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A. Safeguarding fundamental human rights and protecting sensitive data
B. Taking responsibility for one's actions toward customers, partners, and society
C. Ensuring transparency In Al-driven recommendations and predictions
A. Opportunity List View, Lead List View, Account List view
B. Opportunity Scoring, Opportunity List View, Opportunity Dashboard
C. Opportunity Scoring, Lead Scoring, Account Insights
A. Leads to more informed and balanced decision making
B. Alerts humans to the presence of biased data
C. Reduces the need for human involvement
A. Sales data cleansing and customer support data governance
B. Machine learning models and chatbot predictions
C. Lead scoring, opportunity forecasting, and case classification
A. Empower users to off all skill level to build AI application with clicks, not code.
B. Empower users to contribute to the growing body of knowledge of leading AI research.
C. Empower users to solve challenging technical problems using neural networks.
A. To cleanse and prepare data for AI implementations
B. To interpret and understand programming language
C. To understand and generate human language
A. Generative AI creates new content based on existing data and predictive AI analyzes existing data.
B. Generative AI finds content similar to existing data and predictive AI analyzes existing data.
C. Generative AI analyzes existing data and predictive AI creates new content based on existing data.
A. Testing models with diverse datasets
B. Striving for model explain ability
C. Working with human rights experts
A. Education level
A. Naming Convention
B. Data Backup
C. Color Coding
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