Data Quality stories - Page 11

Technology leaders warn 2026 will be a make-or-break year as businesses demand tangible AI value, workflow redesign and tighter security.

Digital transformation falters not for lack of tech, but because untrusted data quietly undermines scale, speed and customer experience.

Generative AI promises transformation, but without modern, rigorous data governance frameworks, projects risk failure, fines and lost trust.

Skipping email verification can throttle your campaigns, wreck deliverability, and quietly bleed customers from every send you make.

Bad data is quietly wrecking Asia's eCommerce, fuelling failed deliveries, higher costs and eroding customer trust from click to doorstep.

North Korean hackers stole USD $300M via fake Zoom calls; robust identity checks could have broken the scam's chain of trust.

Boards are set to demand tougher ROI and stricter data foundations from AI projects in 2026, as natural language tools reshape data work.

AI agents will reshape brand discovery by 2026, Kantar predicts, as marketers race to optimise for algorithmic assistants and micro‑communities.

As cross-border payments soar towards USD $1 quadrillion, businesses race to tackle identity fraud with AI, biometrics and smarter data.

Kyckr retains top spot as Chartis names it KYC data category leader for 2025, highlighting its strengths in real-time global registry data.

Flawed, fragmented data is wasting time, money and AI potential; firms must fix ownership, visibility and tooling to restore trust.

iManage reports 28% recurring revenue growth as firms rush to govern AI with cloud-based document management and tighter data controls.

Dirty B2B data silently drains revenue; smart cleansing, automation and best practice can revive performance and protect your brand.

Sage CTO Aaron Harris says CFOs must demand transparent, auditable AI in finance as trust becomes a measurable requirement by 2026.

Manufacturers bet heavily on AI to boost margins within two years, even as most admit their plants lack the readiness to deploy it at scale.

Cloudera predicts 2026 will bring disposable AI-built apps, tougher scrutiny of patchwork systems and AI agents policing data governance.

APAC firms are shifting from AI pilots to real-time, scaled deployments in 2026 as data, ROI demands and regulation rapidly converge.

AI will unleash short-term chaos and “shadow AI” risks before governance tools restore control, warns OutSystems chief Woodson Martin.

With tariffs climbing and margins squeezed, businesses are turning to precise address data to cut delivery costs and avoid customs delays.

AI data centres are set to strain power grids, labour and emissions targets, forcing the UK and Australia to rethink energy and skills plans.