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 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 ...

Time flies in the world of data analytics and artificial intelligence (AI). Seemingly every day, new technologies rise, new use cases emerge, and new frontiers unfurl themselves before a world that ...

For years, companies have been moving their most valuable customer data into countless different systems used by marketing, ...

Data integration is a leading priority for enterprise executives, with 82% of senior executives considering scaling AI a top priority. However, this ambition is frustrated by the longstanding practice ...

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...

The Intelligence Community just signed and will soon release a data reference architecture intended to help its 18 elements connect siloed data across their distributed ecosystem, according to Chief ...

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 ...

The redesign of data pipelines, models, and governance frameworks is integral in facilitating the adoption of automation ...