Data Quality stories
It aims to help marketers turn fragmented data, audience and creative decisions into one workflow as AI adoption moves into routine campaign work.
Messy PDFs and weak extraction are quietly undermining enterprise AI, driving hallucinations, rework and stalled projects at scale.
Financial institutions will gain access to licensed market data and governance tools as OpenAI targets research, modelling and client documents.
Keeping stale records in active systems can distort reporting, raise security exposure and drive up storage costs for organisations.
Daimler Truck's manufacturing operations will get earlier warnings of IT faults as NTT Data adds AI monitoring and automation across its global infrastructure.
Poor data quality is undermining Australian firms' ability to trust AI, with 70% of leaders saying they lack full confidence in systems used internally.
Most large firms are yet to embed AI fully, as data, integration and governance issues keep agentic projects stuck in pilots.
The preview kit could cut the time data developers spend switching between warehouses, databases and storage while still needing approval for each action.
More local support is being lined up for firms in Belgium, the Netherlands and Luxembourg as AI projects intensify scrutiny of data quality.
Campaigns can fail at the final mile if stale inboxes and recycled numbers keep time-sensitive offers from reaching the right consumers.
Enterprises could cut AI costs and speed incident resolution as NETSCOUT adds packet-derived evidence to existing observability tools.
Higher AI spending is doing little to cut false positives, as most banks still run alert-heavy surveillance systems, a survey found.
Most firms lack the controls and skills to govern agentic AI, yet spending is rising fast as pilots spread across Canada.
Funding gaps and manual processing mean most post-trade firms are not yet ready for the UK's faster T+1 settlement cycle.
Trust in AI tools for social housing is becoming a bigger selling point as HousingAI adds commercial and research expertise.
Concerns over legal, reputational and data risks are rising as nearly all Singapore companies use AI, yet trust in its accuracy stays low.
Most Australian firms using AI still lack a settled view on liability, even as 61% insist humans should review major decisions first.
Slow approvals are costing UK businesses hundreds of thousands of pounds a year as finance teams turn to AI to cut admin.
Fresh data and tighter controls are becoming critical as businesses push AI into production, with weak lineage and quality seen as a major risk.
Built-in generative, predictive and agentic features aim to cut manual work and sharpen forecasting for more than 1,500 Pronto Xi users.