AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
Google Cloud Summit came to London last week, and we took the opportunity to sit down with database execs Sailesh ...
Tech leaders are under pressure to satisfy growing demand for AI while keeping a lid on costs. That is becoming harder as ...
Overview AI and big data posted the sharpest jump on WEF's 2025 skills ranking, up 17 percentage points in two years, while ...
At Data + AI Summit, Databricks CEO Ali Ghodsi unveiled LTAP, a new architecture that collapses the 40-year unification ...
Overview: Data analysts focus on understanding past business performance through reporting, dashboards, and insights, while ...
When Miro’s data team pointed AI agents directly at its Snowflake environment, the agents got the wrong answer more than 65% of the time. The problem wasn’t the model — it was context. With more than ...
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Paytm's Prism AI: India's No 2 Global Breakthrough in Enterprise Text-to-SQL Ushers in the Age of Autonomous Data Intelligence
In a landmark moment for Indian artificial intelligence, fintech leader Paytm has developed Prism, a proprietary ...
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Alibaba's model never trained as an agent — and improved agent performance across seven benchmarks
Real environments can't inject edge cases on demand. Alibaba's Qwen-AgentWorld simulates them — and outperformed ...
The coolest database system companies of the 2026 Big Data 100 include ClickHouse, Couchbase, EDB, MariaDB, MongoDB, Neo4j, Pinecone and Yugabyte.
One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the ...
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