Likewise, as AI adoption continues to accelerate, many organizations now find themselves facing the challenge of extending their existing data infrastructure to support the unique demands of AI ...

Enterprise IT and application platforms going down the M&A path to offer the “complete” AI data stack for IT departments risk overlooking the wider spectrum of business users who will be the driving ...

Reframing Data Center Construction Modular design and construction have proven beneficial for data center architecture, aligning with the needs of rapidly evolving technology.

Today, technological advances, such as Artificial Intelligence (AI) and machine learning, have transformed architecture by providing generative design tools and new ways to collect, process, and ...

With the majority of DBTA subscribers reporting the existence of budgets for modernizing their data platforms, the widespread demand for greater scalability and agility becomes a difficult task to ...

Arm’s Chiplet System Architecture, which addresses key chip design challenges, builds on the Neoverse Compute Subsystem and AMBA.

DataCanvas, a Chinese data analytics company, introduced two new products AIFS and DataPilot on June 30. AIFS (AI Foundation Software) is an artificial intelligence application infrastructure platform ...

Now, Pinecone has announced what it calls a ‘revolutionary’ serverless vector database architecture that lets companies build AI applications that are even more knowledgeable and cost-efficient.

Data architecture, guidelines + industry standards: Health systems’ recipe for generating value from information assets Healthcare organizations are awash in data.

You could think of the project in this course as the capstone or the project for the earlier two courses, Applications of Software Architecture for Big Data. You will create something that's going to ...