Answer:
Thomas Savery and Edward Somerset.
Explanation:
Answer:
1. Data Cleaning
2. Data Integration
3. Data Selection
4. Data transformation
5. Data Mining
6. Pattern Evaluation
7. Knowledge presentation
Explanation:
The steps involved in data mining or data analytics when viewed as a process of knowledge discovery includes the following:
Step 1. Data cleaning: this involves the elimination of inconsistent data.
Step 2. Data integration: this involves the combination of data from multiple sources.
Step 3. Data selection: this is the step where significant data for task examination are gathered from the database.
Step 4. Data transformation: this the step in which the data are modified for mining by conducting the aggregate operation.
Step 5. Data mining: this step involves the extraction of data patterns through specific techniques.
Step 6. Pattern evaluation: this step involves the identification of patterns that depict knowledge based on measures.
Step 7. Knowledge presentation: this is the step in which visualization and knowledge representation methods are utilized to illustrate mined knowledge to users.
Answer:
Intelligent Automation (IA) is a combination of Robotic Process Automation (RPA) and Artificial Intelligence (AI) technologies which together empower rapid end-to-end business process automation and accelerate digital transformation..
Explanation:
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The answer is : to more easily access and save information and to reduce waste. It is more convenient to receive and store our information in a digital format. when we reduce paper waste by using technology more.
All of above. It is important to see which job would be a good fit and to find out if you have the necessary skills.
