Niti Aayog's report highlights the critical role of data quality in digital governance, emphasizing a cultural shift for ...

India’s rapid digitization across sectors—from health and education to public infrastructure and welfare delivery—has created ...

Human-in-the-loop data management systems integrate human judgment into automated processes, inviting users to review, ... High-quality data is essential for digital transformation, ...

Niti Aayog's report has highlighted the critical need for improved data quality to strengthen digital governance and foster ...

As data-centric AI, automated metadata management and privacy-aware data sharing mature, the opportunity to embed data quality into the enterprise’s core has never been more significant.

Elevating Data Quality Through AI. Data quality is critical for effective management and directly impacts an organization’s ability to derive insights and make informed decisions.

For example, if a system has a history of generating poor-quality data, AI can flag new data from that system for extra validation, helping organizations proactively address data quality issues. 5.

Importance of data quality management in clinical trials The pharmaceutical industry relies on data from multiple sources, including electronic health records (EHRs), patient-generated data, and ...

Asset management was once an industry built on personal relationships, market intuition, and carefully guarded investment philosophies. Now, at a time when manufacturers harness digital twins and ...

Niti Aayog on Tuesday emphasised the urgent need for robust data quality to fortify digital governance, cultivate public ...