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Introduction to AI for business users Microsoft Quiz Answers

Get Introduction to AI for business users Microsoft Quiz Answers

To truly empower an organization with AI, business leaders need to put AI in the hands of everyone, not just developers and data scientists.

Prerequisites:

None

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Module 4: Define an AI strategy to create business value

AI has the capacity to empower the whole world to achieve more. From empowering technical development teams to mobilizing an entire organization to unlock the true potential of AI, enterprises need to think strategically about AI – and they need to start today.

Learning objectives:

In this module, you will:

  • Consider various approaches to AI implementation.
  • Describe the outcomes organizations have achieved through the adoption of AI.
  • Articulate the components of an AI strategy.

Prerequisites:

None

This module is part of these learning paths:

Quiz 1: Knowledge Check

Q1. One way in which companies are integrating AI is the implementation of platforms that customers can interact with. Which type of intelligence are these platforms based on?

  • Cognitive Intelligence
  • Naturalistic Intelligence
  • Intra-personal Intelligence
  • Spatial Intelligence

Q2. From an employee perspective, what is one of the primary goals of digitizing your organization?

  • Create a technical aptitude baseline for all team members.
  • Extend the life cycles of legacy equipment and infrastructure.
  • Break down silos that hamper communication and collaboration.
  • Transfer all decision-making processes over to AI to eliminate human variability.

Q3. What is a crucial step that companies must accomplish in order to realize the full potential of AI?

  • Eliminate unstructured data in order to streamline the data retrieval process.
  • Enable every employee to become a citizen data scientist.
  • Rearchitect their enterprise datacenters to become cloud-first organizations.
  • Provide multiple channels for technical and non-technical users alike.

Q4. Which is an example of a fundamental technology benefiting from the advances and investment in machine learning-based AI?

  • Natural Language Processing
  • Software defined storage
  • Hyperconverged Infrastructure
  • DNA storage

Module 5: Understand the importance of building an AI-ready culture

A successful AI strategy must consider cultural issues as well as business issues. Becoming an AI-ready organization requires a fundamental transformation in how you do things, how employees relate to each other, what skills they have, and what processes and principles guide your behaviors. This unit is designed to help you understand which are the key elements that make a culture AI-ready and proposes a framework to drive that change in your organization.

Learning objectives:

In this module, you will:

  • Describe the key elements of an AI-ready organizational culture.
  • Identify opportunities for change to achieve an AI-ready culture.
  • Apply the AI Maturity Model Assessment to your business.

Prerequisites:

None

This module is part of these learning paths:

Quiz 1: Knowledge Check

Q1. Which key factor in the AI-ready culture of an organization helps with the successful implementation of AI?

  • Delegates AI responsibility.
  • Utilizes pre-trained cognitive services.
  • Utilizes Conversational AI.
  • Provides access to data.

Q2. The leaders of a national corporation saw how another business created an AI-ready culture within their organization and readily implemented Microsoft AI solutions. To encourage an AI-ready culture in their own corporation, the leaders published a recording of a speech on the benefits of AI and how it would require a change to the culture of the organization. Then, they sent out memos with instructions to all of the company’s vice presidents. One year later, only the finance division had implemented any AI technology in their operations. There was no visible change in company culture toward adopting AI. What critical factor in an AI-ready culture did leadership lack in their attempt to foster an AI-ready culture in their company?

  • Communication
  • Delegation
  • Empowerment
  • Innovation

Q3. What is one of the seven key change concepts of Prosci’s model for change management?

  • Individual Responsibility
  • Individual Empowerment
  • Fitness for Purpose
  • Value Systems

Q4. The leaders of a regional law firm have been studying AI. The CEO is impressed that many companies have integrated it into their products, customer service, and their day-to-day work activities. One month ago, the CEO actually presented the basic concepts to top-level management. Since then, the CEO has received some good feedback from several vice presidents on its potential benefits. Using Microsoft’s AI Maturity Model Assessment, which describes the level of AI maturity that this company has reached, and what will they move onto next?

  • First level, next employees will begin experimenting with pre-trained models.
  • Second level, employees will next start using AI for innovation and transformation.
  • Third level, next the company will create a strategy for using AI in their business.
  • Second level, next developers will start building AI into company software.

Module 6: Identify guiding principles for responsible AI

At Microsoft, we’ve recognized six principles that we believe should guide AI development and use — fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability. For us, these principles are the cornerstone of a responsible and trustworthy approach to AI, especially as intelligent technology becomes more prevalent in the products and services we use every day. We recognize that every individual, company, and region will have their own beliefs and standards that should be reflected in their AI journey. We want to share our perspective as you consider developing your own guiding principles.

Learning objectives:

In this module, you will:

  • Describe the importance of engaging with AI in a responsible manner.
  • Identify six guiding principles to develop and use AI responsibly.
  • Describe different approaches to responsible AI governance from experienced executives.

Prerequisites:

None

This module is part of these learning paths:

Quiz 1: Knowledge check

Q1. An expert suggests using a pool of training data that has been gathered from observations of human workers performing tasks and making decisions. What is an unintended consequence that must be anticipated?

  • AI will replicate human biases and prejudices that result in the unfair treatment of people of a particular race or gender.
  • AI cannot learn the subtleties of human opinion; therefore, AI will make decisions purely based on data criteria.
  • The transparent nature of AI will result in decreased intelligibility concerning performance-based decision making.
  • AI has no level of accountability; thus, poor qualitative decisions can occur without any sense of recourse.

Q2. Why is explainability such an important aspect of responsible AI in the financial services industry?

  • Many customers are curious about the ways in which AI can enrich their lives.
  • Many customers are concerned with the risks of AI or feel that it’s advancing too quickly, and they don’t understand the potential risks.
  • Customers will engage with AI-based services more regularly if they understand how those services operate.
  • Financial service institutions are more likely to identify mistakes made by AI if they can articulate how it is operating.

Q3. Which two Microsoft guiding principles underpin the other four?

  • Privacy and security.
  • Reliability and safety
  • Fairness and inclusivity.
  • Transparency and accountability.

Q4. An engineering team wants to develop a new tool that lets users convert their facial expressions into an animated creature. Before launching their tool, they plan on testing it extensively with users from around the world. Which guiding principle(s) is/are most relevant?

  • Fairness and inclusivity.
  • Reliability and safety.
  • Transparency.
  • Privacy and security.

Q5. Which answer best describes why State Farm believes successful AI requires interdisciplinary collaboration?

  • State Farm found that AI initiatives are more likely to be successful and achieve organizational objectives when business decision-makers work alongside developers and technical experts.
  • State Farm found that interdisciplinary collaboration reduces costs.
  • State Farm does not believe that successful AI requires interdisciplinary collaboration.
  • State Farm believes that interdisciplinary collaboration will accelerate the speed at which AI solutions are developed.
Conclusion:

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This Problem is intended for audiences of all experiences who are interested in learning about Data Science in a business context; there are no prerequisites.

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