Transform your data into strategic decisions

No! We always use paid or pro versions that do not share sensitive information. All of these tools are fully compliant with applicable privacy laws and regulations. Additionally, we make sure to configure each tool with appropriate security controls and industry best practices and standards in order to protect all of our customers’ data.

We develop AI models ethically and securely, following strict protocols to protect customer data. We use public and anonymized databases for initial training and refine them with synthetic or open-source data. Models are constantly monitored to maintain their integrity.

e-Core adheres to major privacy regulations such as LGPD, GDPR, CCPA and HIPAA, implementing robust data protection measures. We obtain user consent and perform DPIAs (Data Protection Impact Assessments) for projects involving personal data.

Data, depending on the need and application, is anonymized, encrypted and kept in a secure environment through cloud providers such as AWS. Our customers can manage their data and request manual reviews of automated decisions. Transparency and ongoing employee training ensure compliance and security.

There are several actions to achieve this, such as:

Extensive offline testing: Before going into production, models undergo extensive testing using synthetic data to ensure accuracy.

In-production monitoring: We continuously track model performance and results to detect deviations.

Human Review: All forecasts are verified by experts before being delivered to clients.

Continuous model training: We incorporate customer feedback to regularly improve and retrain models.

Transparent documentation: We record and report the known capabilities and limitations of forecasts.

Security: We perform regular testing for vulnerabilities and standards compliance.

At e-Core, we take the ethical and responsible use of artificial intelligence very seriously. Before putting any model into production, we conduct extensive bias testing using established methodologies to identify and correct potential unfair biases.

We also incorporate transparency and explainability mechanisms into our models, providing documentation and tools that allow for understanding decisions and results.

Additionally, we continually monitor models in use for ethical issues and are always open to feedback from customers. If biases or unethical decisions are identified, we have robust processes in place to investigate the root causes, suspend use of the models, and update the algorithms to address these issues.

We are committed to ensuring that our AI systems reflect our highest ethical values. We believe that AI should benefit everyone in a fair, transparent and responsible way.

Integrating AI tools such as ChatGPT Plus or GitHub Copilot Business increases operational efficiency, improves code quality, and facilitates data-driven decision-making. These tools align with e-Core’s focus on customer-centric solutions and enable business acceleration and transformation.