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Tuesday

5 Key Technology Trends That Will Define 2026

11 November 0


By 2026, technology will be driven by AI, sustainability, and intelligent automation. Agentic AI will evolve from assistance to autonomy, while green computing, edge AI, and quantum systems transform industries. Immersive tools and robotics will reshape work and design, and new careers will emerge in AI, cybersecurity, and sustainability. This article breaks down the 20 new technology trends of 2026, the opportunities they create, and the future-ready roles that will lead this era of intelligent transformation.

Introduction

At 8:59 a.m., a marketer opens a dashboard where an AI agent has already built, tested, and costed a campaign overnight. By 9:10, that agent has launched personalized offers across channels, adjusted spend based on real-time clicks, and written the next batch of ad copy. It does not make headlines, but it is how marketing will run in 2026: autonomous, adaptive, and always on.

The challenge is pace. Systems are connecting, learning, and acting across the stack, from edge devices to cloud platforms. That speed is rewriting job scopes and team structures. The World Economic Forum projects that 23 percent of current roles will be disrupted by 2027, even as 69 million new, tech-centric roles open for those who can adapt.

Explore the top new technology trends shaping 2026, from AI-driven innovation to sustainable computing and intelligent automation, transforming industries worldwide.

Top 5 Technology Trends in 2026

1. Agentic AI and Autonomous Agents

With the start of 2026, the phrase “AI assistant” will sound outdated. The new reality is agentic AI, systems that can reason, plan, and act on their own. Picture an AI that not only drafts a marketing campaign but tests variations overnight, launches the top-performing version, and adjusts budgets as results come in, all before your first meeting of the day.

The Shift

AI is evolving from copilots that support humans to autonomous agents that handle end-to-end workflows. According to Research Nester, the autonomous AI market is projected to hit USD 11.79 billion by 2026, growing at a CAGR above 40 percent through 2035. This marks one of the latest technology trends redefining enterprise workflows, blending automation, reasoning, and adaptability.

The Payoff

Companies deploying agentic systems report faster decisions, reduced manual errors, and continuous optimization at a scale humans alone cannot match. A logistics firm can reroute hundreds of shipments in minutes, while a financial agent adjusts portfolios in real time to hedge against volatility.

The Opportunity

Agentic AI will open up new roles for professionals who can design, monitor, and scale these intelligent agents. Success will depend on understanding how to guide AI behavior, ensure ethical use, and align outcomes with business goals. Building those skills means learning prompt design, retrieval-augmented generation, and AI governance, capabilities covered in Professional Certificate in AI and Machine Learning, which helps learners move from using AI to leading it.

2. AI Governance and Regulation

AI governance will move from optional to operational in 2026, quickly becoming the center of technology trends and policy conversations. With the EU AI Act taking effect in 2025 and similar laws emerging across North America and Asia-Pacific, companies will have to prove that every model they use is transparent, fair, and bias-checked. The AI governance market, valued at USD 227.6 million in 2024, is projected to reach USD 1.4 billion by 2030, making compliance one of the fastest-growing domains in AI.

The Shift

Organizations will transition from reactive compliance to proactive governance. Model registries, fairness audits, and explainability dashboards are already becoming standard practice across industries and will become mainstays in 2026. In sectors like healthcare and finance, where algorithmic decisions directly impact lives, meeting these benchmarks is not optional; it is essential.

The Payoff

Governance is fast becoming a competitive advantage. Businesses that operationalize responsible AI early will not only avoid penalties but also build brand trust and investor confidence. Ethical AI frameworks will signal maturity, helping enterprises win customers and partnerships that value transparency.

The Opportunity

AI governance will create a new class of professionals who bridge technology, ethics, and regulation. Demand will rise for experts who can evaluate bias, manage model risk, and document AI decisions for accountability. Building this expertise starts with understanding how governance fits into real-world systems. Simplilearn’s Applied Generative AI Specialization equips learners with these skills, ensuring innovation stays compliant, explainable, and trusted.

