Data Quality stories
Poorly governed data can quickly turn agentic AI into an operational risk, as autonomous systems begin executing decisions without human confirmation.
Poor address data can raise fraud losses, trigger compliance failures and slow onboarding, making identity checks less reliable.
Poor data, ageing systems and tight regulation are leaving most bank AI projects stuck in pilots, despite heavy investment in the technology.
Finance chiefs could lift profits by 2029 if they back AI with broader systems upgrades, Gartner said, as budgets rise.
Telecom operators risk stranded pilots if they put AI live too quickly, with 43% of professionals citing rushed rollouts as the biggest mistake.
Its anniversary highlights a push to win AI customers wary of opaque systems, with Viya pitched on governance, transparency and human oversight.
The update aims to curb AI project failure by baking governance into data preparation, analysis and automation across cloud-native workflows.
Finance teams risk missing productivity gains unless staff learn to use AI with stronger oversight, governance and judgement.
Retailers could update listings faster as Akeneo's Spring Release uses search and marketplace signals to reshape product data.
Cybersecurity and skills gaps are leaving many mid-sized firms unable to turn AI investment into stronger profits or revenue growth.
Advertisers risk losing household-level accuracy as changing IP addresses disrupt targeting, frequency controls and attribution during campaigns.
Banks that fail to modernise core systems may struggle to scale AI, cloud services and new payment rails, Temenos and Bain warn.
Businesses using Gemini Enterprise can now keep AI answers aligned with approved data and rules, reducing errors in finance, operations and compliance.
Enterprises are under pressure to prove AI returns as Google pushes reusable, sector-specific playbooks into production across 19 industries.
Banks risk missing fraudulent identities unless eIDV checks are paired with verified address data and stronger data quality controls.
Yet most Australian mid-sized firms still lack the training and governance needed to turn AI use into broader revenue gains.
Technology leaders say the country risks falling further behind as AI adoption, cyber threats and rising costs outpace progress.
Large merchants can now push product catalogues into AI shopping tools, with Dell among the first to test the new service.
Mortgage networks can now review every case in minutes, as OMS and Curvestone AI roll out automated checks to curb compliance risk.
Tighter identity checks are now crucial as Australian gambling operators face higher money-laundering risks and multimillion-dollar penalties.