Answer:
AI, Interests, and marketing
Explanation:
Processing privacy policies is not a real function of a large data set.
d. Refers to the depth and breadth of details contained in a piece of textual, graphic, audio, or video information.
<h3>Information richness</h3>
Information richness refers to the amount of sensory input available during communication. For example, <u>talking to co-workers in a monotone voice without varying pace or gestures is not a very enriching experience</u>. On the other hand, using gestures, tone of voice, and pace of speech to convey meaning beyond the words themselves promotes richer communication. Different channels have different information wealth.
Information-rich channels convey more non-verbal information. For example, a face-to-face conversation is richer than a phone call, but a phone call is richer than an email. Research shows that effective managers are more likely to use informative channels of communication than ineffective managers.
Learn more about Note-making Information: brainly.com/question/1299137
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Answer:
Consistency
Explanation:
Bi integrating marketing communications, we can infer that the different brands working under Excel Enterprises have the same basic design, so the marketing department can sell their features easily, without having to create different campaigns or protocols for each individual product.
This homogeneous design then turns intuitive for the user, a textbook definition of consistent design, and the tone is maintained through the different brands.
Just like when you move from Microsoft's Excel to Microsoft's Word, you know the usage of each program is different, but the layout is the same, allowing you to understand the basics of the UX (user interface) of one, by understanding the other.
Answer:
This is personally based on my opinion.
My top 10 favorites
Toradora
Darling in the franxx
Lucky Star
My Melody
Death note
Attack on titans
One piece
The Promise neverland
Kaguya-sama: love is war
Black cover
Answer:
import random
def simulate_observations():
#this generates an array of 7 numbers
#between 0 and 99 and returns the array
observations = random.sample(range(0, 100), 7)
return observations
#here,we call the function created above and print it
test_array = simulate_observations()
print(str(test_array))