The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.
Modernize legacy BI without disruption. Refactor business logic into a governed semantic layer while keeping dashboards ...
Seeweb introduces Cloud DB, its new Database as a Service (DBaaS) platform designed to deliver scalable, secure, and ...
Combining MCP, analytics-as-code, and LLMs to automate analytics execution at software speed SAN FRANCISCO, CALIFORNIA ...
If you want your skills to show up in real work, you need more than theory. Guided projects help you move from “I watched a course” to “here is what I built and ...
Data Analytics and Generative AI are transforming industries worldwide. The Professional Certificate in Data Analytics and Generative AI by Purdue University, d ...
The hard truth is that the GTM model we as an industry have spent the past decade perfecting has become a relic.
1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump ...
Industry analysts have highlighted the rise of generative AI, autonomous analytics, and explainable AI (XAI) as defining ...
Identify and resolve data gaps, ensuring reports include required data and support strategic goals. Troubleshoot, resolve issues and ensure data is accurate and provides useful, relevant information.
Ketan Karkhanis explains how ThoughtSpot is building out an enterprise intelligence layer for smarter AI agents, which can ...
Discover 7 common Django scaling issues and learn practical solutions to optimize performance, handle high traffic, and scale ...
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