Experience Exploring the Internet of things(IOT)

  "Artificial Intelligence on Job Markets" Artificial intelligence is transforming industries. What does this mean for job markets? There's a need to establish the level of balance between automation and job creation. Job Displacement AI introduction could automate routine work, therefore changing the nature of the work done in manufacture and customer services. However, it gives man a new supply of jobs required to maintain the developments and oversight control of AI. Job Creation With AI, businesses will require skilled workers to deal and analyze the AI system.  Conclusion This presence of AI symbolizes challenges but also gives an opportunity toward innovation and workforce change. And embracing the change lets workers become suitable for the future job market. References Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W.W. Norton & Company.

"Edge Computing vs. Cloud Computing"     Edge computing and cloud computing are crucial today, but for different things. Cloud Computing It means of processing and storing data which leaves room for scalability and flexibility. Such a service is useful when several applications like big data analytics or web-hosting come into the picture. Edge Computing However, edge computing operates close to the origin of the data, reducing latency and increasing more real-time responses in it. At such a moment, this happens to be quite an essential requirement for IoT devices and applications that possibly require instant data analysis. Key Differences Latency: The Edge minimizes delay; the cloud might introduce latency. Scalability : The cloud will easily scale its resources; edge focuses on processing at a local level. Conclusion  thereby making it possible to reach optimum efficiency through fast data processing along with scalable solutions. References Zhang, Y., & Zheng, Z. ...

              " IT plays a massive role in propelling sustainability in                                           every sector of the world." Resource Optimisation Solutions IT-based enable organisations to track and optimize usage of resources without waste or dissipation. IoT sensors can trace real-time usage of energy and reduce energy consumption in the process. Data-Driven Decision Making Big data analytics enables them to make more informed decisions and source inefficiencies that exist by following unsustainable practices, respectively. Work from Remote Solution End Cloud computing and collaboration tools encourage flexible working from any location whose carbon footprint reduces commuting. Renewable Energy IT systems make it possible for renewable energy systems to be integrated into existing grids and for efficiency and reliability to ...

 Blockchain Technology: The Future of Secure Transactions What Is Blockchain Technology? Blockchain is a form of an electronic, distributed ledger that puts the records of transactions across various computers. That way, it doesn't rely on a central authority and therefore can't be modified once recorded, thereby making it tamper-resistant and transparent. How It Works The blockchain contains each block which has a record of the transactions. Every added block into a chain cannot be changed. This means the data kept in the chain is secure and intact. Applications of Blockchain Originally designed to be used by cryptocurrencies like Bitcoin, blockchain today penetrates the following sectors and many others: Finance: Speedy and secure transactions Healthcare: Safeguarded patient information Supply Chain: Transparent tracking Why Blockchain Matters? Blockchain removes the intercessors, reduces fraud, and builds trust in digital exchanges. This technology allows for smart contra...

  "A Beginner's Guide to Agile Development Methodologies" What is Agile?:   From my research, I was able to discover that Agile is an extremely malleable approach of software development with teamwork and acceptance of change during the development process. Working in steps :   I learned that into smaller time frames, the projects are divided: iterations or sprints. That way, the teams are always ready to release working software in good time. Main Ideas: Customer Collaboration:   Importance of teaming with the customer so as to know what they want and help create a product that pleases them. Standards Common framework:   Scrum:    this is project methodology that breaks the project into smaller sprints(2-4 weeks normally) in which teams burn lots of hours to plan and build the work and review it too as well. References:   https://agilemanifesto.org/.Schwaber ,   https://scrumguides.org/ .

  " During My Learning Journey, I found that there are innumerable statistical techniques applied in the technical world. Here, I present before you some of the methods which I learned and explored "  Regression Analysis This will give us an idea of how the variables are interrelated. For example, using previous data, it will project what happens in the future and in this way will be of very great help in making a decision Hypothesis Testing This way, we ensure whether all our assumptions about the data are right or wrong. It was handy when we were in the development cycle of software and should have checked whether those new features actually improve performance or not.   Descriptive Statistics   Here, there were some basic measures like mean, median, and mode included in it. They let us summarize big data-sets so that people can be able to see the kind of patterns existing over there. Time series Analysis This technique is used for time series data. It helps in the...