IBM Sponsor Spotlight: Driving Innovation with Augmented Intelligence

IBM Sponsor Spotlight: Driving Innovation with Augmented Intelligence

Assessment

Interactive Video

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

University

Hard

Created by

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The video features a discussion on AI and automation, focusing on a collaborative solution by IBM, Acubot, and HSBC. The speakers introduce themselves and explain their roles in developing a data-driven investment strategy. They highlight the importance of responsible AI, human involvement, and overcoming skepticism in AI adoption. The session concludes with advice for automation leaders.

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Who is Parul Mishra?

Head of Quantitative Investment Solutions at HSBC

Chief Operating Officer of Acubot

Vice President of Product Management at IBM

CEO of IBM

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main focus of the collaboration between IBM, Acubot, and HSBC?

Enhancing AI and automation in investment strategies

Developing new hardware technologies

Creating a new social media platform

Building a new financial institution

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was a key factor in the development of the investment solution discussed?

The decline of global markets

The decrease in AI technology

The exponential growth of data

The rise of cryptocurrency

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is Apex?

A portfolio strategy using AI and automation

A new type of cryptocurrency

A new AI software for healthcare

A social media platform

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a significant benefit of AI in investment strategies as mentioned in the discussion?

Increased manual labor

Higher data storage costs

More informed investment decisions

Decreased market competition

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a crucial aspect of AI implementation according to the discussion?

Ensuring AI is responsible and unbiased

Eliminating human oversight

Ignoring data bias

Focusing solely on automation

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is human involvement still necessary in AI processes?

To reduce AI costs

To replace AI systems

To supervise and train AI systems

To eliminate AI errors

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