3. Generative AI 2.0

By 2026, Generative AI will enter its next phase: moving from experimentation to enterprise-grade integration. What began as creative text or image generation is now expanding into multimodal, domain-tuned systems that combine text, visuals, code, and structured data with built-in retrieval, tool use, and governance. According to McKinsey’s Economic Potential of Generative AI, this technology could unlock USD 2.6 to 4.4 trillion in annual value across industries.

The Shift

Organizations are evolving from pilot projects to production-ready AI ecosystems. Models are being fine-tuned with proprietary data, deployed with retrieval-augmented generation (RAG), and embedded within secure, auditable workflows. These systems can now summarize contracts, draft code, or analyze medical records while maintaining traceability and compliance.

The Payoff

Adoption is no longer niche. McKinsey’s State of AI 2024 found that 65 percent of organizations now use generative AI regularly, with focus shifting from novelty to measurable ROI. Human-in-the-loop controls, evaluation metrics, and latency optimization are driving productivity while reducing risk and cost across enterprises adapting to new technology trends.

The Opportunity

The next frontier belongs to professionals who can fine-tune, deploy, and govern generative AI at scale. Mastering techniques in RAG, multimodal modeling, and policy-based evaluation will define future-ready talent.the Applied Generative AI Specialization equips learners with these skills, bridging the gap between experimentation and enterprise deployment.

4. Low-Code, No-Code, and AI-Assisted Dev

By 2026, low-code and no-code development will be at the heart of enterprise software creation. These platforms are turning business users into builders, helping teams move from months of coding to hours of prototyping. According to Gartner, the low-code development market is expected to reach USD 44.5 billion by 2026, fueled by demand for faster delivery and accessible design tools. Gartner also projects that 80 percent of technology products will soon be built by non-IT professionals using simplified methods.

The Shift

The next generation of tools combines low-code simplicity with AI-assisted development. From drag-and-drop automation to natural-language prompts, developers now describe intent while AI handles testing, scaffolding, and optimization. This convergence reduces IT backlogs and brings business and engineering teams onto a single creative canvas. Together, these tools showcase how latest technology trends are democratizing development and innovation.

The Payoff

The impact is measurable. In Google’s 2025 DORA Report, 90 percent of software professionals said they use AI daily, saving nearly two hours per day with coding copilots. This is evidence that collaboration between humans and machines is reshaping how software gets built.

The Opportunity

Professionals who can blend AI-powered automation with low-code logic will lead the next wave of product innovation. Skills in workflow orchestration, prompt-driven development, and governance are becoming essential. Simplilearn’s Applied Generative AI Specialization prepares learners to design and deploy these hybrid systems, helping organizations innovate faster and smarter..

5. Human-AI Collaboration Tools

In 2026, AI collaboration tools will move from sidekick status to true teammates in the workplace. The AI productivity tools market is projected to reach USD 36.35 billion by 2030, growing at a 26.7 percent CAGR, according to Grand View Research. This evolution marks a broader shift in technology trends, in which human creativity and machine intelligence coexist as partners in productivity rather than competitors.

The Shift

AI is no longer just assisting; it is co-creating. From generating marketing content to designing prototypes and writing production-grade code, AI systems are now active participants in team workflows. Improvements in explainability, contextual reasoning, and governance have made organizations confident enough to let AI contribute directly to creative and analytical decisions.

The Payoff

The best outcomes come from human-AI synergy. These tools accelerate complex work, minimize repetitive tasks, and enhance decision quality by combining human judgment with algorithmic precision. The result is a hybrid workflow where creativity scales, output multiplies, and productivity gains become measurable.

The Opportunity

The rise of intelligent systems is changing how teams operate, making human-AI collaboration a business necessity. To stay ahead, professionals must learn to integrate AI responsibly, craft effective prompts, and manage feedback loops that keep humans in control. The Applied Generative AI Specialization program provides the tools to do exactly that, preparing learners to lead in an AI-augmented workplace.
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Friday

Adapting to AI: 5 Future Proof Skills for the AI Era

29 August 0
As Artificial Intelligence (AI) transforms the workplace and automates routine tasks, the talents most sought after by employers are evolving. While job-specific knowledge remains essential in many sectors, human-centric skills are irreplaceable in virtually every field. By developing “future-proof” skills — often called durable or soft skills — you can establish yourself as an irreplaceable professional in a competitive, tech-driven market.

