Insights from CEOs, scientists, and consultants, sharing expert knowledge on what lies ahead.
Browser warnings, unexpected design changes and unfamiliar web addresses can undermine brand trust and drive customers to competing retailers, even when the problems stem from technical failures.
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Business analytics, AI and data integration can help governments organize information, update indicators and improve public sector decision-making.
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As AI adoption accelerates, organizations face growing pressure to know where their data resides, how it is governed, and whether their infrastructure can meet new demands.
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Latin American governments continue expanding smart city investments despite growing concerns over fragmentation and limited urban integration.
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Hitachi Vantara warned that weak data governance and limited auditability remain major barriers to enterprise agentic AI deployment.
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The company introduced a dedicated skills repository designed to help AI agents execute tasks such as patch management, log analysis and code troubleshooting.
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Companies are moving beyond AI adoption and focusing on how to scale intelligent systems securely and sustainably.
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The FIFA World Cup is accelerating how sports media platforms use gaming mechanics, fan communities and interactive experiences to extend audience engagement beyond live events.
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AI Data Centers are consuming between 60 and more than 150 kilowatts per rack, pushing companies to adopt real-time energy monitoring and workload management systems.
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Deloitte and PwC studies reveal critical gaps in operational continuity and a heavy reliance on manual processes.
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The labor cost is losing stability as a planning variable and is gaining weight in the financial and operational strategy of organizations.
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The sector faces growing pressure for efficiency, investment and technology in a regional environment marked by political and economic change.
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Companies are advancing in trials with autonomous systems, yet most are still unable to effectively integrate them into their core processes.
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The difference lies in how artificial intelligence is executed, between cloud-based processing and capabilities integrated directly into the device itself.
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AI opens new possibilities in game design, but it also raises challenges around creativity, authenticity, and the player experience.
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As money moves across borders in seconds, new challenges emerge for security, regulation, and financial inclusion worldwide.
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AI, automation, and governance will shape critical decisions, determining which companies lead—or fall behind—by 2026.
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As AI adoption accelerates, businesses must optimize how data is stored and processed to unlock faster insights and real-time decisions.
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After widespread adoption, companies are looking to move from enthusiasm to measurable outcomes, with greater control, efficiency, and governance of their AI systems.
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Failures still occur, but they are increasingly rare: better models, RAG, and human oversight are redefining the balance between risk and productivity.
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