Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.

In an era where data is a strategic asset, organizations often falter not because they lack data—but because their architecture doesn’t scale with their needs. Leaders must design data ecosystems that ...

Right now, AI technologies are not just enhancing existing technology portfolios-they are reshaping how organizations think ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

The evolving landscape of data architecture has shifted in the past two years with the arrival of AI capabilities -- fundamentally changing how organizations evaluate, justify, and implement their ...

Billion-dollar GPUs may dominate the headlines, but a strong sovereign storage foundation will prove the real star in ...

Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in mind, technical professionals must strive to enhance and modernize ...

Data access is no longer just an IT problem — it’s a business acceleration issue. In this episode of DEMO, Keith Shaw sits down with Chris Brown, Field CTO at Immuta, to explore how their platform is ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

The architecture profession is increasingly facing the pressures of a rapidly changing era marked by urbanization, population growth, and climate change. To effectively navigate the complexities ...