Let’s explore five in-demand, future-proof skills that can help you conquer the AI era.

1. Critical thinking and problem solving


A misconception about AI is that it thinks. However, the reality is that AI predicts — synthesizing vast amounts of data to recognize patterns and identify relevant details.

This is where you come in. Your uniquely human ability to think critically, interpret abstract information, and make nuanced decisions is an essential skill AI lacks. From healthcare and education to manufacturing and business, industries rely on human workers to generate cutting-edge ideas, analyze facts, evaluate solutions, and make strategic choices.

Your brain is a muscle

Love video games, puzzles, or riddles? These activities do more than entertain — they bulk up your ability to assess information, weigh options, and find solutions. By making problem-solving fun, you’ll naturally build critical thinking abilities that lend to your personal and professional growth.

Try incorporating these into your routine:
  • Level up your thinking – Engage in video games that require planning, adaptability, and quick decision-making.
  • Play strategically – Challenge yourself with games like Wordle, Sudoku, or chess to enhance logical thinking.
  • Solve for success – Tackle brain teasers, riddles, or escape room challenges to strengthen problem-solving skills.
2. Social and emotional awareness


AI’s ability to echo your tone and adapt on the fly is one reason we tend to humanize this technology. However, AI processes social cues and pleasantries purely through data, lacking the empathy and nonverbal communication skills that help you form genuine relationships.

From leadership and teamwork to conflict resolution and customer relations, nearly every facet of career growth relies on your ability to navigate interpersonal relationships — no matter your role or industry. Making meaningful connections with others is vital to developing and maintaining a reliable, supportive professional network.

Consider how you connect

Emotional and social awareness is more of an art than a science. While some may seem to command these abilities effortlessly, others may need more practice — and there’s zero shame in that!

If you’re looking to enhance your interpersonal aptitude, try these strategies:
  • Observe: Pay attention to physical cues like facial expressions and body language. You can even practice by watching your favorite TV or movie characters!
  • Expand: Reflect on how you communicate. Is your language clear or vague? How do you express your feelings, ideas, and concerns? Additionally, try asking open-ended questions to encourage deeper conversations.
  • Activate: Focus on the speaker by maintaining eye contact when possible and avoiding interruptions. After your interactions, reflect on what you observed. Note anything you’d like to improve and apply those insights next time!
3. Adaptability and self-growth


Keeping your head above water can be daunting amid the AI innovations constantly flooding our feeds. No sooner do we acclimate to one platform or tool than it becomes obsolete, making it challenging to remain current. But while resisting these waves of change may be tempting, fighting the stream won’t stop it. So, why not go with the flow?

Adapting a flexible, growth mindset can help keep you afloat in today’s tech-driven market. As AI disrupts the traditional workplace, demonstrating a dedication to enhancing your digital dexterity will set you apart — equipping you to adapt to future developments.

Invest in flexibility

Upskilling can be anxiety-inducing, sparking fire to imposter syndrome. But you don’t have to be an AI wizard to master new technology!

Instead, focus on refining your mental flexibility by:
  • Adjusting your perspective – View setbacks as learning experiences and approach every challenge with a problem-solving attitude.
  • Staying curious – Follow industry trends, explore emerging technologies, and engage with thought leaders to keep your skills sharp.
  • Stepping outside your comfort zone – Take on new challenges, expand your responsibilities, and embrace growth opportunities.
4. Ingenuity and innovation


As AI-generated content becomes more prevalent, consumers are becoming increasingly adept at recognizing it. Despite AI’s capabilities, research shows that many audiences still prefer authentic, human-created content, valuing its originality, transparency, and emotional depth.

While AI can generate intriguing ideas and creative suggestions, human ingenuity remains unmatched in originality, storytelling, and the ability to inspire emotional resonance. Companies need imaginative innovators who can drive new product ideas, marketing strategies, and business solutions.

