What are the key differences between generative AI, which can create new and unique data, and predictive AI, which uses statistical models to forecast future outcomes, and how do these differences impact their applications in industries such as healthcare and finance?

Generative AI can create new molecules that don't exist in nature, which can lead to breakthroughs in medicine and material science.

Predictive AI can forecast patient outcomes in healthcare, reducing hospital readmissions by up to 30%.

Generative AI can generate synthetic medical images, reducing the need for real-world data and accelerating medical research.

Predictive AI can analyze genomic data to predict genetic disorders, allowing for early intervention and personalized treatment.

Generative AI can create realistic synthetic data, enhancing predictive models and improving forecasting capabilities by up to 25%.

Predictive AI can forecast stock prices with an accuracy of up to 80%, outperforming human analysts.

Generative AI can design novel product features, reducing design time by up to 50% and increasing product innovation.

Predictive AI can identify high-risk patients, allowing for targeted interventions and reducing healthcare costs by up to 20%.

Generative AI can generate personalized music, revolutionizing the music industry and improving customer experiences.

Predictive AI can forecast energy consumption, reducing energy waste and improving grid resilience by up to 15%.

Generative AI can create realistic virtual models of organs, reducing the need for animal testing and accelerating medical research.

Predictive AI can forecast supply chain disruptions, reducing inventory costs by up to 12% and improving supply chain resilience.

Generative AI can generate realistic virtual environments, improving video game development and enhancing user experiences.

Predictive AI can forecast customer churn, reducing customer turnover by up to 25% and improving customer satisfaction.

Generative AI can create novel protein structures, accelerating protein engineering and improving biotechnology research.