Ideas que transforman su operación.
Perspectivas en inteligencia artificial, analítica, automatización y seguridad para líderes que ejecutan.
Analytics and personal data: what changes when the data is about people
An analytics programme working with data about customers, employees or patients is processing personal data, and that fact changes ...
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. ...
The automation business case: what the ROI calculation leaves out
An automation business case is usually built from an hourly rate times hours saved, and that calculation is wrong in two directions at ...
Cybersecurity with AI: Defense and Attack
In 2024, artificial intelligence stopped being a theoretical debate and became an everyday tool on both sides of the digital trench. ...
Analytics in the operation: figures that reach the person deciding
Most analytics work stops one step short. The figure is correct, the dashboard is built, and the person who could act on it never sees ...
Operational Resilience: Lessons from the July Outage
In the early hours of July 19, 2024, millions of screens across airports, hospitals, banks and data centers turned blue. A single ...
The Global Outage from an Update: Lessons in Resilience
On July 19, 2024, millions of screens around the world turned blue at almost the same moment. Airports halted boarding, hospitals ...
Automating inventory: the supply chain data nobody trusts
Inventory is the part of the supply chain where the system and the warehouse disagree, and every downstream calculation inherits that ...
Data sovereignty: where your data lives (and why it matters)
Every time your team types a question into an AI assistant, attaches a contract to an automatic summarizer, or connects a model to ...
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 ...
The semantic model: one definition the whole company can use
A semantic model is the place where "active customer" and "monthly revenue" are defined once, in a form the reporting tools read ...
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 ...
Process orchestration: coordinating automations that already work
Orchestration is what you need when the individual automations already work and the process still does not. It coordinates the order, ...
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 ...
Testing automations: quality control for processes that run alone
An automation that runs unattended has no user to notice when it goes wrong. That single property is why testing it is a different ...
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 ...
Customer service automation: deflection is not resolution
The metric most customer service automations are judged on — the share of contacts handled without an agent — measures containment, ...
MOVEit: When a Zero-Day Exposes Thousands of Organizations
In the final weeks of May and throughout June 2023, thousands of organizations around the world discovered that a tool they used every ...
Data residency: where the data lives once it moves to the cloud
Data residency is where information is physically stored. Neither Colombia nor Mexico forbids it leaving the country, but both ...
AI Video Analytics on Your Existing CCTV
Most organizations in Latin America already have hundreds of cameras installed, but the uncomfortable truth is that almost no one is ...
Document automation: turning a PDF into data you can rely on
Extracting data from a document is not one problem. It is three — finding the document, reading the fields, and deciding whether to ...
RAG and Vector Databases: AI Grounded in Your Knowledge
You try one of these new language models, it leaves you breathless with the fluency of its answers, and then you ask it about your ...
GPT-4 and Multimodal LLMs: What Changes for Enterprises
On March 14, 2023, with the launch of GPT-4, many leadership conversations changed tone: we stopped asking whether generative ...
Copilots: AI That Assists Every Team
Over the past few months, one word has crept into every conversation about enterprise technology: copilot. The metaphor is deliberate. ...
Prompt Engineering: Speaking Well to AI
For weeks I have been seeing the same thing in meetings with clients and inside SUMāTO: two people ask the same artificial ...
2023 IT Trends: The Year of Generative AI
December arrives with a new question in every board meeting: what do we do about generative artificial intelligence? In a matter of ...
ChatGPT and Generative AI Reach Everyone
In recent weeks, one name has slipped into hallway conversations, WhatsApp groups, and executive committee meetings: ChatGPT. Launched ...
Technical debt in RPA: what an automation estate costs to keep
An RPA estate is not a set of finished projects. It is a set of programs that depend on screens and systems somebody else controls, ...
Metrics that mislead: averages, denominators and vanity numbers
A metric does not have to be wrong to mislead. Most of the figures that produce bad decisions are calculated correctly and read badly ...
Generative AI: What's Coming Next
For years, artificial intelligence was, for most companies, a background promise: something that sorted emails, recommended products ...
Modernize the Core Without Stopping Operations
There is a conversation that recurs in almost every board across the region: the system that runs operations has worked for years, no ...
Conversational AI That Executes, Not Just Answers
For years, enterprise chatbots promised much and delivered little: rigid decision trees that replied "I didn't understand your ...
Change management in automation: why adoption fails without it
An automation that runs correctly and that nobody uses has failed. In Colombia and Mexico this is a more common outcome than a ...
Data Governance: The Foundation AI Needs
In recent months, many boards have discovered the same uncomfortable truth: no matter how sophisticated the AI model an organization ...
Operational Resilience: DR as a Service (DRaaS)
A decade ago, recovering from an IT disaster meant maintaining a second data center full of standby servers, powered on twenty-four ...
Intelligent Process Automation
For years we talked about automation as if it were synonymous with software robots copying data from one screen to another. It works, ...
Software Supply Chain Cybersecurity
When a vulnerability in a logging library almost no one had heard of put half the internet at risk late last year, many executives ...
Lakehouse: Unifying the Data Lake and Warehouse
For a decade, we data teams have lived with an architecture split in two: on one side the data lake, cheap and flexible, where ...
From pilot to production: why automations stall after the demo
The pilot worked, everyone saw it run, and eight months later it is still the only automation in production. This is the most common ...
Observability and AIOps: Operating with Intelligence
At 3 a.m., the on-call engineer's phone buzzes for the tenth time in an hour. Five of those alerts describe the same incident from ...
Platform Engineering: The Next Step for DevOps
I begin this January of 2022 with a conviction I have been developing for months in conversations with technology leaders in Mexico ...
Log4Shell: The Vulnerability That Shook the Software World
On December 9, 2021, a single line of malicious text was enough to take control of servers across the planet. The cause: a flaw in ...
Monitoring and NOC: Availability as an Advantage
It is 3:14 in the morning and a disk fills up on the server that runs your ordering platform. No one on your team is awake, but the ...
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