News & Insights
Discover the latest trends, use cases, and insights about synthetic data, data privacy, and AI innovation from our team of experts.
Showing 47 articles
Redefining Cybersecurity in the Age of AI
Cybersecurity is shifting from protecting systems to protecting data. Learn how organizations can unlock AI safely using synthetic data, secure data spaces, and compliance-by-design frameworks.
Data Outliers, biasses and noises: Invisible Risks
In the development of AI solutions, three invisible threats compromise model quality, precision, and fairness: outliers, bias, and noise.
Technology with Purpose: Unlocking Responsible AI
Dedomena.AI empowers organizations to unlock the value of data without compromising ethics, privacy, or inclusion.
AI Governance Done Right: EU Regulatory Framework
Artificial Intelligence is reshaping the business landscape, offering immense opportunities but requiring significant responsibilities.
Validating AI: Secure Transparent Model Assessment
In an era where AI systems drive critical decisions, validating these models reliably and fairly is no longer optional.
How to monetize your data ethically and securely
Imagine sitting on a goldmine without realizing it. Every dataset holds untapped potential to be transformed into a valuable asset.
2025: The year Synthetic Data becomes essential
Synthetic data is creating a global marketplace of possibilities, enabling innovation and collaboration like never before.
Navigating the Data Governance Act: How DGA Sets New Standards
The Data Governance Act establishes a framework for data sharing and reuse across the EU, creating new opportunities and obligations.
Unlocking Value: How Synthetic Data Transforms Data Assets
Discover how synthetic data can transform your data assets into new revenue streams while maintaining privacy compliance.
Privacy by Design: From Bottleneck to Catalyst
Learn how privacy-first approaches can accelerate innovation instead of hindering it.
Exploring the Anonymity of Anonymized Data
A deep dive into the true anonymity of supposedly anonymized datasets and the risks of re-identification.
Synthetic Data: Enhancing ML in Insurance
How synthetic data is revolutionizing machine learning applications in the insurance industry.