Snowflake's Matt Nunn explains why effective AI starts with effective data preparation, from ingestion and transformation through semantic context, storage, enrichment and secure consumption.

FOR much of the last decade, “data scientist” was one of the hottest job titles in technology. Companies wanted them.

Most companies start with what’s often called the “swamp” stage: raw exported tables from whatever system produced them, ...

A public PoC for a SQL injection flaw in Apache Superset versions before 6.0.0 could allow authenticated read-level users to trigger error-based SQL injection.

Cisco released emergency patches for a critical vulnerability in its Secure Email Gateway appliance that could allow ...

Fivetran + dbt Labs today announced the general availability of dbt v2 and dbt State, delivering new levels of speed and cost optimization, and introduced Fivetran Context Layer, new dbt Wizard ...

Compare the best conversation intelligence software for sales teams, including ZoomInfo Chorus, Gong, Salesloft, Clari, ...

Data Analyst and Data Engineer careers differ significantly in responsibilities, technical skills and potential salary despite working closely with the same data. Data analysts typically clean and ...

Databend Cloud provides a unified data platform for modern applications and AI workloads, combining raw-data retention, incremental transformation, analytics, search, Evals, and training data ...

BOS 2026 updates to Composer, the Klaviyo Data Platform and headless access, and what they signal for the broader B2C marketing technology market. Costa Mesa, California – September 15, 2026 ...

What vector and graph databases actually do, why AI agents made both matter, which vendors offer UK hosting, and when the ...

Microsoft is positioning its broader data platform around AI business value. Customers want to know how the company is ...