Digital transformation in the industry is no longer an option; it is an imperative necessity. However, the real challenge lies not only in extracting data but in knowing what to do with it. To address this challenge, Babel, a multinational technology company specializing in digital transformation solutions, and Savvy Data Systems have announced the start of a strategic collaboration.

Our joint objective is clear: to drive the digitalization of industrial organizations by implementing IIoT (Industrial Internet of Things) solutions, data analytics, and Artificial Intelligence (AI) applied directly to plant operations. In this way, we aim to transform data into operational decisions with a direct impact on ROI.

A comprehensive response to IT/OT convergence

This alliance stems from the union of two fully complementary forces. On one hand, we have Babel's extensive experience in digital transformation processes, technology integration, and change management in large corporations. On the other, we provide our deep technical capability in industrial connectivity, massive data capture, and real-time data exploitation.

In a scenario where connecting machines, systems, and business processes is vital, this alliance allows us to tackle IT/OT convergence projects with a truly comprehensive vision. We accompany companies throughout the entire journey: from the capture and contextualization of industrial data to its exploitation through advanced analytics, artificial intelligence, and operational applications.

We want to help companies take the definitive leap. It is about evolving from traditional models based on mere monitoring toward intelligent environments where data can trigger decisions, recommendations, or actions on the process with much greater speed, traceability, and control.

From industrial connectivity to intelligence at the point of action

The technological foundation of this collaboration relies on our Savvy Data Systems AIoT platform. This technology is designed to connect industrial assets, integrate data from different sources, and deploy AI applications and models in Edge, Fog, Cloud, or on-premises architectures.

What do we achieve with this? Bringing intelligence to the exact place and time where things happen: the machine, the production line, or the industrial system that needs an immediate response. Instead of just sending data to the cloud for posterior analysis, our platform ensures that information is processed close to its source.

By reducing the distance between the data, the decision, and the action, organizations can detect deviations, anticipate incidents, adjust process parameters, and react quickly. All of this has a direct and measurable impact on project efficiency.

• “The industry needs intelligence to be right where the data is produced and where decisions are made,” says Fernando Sáenz, CEO of Savvy Data Systems. “Our technology allows us to bring this analysis and action capability to the exact point where things occur. This alliance with Babel allows us to integrate this vision into broader transformation projects, combining industrial technology, consulting, and integration to turn data into real operational impact.”

• For her part, Isabel García, Head of Retail at Babel, adds: "At Babel, we understand that industrial transformation is no longer just about digitalizing processes, but about converting operational data into real decision-making capacity and continuous improvement." She also highlights that the objective is to "accompany industrial organizations in a pragmatic and scalable evolution, where technology generates tangible impact on efficiency, traceability, sustainability, and competitiveness.”

A scalable roadmap without technological barriers

Unlike other, more closed and rigid models, the joint offering we propose from Babel and Savvy firmly commits to an open ecosystem. The technology we use allows the integration of completely heterogeneous assets, such as robots, CNCs from different manufacturers, or external sensors, under a fully centralized orchestration.

Furthermore, we propose a progressive implementation model. We avoid complex, high-risk deployments to focus on a methodology based on the rapid validation of results through pilots. Once their effectiveness is proven, these projects scale massively to international plants. This is an approach we have already successfully validated in critical sectors such as aerospace, deploying fleets of hundreds of connected machines in markets like the UK or Mexico.

The innovation ecosystem as a starting point

To formalize this agreement, we chose the facilities of Ideko, a technology center specialized in advanced manufacturing and a member of Danobatgroup. This setting is no coincidence; it underscores the deep commitment of both companies to a real innovation ecosystem, where technology is tested and validated in high-precision manufacturing environments.