An open, services-oriented approach has clear advantages for building modular and scalable applications. We should take the same approach to our data. Data analytics solutions are continuing to emerge ...

As the world becomes increasingly data-driven, AI/ML algorithms are being incorporated in most business applications. Historically, data in AI architectures was moved to a central location to perform ...

How CPU-based embedding, unified memory, and local retrieval workflows come together to enable responsive, private RAG ...

In becoming the largest privately held freight transportation company in North America, Estes Express Lines Inc. created a lot of data silos. Following years of acquisitions, diversification and ...

The pandemic has rapidly accelerated three important technology trends: 1. cloud migrations, 2. security related to those migrations and 3. data-driven decision making and customer experiences. Let’s ...

While the emerging constellation of next-generation data architectures—fabric, mesh, and cloud—is extremely appealing, it’s still full of unknowns. These approaches present opportunities for greater ...

Generative AI (GenAI) is no longer a futuristic concept, it’s a present-day force reshaping industries at rapid speed. From ...

Techniques to protect sensitive data have evolved over thousands of years, literally, but the pace of modern data protection is rapidly accelerating and presents both opportunities and threats for ...