AI Strategy stories
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.
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.
A GoTo survey finds many workers fear heavy AI use is eroding skills, while poor training and weak oversight are fuelling risks.
Businesses using AI agents may gain tighter controls as Zscaler adds new governance tools and deepens a decade-old partnership with Alstom.
Most executives still rely on artificial intelligence to draft emails and summarise documents, despite rising confidence and training uptake.
Enterprises that fail to embed AI into workflows risk being outpaced by rivals already turning pilots into real business gains.
Poor data governance and recovery gaps are undermining AI roll-outs, even as 97% of enterprises have deployed or are piloting agents.
Poor AI oversight can magnify workflow errors, expose firms to regulation and erode trust if CIOs do not redesign controls and roles.
Researchers risk wasting time on untrustworthy generic tools unless AI is built for rigorous, traceable science and human scrutiny.
Large firms face mounting execution risk as weak governance, legacy systems and poor change management threaten to derail AI spending.
The pact will widen use of AI in Singapore's public services, schools and labs, while adding new tests on safety, governance and inclusion.
Cautious support from tech leaders hinges on whether Canberra can turn new AI and digital funding into real productivity gains.
Safely embedding AI into public services now hinges on clearer accountability, as only 22% of Australian organisations use advanced governance models.