Data Quality stories - Page 6

Agentic AI promises autonomy but raises urgent questions over whose values guide its decisions and how equity is safeguarded in practice.

AI is flooding construction workflows, but without better, real-time documentation, disputes over contracts and evidence will only intensify.

Manufacturers reap early AI returns but poor data quality, fragmented tools and network limits block efforts to scale projects enterprise-wide.

Tamr's direct SaaS revenue surges 102% as enterprises embrace AI-driven data mastering to underpin production-ready AI deployments.

Marketing's future belongs to teams that master open, unified data infrastructure instead of guessing through disconnected systems.

Women's health tech is failing because data, research and investment still treat female bodies as exceptions, not the default.

Amperity names seasoned SaaS marketer Bridget Perry as CMO to drive global growth and sharpen its AI-focused customer data platform.

GrayCyan launches an AI readiness and ROI scorecard to test if industrial workflows and systems can truly support responsible automation.

MSCI appoints ex-Goldman executive Dinesh Gupta as Chief Data Officer and Global Head of Operations to drive its data and AI strategy.

Reliable, contract-based data pipelines are the real foundation of trustworthy AI, turning fragile experiments into robust, scalable systems.

Banks risk AI 'infrastructure traps' as long projects outpace fast-evolving models, wasting budget while nimbler rivals ship real solutions.

With 88% of Australian tech leaders doubting IT ROI, IT financial management emerges as the missing link between spend and value.

Ataccama adds AI-driven data observability to its ONE platform, unifying pipeline monitoring, alerting and governance for regulated users.

AI structure design, data foundations and mentoring, not just hiring targets, have a significant impact on women's careers in tech.

APAC banks face data gaps, false alerts and opaque ownership as they race to modernise sanctions screening amid fragmented rules.

Insurers race to clean and connect sprawling customer records into a single AI‑ready view, paving the way for hyper‑personalised cover.

ANZ marketers embrace AI to meet soaring demands for real-time, two-way customer conversations, but patchy data and generic campaigns hold them back.

Enterprises must replace ad-hoc data cleansing with real-time, AI-ready data integrity architecture to secure compliance and competitive edge.

AI-enabled cloud ERP could cut finance close times by 30% by 2028, as Gartner tips modular, automated systems to reshape CFO agendas.

Marketers are hesitant to embrace AI as data quality, security fears and skills gaps fuel a widening confidence and adoption divide.