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@laura_garcia shared a post, 1 week, 2 days ago
Software Developer, RELIANOID

Pink26: ITSM – The Next Generation 🚀

📍 February 16–18, 2026 | Las Vegas The future of IT Service Management starts here. Pink26 brings together global IT leaders for a powerful mix of innovation, learning, and real-world transformation — inspired by the spirit of Star Trek: The Next Generation. From ITSM and DevOps to AI, Agile, and Ex..

pink26 las vegas relianoid
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@shubham321 shared a post, 1 week, 3 days ago
Software engineer, Keploy

Latency Test Guide: How to Boost App Speed and Improve UX

Did you know 100ms of lag can cost you 1% in sales? Learn how to master the latency test to isolate network, application, and database bottlenecks for a snappier, more reliable user experience

Latency testing (2)
Vertex AI is Google Cloud’s end-to-end machine learning and generative AI platform, designed to help teams build, deploy, and operate AI systems reliably at scale. It unifies data preparation, model training, evaluation, deployment, and monitoring into a single managed environment, reducing operational complexity while supporting advanced AI workloads.

Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.

The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.

Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.