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In this video, we’ll cover async and await, real syntax examples, and the biggest mistakes developers still make. Not just theory — real examples built and tested in Xcode.
In this video, Tun Shwe (@DataSurfer), Head of AI at Lenses.io, takes you on a journey through the Lenses MCP Server - the bridge between AI models and Apache Kafka. Discover how engineers, analysts, and compliance teams can now interact with Kafka using natural language.
See how SmartBear engineers used the SmartBear MCP Server to build API Drift—an MCP-powered automation that detects and resolves discrepancies between APIs, Swagger documentation, and PactFlow contracts.
Bitrise, the leading mobile DevOps platform, took home two prestigious honors at the National DevOps Awards 2025, winning both Best DevOps Tool/Product of the Year and the top award of the night, Overall DevOps Winner. The judges recognised Bitrise for redefining developer experience through its mobile-first approach and for delivering measurable impact across speed, reliability, and developer productivity.
In this must-listen episode of The Data Chief, Ilan Twig, co-founder and CTO of Navan, shares why large language models (LLMs) will revolutionize our relationship with technology, comparing the shift to the mouse replacing the keyboard. Ilan provides insight into the critical "Build vs. Buy" decision every company must face and reveals the intense process Navan undertook to launch Navan Cognition, built to ensure zero critical hallucination through supervisor agents.
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.
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.
In this quick guide, Speedscale's Matt LeRay shows you how to free your local development environment from direct AWS SES dependencies. When your application sends an email during local testing, it usually triggers a live AWS transaction, leading to slow tests, unnecessary cloud costs, and sometimes even spam filter issues.
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.