively recycled? This shocking statistic underscores a critical need for innovative solutions in global waste management.

My name is Gold Nse Nseuwem, and together with my incredible team—Nathan-Trust Ekanem (Frontend Developer), Uwakmfon Ekong (Project Manager), and Mercy Vincent (Backend Developer)—we developed GreenBounty during the Techrity Hackathon Challenge 2024. Our mission? To redefine recycling by making it rewarding, accessible, and impactful.

The Problem

In many communities, waste mismanagement remains a persistent challenge. Limited awareness, lack of motivation, and inefficient recycling systems result in:

  • Overflowing landfills
  • Pollution
  • Wasted resources

Without practical and rewarding solutions, people often feel unmotivated to take meaningful steps toward sustainability. This inspired us to create a system that transforms the recycling process into a rewarding habit.

The Solution: GreenBounty

GreenBounty bridges the gap between awareness and action, empowering individuals to turn waste into worth. Our platform makes recycling simple and incentivized.

How It Works:

  1. Collect Waste: Users gather and sort recyclable materials.
  2. Submit Waste: Convenient pickup and drop-off options are provided.
  3. Earn Rewards: Users receive Eco-Coins—a digital currency—for every item recycled.
  4. Redeem Benefits: Eco-Coins can be exchanged for rewards, making recycling both impactful and rewarding.

By encouraging participation, GreenBounty inspires communities to adopt sustainable habits while creating a cleaner, greener planet.

Hackathon Experience

The Techrity Hackathon Challenge 2024 was an exciting, fast-paced journey. As a team, we collaborated, brainstormed, and overcame challenges to bring GreenBounty to life.

Meet the Team:

  • Gold Nse Nseuwem: UI/UX Designer
  • Nathan-Trust Ekanem: Frontend Developer
  • Uwakmfon Ekong: Project Manager
  • Mercy Vincent: Backend Developer

This experience not only strengthened our technical and problem-solving skills but also reinforced the power of teamwork in creating impactful solutions.

Future Development

While GreenBounty has already demonstrated its potential, we envision even greater possibilities:

  1. Enhanced Features: Incorporating analytics to measure individual and community recycling impact.
  2. Global Expansion: Scaling the platform to serve more regions and communities.
  3. Collaborations: Partnering with recycling agencies, businesses, and local governments to enhance accessibility and adoption.

Our ultimate goal is to make recycling engaging, accessible, and impactful for all, creating a global ripple effect of positive change.

Conclusion

GreenBounty is more than a platform—it’s a movement to redefine waste management. By incentivizing recycling, we aim to inspire a culture of responsibility, reward, and sustainability.

Our participation in the Techrity Hackathon Challenge 2024 was a turning point. It allowed us to merge diverse skills and ideas into a unified vision that addresses a pressing problem while encouraging people to take action for a better future.

Let’s turn waste into worth, one step at a time. Together, we can make sustainability rewarding and redefine how the world manages its waste.

Join us in recycling, rewarding, and redefining the future with GreenBounty.

Categories
Hackathon Social Tech For Good

Bridging the Gap in Hiring: The Journey of AssessMe.AI at Hack for Good 2024

Introduction
Hello! I’m Aaditya Srivastava, a Computer Science student specializing in Artificial Intelligence. This year, I had the incredible opportunity to participate in Hack for Good 2024, an esteemed challenge hosted by Techrity. During the event, I introduced AssessMe.AI—a platform aimed at revolutionizing the recruitment and assessment process using AI-driven automation.

The Problem
The hiring process today is fraught with challenges. Companies struggle to attract suitable candidates, ensure fairness, and make data-driven decisions efficiently. These gaps can lead to prolonged hiring cycles, missed opportunities, and even harm to an organization’s reputation.

The Solution: Introducing AssessMe.AI
AssessMe.AI is a comprehensive solution designed to tackle these recruitment challenges. It integrates AI-driven tools to automate, enhance, and simplify hiring workflows for both recruiters and candidates.

Key Features:

  1. Personalized Assessments
    • For Candidates:
      • Curate interview questions tailored to their preparation needs.
      • Conduct AI-powered virtual interviews.
      • Receive detailed feedback and analytics across six key interview parameters.
    • For Recruiters:
      • Host personalized interview assessments.
      • Use virtual AI interviews for unbiased evaluations.
      • Rank candidates based on actionable insights and performance data.
  2. AI Feedback and Analytics
    Candidates gain valuable insights into their strengths and areas for improvement, while recruiters receive a ranked list of candidates to streamline decision-making.
  3. Intuitive User Interface
    The platform ensures a seamless user experience for both recruiters and job seekers through its modern, responsive design.

