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Driving AI Success with a Modern Approach to Data Management

Published by Veeva Systems

The document emphasizes that AI in life sciences is heavily dependent on a robust data foundation. Traditional data warehouses are not equipped to support the dynamic nature of AI applications due to their rigid structures. A modern, cloud-based data management approach is essential for integrating diverse data sources, enabling real-time analysis, and driving AI-driven insights. This strategy empowers organizations to enhance customer engagement, streamline sales operations, and leverage predictive analytics. By adopting next-generation commercial data warehouses, companies can quickly adapt to evolving data needs, making them well-positioned to harness AI’s full potential for commercial innovation and operational efficiency.

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Related Categories Artificial Intelligence, Business & Enterprise Solutions, AI Strategy, AI Governance, Sales & Marketing, Predictive Analysis, Customer Segmentation, Lead Scoring, Personalization, Sales Forecasting, Data Management, Healthcare, Energy Management Systems

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