Cultivate your creativity

Cultivating creativity will make you a star player on any team. By thinking outside the box, you’ll stay agile and astute — positioning you as an innovative and influential employee who uses their unique perspective to impact progress.

Ingenuity looks different in everyone. However, you can sharpen your one-of-a-kind creative edge by:
  • Challenging the traditional – Engage in brainstorming sessions and welcome diverse perspectives to spark fresh ideas.
  • Experimenting with ideas – Challenge yourself to approach tasks differently, test new strategies, and embrace unconventional solutions.
  • Fueling your fire – Explore hobbies like writing, music, or visual arts to strengthen problem-solving skills.
5. Leadership and teamwork


Although AI has become central to operations across sectors, nothing predicts organizational success like the efficacy of the people in charge.

Now, more than ever, constructive and compassionate leadership is paramount. The ability to guide teams, empower colleagues, and nurture a positive work environment will be key to ongoing professional success.

Learn to lead

The best leaders aren’t born — they’re built through experience and effort.

To hone your voice and harness your power, try:
  • Communicating confidently – Polish your ability to express ideas clearly, navigate conflict, and foster candid discussions.
  • Practicing your skills – Join team projects, take on leadership roles, and practice delegating tasks effectively.
  • Pursuing professional development – Seek out leadership programs, mentorship, and professional development opportunities.
Career-ready and future-forward

As tidal waves of new technology ripple through today’s workforce, remember: don’t panic!

Instead of framing AI as a total technology takeover, consider it a trade-off. With AI as your assistant, you can reserve your battery for the big picture — automating and augmenting rote tasks so you can concentrate on the most rewarding aspects of your career.

Although AI is undoubtedly here to stay, human mastery will always remain in demand. By fine-tuning sought-after soft skills, you position yourself as a future-proof professional and a priceless asset in an ever-changing job market.
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Wednesday

12 New Jobs Artificial Intelegence (AI) Is Creating

27 August 0
Most tech leaders when asked about AI disrupting jobs seem to have a common refrain — while AI will many many jobs redundant, AI will also create new jobs. But they don’t seem to elaborate on what exactly these new jobs will be. But we’ve come up with a list of the new jobs AI will create. This list can help you look into the crystal ball, plan your career and get an insight into what the world could be like in a few years.


New jobs AI is creating

1. Prompt engineer

This is the most obvious new job that AI will create. Thus far, computers could only understand code, and people had to learn how to code – or speak the language of computers — for several years through degrees in Computer Science to be able to work with them. But LLMs have changed all that — as Andrej Karpathy says, the hottest new programming language is English. Prompt engineers can build workflows and prompts just using simple words. And if this sounds simple, it isn’t — creating perfect prompts is more of an art than a science, needing understanding of how LLMs work, and how to elicit the best results out of the them. Prompt engineers are currently being sought after to write prompts for creating images, videos, and even entire workflows. Prompt engineer is the one of the most prominent new jobs that AI is creating.

2. AI Trainer & RLHF Specialist

AI models are not born perfect; they are trained. AI Trainers are the teachers responsible for this education. They are deeply involved in curating datasets, labeling information, and refining the model’s knowledge base. A crucial subset of this field is the Reinforcement Learning from Human Feedback (RLHF) Specialist. These individuals “grade” the AI’s responses, ranking them for helpfulness, accuracy, and safety. This human feedback loop is critical for aligning AI behavior with human values and expectations, essentially teaching the AI to be more useful and less prone to generating harmful or biased content. This job didn’t exist before AI, and could end up being one of the most popular jobs created by AI.

3. AI Implementation Specialist / AI Solutions Architect

Having a powerful AI model is one thing; successfully integrating it into an organization’s complex existing workflows is another challenge entirely. The AI Implementation Specialist is the bridge between cutting-edge AI technology and practical business application. They analyze a company’s needs and design a strategy for deploying AI tools—for instance, integrating a generative AI chatbot into a customer service platform or using a predictive model to optimize a supply chain. They require a deep understanding of both business processes and the technical capabilities of AI systems.

