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Perspectivas en inteligencia artificial, analítica, automatización y seguridad para líderes que ejecutan.
Mexico and Artificial Intelligence: An Ecosystem Growing in Earnest
If I had to pick a single Latin American market to watch closely over the next two or three years in artificial intelligence, I would ...
What a client walks away with after an AI readiness assessment | SUMāTO
An AI readiness assessment delivers four concrete things: a maturity index backed by evidence, a measured cost baseline for the ...
Anatomy of an enterprise AI assistant: the 7 layers that separate a demo from production
When a company says "we want to implement artificial intelligence", it is almost always picturing the top layer: an assistant that ...
How to Implement AI in Your Company: A Process That Works in Practice
There is one question I hear often from executives who have already moved past the "should we use AI?" stage and reached the "how do ...
Artificial Intelligence vs. Generative AI: A Distinction That Matters in Business
There is a confusion that repeats in nearly every conversation about technology in the region's companies: using "artificial ...
BPM vs. RPA: What's the Difference and When to Use Each One
In nearly every organization beginning its automation journey, the same conversation surfaces at some point: do we need BPM or RPA? ...
The state of enterprise AI at mid-2026
At the midpoint of 2026, the conversation about enterprise artificial intelligence changed in tone. It is no longer about proving that ...
Cloud Computing: What It Is and Why It's No Longer Optional for Companies
Ten years ago, the question at many Latin American companies was whether moving to the cloud made sense. Today that question no longer ...
FinOps for agentic AI: controlling the cost of agents
In 2024 we learned to watch the cloud bill. In 2026 the problem changed in nature: we no longer control servers that consume ...
The Real Business Impact of Cloud: Beyond Cutting IT Costs
When a company decides to move to the cloud, the conversation usually starts in the technology department. But the real impact — the ...
Artificial Intelligence in Latin America: Where We Stand and Where We're Headed
There is a conversation that repeats often in technology forums, in executive meetings, and in the hallways of any mid-sized company ...
Cloud Security: 90% of Incidents Are Preventable
Cloud security has a perception problem working against it. Some companies don't migrate to the cloud because they believe it's less ...
AI Compliance in 2026: From Policy to Practice
Your company already has an artificial intelligence policy. It is signed, posted on the intranet, and you mentioned it at the last ...
Multimodal AI in business: voice, image, and video that understand
For years, enterprise artificial intelligence lived boxed into a single modality: text in, text out. In 2026 that frontier dissolved. ...
Enterprise AI Risk and Security: What No One Wants to Review in the Boardroom
There is a conversation that is still not happening with enough seriousness in most companies across the region: what exactly happens ...
Autonomous agents in production: from promise to operation
I spent much of 2025 watching AI agent demos that left everyone in the room speechless. And I spent the rest of it watching how many ...
The AI Technology Gap: Why Adoption in Latin America Is Moving Slower Than It Should
There is an interesting paradox in the artificial intelligence landscape across Latin America. The region has interest, it has ...
IT trends 2026: the board's agenda for the year ahead
December arrives with the pressure of closing out the year and, almost in the same breath, of committing the investment agenda for ...
The world's best AI frameworks were designed for the Fortune 500. What about everyone else?
The AI maturity frameworks from McKinsey, BCG, Accenture, Gartner and the cloud vendors are sound and they work — but they were ...
The autonomous contact center: when AI resolves and executes
For years, the promise of artificial intelligence in customer service fell short: chatbots that answered questions but resolved ...
AI-Assisted Modernization: Refactoring with a Copilot
There is a system in your company that no one wants to touch. It works, it sustains critical operations and yet every change feels ...
Implementing Cognitive Agents: Critical Success Factors and Methodology
I have seen enterprise AI projects fail for reasons that have nothing to do with technology. I have seen organizations with the right ...
The Convergence of Cognitive AI and Contact Center That Redefines Customer Experience
The contact center industry in Latin America is at an inflection point. For two decades, the model was relatively stable: hire agents, ...
Intelligent Document Management with AI: From Document Chaos to Structured Knowledge
Nearly every modern organization faces a paradox: never has so much information been available, and never has it been so hard to find ...
Technological Sovereignty and Enterprise AI: Why It Matters That Your Cognitive Agent Is Latin American-Built
When Latin American executives evaluate enterprise AI platforms, "technological sovereignty" rarely appears near the top of the ...
