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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives
- Data integrity is crucial for AI initiatives and better decision-making, but data trust is declining across organizations.
- Data ecosystem complexity, pervasives cloud modernization, and viewing data as a product all lead to a decline in data confidence.
- Successful AI implementations rely on data governance, quality, and overall integrity.
- To find success with AI initiatives, organizations need to upskill their employees and create a data-driven culture.
- Improving data quality and governance is key, with metadata management and behavior-based data observability being crucial focus areas.
- Businesses are increasingly recognizing the value of location-based insights as a source of competitive advantage.
- Enhancing data with location intelligence can help businesses make more informed decisions in areas such as site selection, last-mile delivery optimization, and risk assessment.
- To stay ahead of the curve, businesses must focus on building a long-term, disciplined approach to their data strategy, and investing in next-generation technologies.
- Data integrity is a top priority for 76% of organizations surveyed, with data-driven decision-making as a top goal for their data programs.
- Businesses also need to identify relevant data sets for AI training and inference to prevent introducing harmful biases into their models.
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