We are increasingly depending on computers. They are used in business, hospitals, crime detection and even to fly planes. What things will they be used in future? Is the dependence on computers is a good thing or should we be more suspicious of their benefits?

Technology has invaded the world, with the invention of a computer, and with its plethora of applications, man has tended to rely on it for daily activities from schools to large scale commercial, medical use, and many more. In my view it has a remarkable ability to outperform in impending years and its consequences are rather debatable. Computers are man-made device, intended to perform a tedious task with an ease. With the help of internet technology it has changed the functionality of the world. Data management of any organization ranging from micro businesses to mega factories has been lucrative as it can shrink the workforce required to manage it before. With its copious merits dependency of humans with technology elevated with time. To illustrate
this
, nowadays high risk areas like chemical manufacturing factories can be easily managed by SCADA a computer based program, the whole unit is handled in a single workstation. Extension to it, with its tremendous functionality and increasing human contingency,
also
have certain loopholes, like dearth in the workforce, a requirement of a qualified personnel to operate the system.
Moreover complex
Accept comma addition
Moreover, complex
assignments entail a high end processing unit causing to sore operational expenditure.
For instance
SCADA technology, which we have discussed needs a skilled engineer to operate and maintain its functioning. To sum up, in contenting the thesis, we have seen computers has manifold advantages and has the potential to give the world a new face, perhaps with the artificial intelligence having better prospects. Despite having a shrinking impact on the workforce and enhancing efficiency, a major threat to loss of jobs, these machines are on apotheosis making human slave forever.
Submitted by sdelectricalcontractor on

Unauthorized use and/or duplication of this material without express and written permission from this site’s author and/or owner is strictly prohibited. Excerpts and links may be used, provided that full and clear credit is given to Writing9 with appropriate and specific direction to the original content.

Fully explain your ideas

To get an excellent score in the IELTS Task 2 writing section, one of the easiest and most effective tips is structuring your writing in the most solid format. A great argument essay structure may be divided to four paragraphs, in which comprises of four sentences (excluding the conclusion paragraph, which comprises of three sentences).

For we to consider an essay structure a great one, it should be looking like this:

  • Paragraph 1 - Introduction
    • Sentence 1 - Background statement
    • Sentence 2 - Detailed background statement
    • Sentence 3 - Thesis
    • Sentence 4 - Outline sentence
  • Paragraph 2 - First supporting paragraph
    • Sentence 1 - Topic sentence
    • Sentence 2 - Example
    • Sentence 3 - Discussion
    • Sentence 4 - Conclusion
  • Paragraph 3 - Second supporting paragraph
    • Sentence 1 - Topic sentence
    • Sentence 2 - Example
    • Sentence 3 - Discussion
    • Sentence 4 - Conclusion
  • Paragraph 4 - Conclusion
    • Sentence 1 - Summary
    • Sentence 2 - Restatement of thesis
    • Sentence 3 - Prediction or recommendation

Our recommended essay structure above comprises of fifteen (15) sentences, which will make your essay approximately 250 to 275 words.

Discover more tips in The Ultimate Guide to Get a Target Band Score of 7+ »— a book that's free for 🚀 Premium users.

Essentional vocabulary list for IELTS Writing 7+

Learn how to write high-scoring essays with powerful words.
Download Free PDF and start improving you writing skills today!
Topic Vocabulary:
  • Autonomous vehicles
  • Smart traffic management
  • AI (Artificial Intelligence)
  • Machine learning
  • Personalized treatment
  • Virtual classrooms
  • AI tutors
  • Smart homes
  • Energy consumption
  • Grocery shopping automation
  • Data analysis
  • Decision-making assistance
  • Efficiency
  • Mainstream adoption
  • Predictive algorithms
  • Personalization
What to do next:
Look at other essays: