Poor data visibility slows enterprise AI adoption
Experts say AI initiatives depend on trusted, well-governed data, warning that poor data quality can reduce accuracy, delay projects and increase security risks.
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Experts say AI initiatives depend on trusted, well-governed data, warning that poor data quality can reduce accuracy, delay projects and increase security risks.
Read MoreAs AI agents gain the ability to make decisions and complete transactions autonomously, organizations are adapting their operating models and governance to support a new form of customer interaction.
Read MoreAs organizations reassess customer service contracts, billing models are increasingly being aligned with business performance rather than interaction volume alone.
Read MoreAccording to Accenture, 45% of consumers expect to delegate at least half of their purchasing decisions to AI agents within the next 18 to 24 months, reshaping how brands compete for customers.
Read MoreSpecialists recommend applying automation only to stable, well-documented processes, warning that automating workflows too early can amplify errors and increase operational complexity.
Read MoreAn analysis of cyber threats surrounding the 2026 FIFA World Cup identifies disruptive intrusions, large-scale fraud, DDoS attacks and politically motivated hack-and-leak operations as the most likely risks during the tournament.
Read MoreSchneider Electric said AI-ready infrastructure is driving higher requirements for power, cooling and computing capacity, with rack densities expected to reach as much as one megawatt per rack in the coming years.
Read MoreA Veeam study found that 88% of organizations already use or test AI agents, yet just 7% are fully prepared to govern, monitor and operate these systems securely.
Read MoreAccording to Veeam’s 2026 Data Trust and Resilience Report, more than 40% of organizations that experienced a cybersecurity incident reported operational disruptions or financial losses.
Read MoreIndustry specialists say smart buildings integrate energy, climate control, lighting and security systems to optimize resource use and support real-time decision-making.
Read MoreThe platform will provide AI-powered tools for task organization, decision-making and social engagement tailored to neurodivergent university students.
Read MoreMany organizations are deploying AI without changing how teams work, make decisions or collaborate, limiting the technology’s business impact.
Read MoreThe companies said the collaboration will combine operational data, AI systems and digital twins to support real-time management of physical assets.
Read MoreCheck Point Research said the campaigns used AI-assisted malware development techniques, including unusual modular structures and excessive error handling.
Read MoreTwo-thirds of investors surveyed by Janus Henderson believe an AI-driven market correction or financial bubble could emerge in the short term.
Read MoreBuk said organizations are increasingly using artificial intelligence to optimize recruitment, internal communication and workplace productivity. The company also warned that AI governance and employee participation will become critical challenges as adoption expands across HR operations.
Read MoreCompanies and operators are facing growing pressure to build more resilient, automated and sustainable infrastructure for an increasingly connected economy. GSMA estimates that mobile data traffic in Latin America could nearly quadruple by 2030.
Read MoreExperts say doomscrolling often begins as an attempt to stay informed but can evolve into a prolonged cycle of negative content consumption. The behavior gained visibility during the COVID-19 pandemic and continues to affect sleep, social interaction and emotional well-being.
Read MoreYUNO estimates that falsely declined transactions generate more than US$440 billion annually in unrealized ecommerce revenue. The report found that many companies still rely on legacy payment infrastructure built decades ago despite the rapid growth of digital commerce.
Read MoreThe campaign redirected iPhone users toward manipulated crypto wallet apps capable of stealing seed phrases and digital assets. Kaspersky identified 26 fraudulent applications imitating popular wallets such as MetaMask, Ledger and Trust Wallet.
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