The real estate industry faces persistent challenges in tenant screening, fraud detection, rent pricing optimization, and predictive maintenance, often leading to financial losses and operational inefficiencies. This session will explore how AI-powered automation is transforming property management, making rental operations more efficient, secure, and profitable.

Using real-world case studies from Nook, we’ll demonstrate how AI-driven tools can reduce tenant fraud by 40%, optimize rent pricing based on market trends, and cut emergency maintenance costs by 30%. Attendees will gain insights into building and scaling AI models for risk assessment, compliance automation, and predictive analytics in real estate.

This session is ideal for real estate professionals, AI practitioners, and business leaders looking to leverage AI to streamline property management and drive market growth. Attendees will leave with actionable strategies for integrating AI-driven solutions into traditional industries while ensuring compliance and ethical AI decision-making.