Top 5 Generative AI Challenges Faced By Enterprises

In 2024, 84% of businesses plan to adopt AI.  But, they will face challenges.

1. Data Wrangling

The management and preparation of large, diverse datasets for AI, is challenging due to its complexity and scale.

2. Hallucination in AI

Enterprises struggle with AI 'hallucinations' or generating false information, which can lead to unreliable outputs.

3. Model Obsolescence

Rapid tech advancements can quickly make enterprise AI models outdated.

4. Model Training

Effectively and efficiently training AI models is a major challenge, demanding considerable resources and expertise.

5. Ethical AI Implementation

Addressing biases and decision-making impacts in AI algorithms.