Adriana Ovando, Author at Linko

Esp Eng

What Should a CEO Evaluate Before Implementing Artificial Intelligence?

Introduction Artificial intelligence implementation in companies is no longer optional, it’s a strategic imperative. However, not every AI initiative delivers real value. According to McKinsey & Company, nearly 70% of digital transformation initiatives (including AI) fail to meet their objectives. The issue is rarely the technology itself, but rather poor strategic alignment from leadership. For…

How to Build a Cybersecurity Culture Across the Organization

The problem isn’t technology, it’s the illusion of control Cybersecurity culture in organizations is not a technology problem. It is a behavioral one. For years, companies have invested heavily in cybersecurity tools. However, incidents continue to rise. This creates a clear contradiction. According to Verizon’s Data Breach Investigations Report 2024, 68% of breaches involve the…

Why a Solid Data Architecture Determines the Success of Your AI Strategy

Artificial intelligence is no longer a future bet—it is a strategic priority. However, many organizations are discovering that investing in advanced models does not guarantee results. The real differentiator is not the algorithm, but the data architecture that supports it. Without a structured, governed, and scalable foundation, any AI initiative becomes an expensive experiment. By…

Why Tech Companies Should Rethink Direct Sales in Mexico

Mexico remains a vibrant technology market with growing digital adoption and substantialopportunity. Major players like Salesforce, Google, and Meta maintain strong local operations forgood reason. However, recent regulatory enforcement actions have introduced new complianceconsiderations that warrant a fresh look at go-to-market strategies.This past June 2025, FinCEN (Financial Crimes Enforcement Network, part of the U.S. TreasuryDepartment)…

Security in Cloud Analytics and Storage Is No Longer Optional

Cloud security 2026 is no longer a future concern; it is a present business imperative. Digital transformation is no longer a project; it is the natural operating environment for modern organizations. The cloud has become the backbone of data storage, processing, and analytics. But this massive migration has delivered more than efficiency, scalability, and cost…

AI Cybersecurity: Risks, Attacks, and Data Protection

AI cybersecurity has become a critical issue for organizations already using artificial intelligence models in core business processes. While these technologies drive efficiency and scalability, they also introduce new risks related to data protection, model integrity, and the malicious use of AI. Unlike traditional software, AI systems learn, adapt, and rely on massive volumes of…

How to assess whether your company is ready for a deep digital transformation

According to McKinsey & Company, nearly 70% of digital transformation initiatives fail or fall short of delivering their expected impact, not because of a lack of technology, but due to structural weaknesses in strategy, culture, and organizational capabilities. This statistic serves as an early warning for any leader considering investments in new platforms, digital solutions,…

Intelligent Agents: How to Measure the Real ROI of Enterprise AI in 2026

Recent enterprise AI adoption studies show that 74% of organizations using generative AI and intelligent agents already report a positive ROI, while 71% see direct revenue impact linked to these technologies. These figures highlight a critical shift: the conversation is no longer about whether AI delivers value, but how companies measure that value in a…

Modern Data Architectures: The Starting Point for Truly Intelligent AI

Modern data architectures are essential for artificial intelligence today. They define how data is collected, processed and used by AI systems. Organizations now manage massive amounts of data.This data comes from cloud platforms, legacy systems and digital channels. Many companies still rely on outdated data environments.These systems limit real-time analytics and automated decisions.For CISOs, CIOs…

AI Agents: The New Digital Guardians of Corporate Cybersecurity in 2026

AI agents in cybersecurity will shape the way organizations protect their digital operations in 2026. Companies now rely on large volumes of data, complex architectures and nonstop digital transactions. Regulations are stricter, users expect smooth experiences and threats grow faster than human teams can manage. Because of this, CISOs, CIOs and leaders across IT, security,…