Every synthetic dataset generated today trains tomorrow's models while potentially poisoning the ecosystem those models ...
While everyone focuses on synthetic data’s privacy benefits — yes, Gartner forecasts it represented 60% of AI training data ...
Synthetic data allows regulators to test the resilience of critical infrastructure defenders under extreme hypothetical scenarios.
Campaign Middle East on MSNOpinion
The year ahead for data privacy and ethical marketing
As we enter 2026, the convergence of data privacy, artificial intelligence (AI), and personalisation marks a defining moment ...
The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...
Artificial Intelligence (AI) models are only as good as the data on which they are trained. Yet gathering enough high-quality ...
Deepfakes have moved from novelty to material enterprise risk, reshaping how organizations assess privacy, security, brand integrity and ...
As India’s digital economy matures and the DPDP Act reshapes accountability, privacy is increasingly seen as a marker of ...
Lasting change comes from how companies design and govern data across the application life cycle throughout the year, says ...
Hyperscalers are increasing AI capacity but IT buyers are now looking at their return on investment for this much-hyped technology ...
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