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Resources >>Cloud-Driven Excellence: Achieving Superior Data Strategy and Quality in a Fragmented Landscape.
Building a high - performance data
and AI organization
Effective data management is crucial for organizations to harness actionable insights and machine learning benefits. Despite advanced tools, many face challenges with data fragmentation and quality. Only 13% of organizations excel in delivering on data strategy, thanks to strong data management and cloud adoption.
Mastering Data Management: Unlocking Actionable Insights and Machine Learning Success.
- Cloud, once considered an
optional technology environment,
is today the foundation for
modernizing data management:
63% of respondents use cloud
services or infrastructure widely
in their data architecture
- Achieving better data management by improving data quality
and processing is critical to enabling growth-oriented efforts,
like those driven by ML, to move ahead at speed.
- Three-quarters of those working in the power sector say the
lack of a central place to store and discover ML models is a
major hindrance to scaling, as do over two-thirds of those in the
government and consumer goods sectors.
- Open-source standards and open-data formats are
top of the wish-list for technology leaders, followed
by stronger security and governance, and better
price/performance for architecture elements.
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