On Wednesday (3), in São Paulo, Evolve25 brought together executives, scientists and technology professionals to discuss the future of artificial intelligence applied to data.
In this third edition of the event, Cloudera CEO Charles Sansbury highlighted the investments that the company has been making to help its customers go safely and aligned with the business strategy. “Our investments are always based on customer feedback,” he said. As an example, he pointed to the acquisition of the Taikun platform, which offers solutions for public, private and hybrid clouds.
“When we draw our product strategy for the future, the goal is to help customers deliver this experience anywhere. It is about helping them to manage data, whether public or private. We work to create and model agents safely, without harming interactions or allowing data to escape from security perimeters,” he explained.
Much more than a tool
Rubia Coimbra noted that, right after the Generative AI technology boom in 2023, one of the main questions raised was that simply having data did not mean that these assets were ready to work with this new capacity.
Today, she explained, the focus changed. “The message now is: What does it mean to have ready -made data to the general Ia?” He said. Rubia emphasized that companies no longer doubt that investing in this technology to work with data will bring return. “Cloudera has several customers who are already experiencing these returns,” he said. For her, the central question now will be able to fully enjoy the potential of this technology in a sustainable and long term way.
AI by the look of an expert
The event also featured a lecture by Silvio Meira, scientist, teacher and one of the main names in software and innovation engineering in Brazil. For him, AI is a transformative and irreversible technology that impacts multiple aspects of business and society.
He also emphasized that artificial intelligence is not intelligence in itself, but an algorithmic imitation of fragments of the human mind – hyperconnected, fast, disruptive and often invisible. According to him, AI can act at various levels, from describing and diagnosing situations to predicting scenarios, prescribing actions, supporting decisions, operating autonomously, adapting to new contexts, and even defining business strategies.
The scientist also stressed that this potential can only be unlocked if companies strategically manage the life cycle of their data and integrate AI with a broad view rather than treating it as an isolated feature.
