💡 When to Use Generative AI: A Practical Guide

Some experts have recently been posting how bad AI is. They have not learned how and when to use it. It’s magical if you pick the right use cases.

The latest from Gartner explains the strengths and weaknesses of current Generative AI (GenAI) models across various use cases. Understanding where GenAI excels and where it falls short can significantly impact its successful deployment in business.

Highly Effective Use Cases 🟢:

➡️ CONTENT GENERATION: GenAI is highly effective for tasks like text, image, and video generation.

➡️ CONVERSATIONAL USER INTERFACES: Virtual assistants, chatbots, and digital workers benefit significantly from GenAI’s capabilities.

Moderately Effective Use Cases 🟡 :

➡️ SEGMENTATION/CLASSIFICATION: Useful for clustering, customer segmentation, and object classification.

➡️ RECOMMENDATION SYSTEMS: Effective for personalized advice and recommendation engines.

Least Effective Use Cases 🔴 :

➡️ PREDICTION/FORECASTING: GenAI struggles with risk prediction, customer churn forecasting, and sales/demand predictions.

➡️ DECISION INTELLIGENCE: Falls short in areas like decision support, augmentation, and automation.