Opinion: Akerman's Melissa Koch explains why the quality of data in legal artificial intelligence matters more than the ...

Nearly every major privacy law requires “data quality,” but it’s become the most forgotten of all of the internationally recognized privacy principles.

The result: a race to secure high-quality, trusted data sources. With AI models being increasingly applied in critical uses like healthcare and safety, data quality is becoming a significant issue .

Let’s explore what it takes to achieve quality, consistency and privacy in modern data partnerships. Quality: A Comprehensive, Trusted Data Approach. High-quality data is the cornerstone of effective ...

If ethnicity is collected for general reporting, I suspect you'll get less penetration and less high-quality data rather if you had clearly stated and measurable objectives." NOT FOR REPRINT ...

High-quality data (e.g., data that is current, consented, filtered and enriched) empowers AI to make informed decisions, with greater accuracy and in real time, thus delivering more reliable outcomes.

By aligning data collection with business objectives and compliance standards and regulations like ISO 27001, GDPR and DPDPA, we ensure that only structured, actionable data fuels analytics ...

High quality, privacy compliant data providers that work with Neutronian to improve their data privacy scores or achieve certification can be rewarded via faster sales cycles and increased ...

While the use cases above demonstrate the breadth of what’s possible with IPPs, the success of any B2B2C strategy depends on the quality of the data that powers it. Creating unified, accurate and ...

Depending upon data privacy laws and consent, interviews in some countries are recorded as a quality-control tool. Another tactic is to monitor the percentage of interviews conducted by any given ...

Datavant, a leading health data platform company, today announced that it has signed an agreement to acquire Aetion, a leading real-world evidence (RWE) plat ...