Inside the world of IT

 This week’s reading on Chapter 2 focused on cabling and network topology, and it helped me understand how networks are physically and logically put together. Before this, I didn’t really think much about what actually connects devices behind the scenes, but now I see how important those choices are. I was able to get a better insight on the different types of network topologies, like star, bus, and mesh. Each one has its own advantages and disadvantages depending on things like cost, performance, and reliability. For example, the star topology seems really common today because it’s easier to manage, but it also depends heavily on a central device, so if that fails, everything goes down. Fiber optic cables stood out to me the most because of their speed and the way they use light to transmit data instead of electrical signals. They can also transmit data over longer distances without interference, which makes them really useful for large networks. Coaxial cables were interesting to...

After reading chapter 2 of our textbook, I was able to get a better understanding of the computing process and a bit more understanding of the user interface. One of the biggest things I took was on input, processing, and output of the computing process. It sounds simple at first, but having it broken down like that made it easier to understand how most tasks on a computer actually happen. For instance, when you use your mouse to click on something, which would be the input, the computer then processes it and then shows it on the screen, which would be the output. It really helped me see the basic cycle that a computer follows. Another thing was on the topic of user interface and how they make computers easier to use. It was also interesting to see how the GUI would have a different look and layout depending on the system wither it was windows or, macOS, Linux, and even mobile, but they all have the same goal to help users interact without needing complex commands.

 It's crazy seeing the rise in AI powered systems as weeks go by. We are all starting notice a lot of companies that are using AI more and starting to intergrade it in their systems even in things we wouldn't think could include AI. I've noticed more in my job as insurance agent my job has started using AI a bit more to help us smooth things over with the basics of seeing what type of insurance this person needs however when it gets a bit more technical it's still up to us to find the solution for it. It does get you wondering though with it constantly improving and everything how long before it can start doing everything we do but quicker making most of our positions less important.

 Through my findings of IT, I came into an article about how Ai can potentially predict which heart failure patients will worsen throughout the year. I found this very interesting because it really highlights how technology is being used in more ways than just what we have our understanding of with computers and networking. One thing that stood out to me is how the system can take something as simple as an ECG and then use it to predict future problems with the heart. Which to me sounds crazy cause normally I feel like you would expect doctors to make you take a lot of complicated tests to figure that stuff out. This could lead to less time wasted and a quicker response in the process. However, it is worth mentioning even though this technology sounds amazing it still has it challenges like dealing with messy or incomplete data. So, if the data isn't clean the predictions might not be so reliable. Which in this instance can be more detrimental since it deals more with real patients...