Cloudera stories
The new feature could cut Spark job runtimes by up to 4x, easing cloud bills for firms running data-heavy AI and analytics workloads.
Asia Pacific firms are reworking data systems to meet AI rules, as Cloudera unveils a hybrid platform aimed at keeping data in place.
The platform is aimed at firms struggling to move AI into production while keeping sensitive data in place across mixed environments.
Most enterprises are overhauling data systems as 95% say governance and infrastructure hurdles have delayed or cancelled AI projects.
Only 7% of organisations say their data is ready for AI, risking weaker personalisation and costlier technology investments.
Governance and infrastructure problems have forced 95% of enterprises to delay or scrap AI projects, according to a new Cloudera survey.
Governance and infrastructure are blocking AI scale-ups, with 95% of enterprises delaying or cancelling projects, Cloudera said.
The ranking may strengthen Cloudera's pitch to regulated enterprises struggling to move AI pilots into production at scale.
Fewer than 5% of Australian organisations have scaled AI, leaving data leaks, bias and compliance failures as real risks for business leaders.
Enterprises could see better GPU use as the partnership aims to cut data delays that slow AI training, inference and analytics.
Aid workers are cutting report times by up to 90% as a new AI system speeds crisis analysis and frees staff for field response.
Sovereign AI is becoming vital to mission readiness as Defence Australia builds a connected data ecosystem for faster decisions.
Many projects remain stuck at proof of concept as businesses wrestle with data governance, security and agent oversight before scaling AI.
Only seven per cent of organisations are data ready, raising doubts over whether enterprise AI can move from prototypes to production.
Enterprises in regulated sectors can now query sensitive data in place, as Cloudera says the new ServiceNow link cuts duplication and compliance risk.
Many firms are still unable to govern or access data fully, leaving AI projects exposed to quality, integration and cost setbacks.
The update extends support to 2032 and aims to help enterprises run AI workloads across cloud and on-premises systems without costly migrations.
Cloudera and Svitla team up to build trusted, clinician‑centric AI that unifies patient data while safeguarding privacy and consent.
Svitla and Cloudera team up to strengthen governed AI and hybrid data infrastructure for healthcare providers across Australia and New Zealand.
A broad industry push aims to give cyber defenders shared tools for spotting AI flaws, as regulators weigh whether open models raise new risks.
