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Category: Audience

Regina Tóth
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AIArticlesAudienceBusiness LeadersCTOsEmerging TechnologiesIndustriesManufacturingProject ManagersTechnology ExpertiseTechnology LeadersTopics

Why explainable AI matters in manufacturing

Key takeaways AI is transforming manufacturing AI is used for quality inspection, defect detection, predictive maintenance and process optimisation, but its increasing complexity makes human interpretation more crucial. XAI reveals why AI makes a prediction Explainable AI pinpoints image areas,...
September 23, 2026
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Vanessza Deme
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ArticlesAudienceBusiness LeadersDigital StrategyDigital TransformationDirectorsIndustriesManagersTelecommunications IndustryTopics

Why telecom infrastructure is becoming a strategic asset

Key takeaways Connectivity is becoming a strategic business capability As businesses rely more heavily on cloud, AI, real-time data and connected services, network performance increasingly affects operational resilience and the quality of digital services. Infrastructure is no longer simply a...
September 17, 2026
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Vanessza Deme
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AIArticlesAudienceBusiness LeadersCTOsDigital StrategyDigital TransformationEmerging TechnologiesFinance IndustryGeneral ManagersIndustriesTechnology ExpertiseTechnology LeadersTopics

The challenge in financial AI has shifted from adoption to control

Key takeaways AI adoption is no longer the main barrier AI is already embedded in finance workflows; the bigger challenge is ensuring it creates value safely and responsibly. Control is becoming the critical management priority As AI systems become more...
September 17, 2026
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Vanessza Deme
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ArticlesAudienceAutomotive IndustryBusiness LeadersDigital StrategyDigital TransformationIndustriesIndustry InsightsManagersProject ManagersSoftware-Driven CompetitionTechnology LeadersTopics

What shapes customer EV adoption in the EU

Key takeaways Affordability and adoption barriers Affordability remains a major adoption barrier. Upfront price often outweighs long-term savings in customer decisions. Charging infrastructure Charging access strongly shapes adoption. Reliable near-home charging is especially important for households without private parking. Overcoming...
September 7, 2026
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Vanessza Deme
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AIArticlesAudienceBusiness LeadersCTOsDirectorsEmerging TechnologiesFinance IndustryGeneral ManagersIndustriesProject ManagersTechnology LeadersTopics

AI in finance is no longer just a tool; it is becoming the operating model

Key takeaways Redesigning finance with AI AI in finance creates limited value when it is simply added to existing processes; greater impact comes from redesigning workflows and the broader operating model around AI. AI-driven finance advantage The competitive advantage in...
September 7, 2026
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Angelika Soós
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AIArticlesAudienceBusiness LeadersCTOsEmerging TechnologiesGeneral ManagersSoftware DevelopmentSoftware EngineeringTechnology LeadersTopics

When AI usage in software development goes too far

Key takeaways AI productivity risks AI can boost productivity, but too much dependence can create false confidence and weaken debugging, architectural thinking and design judgement. AI overreliance in practice Heavy reliance introduces practical risks, including unauthorised AI-agent activity and documented...
August 27, 2026
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Vanessza Deme
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AIArticlesAudienceBusiness LeadersCTOsDirectorsEmerging TechnologiesFinance IndustryIndustriesProcurement LeadersSoftware DevelopmentSoftware EngineeringSoftware EngineersTechnical ProfessionalsTechnology ExpertiseTechnology LeadersTopics

Top 5 technology trends reshaping the finance industry

Key takeaways Strategic finance capability AI is becoming a strategic finance capability, but measurable value depends on governance, data quality and security. Cloud finance transformation Cloud and data architectures are becoming the foundation for modern finance operations and cost optimisation....
August 21, 2026
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Regina Berinkei
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AIArticlesAudienceBusiness LeadersCTOsDigital StrategyDirectorsEmerging TechnologiesGeneral ManagersIT ConsultingTechnology ExpertiseTechnology LeadersTopics

Why AI transformation fails: The readiness gap explained

Key takeaways AI transformation challenges AI transformation failures primarily reflect organizational readiness gaps rather than technological limitations. Enterprise AI success Enterprise value depends on leadership, workforce capabilities, and redesigned processes working together. AI workflow optimization Organizations must redesign workflows and...
August 19, 2026
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