How It Works

  • Candidate Preparation: Candidates can curate self-interview questions, customize their sessions, and receive feedback based on detailed analytics.
  • Recruiter Assessment: Recruiters can host tailored AI-driven assessments, with results and rankings automatically generated for efficient evaluation.

Technologies Powering AssessMe.AI
To create a robust, user-friendly platform, AssessMe.AI leverages:

  • Next.js & React.js: For fast server-side rendering and responsive UI.
  • TypeScript: Ensuring error-free, maintainable code.
  • TailwindCSS & Shadcn UI: Delivering a sleek, modern design with rapid development capabilities.
  • OpenAI Whisper API: Enabling advanced speech-to-text for accurate transcriptions and analysis.
  • React Flow: For visualizing recruitment workflows with clarity and precision.

Hackathon Experience
Participating in Hack for Good 2024 was both challenging and rewarding. It pushed me to explore new dimensions of problem-solving, including:

  • Enhancing AI prompts to generate precise, JSON-formatted answers.
  • Reducing latency in audio outputs for smoother user interactions.
  • Testing and debugging incrementally proved critical for optimizing algorithms.

Through this experience, I learned that refining code step-by-step significantly improves efficiency. Each hurdle helped me grow as a developer, sharpening my technical and analytical skills.

AssessMe.ai Demo presentation at Hack for Good 2024

AssessMe.ai Demo presentation at Hack for Good 2024

Impact and Future Prospects
AssessMe.AI has the potential to transform the recruitment landscape by:

  • Reducing time-to-hire by up to 50%.
  • Ensuring fairness and improving hiring quality through data-backed decision-making.

Looking ahead, I aim to scale AssessMe.AI globally, tailoring it to meet the unique needs of diverse industries and businesses worldwide.

Conclusion
I am immensely thankful to Techrity for organizing Hack for Good 2024. This platform not only gave me the chance to showcase AssessMe.AI but also offered a space for growth, innovation, and collaboration.

The journey doesn’t end here. I remain committed to enhancing AssessMe.AI—a platform that bridges the gap between candidates and recruiters, making hiring faster, fairer, and more effective.

Thank you for following my story, and I look forward to what the future holds!

Categories
General Software Tech

The Rise Of No-code And Low-code Development

The primary goal of no-code and low-code platforms is to make the building process of software simpler and faster. These tools have been designed to minimize the necessity of extensive coding knowledge by making it quite easy for users to build applications with limited technical knowledge.

Right now, I am going to take you through the difference between No-code and Low-code platforms.

AI generated image

No-code Platforms

No-code platforms are tailored to users who have no programming knowledge. They leverage visual interfaces where users can design and build applications through drag-and-drop functionality. Essentially, no-code platforms abstract away the complexity of programming languages by providing pre-built components that can be assembled into fully functional applications.

No-code platforms allow users to create simple websites and mobile apps to complex business process automation tools and even Customer Relationship Management (CRM) systems. Popular examples include Wix, Bubble, and Airtable.

Low-code Platforms

Low-code platforms target the user who perhaps can understand coding or at least feel comfortable writing a small amount of code. These tools offer more flexibility than no-code options but still greatly reduce how much code needs to be written in application development.

Low-code platforms do support faster development compared to traditional coding; at the same time, they provide an drag-and-drop interface for easy design, while also allowing developers to create custom code for more advanced functionality. Examples of low-code platforms include OutSystems, Mendix, and Microsoft Power Apps.

While no-code platforms are targeted at non-technical users exclusively, in the case of low-code platforms, both technical and non-technical users have a wider scope for complexity and customization with the possibility of rapid development.

Why Are No-code and Low-code Platforms Gaining Popularity?

1. Shortage of Developers: One of the main reasons for the increasing interest in no-code and low-code platforms is the continuous shortage of professional developers. While the demand for tailor-made software and digital solutions grows, it is increasingly hard for businesses to fill in developer positions. According to LinkedIn, there is a huge gap in technological skills, and companies cannot find candidates for software developer positions.

No-code and low-code platforms alleviate this problem by making non-technical resources, popularly known as “citizen developers,” perform the tasks of app development. In other words, no-code and low-code platforms free business teams from the bondage of depending on IT departments or outsourcing agencies to develop applications for their specific needs. This is a big plus for SMBs that cannot afford to have full-time developers on their payrolls.

2. Faster Time-to-Market: In today’s fast-paced business environment, the ability to get products and solutions to market quickly is more important than ever. Traditional development cycles can take months or even years, especially for large-scale projects. No-code and low-code platforms dramatically shorten the development timeline, enabling businesses to create and deploy apps in a fraction of the time.

