Data Quality stories
By 2026, Australian firms will prioritise data quality and governance over AI hype, focusing on measurable outcomes and strong tech foundations, says Notitia.
From 2026, Australian exporters must adopt stricter compliance and e-invoicing rules to navigate US tax complexities and new Asia-Pacific digital standards.
Optidan Core launches to tackle the retail product data crisis by providing structured, AI-ready content for better search visibility and customer trust.
Financial firms face rising fines and must adopt digital regulatory reporting to ensure compliance, cut costs and boost operational resilience in 2024 and beyond.
Analysis shows 85% of Australian online retailers' product pages underperform in search, with 49% product description duplication hindering AI-driven discovery.
Informatica and Microsoft unite to enhance AI agents' trustworthiness by integrating cloud data services with Microsoft Foundry for secure, compliant AI solutions.
Informatica and Microsoft enhance AI agent capabilities by integrating trusted data management with Microsoft Foundry for secure, compliant enterprise AI.
Tamr launches Curator Hub, combining AI and human oversight to improve complex data quality and support enterprises' generative AI projects.
Ataccama and Cognizant unveil ONE Bridge, cutting data platform migration time by 40% and easing compliance with automated workflows.
AI and automation are transforming supply chains from rigid forecasts to adaptive systems, blending technology with human insight for resilience and agility.
Singapore firms plan to boost AI spending to SGD $18.9m this year, with rising ROI but face challenges in workforce skills and data integration.
Surging AI investments risk outpacing technical readiness, sparking fears of a market correction akin to the 2000 dotcom crash, warns Alphabet CEO Sundar Pichai.
Marketing agencies can turn fragmented data into revenue by using AI-driven systems that enable continuous testing, learning, and real-time optimisation.
Telecom leaders face an 18-month window to harness AI and transform networks into customer-centric products, securing market dominance for the next decade.
A surge in AI adoption sees 72% of firms integrating AI by 2024; IT leaders share six key lessons for successful journeys and avoiding pitfalls.
Intelligent archiving enables businesses to optimise data for generative AI and cloud use, ensuring clean, accessible datasets and reducing storage costs.
Businesses must specify which AI type they adopt-LLMs, generative, or predictive-to drive meaningful digital transformation and avoid empty buzzwords.
In 2026, construction firms must prioritise edge technology and AI integration to boost productivity, safety, and sustainability on the jobsite front.
Private equity firms are realising that involving data engineers early in strategy boosts insights and value beyond just technical support roles.
Most UK retailers, despite heavy AI investment, still deliver only basic personalisation, frustrating shoppers and hitting revenues, industry research finds.