Data Quality stories
Only 3% of company leaders are using AI strategically for global work, as Vialto's new platform aims to fix fragmented data and compliance risks.
Enterprises could cut AI data-handling overhead as the storage group adds native analytics, governed model access and faster object storage to VSP One.
The vast majority of ANZ firms are still struggling to prove AI pays off, with many lacking budgets, governance and reliable data foundations.
Agencies could gain margin and speed by replacing disconnected software with one system that gives consultants live client, candidate and revenue data.
Businesses using HubSpot can now trigger and log personalised SMS within existing workflows, reducing manual handling across sales, marketing and service teams.
Outdated records can delay tax notices, benefits and emergency alerts, while also increasing fraud and compliance risks across public services.
Poor member records could blunt insurers' AI gains, leaving group protection providers unable to improve underwriting, claims or service consistently.
Poor data can undermine compliance, fraud detection and reporting, making strong governance essential for banks handling sensitive customer records.
Boards will face rising data bills as AI boosts compute demand and forces firms to cut duplication, govern meaning and trust one source of truth.
Brands will need cleaner data and tighter AI governance to avoid tone-deaf offers and ensure customer decisions still reflect human judgement.
New research suggests finance chiefs are being held to account for strategy while lacking the authority to deliver it, with only 55% reporting high control.
Insurers with tighter AI controls are far more likely to expect strong returns, while laggards are focused on cost cuts and see little payoff.
The integration is aimed at firms under regulatory and AI scrutiny, helping them trace data changes and see which reports or systems could be affected.
Staff can now query trusted enterprise records in Teams and Microsoft 365 Copilot, with answers tied to source evidence and permissions.
AI projects were far likelier to meet expected returns when sales and marketing teams had documented data governance, a survey of 176 leaders found.
Although nearly 90% of food and beverage manufacturers are using or planning AI, only about 45% of collected data is used effectively.
Only 8% of data and AI leaders said their information was ready for scale, as weak governance and skills gaps held back adoption.
Poor-quality records can undermine compliance, slow onboarding and weaken fraud checks, making robust data governance essential for banks.
Most UK marketing leaders fear their data strategies may soon fail as cookies fade and audience-targeting accuracy comes under pressure.
Process safety teams can save time on hazard reviews, but flawed data and false confidence mean engineers must still make the final call.
