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402.74 million terabytes of data are generated every day. That’s a staggering number. As more organizations gravitate toward cloud-native, open-source-friendly architectures integrated with an ecosystem, the demand for explainability from AI models trained on this data mounts. So does pressure to show ROI from AI investments. Data is the source […] The post How to […]
How to modernize your data estate for AI success Read More »
In the evolving world of artificial intelligence (AI) and machine learning (ML), data serves as the fuel powering innovation. However, acquiring high-quality, real-world data can often be time-consuming, expensive, and fraught with privacy concerns. Enter synthetic data—a revolutionary approach to overcoming these challenges and unlocking new possibilities in AI development. This blog consolidates insights from
What is Synthetic Data in AI? Benefits, Use Cases, Challenges, and Applications Read More »
This blog with co-written with Sundaresh Sankaran. The Artificial Intelligence (AI) era is here. To prevent harm, ensure proper governance and secure data, we need to trust our AI output. We must demonstrate that it operates in a fair and responsible manner with a high level of efficiency. As builders of […] The post AI Governance
AI Governance in practice: How synthetic data prepares you for what’s next Read More »
혁신적인 합성 데이터 생성 솔루션으로 데이터 부족 문제 해결, AI 역량 강화 마이크로소프트 마켓플레이스에서 우선 공급 민감한 개인정보를 노출하지 않으면서 안전하게 합성 데이터를 생성할 수 있게 해주는 ‘SAS 데이터 메이커’가 출시되었습니다. 현재 마이크로소프트 마켓플레이스에서 제공되는 ‘SAS 데이터 메이커’는 실제 데이터의 통계적, 관계적, 시간적 특성을 그대로 재현하는 합성 데이터를 생성하며, […] The post 엔터프라이즈 합성
엔터프라이즈 합성 데이터 생성 솔루션, ‘SAS 데이터 메이커’ 공식 출시 Read More »
People are starting to compile resolutions for the new year, focusing on evolving their own habits and goals. At SAS, we’ve also looked toward 2026 to gather predictions on how AI in the public sector might evolve over the next 12 months. Prediction: By 2026, governments will utilize large language […] The post Using LLMs
Using LLMs to create synthetic data and tangible progress in the public sector Read More »
For years, “responsible AI” has lived comfortably as a corporate promise, a slide in a presentation, a talking point at a conference. But as the EU AI Act phases into force, that comfort is rapidly eroding. The regulation officially entered into force on August 1, 2024, but its obligations will […] The post The year
The year of the AI audit: When the fines start to bite Read More »
In the evolving world of artificial intelligence (AI) and machine learning (ML), data serves as the fuel powering innovation. However, acquiring high-quality, real-world data can often be time-consuming, expensive, and fraught with privacy concerns. Enter synthetic data—a revolutionary approach to overcoming these challenges and unlocking new possibilities in AI development. This blog consolidates insights from
What is Synthetic Data in AI? Benefits, Use Cases, Challenges, and Applications Read More »