This speed is particularly valuable for startups and businesses in competitive industries looking to move as fast as possible to stay ahead of the curve. By embracing no-code and low-code platforms, these businesses can iterate and adapt more quickly-testing and refining ideas with minimal risk.

3. Cost Efficiency: Building custom software traditionally involves hiring a team of developers, designers, and project managers. These development projects tend to be expensive, and the costs can easily add up. No-code and low-code development platforms reduce the requirement for large teams, thus cutting down some of the costs related to app development.

No-code and low-code platforms are cost-effective methods for businesses to implement simple applications or develop internal tools. Beyond reduced development costs, the benefits also include lower maintenance expenses, since apps built on such platforms are typically easier to manage and update.

4. Agility and Flexibility: The fast-changing landscape of modern business demands solutions that can be quickly adapted and updated. No-code and low-code platforms offer businesses the agility to make changes in real-time, whether it’s adding new features, fixing bugs, or updating content.

Because these platforms allow users to change and develop applications without having to wait for extensive development cycles, businesses can quickly adapt to market conditions, customer needs, or internal demands. This level of flexibility means that companies can stay competitive, no matter how fast things change.

5. Empowering Non-Technical Users: No-code and low-code development platforms makes it possible for business professionals, marketers, and other employees to be directly involved in contributing to the development process of an application, hence reducing bottlenecks and allowing the business to scale up their operations with no sole dependency on IT.

No-code and low-code platforms provide the tools to the business users to build their own apps. Therefore, it fosters the collaboration of technical and non-technical teams. In turn, all of this builds up a more agile and responsive development process driven by real-world business needs.

Challenges and Considerations

Despite their many advantages, no-code and low-code platforms do not come without challenges and limitations.

  1. Scalability: While no-code and low-code platforms are great for small to medium-sized projects, they’re not always the right solution for enterprise-scale applications. Apps built on these platforms can start to encounter performance issues or struggle to scale with growing demand.
  2. Security and Compliance: All software applications are concerned with security, and no-code and low-code platforms are no exception. While some platforms offer robust security features, they may not meet the same rigorous standards as custom-built applications. For industries with strict compliance requirements (e.g., healthcare, finance), it’s important to thoroughly vet the platform to ensure it adheres to industry regulations.
  3. Limited Customization: Low-code platforms are more customisable than no-code platforms, but low-code platforms can be limited in one way or another. For instance, users may have very specific or complex features that require implementation beyond the capacity of the platform. In such cases, the development process may demand more specialised knowledge or may not be possible at all.
  4. Vendor lock-in: Many of the no-code and low-code platforms are proprietary, meaning the application built on such a platform is often tied to the vendor’s ecosystem. If you ever want to switch to another tool or migrate your app to traditional ways of development, it will be a cumbersome and painful process. To mitigate this risk, businesses should carefully evaluate platform options and consider long-term scalability before fully committing to a particular tool.

The Future of No-code and Low-code Development

The future of no-code and low-code development looks very bright. As these platforms continue to evolve, they will get much more powerful, flexible, and user-friendly. With the improvements in artificial intelligence (AI) and machine learning (ML), we are bound to see no-code and low-code platforms embed much more intelligent automation for much faster and more efficient development.

Moreover, as demand for software applications widens among various industries, no-code and low-code development platforms are positioned to further become highly instrumental in supporting business growth and innovation without requiring large teams of developers.

In the next few years, the future for no-code and low-code tools is probably in addition to usage by citizen developers, integration in enterprise software systems that will allow for hybrid development approaches whereby business teams will develop alongside IT professionals to create such powerful applications.

Conclusively, no-code and low-code platforms provide something for everyone-from entrepreneurs trying to develop their first app, corporate professionals who want to automate some process, all the way to a developer trying to get faster development lifecycles. Understanding the advantages, challenges, and future potential of these platforms gives companies the capability to leverage them to the fullest and shapes the path towards more agile and innovative software development.

Categories
General

Building Inclusive Tech: Why Designing Digital Tools for Underserved Communities is Important

Photo from Unsplash

Some decades ago, you needed different box-shaped bulky devices to listen to the news, listen to music, see a film, or even tell the weather. Today, with your handheld mobile phone and the Internet, you can reach billions of people and web pages while instantly networking with thousands.

In 2024, approximately 4.8 billion people, or 60.42% of the world’s population, will be smartphone users. This shows that the human race has undergone tremendous growth and change with the advancement of new digital tools and technologies. 

Despite these strides, regions without access to digital tools or limited traditional services and infrastructures are still disadvantaged.