Architecture of an Autonomous Cognitive Agent: What's Behind It, for the CTO Who Needs to Understand the Technology
When a CTO or solutions architect hears about "autonomous cognitive agents," the immediate question is not philosophical—it is ...
Cognitive Agents in the Oil & Gas Sector: Cognitive Automation for High-Risk Critical Operations
The oil and gas sector has a characteristic that sets it apart from virtually any other industry: the cost of an error is not measured ...
Agentic Automation: Processes That Run Themselves
For years, to automate meant programming a robot to repeat, step by step, exactly what a human told it: open this screen, copy that ...
The Real ROI of Cognitive Agents: How to Build the Business Case for Your Executive Committee
There's a moment in every enterprise AI project that determines whether it moves forward or dies: the presentation to the executive ...
10 Cognitive Agent Use Cases for the Contact Center: the cognitive AI that transforms every operation
Latin American contact centers face unprecedented pressure today: doing more with less, meeting stricter regulations, delivering ...
Cognitive Agents in AML/KYC Compliance: How Cognitive AI Eliminates Regulatory Risk at Mexican Financial Institutions
For a Chief Compliance Officer at an Electronic Payment Funds Institution (IFPE) in Mexico, January has a particular flavor: it is the ...
From Chatbots to Autonomous Agents: The Evolution Your Company Can't Ignore
Between 2018 and 2022, virtually every company with more than 500 employees in Latin America deployed some variant of a chatbot. The ...
Data for AI: the asset that decides who wins
Over the past year we've watched entire teams obsess over choosing the "right" artificial intelligence model: this one reasons better, ...
The Autonomous Cognitive Agent Redefining Enterprise AI in Latin America
Over the past decade, the global artificial intelligence market promised a revolution. Chatbots arrived, promised to transform ...
Responsible AI: ethics, bias, and traceability
Your organization is no longer asking whether it should use artificial intelligence, but how to do so without losing the hardest thing ...
Agentic AI: the AI That Acts for You
For weeks now I've been watching the conversation shift with our clients in Mexico and Bogotá. Until recently, when we talked about ...
IT Trends 2025: The Year of the Agents
December always invites us to look back, but this year the most useful exercise is to look ahead. After a 2024 marked by ...
AI Customer Service: From Promise to Real Results
For years, artificial intelligence in customer service was sold as a promise: chatbots that would "understand everything" and resolve ...
Mature FinOps: Optimizing the Cost of Cloud and AI
For years, the conversation about technology costs in companies across the region revolved around a single protagonist: the cloud. ...
GPT-4o and real-time multimodal AI
On May 13, 2024, OpenAI introduced GPT-4o, a model that understands and generates text, audio, and image within a single line of ...
LLMOps: running generative AI in production
The pilot worked. In a controlled demo, the model answered well, the team applauded, and someone uttered the fateful phrase: "this is ...
SLMs: small, specialized language models
Over the past year, the conversation about artificial intelligence has revolved almost entirely around a single number: parameter ...
AI Agents: From Copilot to Autonomous Agent
Over the past year, copilots have become familiar: a window that suggests code, drafts an email, or summarizes a document while you ...
AI Governance and Compliance: The New Standard
A few months ago, artificial intelligence governance was a conversation reserved for technical teams. Today, as I open my first ...
2024 IT Trends: From Pilots to Production
2023 was the year generative AI moved from collective astonishment to the mandatory conversation in every executive committee. For ...
Cognitive Contact Center: Customer Service Changes Forever
For years, calling a contact center meant the same thing: a menu of options that never covered our case, an endless wait, and the ...
Augmented analytics with generative AI
For years, advanced analytics lived behind an invisible barrier: to ask your data a question, someone had to know how to write a ...
Real Hyperautomation: When Generative AI Enters the Process
For a decade, automation lived confined to the predictable. If a process had clear rules, fixed fields, and a stable format, a robot ...
Modernizing the Core for the AI Era
The conversation about artificial intelligence dominated every boardroom meeting over the past year. Yet the question almost no one ...
AI Governance: Adopting AI With Control
Generative AI went from a curiosity to a business imperative in a matter of months. Entire teams draft emails, generate code, and ...
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