Cybersecurity has become a critical priority as cyberattacks rise, occurring every 39 seconds in 2023, according to Cybersecurity Ventures. In Costa Rica, Recope suffered an attack in November, compromising systems and facing a $5 million ransom. Threats like FragAttacks, malware, social engineering, and DDoS attacks highlight the urgent need for robust measures to protect data and infrastructure.
In 2026, the most competitive companies will not be those that adopt the most technology, but those that use it with purpose, measurable returns, and risk control. There are no universal formulas: each organization must choose technology based on its reality, data, and priorities. Trends such as practical AI, automation, strategic data use, cybersecurity, and scalable solutions will define the year. The focus will be on a few high-impact use cases, well-prepared data, and clear governance.
Generative artificial intelligence has rapidly evolved from experimentation into a strategic priority. While creating proofs of concept is relatively easy, moving them into production and scaling solutions in a secure, well-governed, and business-integrated way remains a major challenge. This challenge is even greater with agentic AI, where multiple agents collaborate and require a clear strategy to avoid failures when scaling. Success depends on a lifecycle that includes ideation, value modeling, a strong data strategy, and a focus on minimal usable solutions that evolve with security and responsibility.
Artificial Intelligence has become a powerful tool that simplifies tasks and enhances cybersecurity, but it can also create dependency and weaken human critical thinking. While it protects, it is also used by attackers, making it a potential threat. The challenge is not to compete with AI, but to use it wisely to strengthen—rather than replace—our intelligence.
The success of an IT project does not depend solely on technology, but on the balance between leadership, communication, and management. An effective leader inspires, listens, and motivates the team, while clear communication connects all stakeholders and prevents misunderstandings. Proper management allows for planning, anticipating risks, and maintaining alignment with objectives. Moreover, effectively handling changes strengthens the client relationship and ensures quality. Together, this triad drives projects that truly create value and deliver sustainable results.
The document examines progress and challenges in AI ethics, based on the Third Global Forum on the Ethics of AI held in Bangkok in 2025. It highlights UNESCO’s 2021 Recommendation and tools such as the Readiness Assessment Methodology (RAM), implemented in over 70 countries. It also emphasizes the creation of global networks for oversight and citizen participation. Arkkosoft reaffirms its commitment to transparency, inclusiveness, and privacy protection, promoting an AI that complements human capabilities within a framework of justice and equity.
Artificial intelligence is driving efficiency and sustainability in the sugar industry by optimizing crops and energy processes. A study in Latin American Developments in Energy Engineering highlights its impact across the entire production chain. From plant monitoring to sugarcane agricultural management, AI is transforming the sector.
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