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• The MIT Technology Review Insights report, "Building a high-performance data and AI organization," surveyed 351 senior technology executives to understand how data management and the technologies they rely on are evolving amid challenges.
• The report, sponsored by Databricks, focuses on the importance of data-driven organizations, which can generate actionable insights from data in real-time.
• Companies are deploying advanced cloud-based technologies, including analytics tools with machine learning capabilities, to help them become data-driven
• However, these tools will only be of limited value without abundant, high-quality, and easily accessible data.
• Effective data management is one of the foundations of a data-driven organization, but managing data in an enterprise is highly complex. As new data technologies come on stream, the burden of legacy systems and data silos grows, unless they can be integrated or ring-fenced.
• Fragmentation of architecture is a headache for many CDOs due to silos and the variety of on-premise and cloud-based tools used.
• Poor data quality and fragmentation of architecture deprive organizations' data platforms and the machine learning and analytics models they support of the speed and scale needed to deliver desired business results.

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