Imagine walking into a museum where every visitor’s movement is tracked—not to invade privacy, but to understand what captures attention, where they linger, and what exhibits they skip. Digital ...

When tech giants like Netflix and Intuit adopted the data mesh architecture, it looked like the next big thing. A few short years later, disillusionment has set in, with companies turning their backs ...

There are a lot of folks in the community saying that implementing structured data / schema on your pages will help you with AI Search visibility. But few have really tested it until now. And those ...

The way people find and consume information has shifted. We, as marketers, must think about visibility across AI platforms and Google. The challenge is that we don’t have the same ability to control ...

Google has released the MCP Toolbox for Databases, a new open-source module under its GenAI Toolbox aimed at simplifying the integration of SQL databases into AI agents. The release is part of ...

Continuous delivery (CD) refers to a software engineering approach where teams produce software in short cycles, ensuring that software can be reliably released at any time. Its main goals are to ...

Abstract: Automated schema matching for multi-source heterogeneous databases can effectively promote data integration and interoperability, enhance data quality, support data migration and ...

In the ever-evolving world of data management, the terms “data lake,” “data warehouse,” and “data lakehouse” are frequently discussed. Each of these solutions offers unique benefits and serves ...

There is a big debate in the SEO community on the topic of schema markup and LLMs. Do LLMs like Microsoft Bing's Copilot, Google's Gemini, OpenAI's ChatGPT, Perplexity and others use schema markup and ...

Database security is crucial to protect the integrity, confidentiality, and availability of data. It builds customer trust, helps comply with regulations, and reduces the risks associated with ...