A sales manager wants to improve their processes using AI in Salesforce. Which application of AI would be most beneficial? Inventory management Automated email marketing Chatbots for customer service Lead scoring and opportunity forecasting

Lead scoring and opportunity forecasting

What is the most likely impact that high-quality data will have on customer relationships? Higher data storage expenses Increased marketing costs Improved customer trust and satisfaction Reduced customer engagement

Improved customer trust and satisfaction

What are the key components of the data quality standard? Accuracy, Completeness, Consistency Speed, Efficiency, Cost Innovation, Creativity, Flexibility Security, Privacy, Compliance

Accuracy, Completeness, Consistency

What is the role of Salesforce's Trusted AI Principles in the context of CRM systems? Reducing operational costs Enhancing user interface design Increasing sales through automation Guiding ethical and responsible use of AI

Guiding ethical and responsible use of AI

A business analyst wants to improve business by enhancing their sales processes and customer support. Which AI applications should they use to meet their needs? Automated billing, inventory tracking, and payroll management Data encryption, firewall protection, and network monitoring Social media monitoring, email marketing, and SEO optimization Lead scoring, opportunity forecasting, and case classification

Lead scoring, opportunity forecasting, and case classification

Why is it critical to consider privacy concerns when dealing with AI and CRM data? Reduces system efficiency Ensures compliance with laws and regulations Enhances user interface design Increases data storage costs

Ensures compliance with laws and regulations

Understanding AI Applications, Data Quality, and Ethical Practices in CRM Systems

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Computer Science - Software Engineering

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Cards in this deck(61)

Which type of bias imposes a system's values on others?

A sales manager wants to improve their processes using AI in Salesforce. Which application of AI would be most beneficial?

What is the most likely impact that high-quality data will have on customer relationships?

What are the key components of the data quality standard?

What is the role of Salesforce's Trusted AI Principles in the context of CRM systems?

What is a benefit of data quality and transparency as it pertains to bias in generative AI?

A business analyst wants to improve business by enhancing their sales processes and customer support. Which AI applications should they use to meet their needs?

How does AI within CRM help sales representatives better understand previous customer interactions?

Why is it critical to consider privacy concerns when dealing with AI and CRM data?

A data quality expert at Cloud Kicks wants to ensure that each new contact contains at least an email address or phone number. Which feature should they use to accomplish this?

In the context of Salesforce's Trusted AI Principles, what does the principle of Empowerment primarily aim to achieve?

Cloud Kicks wants to use an AI model to predict the demand for shoes using historical data on sales and regional characteristics. What is an essential data quality dimension to achieve this goal?

A financial institution plans a campaign for preapproved credit cards. How should they implement Salesforce's Trusted AI Principle of Transparency?

What is a key challenge of human-AI collaboration in decision-making?

Which best describes the difference between predictive AI and generative AI?

What is machine learning?

The Cloud Kicks technical team is assessing the effectiveness of their AI development processes. Which established Salesforce Ethical Maturity Model should the team use to guide the development of trusted AI solutions?

What is a potential source of bias in training data for AI models?

Cloud Kicks wants to use AI to enhance its sales processes and customer support. Which capability should they use?

What can bias in AI algorithms in CRM lead to?

Which Einstein capability uses emails to create content for Knowledge articles?

A system admin recognizes the need to put a data management strategy in place. What is a key component of a data management strategy?

How does a data quality assessment impact business outcomes for companies using AI?

What is an example of ethical debt?

A consultant conducts a series of Consequence Scanning Workshops to support testing diverse datasets. Which Salesforce Trusted AI Principle is being practiced?

Cloud Kicks wants to develop a solution to predict customers' product interests based on historical data. The company found that employees from one region use a text field to capture the product category, while employees from all other locations use a picklist. Which dimension of data quality is affected in this scenario?

A marketing manager wants to use AI to better engage their customers. Which functionality provides the best solution?

Which action should be taken to develop and implement trusted generative AI with Salesforce's safety guideline in mind?

Cloud Kicks learns of complaints from customers who are receiving too many sales calls and emails. Which data quality dimension should be assessed to reduce these communication inefficiencies?

What is a potential outcome of using poor-quality data in AI applications?