The solution? 

This article contains that and more, including an explanation of underserved/marginalized communities and how to provide equitable access to the tech and digital tools they require.

Let’s go!

What are Undeserved or Marginalized Communities?

The concept of marginalization stems from a familiar word: margin.

Think of a sheet of a notebook. The margins are usually the extreme sides of the paper where you get to write numbers. 

The margins of the paper are very small and restricted away from the middle compared to the rest of the paper. With this in mind, we can deduce that marginalized communities are isolated, disempowered, or treated as insignificant relative to the rest. 

These underserved communities are victims of power and economic imbalances, making them susceptible to discrimination and neglect. In the modern society, access to digital tools are either restricted or nearly impossible for such communities. For instance, in India, 650 million people are without internet connection, making it the largest populace of individuals lacking internet connection in 2024.

Photo from Unsplash

In Africa, 87.4% of Burundi’s teeming population lives without internet access. The story isn’t much different in Nigeria. Despite recent positive internet penetration trends, 120 million Nigerians have zero access to mobile internet.

Citing just internet penetration, we can paint a picture of how millions of people from underserved communities will never benefit from certain technological improvements or digital tools like smartphones, the internet, fintech, and digital medical care. 

Marginalized and underserved societies are common in developing nations where millions live below the poverty line. These societies face several barriers and disadvantages, including:

  • Very limited financial infrastructure
  • Poor and slow infrastructural development
  • Poor educational resource
  • Geographical isolation

These factors have possibly accounted for growth stagnation or poor access to innovative digital solutions that could change lives. The global digital economy itself has few restrictions on entry. 

A teenager in the USA could sit in their room hunched over their laptop writing codes for companies or running cyber security services remotely. In an hour’s work, such a privileged teen can earn the yearly earnings of another teenager’s family of five from a disadvantaged community.

The difference?

Access to tech and digital tools at an early age.

But if traditional services and infrastructure have been historically non-existent, what then? 

Inclusive Digital Tools: Definition and Key Characteristics

Photo from Unsplash

Inclusive technology is any digital tool built to offer users equal access to key services and essential infrastructures despite their background or standing in the digital economy.

Without adequate infrastructure that stagnates underserved communities, individuals and well-meaning tech NGOs can bridge this digital divide gap. One of the foremost ways to do so is by providing transformative but inclusive digital tools and promoting digital inclusion campaigns.

These tech or tools foster digital inclusion ,which is simply the unrestricted use of Information and Communication Technology (ICT) by a populace irrespective of:

  • Age 
  • Ethnicity or race
  • Gender 
  • Cognitive ability
  • Socio-economic background 
  • Mobility 
  • Nationality 

Characteristics of Inclusive Digital Tools

Digital inclusion campaigns typically offer digital literacy training, access to the internet, online infrastructures, inclusive technology software, and hardware. For a tool to be considered inclusive, it should meet these criteria:

  • Affordable: Inclusive digital tools must be priced so that low-income or financially disadvantaged users can afford them. Subsidies or differently priced models should be available if possible.
  • Accessible: In addition to being affordable, inclusive digital tools should be easy to use, regardless of the user’s disability or level of education or literacy.
  • Versatility and Interoperability: The ability to function with different platforms and systems while offering variety marks a inclusive digital tool.
  • User-focused: An inclusive digital tool must be designed with user-centricity in mind. From design to manufacture to installation and use, these tools must meet the target user’s needs.
  • Wide Reach: Another mark of digital inclusive tech is its ability to reach large numbers of people with ease and precision while maintaining efficient scalability. 
  • Technical Support: Whether it’s multilingual options or the chance to speak to a skilled professional about existing issues, inclusive tools must have sound technical support so users can successfully and confidently utilize them. 

How Techrity is Bridging the Digital Divide

Techrity is one of Africa’s budding digital inclusion champions, serving underserved communities. When asked why we aspire to a digitally inclusive continent, we say, “Why not?”

Our society has many economic, political, and historical barriers. Nonetheless, through our mentorship programs and Tech For Good initiative, we foster fairness and equity while tearing down structural barriers. 

Techrity

One of the long term missions of Techrity is to onboard disadvantaged newbies in the tech scene with as little confusion and stress as possible. We do this through our effective Kickstart Program:

  • Data Support
  • Laptop Support
  • Mentorship

With this three-fold assistance towards the fight against digital inequity, we are ensuring that thousands of individuals gain needed IT skills, allowing underserved communities actively participate in the digital economy, and boost financial independence and employability!

You can be a part of this unique quest for change by donating here in a few easy steps or by joining our community.