Explainable AI stories - Page 1

One in three Australians are ready to let AI shop on their behalf, but fears over fraud, control and bad purchases still loom large.

AI supply chains will consolidate by 2026, with tight human oversight, integrated infrastructure and trust becoming key differentiators.

Europe's new anti-money laundering rules mandate AI integration, as legacy systems fail to meet rising financial crime challenges and regulatory standards.

By 2026, AI will transform skills across tech, finance, and healthcare, requiring new expertise in data quality, trust, and ethical governance, says OpenText.

Europe's new AML rules mandate AI integration as legacy systems fail to detect complex financial crimes, urging banks to upgrade compliance technology now.

Insurers must overhaul legacy systems and embrace AI-driven data to boost speed, transparency, and risk assessment in the evolving insurance landscape.

As AI matures, the focus shifts to consistent, cost-effective infrastructure and unified platforms, moving beyond hype to reliable, explainable AI systems at scale.

In 2026, transparency in AI is vital for subscription services to build trust, ensure fairness, and maintain customer loyalty amid rising ethical concerns.

Embedded AI is transforming UK finance research by integrating data and workflows, boosting efficiency and insight across City and Canary Wharf firms.

SEO is evolving in 2026 with Generative Engine Optimisation (GEO), merging to boost digital authority and shape brand discovery in an AI-driven world.

Elsevier launches LeapSpace, an AI-driven platform offering transparent analysis of 100m+ peer-reviewed articles to boost trusted scientific research.

Neo4j’s HopperGraph uses AI to analyse 150,000 Reddit posts, mapping fan theories to predict potential outcomes for Stranger Things’ final season.

Hospitality needs AI trained on its own data, not generic models, to boost accuracy, increase revenue, and deepen guest understanding in a £550 billion market.

CFA Institute has released a guide to help asset managers ethically integrate AI into investment decisions, enhancing transparency and operational efficiency.

In 2026, AI projects will face tough ROI demands and governance scrutiny, forcing firms to prioritise measurable results and responsible innovation.

UK start-up Alentr launches AI pricing platform to boost retailer margins by up to 5%, improving pricing decisions across digital and physical channels.

Enterprises will prioritise AI investments on cost savings, data governance, and measurable business outcomes over new tool acquisition in 2026.

Despite 99% of finance firms piloting AI, just 3% deploy it enterprise-wide, hindered by data quality issues and legacy system inconsistencies.

British data leaders are the most willing globally to trust AI decisions, with 85% ready to stake their jobs on AI-driven business choices.

Banks are doubling AI budgets to 17% of IT spend by 2028, but only 20% have robust real-time data governance, reveals Tech Mahindra's global survey.