Page 166 - Robotics and AI class 10
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The Problem Statement
After filling the 4Ws problem canvas, you now need to summarise all the canvas into one template. The problem
statement template helps us to put together all the key points into a single template for future reference. Problem
statement template with space to fill details according to your goals:
Our [stakeholder(s)] Who
has / have a problem that [issue, problem, need] What
when / while [context, situation] Where
An ideal solution would [benefit of solution for them] Why
Data Acquisition
This is the second stage of the AI project cycle. It is the process of collecting data required for training the AI
project. Data is raw information that is used to generate meaningful outcomes.
If we have to make an artificial intelligence system to predict the traffic flow for a particular geographical location
based on the previous traffic data. The data needs to be fed for the previous year into the system and the machine
can be trained to use it to predict the traffic flow effectively. The previous year traffic flow data is known as the
Training Data and the prediction it makes is using the Testing Data.
The efficiency of the AI system is dependent on the authenticity and relevance of the training data. Like the
previous topic discussed, if the traffic data is not for the same geo location or not for the same period last year, the
predictability of the machine would not be accurate.
Hence, for the AI system to be able to work efficiently, the authenticity and relevance of the training data to the
scope of the problem statement is a must.
Types of Data
There are two types of data:
• Training Data: It is data on which we train our AI project model. It is basically to fit the parameters of the project
for the model. In training data, the output is available to the model.
164 Touchpad Robotics & Artificial Intelligence-X

