Why are companies investing millions in AI but seeing only incremental gains? Dr Andreas Böhm, Chief Executive of One Data, joins Scott Taylor to explain how poor data quality and legacy systems hold AI back.
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The Financial Stability Board has issued final guidance urging financial institutions to strengthen controls over autonomous AI systems, including risk-based requirements for human approval of higher-risk actions.
When employees can work from anywhere, how can organisations protect their data and prevent unauthoried access in the event of device loss or theft?
Why does cybersecurity training fail to deliver the intended results? Explore how organisations can identify gaps in training, assess its relevance to real-world risks and determine what needs to change to improve its effectiveness.
We report on Google's latest commitment to give European scientists access to advanced AI models and cloud computing resources.
We look at how outdated permissions, overlooked accounts and legacy authentication can carry security risks into modern IT environments.
The attackers targeted refrigeration controllers rather than data. Most of the affected units were legacy devices with no security updates.
We look at why accurate AI compliance decisions aren't always reliable and how enterprises can test whether AI actually follows the rules.
From advances in neuroscience and neutrino astronomy to new approaches in chemistry and literature, the 2026 Nobel Prizes are recognising work that is reshaping scientific understanding and creative expression.
The government is preparing plans to strengthen oversight of advanced AI, including potential requirements for companies to report incidents involving autonomous systems.
Hackers used the employee account credentials to access ASOS’s “information on third-party platforms”, including Snowflake’s Simon AI, and now claim to have access to user search history.
We look at how self-driving laboratories are changing industrial research and what it takes to turn autonomous experiments into trustworthy results.
Most automation programmes start with the same instruction: find the repetitive work. It sounds sensible. Then come the bots that break and the "quick wins" that never repay the build.
Establish and implement efficient third-party risk assessment practices when you take a modern approach, covering onboarding and initial evaluation, all the way through incident response.
AI in Third-Party Risk Management
Why are companies investing millions in AI but seeing only incremental gains? Dr Andreas Böhm, Chief Executive of One Data, joins Scott Taylor to explain how poor data quality and legacy systems hold AI back.
The restriction also covers third-party advertisers who link to TikTok, and it lands as Meta and TikTok trade blows over teen safety.
The talk of the show floor this year was the context layer and agentic AI in production.
We look at what AI data centre power agreements actually provide, from existing electricity supply to new generation, and what this means for infrastructure planning.
“The question becomes: Is our data accessible, trustworthy, governed and available at the speed our decisions require?”
We look at how enterprises can shape shared technology through participation, not just ownership.
Master Data Management (MDM) is the crucial prerequisite for reliable, scalable AI agent deployments.
We report on Microsoft's new Windows 11 security controls for autonomous AI agents and what they mean for enterprise IT teams.
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