Synthetic Data

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Google Introduces Simula: A Reasoning-First Framework for Generating Controllable, Scalable Synthetic Datasets Across Specialized AI Domains

agentic ai, ai, AI (Artificial Intelligence), AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, New Releases, Software engineering, Staff, Synthetic Data, Tech News, Technology

Training powerful AI models depends on one resource that is quietly running out: specialized data. While the internet provided a seemingly infinite supply of text and images to train today’s generalist models, the next wave of AI breakthroughs — in cybersecurity, legal reasoning, healthcare, and other niche domains — requires data that simply doesn’t exist […]

Google Introduces Simula: A Reasoning-First Framework for Generating Controllable, Scalable Synthetic Datasets Across Specialized AI Domains Read More »

The modern statistical computing environment is changing everything

agentic ai, ai, AI (Artificial Intelligence), Artificial Intelligence, clinical research, Data Culture and Literacy, digital twins, Generative AI, public sector trends, statistical computing environment, Synthetic Data

When we published our Five Tips for Choosing a Statistical Computing Environment back in 2023, the conversation was about what to look for. If you’re evaluating how to select a statistical computing environment, start with this overview. The following post focuses on what has changed and what a modern SCE […] The post The modern

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Synthetic Data: How Human Expertise Turns Machine Scale Into Reliable AI Data

ai, AI (Artificial Intelligence), ai training data, Artificial Intelligence, Data Collection, Shaip Blogs, Synthetic Data

AI teams are under constant pressure to move faster. They need more data, more variation, and broader coverage across edge cases, languages, and formats. That is one reason synthetic data has become so attractive: it helps teams create training data at a pace that manual collection alone often cannot match. But there is a catch.

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How to modernize your data estate for AI success

2026 trends, agentic ai, ai, AI (Artificial Intelligence), Artificial Intelligence, data estate, data lakes, data quality, innovation, Retrieval-augmented generation, SAS Retrieval Agent Manager, Synthetic Data

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

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What is Synthetic Data in AI? Benefits, Use Cases, Challenges, and Applications

ai, AI (Artificial Intelligence), Artificial Intelligence, Shaip Blogs, Synthetic Data

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

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AI Governance in practice: How synthetic data prepares you for what’s next

ai, AI (Artificial Intelligence), AI Governance, Artificial Intelligence, data privacy, data security, model robustness, PII protection, regulatory compliance, representative data, SAS Data Maker, Synthetic Data, Trustworthy AI, Uncategorized

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

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엔터프라이즈 합성 데이터 생성 솔루션, ‘SAS 데이터 메이커’ 공식 출시

Artificial Intelligence, SAS, Synthetic Data, Trustworthy AI, Uncategorized, 합성데이터

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 »

Using LLMs to create synthetic data and tangible progress in the public sector

2026 predictions, 2026 trends, Artificial Intelligence, Entrepreneurship, fraud waste and abuse, Large Language Models, predictions, Synthetic Data, unstructured data

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

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The year of the AI audit: When the fines start to bite

2026 predictions, 2026 trends, AI Ethics, AI Governance, Artificial Intelligence, Equity and Responsibility, EU AI Act, predictions, Synthetic Data

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

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What is Synthetic Data in AI? Benefits, Use Cases, Challenges, and Applications

Artificial Intelligence, Shaip Blogs, Synthetic Data

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 »