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IDSC 3001 - WEEK 12 - EMERGING TECHNOLOGIES QUESTIONS & ANSWERS ALREDY GRADED A+

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IDSC 3001 - EMERGING TECHNOLOGIES

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IDSC 3001 - EMERGING TECHNOLOGIES

IoT (internet of things) - The multiple networks of devices or tech platforms ("things") that communicate with each other via wireless protocols and without direct human interaction (ex: smart home devices like programmable thermostats) neural networks - AI algorithms that recognize underlying r...

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Uploaded on August 25, 2024
Number of pages 8
Written in 2024/2025
Type Exam (elaborations)
Contains Questions & answers

idsc 3001 week 12 emerging technologies

Institution IDSC 3001 - EMERGING TECHNOLOGIES
Course IDSC 3001 - EMERGING TECHNOLOGIES

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IDSC 3001 - WEEK 12 - EMERGING
TECHNOLOGIES
IoT (internet of things) - The multiple networks of devices or tech platforms ("things") that
communicate with each other via wireless protocols and without direct human interaction (ex: smart
home devices like programmable thermostats)

neural networks - AI algorithms that recognize underlying relationships in a set of data through a
process that mimics the way the human brain operations (biological neural networks)

disruptive technologies - Technologies that create market shocks and catalyze growth (aka
disruptive innovation)

-

2 characteristics that make them threatening

why disruptive technologies are threatening - (1) they come to market with a set of performance
attributes that existing customers don't value

(2) over time the performance attributes improve to the point where they invade established markets

artificial intelligence (AI) - Computer software that can mimic or improve upon functions that
would otherwise require human intelligence

-

General

Narrow

-

3 qualities

3 qualities of AI - intentionality

, intelligence

adaptability

intentionality - quality of AI

-

Systems are programmed to make decisions from historical or real-time data or both

intelligence - quality of AI

-

Often incorporate machine learning, deep learning, and data analytics that enable intelligent decision
making (not human intelligence!)

adaptability - quality of AI

-

Systems learn from real-time data and can refine their decision making capabilities to improve an
outcome

machine learning - subset of AI

-

Software that contains the ability to learn or improve through experience without being explicitly
programmed

Algorithms that find patterns in data

-

Supervised

Unsupervised

supervised machine learning - type of machine learning

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Exam (elaborations) ·

Exam (elaborations)

IDSC 3001 - WEEK 12 - EMERGING TECHNOLOGIES QUESTIONS & ANSWERS ALREDY GRADED A+

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