Adopting AI without data organization can compromise results

Artificial intelligence, especially in its generative aspect, has driven transformations in several sectors. However, despite the enthusiasm for innovation, many companies are still not prepared to integrate these technologies efficiently and safely.

The most critical point is the quality of internal data. Without a solid structure for governance, organization and validation of information, the adoption of AI-based solutions can generate risks and rework — instead of efficiency and innovation.

Data from a recent study conducted by Google Cloud reinforces this reality:

66% of companies that have adequately prepared for the adoption of AI report gains in operational efficiency

57% have improved customer experience

49% have managed to accelerate their innovation processes

On the other hand, the same survey indicates that 66% of organizations consider at least half of their data to be “dark”, that is, not analyzed or understood — and only 44% fully trust the quality of their information.

According to experts in the field, the basis for successful AI projects begins with reliable and well-structured data. As Caio Galantini, executive director of a consulting firm specializing in the sector, points out:

“Adopting artificial intelligence without planning is like building a building without a foundation. It is necessary to have clear processes for collecting, categorizing and validating data so that the technology delivers real value.”

Here at VOTTAX, we help companies structure their digital transformation initiatives with a focus on data, integrating governance, technology and strategy in a practical and efficient way.

If your company is thinking about taking its first steps with AI or wants to ensure a solid foundation for safe growth, count on our team.