Ideas que transforman su operación.
Perspectivas en inteligencia artificial, analítica, automatización y seguridad para líderes que ejecutan.
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 ...
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 ...
Generative AI: What's Coming Next
For years, artificial intelligence was, for most companies, a background promise: something that sorted emails, recommended products ...
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 ...
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 ...
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, ...
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 ...
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 ...
MLOps: Industrializing AI
Your data science team built a promising model: it predicted customer churn with notable accuracy in the lab. Six months later, that ...
2021 IT Trends: The CIO Agenda
The close of 2020 leaves every board with an uncomfortable certainty: technology has stopped being a support function and become the ...
The Contact Center Goes Digital
A decade ago, serving a customer meant waiting for the phone to ring. Today that same customer messages you on WhatsApp at eleven at ...
Automation: Doing More With Less
When the pressure for efficiency mounts, the first question I hear in leadership committees isn't "how do we grow?" but "how do we do ...
Conversational AI: The First Useful Assistants
For years, speaking to a machine and expecting a sensible answer was the stuff of science fiction. In 2019 it stopped being so. ...
Hyperautomation: When RPA and AI Come Together
Over the past few years, many organizations in the region have discovered the power of software robots: small programs able to copy ...
Predictive Analytics: Anticipate Instead of React
I have spent months in conversation with business leaders across LATAM who already have dashboards, reports and metrics to spare, and ...
From Model to Product: Machine Learning in Production
A few months ago, alongside a data team, I reviewed a customer churn prediction model that had been "finished" for nearly a year. It ...
2018 IT Trends: The CIO's Agenda
Every December I repeat the same exercise with my team: we close out the year's projects, look at what we promised in January and ask ...
From Report to Insight: Self-Service Analytics
A few months ago, in a meeting with the leadership team of a distribution company, I witnessed a scene that repeats itself across ...
Machine Learning for Business: From the Lab to the Business
Every time I visit a client in this first half of 2017, the same question comes up, almost always with a hint of skepticism: "Is ...
Big Data in Practice: From Hadoop to Spark
The first time I saw a Hadoop cluster processing a full day of a retailer's transactions, it became clear to me that the problem was ...
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