As artificial intelligence becomes part of corporate operations, a new priority is emerging behind the scenes at companies: ensuring that the data used by systems, intelligent agents and analytical platforms is trustworthy. In this scenario, so-called Data Contracts are beginning to gain relevance as a strategic governance layer capable of transforming data into predictable and scalable operational assets. Data Contracts are structured agreements that define how data should be produced, consumed and maintained within organizations ...

For years, the artificial intelligence race has been measured by chatbots, benchmarks, and text generation capabilities. In 2026, the dispute begins to migrate to a much more strategic layer: whoever can transform AI into real operational work within companies will be able to control a significant part of the next generation of the digital economy. Claude Code shows that AI agents are moving from being assistants to becoming software operators ...

For years, companies have made strategic decisions based on historical reports, spreadsheets and limited projections. Now, the combination of enterprise data, cloud computing and artificial intelligence is creating a new operational layer: digital environments capable of simulating entire businesses before any changes happen in the real world. The so-called AI Digital Twins are starting to become one of the most strategic assets in corporate digital transformation. AI Digital Twins are digital replicas that allow you to test decisions before actual execution ...

For years, companies have sought growth by hiring more people, creating new departments and expanding operational structures. The rise of artificial intelligence is beginning to challenge this logic. Among the leaders who have drawn the most attention in this debate is Tobi Lütke, founder of Shopify, who has come to defend a radically different approach to corporate productivity. Tobi Lütke is transforming Shopify into an AI-First company ...

For years, companies have invested billions in collecting, storing and analyzing data. Now, a new change is beginning to gain momentum within digital transformation: the creation of data products specifically designed to be consumed by artificial intelligence agents. More than storing information, the objective is to provide reliable operational context for systems capable of performing tasks, making decisions and coordinating processes at scale. AI Data Products represent the evolution of enterprise data strategy ...

The debate about artificial intelligence no longer revolves solely around generative models and has definitively entered the operational structure of companies. Recent statements by Marc Benioff, founder of Salesforce, show that the next phase of digital transformation may be less about creating new software and more about building hybrid teams made up of humans and AI agents. Marc Benioff says AI agents are already changing the way companies hire Technology companies are starting to use AI agents not just as productivity tools, but as operational components capable of changing strategic hiring decisions. ...

The advancement of artificial intelligence is no longer just a race for more powerful models. Now, the dispute involves who will control the next interface between people, companies and technology. In this scenario, Sundar Pichai has been positioning Google for a transformation that could profoundly change the way businesses operate, sell and relate to customers in the digital economy. Sundar Pichai’s strategy goes beyond AI models ...

The race for the next generation of global digital infrastructure is intensifying. After dominating sectors such as e-commerce, cloud computing and logistics, Amazon is now expanding its presence in one of the most strategic markets in modern technology: satellite internet. With the advancement of Project Kuiper, the company officially enters the race to challenge Starlink’s leadership and compete in a market that could generate hundreds of billions of dollars in the coming decades. ...

For years, companies accumulated documents, CRMs, spreadsheets, dashboards, support tickets and disconnected internal bases. Now, with the advancement of autonomous AI agents, the market is beginning to realize that artificial intelligence without reliable organizational context creates a new silent operational bottleneck. AI Knowledge Graphs begin to become strategic infrastructure for corporate AI Companies are discovering that generative AI models work best when they can access structured relationships between data, people, systems and internal processes. ...

The race for corporate artificial intelligence is creating a new silent dispute in the global market: who controls the computing infrastructure that supports AI systems. At the center of this movement is NVIDIA, a company led by Jensen Huang, which has gone from being just a chip manufacturer to becoming a strategic part of the new digital economy. NVIDIA is transforming itself into the operational infrastructure of enterprise artificial intelligence NVIDIA’s strategy has changed profoundly in recent years. The company no longer operates solely as a supplier of GPUs for games or graphics processing. The focus now is on building the computational foundation that underpins autonomous agents, corporate co-pilots, generative systems, and AI-powered business operations. ...