AI Strategy stories
Many Australian firms are failing to turn AI pilots into scalable gains because scattered tools are outpacing governance and business context.
Poor communication on AI rules is fuelling shadow use in Australian firms, as nearly half of executives still see it as an IT issue.
Businesses face pressure to speed up AI rollouts as OpenAI chief Sam Altman says enterprise adoption remains very early.
Unmanaged AI use is exposing Australian firms to data leakage, compliance breaches and other risks as adoption outpaces oversight.
Most Australian SMEs are still using AI for emails and drafting, leaving manual workflows intact despite growing board pressure for change.
Many finance chiefs are still treating AI as isolated pilots, leaving stronger returns for firms that build it into one operating system.
Enterprises could see faster, more accountable software delivery as human oversight stays in place for AI agents handling coding and support.
Only 1% of leaders think their AI governance is mature, as businesses rush to deploy systems without enough controls in place.
Unified data governance is set to help Ericsson push AI beyond pilots, with more than 85,000 users already on SAP's Joule assistant.
Organisations will get a single team to deploy AI across core functions, as EY and Microsoft commit more than USD $1 billion over five years.
The deal targets banks, utilities and agencies seeking to turn AI pilots into secure workplace tools across Australia and New Zealand.
Businesses can now run larger AI models locally on existing Windows and Linux PCs, reducing cloud costs and keeping sensitive data on-site.
Poor data quality could cost supply chains millions a year, and AI will only magnify errors unless records are cleaned first.
Most advertisers are still wary of handing creative work to AI, with trust and brand safety slowing adoption despite centralised plans.
The bank says underwriters can now complete work in minutes rather than 15 hours, as it rolls out agentic AI across home lending.
Despite widespread adoption, most Indian enterprises still struggle to turn AI pilots into measurable gains because of data, governance and skills gaps.
Poor AI oversight can magnify workflow errors, expose firms to regulation and erode trust if CIOs do not redesign controls and roles.
Companies are being told to overhaul governance and readiness before scaling AI, as a new framework seeks better returns from spending.
The platform is aimed at regulated industries and sensitive data users, with on-premise and air-gapped deployment to keep control in-house.
Researchers risk wasting time on untrustworthy generic tools unless AI is built for rigorous, traceable science and human scrutiny.