4. AI Model Auditor

Another significant role among the new jobs AI has created is the AI model auditor. These experts review AI models for bias, accuracy, transparency, and compliance. As regulations tighten around AI, this position is becoming indispensable for companies wanting to mitigate risks.

5. Machine Learning Operations (MLOps) Engineer

An AI model isn’t a “set it and forget it” solution. Its performance can degrade over time as new data emerges, a phenomenon known as “model drift.” MLOps Engineers are the guardians of live AI systems. They build and manage the infrastructure that allows for the seamless deployment, monitoring, and continuous updating of machine learning models. They ensure that the AI tools a company relies on remain accurate, efficient, and robust long after their initial launch. The landscape of new jobs AI has created isn’t just about developing models; it’s about the crucial, ongoing work of maintaining them.

6. Synthetic Data Specialist

AI requires massive amounts of data, but privacy concerns and data scarcity present challenges. Enter the synthetic data specialist — a role focused on creating artificial datasets that train AI systems without compromising sensitive information. Companies like Scale AI have become multibillion-dollar businesses based off creating synthetic data for top AO companies like Google and OpenAI. This is one of the new jobs AI has created in response to both technical and regulatory demands.

7. AI Business Integration Consultant

Companies are investing in AI but often struggle with integration. AI business integration consultants help organizations identify opportunities, implement AI strategies, and manage change. This consulting niche is among the most lucrative new jobs AI has created.

8. Digital Twin Engineer

AI-driven simulations, or “digital twins,” are revolutionizing industries from manufacturing to healthcare. Digital twin engineers design these virtual replicas, making this one of the more technical yet highly specialized new jobs AI has created.

9. AI Workflow Designer

Another exciting addition to the roster of new jobs AI has created is the AI workflow designer. These professionals specialize in integrating AI tools into business processes to enhance productivity. For instance, an AI workflow designer might streamline a company’s supply chain by incorporating predictive analytics or automate customer support with intelligent chatbots. This role requires a deep understanding of both AI capabilities and business operations, making it a critical bridge between technology and practical application.

10. AI Factory Operator

The concept of “AI factories”—data centers dedicated to training and running AI models—has introduced new jobs, such as AI factory operators. These professionals manage the infrastructure that powers AI, ensuring systems run efficiently and securely. With companies like NVIDIA and xAI investing heavily in AI infrastructure, roles in AI factory operations are growing in demand, offering opportunities for those with expertise in data center management and AI systems.

11. AI Agent Supervisor

As AI agents—autonomous systems that perform tasks like scheduling or customer support—become more prevalent, AI agent supervisors has become one of the new jobs AI has created. These professionals monitor and fine-tune AI agents to ensure they operate effectively and align with organizational goals. For instance, an AI agent supervisor might oversee a virtual assistant handling customer inquiries, ensuring it delivers accurate responses and escalates complex issues to human staff. This role combines technical expertise with strategic oversight, making it a cornerstone of AI-driven operations.

12. AI Video Maker

AI is now able to generate realistic videos. This has led to a growing demand for talent in making AI films and advertisements. Directors like PJ Ace have created short films for Kalashi that are fully generated with AI, and have amassed millions of views. AI video makers much know the strengths and weaknesses of AI video generating models, be able to write detailed prompts to generate their clips accurately and cheaply, and then must be able to put them together as a coherent video. An AI video maker is one of the newest jobs that AI is creating.

The Broader Impact on the Workforce

The new jobs AI has created reflect a broader trend: AI isn’t just automating tasks; it’s reshaping how organizations function and compete. These roles require a hybrid of skills — technical acumen, creativity, critical thinking, and ethical judgment. They also highlight the importance of lifelong learning as professionals adapt to an AI-driven world.

Preparing for the Future of Work

For individuals and organizations alike, understanding the new jobs AI has created is key to staying relevant. Upskilling in AI-related fields, from machine learning to AI governance, is no longer optional. Educational institutions and training providers are rapidly adapting their curricula to meet this demand, ensuring that the workforce is prepared for the opportunities ahead.