Cosmic Caverns has recently implemented Salesforce AI to streamline customer interactions. A discrepancy is identified in the AI-driven recommendations, leading to potential customer dissatisfaction. Why is accountability important in this context?

The director of the data quality team in a company is evaluating the success of the implementation of their data management process. Which data quality dimension emphasizes how well data meets the specific needs and requirements of its users such as the data being meaningfully utilized in reports and dashboards?

How does consequence scanning contribute to ensuring accountability in AI systems?

In the context of ethical decision-making at Cosmic Caverns, how does overlooking detected harm or bias in AI systems impact the long-term integrity of these systems?

What is referred to as a building block of a neural network and helps understand and analyze data by transforming input from information into practical output?

What scenario could pose challenges in upholding ethical standards in AI automation processes at Cosmic Caverns customer service department?

In a hypothetical organization implementing Salesforce AI, what scenario might indicate the presence of ethical debt?

Why is transparency crucial in Salesforce AI for user trust in business or government contexts?

What is a recommended solution for evaluating and ensuring data accuracy, a critical data quality dimension, in a dynamic business environment?

What are the key principles outlined in Salesforce's Trusted AI framework?

Why is high-quality data crucial for the effectiveness of artificial intelligence in predictive models?

In the context of resolving data inconsistency at Solar Solutions Inc., which approach is most effective for enforcing standardized data formats and improving overall data quality?

Which of the following represents a valid statement regarding generative AI and predictive AI?

In the Cosmic Caverns marketing department, how can the team proactively address potential biases in AI algorithms used for content creation?

In evaluating data quality, how can one differentiate between a quantitative and qualitative variable?

How can AI contribute to predictive customer behavior and buying patterns, and what benefits does it bring to the business or company?

In the context of developing an AI predictive model, why is the 'historical' trait of data crucial, and how does it impact the model's effectiveness?

In the development of a credit scoring model for a financial institution, the dataset contains inaccuracies, including missing employment information, outdated payment histories, and currency conversion errors. What are potential consequences or outcomes of these poor-quality data issues on the credit scoring model's output?

In a scenario where a multinational e-commerce company Cosmic Mart aims to expand its product offerings and enhance customer experiences, which of the following illustrates an example initiative where high-quality data plays a key role?

What is algorithmic bias in the context of AI?

A tech company is developing an AI-powered health monitoring app that requires users to input personal health data. The company is committed to ethical data practices, recognizing the importance of handling sensitive health information responsibly to maintain user trust and comply with data protection regulations. A workshop is being held to review data handling practices and ensure they align with ethical guidelines. Which of the following practices is best identified as an ethical approach to data handling in AI development?

In a financial services company that offers various products, including credit cards, loans, and investment services, how can leveraging Einstein Next Best Action enhance customer experience?

In the Cosmic Caverns marketing department, how can bias be effectively mitigated in generative AI models within CRM applications to ensure fair and unbiased outcomes?

Cosmic Healthcare is developing a predictive model to identify patients at a higher risk of developing a specific medical condition. The data science team is utilizing various health indicators and historical medical records for the model. However, during the development process, they inadvertently included the future diagnosis status of the patients in their training dataset. In this scenario, what term best describes the unintended inclusion of future diagnosis status in the training data, potentially leading to inaccurate model performance?

A marketing manager wants to use Predictive AI to improve their email marketing campaign. Which of the following statements best describes how Predictive AI can help them achieve this goal?

Solar Growth Inc. is exploring ways to enhance its operations using AI technologies. Solar Growth Inc wants to choose the AI application that will most effectively increase customer engagement and sales on its website. Which AI application should be implemented to achieve their goal?

In the Cosmic Caverns sales department, what represents a potential ethical challenge associated with AI?

Which of the following describes a table characteristic that represents well-structured data?

In business contexts, how does data quality play a crucial role, and what impact does it have on the precision of AI predictions?

Cosmic Finance, a leading investment firm, wants to evaluate the performance of its investment portfolio over the last five years. The firm aims to gain insights into the historical trends, risks, and returns associated with different asset classes. They are particularly interested in summarizing the past data to inform their investment strategies for the upcoming year. In the pursuit of evaluating the performance of investment portfolios and understanding historical trends, which type of data analytics would be most suitable?

In the context of Ethical AI practice maturity within the Human Resource department at Cosmic Caverns, how does it contribute to responsible AI use?

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