A. Collect and curate high-quality data from reliable sources.
B. Rely on AI algorithms to automatically handle data quality issues.
C. Prioritize model fine-tuning over data quality improvements.
A. Poor data quality
B. Too much data
C. The wrong product
A. Adjust the Al model to account for the data inconsistencies.
B. Investigate the data inconsistencies and apply data quality techniques.
C. Increase the quantity of data being used for training the model
A. Plan and align territories,
B. Run a new report or dashboard.
C. Identify business objectives.
A. Usage
B. Accuracy
C. Consistency
A. Streamlines case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions
B. Improves CRM security protocols, safeguarding sensitive customer data from potential breaches and threats
C. Fully automates the customer service experience, ensuring seamless automated interactions with customers
A. Predict
B. Discover
C. Generate
A. The clear and understandable explanation of Al decisions and actions
B. The customization of AT features to meet specific business requirements
C. The integration of AT models with Salesforce workflows
A. Generative AI finds content similar to existing data and predictive AI analyzes existing data.
B. Generative AI creates new content based on 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. Providing a framework for AI data model accuracy
B. Outlining the technical specifications for AI integration
C. Guiding ethical and responsible use of AI