Conclusion

While the narrative around AI and employment often focuses on job losses, the reality is more nuanced. The new jobs AI has created demonstrate how technology continues to drive innovation not only in products and services but in careers themselves. For businesses, staying competitive means recognizing these opportunities and investing in the talent needed to seize them. For professionals, it means staying agile, curious, and ready to embrace the next wave of AI-driven change.

If you’re looking to future-proof your career or business, paying close attention to the new jobs AI has created is a smart place to start.
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Tuesday

6 websites where you can find modern-day AI JOBS in 2025

26 August 0

 

Hey guys this is Aynorm, your Passive Income Coach and today I am really excited to discuss about this topic!

I get a lot of DM queries on My X, Linkedin and Instagram accounts about AI based jobs.

These are the 6 Websites, where you can find AI based Jobs

1. AI-Jobs Net — ai-jobs. net

The website reportedly prioritizes a user-friendly interface with a focus on clear and concise job postings.

This can save you time by allowing you to quickly identify relevant positions.

Search for AI-related job openings across various categories like Machine Learning Engineer, Data Scientist, Computer Vision Specialist, and more. They potentially offer a global reach, allowing you to find opportunities internationally.

2. Cut Short IO — cutshort.io

Cut Short IO (cutshort.io) is an AI-powered recruitment platform designed to streamline the job search process for both tech professionals and companies in India. (for specific country only)

The site leverages AI to analyze your skills and experience, matching you with relevant job openings that fit your career aspirations.

It helps companies find the perfect talent by matching them with pre-qualified candidates based on relevant skills, industry background, and past recruiter interactions.

3. AI Jobs app — aijobs.app

AI Jobs App (aijobs.app) is a leading platform dedicated to connecting talented professionals with exciting opportunities in the ever-evolving field of AI. Here’s a breakdown of what you can expect from this resource:

Explore job listings across various AI subfields, including:
  • Machine Learning
  • Computer Vision
  • Natural Language Processing
  • Robotics
  • Data Science (with an AI focus)
4. Turing -turing.com

Turing highlights their ability to connect companies with remote developers.

If you’re an AI professional interested in remote work, keep an eye out for job postings on their website.

5. Joblist AI — joblist.ai

Joblist AI is a platform designed specifically for AI job seekers.

It leverages the power of artificial intelligence to streamline your search and connect you with exciting opportunities in the AI landscape.
  • Targeted Search: Unlike general job boards, Joblist AI focuses exclusively on AI-related positions. This means you won’t waste time sifting through irrelevant listings.
  • AI-Powered Matching: The platform utilizes AI algorithms to analyze your skills and experience, matching you with jobs that are a perfect fit for your profile.
  • Curated Listings: Joblist AI handpicks high-quality positions from leading companies in the AI sector. This ensures you’re applying to reputable organizations with a strong track record in AI development.
6. Vasitum — vasitum.com

Although it’s an only AI jobs focused site, Vasitum might have listings for positions that require some level of AI expertise. These could include roles like:
  • Data Scientist (with an AI focus)
  • Machine Learning Engineer (supporting recruitment automation systems)
  • Software Engineer (developing features related to AI-powered candidate screening)
Hope you liked this article give your comment below.
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Monday

Cloud Computing Explained in Simple Terms (For Beginners)

25 August 0

 

Understanding Cloud Computing: Benefits, Services, and Security

What Is Cloud Computing?

Cloud computing delivers computing services—like servers, storage, databases, networking, software, and analytics—on demand over the internet. Instead of storing files locally on a hard drive, cloud-based storage allows users to save and access data from remote servers, providing flexibility and accessibility. For both individuals and businesses, cloud computing offers benefits such as cost savings, improved productivity, rapid deployment, enhanced performance, and robust security measures.


Key Takeaways
  • Cloud computing provides on-demand delivery of services like storage, servers, and software over the internet, allowing for remote data saving and access from any internet-connected device.
  • There are three main types of cloud computing services: Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS), each serving different user needs.
  • Cloud solutions can be public, private, or hybrid, offering varying levels of accessibility and control based on user requirements.
  • While cloud computing offers benefits such as cost savings and increased efficiency, it also raises security concerns, requiring robust protection measures like encryption and firewalls.
  • Major service providers like Amazon Web Services and Microsoft Azure facilitate cloud computing, with options ranging from fully public services with flexible pricing to private clouds with in-house data retention.
How Cloud Computing Manages and Stores Data

Cloud computing means data is stored remotely in the cloud or a virtual space. Companies that provide cloud services enable users to keep files and applications on remote servers and access all data via the Internet. An individual's or company's data, work, and applications are available from any device that connects to the Internet.

