Accumulating data from many sources over time allows for its submission to a computer for analysis. When we talk about "interactive processing," what exactly do we mean?

When building a new computer system, a programmer wants to incorporate some computational innovations used elsewhere. What steps should the developer take to predict the impact that this incorporation could have? A) observe the trends, ask questions, formulate a plan B) collect data, formulate a plan, test a hypothesis C) collect data, develop a model, analyze trends D) formulate a hypothesis, collect data, test the hypothesis

A data model stores concepts as computers do.

Explain why it is true that in "interactive" computing, there is no waiting time between entering data and seeing the results.

What types of mental pictures come to mind when you think of email? Where does an email really go after it's been sent? Put together a rundown of everything you can think of that you know right now. I was wondering if someone could explain the thinking behind these variations. Which of your models best exemplifies the range of complexity you've encountered?

It is possible for a computer system to generate and process information in a variety of distinct ways because to its adaptable nature. I was wondering whether it would be feasible to construct two of these.

Based on our research, Flynn's taxonomy may benefit from an extra categorization level. What distinguishes modern computers from their predecessors and gives them a commercial advantage?

When you say there has been a paradigm shift in the way people and computers interact, could you please elaborate?