Systems | Development | Analytics | API | Testing

Snowflake CEO Sridhar Ramaswamy Announces Snowflake Intelligence General Availability

Snowflake CEO Sridhar Ramaswamy shares details about how he uses Snowflake Intelligence every day to prepare for meetings, get real-time sales forecasts, review account details, and more. Learn how Snowflake Intelligence can help you get more from your data every single day.

Snowflake Intelligence: All Your Knowledge. One Trusted Enterprise Agent.

Snowflake Intelligence is an enterprise intelligence agent that puts insights at every user’s fingertips. It enables every employee to answer questions, no matter how simple or complex, in natural language. They can move beyond the “what” to uncover the critical “why,” fostering a new data culture where every employee can derive deep insights and take timely action for faster outcomes. Gain insights from structured and unstructured data with Snowflake Intelligence via this quickstart.

Unlocking Enterprise AI: How Qlik and Snowflake Intelligence Empower Data-Driven Decisions

The enterprise AI landscape is transforming rapidly. On November 4th, Snowflake Intelligence—a breakthrough agentic AI platform built on the Cortex AI suite—ushers in a new era of business insights. With support for natural language querying (NLQ) and generation (NLG), organizations can interact with their data conversationally, unearthing real-time intelligence directly from complex, multimodal sources.

LLM Observability Tools in 2025

1. Organizations have moved beyond pilots and are embedding LLMs into production workflows across customer support, finance, security, and software delivery. 2. LLM observability mitigates risks like hallucinations, bias, compliance breaches, and runaway costs. 3. LLM observability requires prompt/response tracking, hallucination detection, drift monitoring, RAG pipeline visibility, and long-term context tracing. 4.

Context Is the New Code: Inside Keboola's Vision for Agent-Powered Data Workflows

At this year’s Big Data London, Keboola CEO Pavel Doležal sat down with data expert Christina Stathopoulos on EM360Tech’s Don't Panic, It’s Just Data podcast to explore what’s next in enterprise data automation. The conversation centered on a quiet but powerful shift in how AI, particularly large language models (LLMs), is changing the way organizations interact with their data platforms - not just by querying them, but by acting on them.

The AI-Powered Telecommunications Enterprise: Zain KSA's Strategy

The AI-Powered Enterprise: A Zain KSA Blueprint In the competitive telecommunications sector, how does a leading communications service provider move its AI strategy into action? This interview with Zain KSA’s Analytics General Manager, Hamzeh Saud Aldraaee, reveals their powerful blueprint for success.

API Gateway vs. AI Gateway: The Definitive Guide to Modern AI Infrastructure

Traditional API Gateways: Excellent for routing, auth, and microservice traffic; poor at AI workloads. Limitations: Can't track tokens, manage streaming responses, enforce content-level security, or use semantic caching. AI Gateways Purpose-built for LLMs with: Architecture Recommendation: Layered approach: Benefits: Lower costs (20--40%), better performance, centralized governance, future-proof AI infrastructure. Market Context.