Advancing Analytics with Teradata's AI Capabilities

This white paper outlines the challenges and solutions associated with scaling analytics in organizations, particularly through the use of machine learning (ML) and artificial intelligence (AI). It describes how many companies experience a gap between experimentation and impactful deployment of AI/ML solutions, often due to a lack of access to specialized talent and fragmented data environments. The paper emphasizes the importance of standardizing analytic datasets and highlights Teradata's approach to feature engineering, model training, and deployment. It details how Teradata's analytics strategy focuses on feature reuse and data harmonization, enabling organizations to operationalize AI/ML effectively. The paper also discusses the need for scalable, high-performing production systems that can provide transparency and compliance, especially in regulated industries. By implementing Teradata's Enterprise Feature Store and ClearScape Analytics, organizations can enhance productivity, reduce time to market, and improve the overall effectiveness of their analytics initiatives.