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This development showcases how AI companies are borrowing successful engagement strategies from social media giants.

A report finds it a “global construction frenzy,” driven by the heavy computing and power needs of generative AI systems.

As companies pour unprecedented money into AI, soaring compute costs, limited model differentiation and an unsustainable ...

Cloud data platform’s backward-incompatible database schema change left customers unable to query data or ingest files ...

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Srinubabu Kilaru said Bringing version control and CI/CD into data pipelines changed how quickly we could respond to policy ...

Traditional semantic layers often rely on middle-tier caching, introducing additional latency and cost. MetaKarta Semantic Hub takes a different approach through orchestrated materialization, ...

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EDB Postgres® AI (EDB PG AI) follows this capacity-first approach with its open data warehouse environment, WarehousePG. With ...