Explainable AI stories - Page 7

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.

Living Security has launched an AI platform to predict and reduce workforce threats, blending human and AI agent risk management for stronger security outcomes.

RDC.AI won Best AI-Powered Platform - Vendor at the Global AI Innovation Awards 2025 for transforming banking with predictive and explainable AI.

FICO has secured ten new patents to enhance Responsible AI, boosting transparency and fraud prevention across numerous sectors globally.

Bow River Solutions and Data Squared have partnered to deliver auditable AI analytics for regulated industries, enhancing transparency and trust in North America.

Denodo Platform 9.3 launches with DeepQuery and real-time features to enhance AI data tasks, boosting access to live data and complex analysis securely.

Empromptu launches a no-code AI platform enabling businesses to build production-ready, reliable AI apps with up to 98% accuracy and seamless integration.

Ericsson integrates agentic AI into its NetCloud platform, enhancing enterprise 5G network management and automating wireless network operations for improved reliability.

Exabeam has enhanced its New-Scale platform with AI agent threat detection, addressing rising insider risks as autonomous AI agents increasingly handle sensitive data.

Data Squared partners with Vertosoft to provide explainable AI tools to government agencies, enhancing transparency and trust in public sector AI use.

Compliance leaders must prove AI outputs are reliable, using validation and human checks to avoid costly regulatory errors in complex legal tasks.