Where is AI headed?

Where is AI headed?

Assessment

Interactive Video

Business, Information Technology (IT), Architecture, Social Studies

University

Hard

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The transcript discusses HPE's Green Lake platform, focusing on AI services and their impact on revenue growth. It highlights AI's role in various sectors, the importance of trust and transparency, and ethical considerations in data usage. The conversation also covers strategies for scaling AI in business and the potential risks associated with AI technologies.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary focus of HPE's Green Lake platform?

Offering AI services exclusively

Developing consumer electronics

Focusing on data storage solutions

Providing edge, hybrid cloud, and AI services

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How much revenue did HPE book from AI workloads in Q2?

$500 million

$800 million

$1 billion

$3 billion

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key factor in building trust in AI according to the transcript?

Model completion

User-friendly interfaces

Low-cost services

High-speed internet

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the nature of the compute segment as described in the transcript?

Rapidly expanding

Declining

Stable and predictable

Cyclical

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does Jana Eggers suggest about the current state of AI?

AI is already like humans

AI can augment human capabilities

AI is not useful yet

AI is only for large corporations

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a major concern about AI mentioned in the transcript?

AI's high cost

AI's limited applications

AI's potential to replace all jobs

AI's existential threat

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the transcript suggest about data usage in AI?

Only public data should be used

Using the entire internet is necessary

Corporate data is often sufficient

Data is not important for AI