Tag: data quality
5 articles
data governance: Must-Have Best Practices for Agencies
Agencies sit on mountains of untapped data that could transform services and power trustworthy AI — but only if leaders invest in clear governance, modern infrastructure, skilled teams, and privacy-first practices to turn messy records into actionable insight.
data poisoning: Stunning Dangerous Surge in Firms
New research shows about one in four UK and US firms have faced data poisoning attempts that corrupt AI training data — a stealthy threat that can make models misbehave, leak sensitive information, or embed persistent backdoors. It’s a wake-up call: protecting AI means treating data integrity as a first-line defense.
State labor exchanges: Must-Have Fixes for Better Hiring
When state job-matching sites rely on brittle keyword searches and aging systems, job seekers and employers face frustrating mismatches, delays, and missed opportunities. With smarter data standards, human-reviewed matching, and sustained investment, public exchanges could finally deliver faster, fairer connections for everyone.
AI Cyber Defense: Must-Have Strategies for Best Security
Join NIST NCCoE’s virtual working sessions to explore how the Cyber AI Profile can harness AI to sharpen threat detection, cut alert fatigue, and strengthen defenses—while tackling the ethical and security risks that come with it. Technologists, policymakers, and practitioners are invited to collaborate and shape trustworthy, practical AI-driven cybersecurity solutions.
Legal metrology challenges: Exclusive Best Solutions
When invisible sensors, apps, and algorithms start measuring what we buy, use, and trust, old rules for accuracy struggle to keep up — and consumers can lose out. Discover practical, tech-savvy solutions that balance transparency, security, and innovation so digital measurements remain fair, verifiable, and dependable.