Tech debt stories
Outdated web pages and poor product data could erode customer trust and leave large UK businesses exposed to GBP £525 million in lost revenue.
Legacy systems and skills gaps mean 69% of UK public bodies say outdated tech is blocking AI plans, Cloudhouse research reveals.
UK vows Cyber Action Plan with GBP £210m for public-sector defences, as tech leaders warn success hinges on long-term reform and culture.
Hidden complexity is slowing Asia Pacific firms' AI and cloud upgrades, as ageing Java estates become harder to maintain and secure.
By isolating early tests from its core systems, the video platform hopes to turn brittle AI ideas into user research in weeks rather than months.
Weaker oversight could turn AI-generated code into a costly drag, with security flaws and technical debt rising in enterprise projects.
Enterprise teams using AI coding tools may face higher technical debt, security gaps and costs, according to new SIG research.
The new capital will help the Boston startup expand sales and engineering as firms seek clearer oversight of AI-assisted coding and software risk.
Hybrid data setups are forcing firms to juggle governance, costs and AI access across multiple platforms, Acceldata's survey found.
Enterprises are under pressure to prove AI returns as Google pushes reusable, sector-specific playbooks into production across 19 industries.
Rising use of AI assistants is making software harder to understand, prompting teams to revive stricter testing, controls and oversight.
Rimini Street hails a looming “SaaS‑pocalypse”, pitching its Smart Path as an AI-era escape route from costly cloud and platform lock-in.
Australian subscription brands are turning to hyper-automation to replace clunky billing, scale complex pricing and stay ahead of rivals.
Uncoordinated AI rollouts risk creating costly “AI sprawl” and waste by 2026, with Nintex warning trust and governance are lagging.
Forrester forecasts a slowdown in AI spending for 2026 as firms prioritise governance and risk amid increased scrutiny from CFOs and tech leaders.
Year-end reporting and AI growth are exposing costly data sprawl, as many firms struggle to safely retire legacy systems without disruption.
Hidden legacy systems are draining budgets through maintenance, manual workarounds and cyber risk, turning deferral into an expensive future liability.
AI is now mission-critical, but slow, siloed pilots and weak data foundations are stopping organisations from turning vision into value.
SaaS firms turning integrations from cost burdens into growth drivers see faster sales, larger contracts, and stronger customer loyalty through seamless connectivity.
New Zealand must close its AI divide by boosting digital maturity and investing in skills to reverse its productivity decline and compete globally.