Data modeling is the procedure of crafting a visual representation of an entire information system or portions of it in order to convey connections between data points and structures. The objective is ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

A decade in product development taught me that strong products don't come from UI or features. It's the data model underneath ...

Japan is facing the urgent challenge of aging infrastructure, amidst ineffective linking of on-site experience and expertise ...

AI needs human data to function effectively, but the internet is becoming flooded with AI-generated content. Artificial intelligence has revolutionized everything from customer service to content ...

Earlier this week, DeepSeek, a well-funded Chinese AI lab, released an “open” AI model that beats many rivals on popular benchmarks. The model, DeepSeek V3, is large but efficient, handling text-based ...

To reduce the threat of model loss, synthetic data corruption and insight erosion, CXOs must create a new class of "AI-aware" data recovery capabilities.

Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across ...