Ideas around AI, data, and digital transformation
256 posts
Test Data Management (TDM) is a strategic process focused on managing and provisioning data, ensuring environments that accurately simulate production environments. This makes it possible to achieve more precise results that are aligned with business operations.
Pair programming, a traditional software development practice, is based on a simple idea: two people work on the same code to detect errors, share knowledge, and find better solutions.
The Microsoft Azure-audited accreditation certifies our technical capabilities to execute complex migrations of critical architectures, accelerate the adoption of DevOps practices, and transform legacy systems into cloud-native environments.
Generative artificial intelligence has evolved from a simple tool into a new interaction paradigm. Discover how digital product design is evolving toward living systems, adaptive interfaces, and a new strategic role for the Product Designer.
In recent times, organizations have been exploring how they can incorporate Artificial Intelligence (AI) agents to automate processes and decision-making within their operations.
Today, artificial intelligence is fully integrated into IDEs (Integrated Development Environments), coding assistants, workflows, and the everyday way developers solve problems.
There is a view of generative AI that considers it the ultimate disruptor of our era. It marks a before and after at a societal level and represents a turning point for organizations: companies feel compelled to implement AI solutions at any cost to avoid losing competitiveness.
The software development industry is moving beyond the “vibe coding” phase—where we experimented with isolated prompts to see what would happen—and has entered the era of agent-based software engineering.
Discover how football evolved from human improvisation to a data-, AI-, and digital experience–driven ecosystem.
In today’s financial sector, modernization is no longer optional. Organizations must accelerate innovation and reduce time-to-market while meeting stringent regulatory requirements and budget constraints, making modernization both essential and complex.
More than three years after the emergence of generative AI tools, their maturity is now such that they have moved beyond being experimental solutions to becoming a fundamental element that strongly influences the relationship between companies and consumers.
Capable of solving in seconds calculations that would take current technology years, the leap from bits to qubits promises to redefine artificial intelligence and transform entire industries.
In today’s business landscape, artificial intelligence has moved beyond being a promise to become a critical driver of competitiveness.
Today, a company’s ability to innovate is no longer measured solely by the originality of an idea, but also by the speed and accuracy with which that idea can be validated.
Retrieval-augmented generation is a great default — until your task needs to plan, branch, or act. Here's how we decide when to graduate a workload from RAG to a tool-using agent.
There was a time when adopting technology in an organization was primarily about improving efficiency. Today, artificial intelligence presents a much bigger challenge: rethinking how work gets done, how decisions are made, and how organizations create value.
A framework and operating model to reduce costs, maximize invested capital, and protect financial health at a critical point.
Banking is entering a new evolutionary phase driven by Artificial Intelligence agents capable not only of assisting, but also of executing decisions and transactions autonomously.
Data management should no longer be a burden for organizations, but rather become a strategic asset—however, this requires the right data platform.
As artificial intelligence transforms software development and redefines technology standards, Baufest is pleased to announce the appointment of Ángel Limas as its new Quality Engineering Practice Head.
The Microsoft AI Tour Mexico took place on February 12 at Centro Banamex in Mexico City as part of Microsoft’s global tour across 33 cities worldwide.
Organizations must stop “firefighting” to start operating resilient platforms with total control.
A comprehensive strategic approach to achieving efficient, agile, and flexible operations that cut costs, minimize human error, and scale businesses.
How to quantify the success of AI and AI agent integration in the software development lifecycle.
The rebranding translated a complex technology platform into a clear, scalable brand focused on adoption within the AgTech ecosystem. The work integrated strategy, branding, and communication.
Digital transformation and the use of AI require a corporate adoption plan with strategies that put people at the center of the process and ensure that changes are effectively implemented and that the investment is fully leveraged.
The keys to building optimized strategies in today’s landscape and avoiding the risk of becoming invisible to your audiences.
Artificial intelligence has changed the rules and forces a fundamental rethink of how value is created in the IT industry.
We are just steps away from 2026, and we are starting to gain a clear picture of what the coming year will bring in terms of technology: the industry is leaving behind the experimentation phase and entering an era of pragmatic maturity.
In almost every organization, artificial intelligence is already inside. Its widespread accessibility has enabled decentralized innovation, faster prototyping, and greater team autonomy.
Today, a single developer can accomplish in days what once required weeks and entire teams.
Artificial intelligence, the rise of automated attacks, and Shadow IT are redefining enterprise security priorities.
Mexico suffered 40.6 billion cyberattack attempts in the first half of 2025, making it the second most targeted country in Latin America.
Digital banking in Mexico is going through one of its most challenging moments. In the last year, more than 835,000 attacks targeting mobile devices were recorded, placing the country as the second most vulnerable in Latin America.
Digitalization—powered by artificial intelligence and machine learning—makes it possible to anticipate users’ financial needs, improve risk management, and optimize processes. Banks and fintechs that embrace a big-data-driven strategy will be more competitive and sustainable.
The use of AI throughout the SDLC is redefining how we build, deliver, and evolve digital products.
