This theme focuses on the application of generative AI to address longstanding challenges in business research.

Research Paper Ideas may include (but not limited to):

• Generative AI for corporate communications – Using large language models to automate earnings reports, press releases, executive communications, etc.
• AI-synthesized multimedia – Leveraging generative models to create marketing videos, virtual influencers, synthesized images.
• Generative AI for competitive analysis – Using models to synthesize and analyze text from competitors, business news, industry reports.
• Personalized conversational agents – Crafting natural language interfaces and chatbots tailored to individual customers.
• Personalized marketing campaigns – AI-driven copywriting for personalized marketing campaigns.
• Content Marketing with Large Language Models: Creating SEO optimized landing pages using Large language Models.
• Unsupervised Market Segmentation –  Employing generative models to discover new market segments based on customer data.
• Real-Time Advertising – Adapting advertising content in real-time based on public sentiment using generative models.
• Data Simulation Methodologies – Use of generative models for simulating business scenarios or customer behavior.
• Synthetic Dataset Creation – Applying generative models to synthesize company datasets for training predictive models.
• Generative Design for New Product Development – Employing GANs, Diffusion models, and variational autoencoders for new product designs.
• Use of Generative Models for Recommendation Systems
• Use of Generative Models for Education and Learning