Question 2How does Generative AI contribute to addressing the challenges faced by data scientists, researchers, and analysts when exploring significant data patterns and insights?1 pointBy enabling the derivation and evaluation of hypotheses from diverse data sourcesBy replacing the role of data scientists in analyzing data patternsBy speeding up the traditional manual analysis processBy automating the process of collecting and preprocessing data

Question 1What is Generative AI?:1 pointGenerative AI is a type of artificial intelligence (AI) that can only create new content, such as text, images, audio, and video by learning from new data and then using that knowledge to predict a classification output.Generative AI is a type of artificial intelligence (AI) that can create new content, such as text, images, audio, and video. It does this by learning from existing data and then using that knowledge to generate new and unique outputs. Generative AI is a type of artificial intelligence (AI) that can create new content, such as discrete numbers, classes, and probabilities. It does this by learning from existing data and then using that knowledge to generate new and unique outputs.Generative AI is a type of artificial intelligence (AI) that can only create new content, such as text, images, audio, and video by learning from new data and then using that knowledge to predict a discrete, supervised learning output.

Generative AI is a type of artificial intelligence that can ____.Generate text, images, or other data using generative models.Make predictions about future events.Generate responses on real-time data.Perform complex calculations and mathematical operations.

1.Question 1Fill in the blank: A _____ is a collection of data used to teach AI.1 pointhallucinationcomputer outputbrainstorming assistanttraining set2.Question 2Which of the following tasks can a manufacturer accomplish using generative AI? Select three answers.1 pointReceive incoming shipments of new inventory.Draft new production guidelinesBrainstorm ways to optimize resource allocationCreate preview images of new products3.Question 3A workforce management company is considering the potential challenges of using AI to provide human resources services to its employees. Which of the following issues should they be aware of? Select two answers.1 pointThe inability of AI to handle data-related tasksThe need to continuously train AI on new employee proceduresThe difficulty AI has with quickly analyzing dataThe possibility of AI perpetuating existing biases in its training data4.Question 4A recruiting agency uses an AI tool to analyze resumes and recommend candidates based on their competencies that match the job description. A staff recruiter then reviews the AI-generated shortlist and contacts these candidates to arrange interviews. What does this scenario describe?1 pointCommissioningAI automationAI augmentationFiltering5.Question 5What is one reason human oversight is important when using AI in decision-making processes?1 pointIt ensures that decisions are made with ethical considerations and accountability.It reduces operational costs by automating the decision-making process.It focuses on the technical aspects of AI without considering broader goals.It increases the speed with which AI decisions are made.

Data analytics plays a pivotal role in various AI applications, enabling intelligent decision-making and problem-solving. Discuss three specific examples of how data analytics is utilized in AI applications, such as machine learning, natural language processing, and computer vision.

This is an overview on how data professionals can use AI tools• We’ll introduce the AI landscape and tools like ChatGPT, and review practical use cases for data analysts,but will not dive deeply into how these models work or give an exhaustive list of everything they can doSETTING EXPECTATIONS