Week 10 Part A: Digital Transformation and Artificial Intelligence Overview

0.0(0)
studied byStudied by 9 people
0.0(0)
full-widthCall Kai
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
GameKnowt Play
Card Sorting

1/16

flashcard set

Earn XP

Description and Tags

This set of flashcards covers key concepts related to digital transformation, business processes, and artificial intelligence, as discussed in the lecture.

Study Analytics
Name
Mastery
Learn
Test
Matching
Spaced

No study sessions yet.

17 Terms

1
New cards

Decision Support Systems

Systems that help in making organizational business decisions.

2
New cards

Digital Transformation

The process of using digital technologies to fundamentally change business processes and operations.

3
New cards

Artificial Intelligence (AI)

Simulation of human intelligence by machines, focusing on learning, reasoning, and self-correction.

4
New cards

Business Process Reengineering (BPR)

Analysis and redesign of workflows within and between enterprises to improve efficiency.

5
New cards

Operational Business Processes

Routine daily tasks such as inventory management and customer transactions.

6
New cards

Robotic Process Automation

Use of software with AI and machine learning to perform repeatable tasks.

7
New cards

Streamlining

Improving efficiencies by simplifying or removing unnecessary steps in a process.

8
New cards

Bottleneck

A situation where a resource reaches full capacity and cannot meet additional demands.

9
New cards

Redundancy

A task or activity that is unnecessarily repeated within a process.

10
New cards

Machine Learning

A subset of AI that enables computers to learn from data and improve from experience.

11
New cards

Neural Networks

A type of AI that emulates the human brain's decision-making process.

12
New cards

Natural Language Processing (NLP)

The branch of AI that focuses on the interaction between computers and humans through natural language.

13
New cards

Expert Systems

Computer programs designed to advise and mimic the decision-making ability of human experts.

14
New cards

Biased Training Data

Data that has a disproportionate weight in favor of or against an idea, resulting in unfair intelligence outcomes.

15
New cards

Overfitting

When a machine learning model is too complex and fits the training data too closely.

16
New cards

Underfitting

When a machine learning model is too simple to capture the underlying trends of the data.

17
New cards

Algorithm

A step-by-step procedure for calculations, data processing, and automated reasoning tasks.