Data analytics have either been centralized or decentralized. Data mesh tried to fix that. The hub-and-spoke model goes further.

With industrial organizations undergoing rapid, large-scale digital transformations, it can sometimes be easy to miss the forest for the trees. When you get in the weeds on AI and machine learning ...

Using big data analytics & predictive analytics through DL is essential but these tactics are not simple, and you need a properly designed infrastructure.

Jerod Johnson, senior technology evangelist, CData Software, and Phillip Miller, senior product marketing manager, AI, Progress, joined DBTA's webinar, Powering AI/ML & Analytics with Smarter Data ...

Microsoft offers an array of options for data analytics in its cloud that are meant to operate together as a full analytics stack. Here is an overview of the core services and where each fits.

AI-driven analytics can help companies make better decisions for their new business models and contribute to three pillars of business success: increasing revenue, controlling costs and ensuring ...

Vast Data CEO Renen Hallak explains how the company’s unified data platform that combines storage, database, and compute capabilities into a single technology stack can improve the efficiency of ...

Dive into the latest strategies and technologies in data management and analytics this May 13-15 in Boston, MA at the Data Summit 2025 conference featuring AI & Machine Learning Summit, Generative AI ...

Cloud architecture and infrastructure as code are making it much easier to stand up an analytics lab for model development. Since this data can be highly sensitive — containing confidential ...

Other highlights from the survey include a priority on building out the proper infrastructure and technology stack for AI by upgrading data storage and data management technologies and creating ...