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• To develop a trustworthy, efficient and scalable AI strategy, we are seeing businesses adopting a data lakehouse architecture that provides built-in, customizable data governance protections
• In fact, based on the recent MIT Tech Review Insights Report, 74% have already made the move to lakehouse architecture. Data practitioners need a comprehensive data platform that can accommodate the size and scale of massive datasets and effectively gain value from that data through AI and ML modeling.
• Data scientists, analysts and engineers can securely discover, access, and collaborate on trusted data and AI assets, leveraging AI to boost productivity and unlock the full potential of the lakehouse environment. Organizations across industries can accelerate data and AI initiatives while ensuring regulatory compliance with security and simplicity.
• Companies must constantly move toward better, faster, and more available products and services to remain competitive in any market.

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