Explainable AI stories - Page 7

Integral Ad Science will roll out IAS Agent, an explainable AI assistant for ad measurement, to all platform users for free early next year.

Graylog names Jody Cire CFO to sharpen capital strategy and scale its AI-powered security analytics platform for global enterprise growth.

Martech leaders say CDPs will shift from passive data stores to AI-driven intelligence hubs, uniting personalisation, media and trust.

Red Hat snaps up UK AI safety specialist Chatterbox Labs to add model-agnostic security testing and guardrails across its hybrid cloud platform.

Sage CTO Aaron Harris says CFOs must demand transparent, auditable AI in finance as trust becomes a measurable requirement by 2026.

BlackLine snaps up WiseLayer to embed AI agents in its Verity suite, automating complex close tasks and reshaping finance team workloads.

Australian start-up Restoke.ai launches its AI 'restaurant manager' in the US, promising to boost margins and automate back-of-house work.

Celonis forecasts context-aware AI, autonomous operations and open platforms will overhaul global supply chains and competition by 2026.

Neo4j launches Fleet Manager, a unified control plane giving CIOs a single view to govern dispersed graph databases for GenAI workloads.

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

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

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

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.

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.

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.