More than any other factor, the hyperabundance of accessible data has powered today’s surge in AI adoption and generative AI capability. Collecting, cleaning, organizing, and securing that data for AI ...

State and local governments are embracing data modeling and governance strategies to advance efficiency, sharpen decision-making, and elevate their service delivery. In so doing, they’re helping ...

Chinese AI models are challenging OpenAI and Anthropic on cost, but enterprises must weigh lower prices against security, compliance, and vendor risk.

As AI helps improve efficiency and decision making across industries and organizations, almost all startups are building their own AI model. However, there’s one critical aspect that most startups ...

NTT DATA and Cursor Partner to Accelerate Enterprise-Grade Modernization and AI Governance* NTT DATA leveraging Cursor to strengthen its own engineering and delivery model.* Enterprise-grade ...

Air Canada's chatbot hallucinated a bereavement policy that resulted in financial liability through a tribunal ruling. Meanwhile, NACD survey reports that while 62% of organization boards now hold ...

Unlock the potential of your data with this insightful white paper. It delves into the world of enterprise data modeling, showcasing how it not only drives business value but also forms the bedrock of ...

Human society has entered a new stage of development driven by data, where data is gradually becoming a factor of production. Big data and artificial intelligence technologies driven by data are ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

While it’s important to implement processes and procedures that safeguard data security and privacy, you can also focus on more strategic data governance goals. An organization’s data is one of its ...

Data governance is an umbrella term encompassing several different disciplines and practices, and the priorities often depend on who is driving the effort. Chief data officers, privacy officers, ...