Cloud computing can be both public and private. Public cloud services are available to anyone for a fee over the Internet, while private cloud services are limited to specific users. These services are a system of networks that supply hosted services. There is also a hybrid option, which combines public and private services.

Exploring Different Types of Cloud Services
  • Email
  • Storage, backup, and data retrieval
  • Creating and testing apps
  • Data Analytics
  • Audio and video streaming
  • Delivering software on demand
Understanding Cloud Computing Platforms: SaaS, IaaS, PaaS

Cloud computing is a system primarily comprised of three services: software-as-a-service (SaaS), infrastructure-as-a-service (IaaS), and platform-as-a-service (PaaS).

  1. Software-as-a-service (SaaS) involves the licensure of a software application to customers. Licenses are typically provided through a pay-as-you-go model or on-demand. This type of system can be found in Microsoft Office 365.
  2. Infrastructure-as-a-service (IaaS) delivers everything from operating systems to servers and storage through IP-based connectivity as part of an on-demand service. Clients do not need to purchase software or servers and instead procure these resources in an outsourced, on-demand service. Popular examples of the IaaS system include IBM Cloud and Microsoft Azure.
  3. Platform-as-a-service (PaaS) is considered the most complex of the three layers of cloud-based computing. PaaS shares some similarities with SaaS, but instead of delivering software online, it is a platform for creating software delivered via the Internet. This model includes platforms like Salesforce.com and Heroku.

Weighing the Pros and Cons of Cloud Computing

Thanks to cloud computing, users can check their email on any computer and store files using services such as Dropbox and Google Drive.

Cloud computing lets users back up their music, files, and photos. Companies were once required to purchase, construct, and maintain costly information management technology and infrastructure. Companies can swap costly server centers and IT departments for fast Internet connections, where employees interact with the cloud online to complete their tasks.

The cloud structure saves storage space on desktops or laptops. It also lets users upgrade software via the web rather than through more traditional, tangible methods involving discs or flash drives. However, security is a concern, especially for medical records and financial information.

While regulations force cloud computing services to shore up their security and compliance measures, it remains an ongoing issue. Encryption is commonly used to protect vital information. Cloud servers can be affected by natural disasters, bugs, and power outages. As with any technology, with many individuals accessing and manipulating information through a single portal, mistakes can transfer across an entire system.

Leading Cloud Service Providers: AWS, Azure, and Alibaba Cloud
  • Google Cloud
  • Amazon Web Services (AWS)
  • Microsoft Azure
  • IBM Cloud
  • Alibaba Cloud
  • Dell Cloud
  • Oracle Cloud
Amazon Web Services is 100% public and includes a pay-as-you-go, outsourced model.
Once on the platform users can sign up for apps and additional services. Microsoft Azure allows clients to keep some data at their sites. Meanwhile, Alibaba Cloud is a subsidiary of the Alibaba Group.

What Is an Example of Cloud Computing?

Businesses and individuals use cloud applications like streaming platforms, where media files are stored remotely, and data storage services like Google Drive, Dropbox, OneDrive, or Box.

Is Cloud Computing Safe?

Cloud security refers to efforts to protect digital assets and data stored on cloud-based services. Measures to protect this data include two-factor authorization (2FA), the use of VPNs, security tokens, data encryption, and firewall services, among others.

What Is Cloud Hacking?

Cloud hacking is when a cyber attack targets cloud-based service platforms, such as computing services, storage services, or hosted applications.

The Bottom Line

People and businesses use cloud-based storage instead of local hard drives. Cloud computing is comprised of three services: (SaaS), (IaaS), and (PaaS). Providers allow users to store email, backups, data, audio, and video.


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