Leeds United Customer Card Details Compromised In Cyber Attack
AI security isn’t about endless controls. Richard Stiennon speaks with Omar Khawaja and Danny Healy about understanding AI risks, strengthening governance and building trust as organisations scale.
Discover expert led podcasts, articles, and news from enterprise technology leaders at EM360Tech, your source for B2B tech intelligence
AI and advanced analytics are changing how lenders assess risk, make decisions and deliver more personalised financial services.
Discover how Meta is expanding facial recognition technology in the UK to combat celebrity impersonation scams, protect users from fraudulent adverts and streamline account recovery.
Leaders and data professionals employ external and internal BI reporting. This post discusses the business intelligence trends for 2025.
Hallucinations are a feature of LLMs, not a bug.
Three major trends are shaping the digital workplace this year: shadow AI, self-healing tech, and digital employee experience.
Digital identity requires dynamic strategies like Zero-Trust and adaptive authentication to manage access, enhance security, and counter evolving threats.
Amazon’s Alexa+ brings generative AI to its voice assistant, enabling more natural conversations, personalised responses and the ability to take action across connected devices and services.
Large Language Models (LLM's) are reshaping how we interact with technology and consume information online.
The Head of GSMA Foundry, and lead for Connected Industries at MWC25, Richard Cockle, discusses why the industry is at a turning point as telcos look to move beyond traditional connectivity, plus why GSMA’s Connected Communities can help the journey
Ahead of MWC25 Barcelona, GSMA Intelligence has launched research highlighting a dramatic shift in the global economy, with advanced connectivity and mobile technologies to contribute $11 trillion to global GDP by 2030 – which represents 8.4 per cent of the total.
An executive buyer's guide
Great digital experiences demand more comprehensive monitoring
Massive investments in AI require robust monitoring of performance, risk, and results
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