As artificial intelligence (AI) continues transforming industries, organizations face increasing challenges in managing and utilizing data for AI initiatives. Recent industry surveys and expert insights highlight the critical role of effective data management in AI success. This article explores key trends, challenges, and best practices in data management for AI projects, providing valuable insights for developers, engineers, and architects based on a recent discussion with Adrian Estala, VP and Field Chief Data Officer at Starburst.
The Imperative of Real-Time Data Access in AI
Real-time data access has emerged as a crucial factor for AI success. Implementing real-time analytics poses several challenges for organizations:
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