Act as a data scientist with 10 years of experience in social media analytics. Explain how AI can predict trending topics on Twitter by analyzing [specific data sources] such as hashtags, user engagement, and tweet frequency. Describe the role of [machine learning algorithms] like NLP and clustering in identifying patterns and predicting trends. Include examples of how [external factors] such as current events, social movements, or viral content influence these predictions. Provide a step-by-step breakdown of the process, from data collection to trend forecasting, and highlight the challenges and limitations of AI in this context. Finally, suggest how businesses and marketers can leverage these insights to enhance their social media strategies on platforms like Twitter and LinkedIn.