Learn how generative artificial intelligence can help companies increase employee productivity through powerful capabilities like code generation and conversational search. Unlock the potential of generative AI to streamline workflows and empower your workforce.
Table of Contents
Question
You would like to use generative articial intelligence (AI) to boost employee productivity.
Which responses describe how generative AI can help companies boost employee productivity? (Select TWO.)
A. Content localization
B. Supply chain optimization
C. Conversational search
D. Code generation
E. Data augmentation
Answer
C. Conversational search
D. Code generation
Explanation
These two use cases are just a couple of examples of how customers can use generative AI to boost employee productivity.
Conversational search leverages generative AI to enable employees to search for and retrieve information using natural language queries. Instead of relying on specific keywords, employees can ask questions or describe what they are looking for in plain language. The generative AI system interprets the intent behind the query and generates the most relevant search results. This saves time and allows employees to quickly find the information they need to do their jobs.
Code generation uses generative AI to automatically write code based on natural language prompts or specifications. Employees describe the functionality they need, and the AI system generates the corresponding code. This can significantly speed up software development by handling routine coding tasks so developers can focus on higher-level design and problem-solving. Code generation helps boost productivity for technical employees.
The other options, while potentially useful applications of generative AI, do not directly boost employee productivity:
A. Content localization refers to adapting content to different languages and regions, which expands reach but doesn’t necessarily make employees more productive.
B. Supply chain optimization improves operational efficiency but is less directly tied to employee output.
E. Data augmentation generates new data to expand training datasets, but this is more relevant for improving AI systems rather than human productivity.
So in summary, conversational search and code generation are the two key ways that generative AI can boost productivity by helping employees work faster and more efficiently. The AI acts as a collaborative assistant to accelerate information retrieval and automate routine tasks.
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