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After an initial wave driven by experimentation with generative artificial intelligence, the market is entering a new phase: turning AI into real-world operations. This was one of the key themes discussed at the Data + AI Summit 2026, one of the world's leading conferences on data and artificial intelligence, held in San Francisco in June.
According to Act Digital, an AI-first Brazilian multinational technology company operating in 13 countries and recognized as a Leader in two ISG Provider Lens™ Databricks Ecosystem Partners quadrants in Brazil for excellence in data platform modernization, artificial intelligence, machine learning, and managed data optimization services, the evolution of enterprise AI is shifting away from the race for the most powerful model toward a more strategic question: how to prepare organizations to operate intelligent agents at scale.
The Summit also highlighted Databricks' clear evolution in positioning, from a data, analytics, and lakehouse platform to a platform for enterprise AI execution. The agenda combined real-time data, intelligent applications, AI agents, governance, observability, model choice, and cost control within a single architectural framework.
As a Databricks partner, Act Digital helps translate this vision into execution for its clients. This means supporting organizations in defining priority use cases, designing AI and data architectures, integrating AI into business processes, establishing agent governance, managing costs, and evolving isolated AI initiatives into scalable enterprise-wide strategies.
"In recent years, much of the conversation focused on which AI model would come out on top. But the market is realizing that this is no longer the main challenge. The real competitive advantage will come from the ability to connect AI to each company's business context through well-organized data, strong governance, and processes designed to turn intelligence into action," says Frédéric Martineau, CTO of Act Digital.
According to the executive, many organizations have already moved beyond pilots and proof-of-concept initiatives but still struggle to bring AI into the core of their operations. The reason is that deploying intelligent agents requires far more than simply providing access to AI tools.
"The biggest bottleneck in AI today is no longer technological. Companies already have access to the most advanced models. The challenge is preparing the environment so these models can truly understand the business. An AI agent only creates value when it understands the organization's context, has access to the right data, knows its decision boundaries, and operates within well-defined business processes," he explains.
Among the main trends identified by Act Digital during the event are:
The next generation of enterprise AI will be defined by agents capable not only of answering questions but also of executing tasks, supporting decision-making, and automating business processes.
"We are moving toward a model where humans and AI agents work side by side. AI takes over repetitive tasks, accelerates analysis, and expands operational capacity, while people continue to provide critical thinking, creativity, and business expertise," Martineau says.
As dozens or even hundreds of AI agents gain access to enterprise information, governance is no longer just a matter of security or compliance, it becomes essential for achieving scale.
Access control, traceability, cost management, and data quality will increasingly determine which organizations are able to move forward successfully.
"The question is no longer simply, 'How do we prevent AI from making mistakes?' The new question is, 'Is my organization prepared to enable AI to make the right decisions?'" says Act Digital's CTO.
As AI models continue to evolve, an organization's ability to organize and structure its internal knowledge becomes increasingly important.
Scattered data, undocumented processes, and disconnected information significantly limit AI's potential.
"There is no truly intelligent AI inside a company if it doesn't understand that company. Organizing that business context will be one of the defining challenges of the coming years," Martineau emphasizes.
The adoption of intelligent agents is also expected to fundamentally reshape technology organizations. As AI increasingly supports software development, data analysis, and operations, technology professionals will take on more strategic responsibilities.
"Developers will no longer be defined simply by writing code. They will increasingly become architects of intelligent solutions, professionals capable of guiding, validating, and maximizing the value of AI systems," he explains.
For Act Digital, the next phase of artificial intelligence will be defined less by the adoption of AI tools and more by operational transformation.
"The next competitive advantage won't come simply from using AI. It will come from building organizations capable of combining people, data, and intelligent agents to create real business impact," Martineau concludes.
After an initial wave driven by experimentation with generative artificial intelligence, the market is entering a new phase: turning AI into real-world operations. This was one of the key themes discussed at the Data + AI Summit 2026, one of the world's leading conferences on data and artificial intelligence, held in San Francisco in June.
According to Act Digital, an AI-first Brazilian multinational technology company operating in 13 countries and recognized as a Leader in two ISG Provider Lens™ Databricks Ecosystem Partners quadrants in Brazil for excellence in data platform modernization, artificial intelligence, machine learning, and managed data optimization services, the evolution of enterprise AI is shifting away from the race for the most powerful model toward a more strategic question: how to prepare organizations to operate intelligent agents at scale.
The Summit also highlighted Databricks' clear evolution in positioning, from a data, analytics, and lakehouse platform to a platform for enterprise AI execution. The agenda combined real-time data, intelligent applications, AI agents, governance, observability, model choice, and cost control within a single architectural framework.
As a Databricks partner, Act Digital helps translate this vision into execution for its clients. This means supporting organizations in defining priority use cases, designing AI and data architectures, integrating AI into business processes, establishing agent governance, managing costs, and evolving isolated AI initiatives into scalable enterprise-wide strategies.
"In recent years, much of the conversation focused on which AI model would come out on top. But the market is realizing that this is no longer the main challenge. The real competitive advantage will come from the ability to connect AI to each company's business context through well-organized data, strong governance, and processes designed to turn intelligence into action," says Frédéric Martineau, CTO of Act Digital.
According to the executive, many organizations have already moved beyond pilots and proof-of-concept initiatives but still struggle to bring AI into the core of their operations. The reason is that deploying intelligent agents requires far more than simply providing access to AI tools.
"The biggest bottleneck in AI today is no longer technological. Companies already have access to the most advanced models. The challenge is preparing the environment so these models can truly understand the business. An AI agent only creates value when it understands the organization's context, has access to the right data, knows its decision boundaries, and operates within well-defined business processes," he explains.
Among the main trends identified by Act Digital during the event are:
The next generation of enterprise AI will be defined by agents capable not only of answering questions but also of executing tasks, supporting decision-making, and automating business processes.
"We are moving toward a model where humans and AI agents work side by side. AI takes over repetitive tasks, accelerates analysis, and expands operational capacity, while people continue to provide critical thinking, creativity, and business expertise," Martineau says.
As dozens or even hundreds of AI agents gain access to enterprise information, governance is no longer just a matter of security or compliance, it becomes essential for achieving scale.
Access control, traceability, cost management, and data quality will increasingly determine which organizations are able to move forward successfully.
"The question is no longer simply, 'How do we prevent AI from making mistakes?' The new question is, 'Is my organization prepared to enable AI to make the right decisions?'" says Act Digital's CTO.
As AI models continue to evolve, an organization's ability to organize and structure its internal knowledge becomes increasingly important.
Scattered data, undocumented processes, and disconnected information significantly limit AI's potential.
"There is no truly intelligent AI inside a company if it doesn't understand that company. Organizing that business context will be one of the defining challenges of the coming years," Martineau emphasizes.
The adoption of intelligent agents is also expected to fundamentally reshape technology organizations. As AI increasingly supports software development, data analysis, and operations, technology professionals will take on more strategic responsibilities.
"Developers will no longer be defined simply by writing code. They will increasingly become architects of intelligent solutions, professionals capable of guiding, validating, and maximizing the value of AI systems," he explains.
For Act Digital, the next phase of artificial intelligence will be defined less by the adoption of AI tools and more by operational transformation.
"The next competitive advantage won't come simply from using AI. It will come from building organizations capable of combining people, data, and intelligent agents to create real business impact," Martineau concludes.
