Join us

ContentUpdates and recent posts about Vertex AI..
Story
@viktoriiagolovtseva shared a post, 1 month ago

Performance Review Template That Actually Works

Hiring the right person is only half the equation — helping them grow is the other

Zrzut ekranu 2026-05-01 131816
Story Keploy Team
@sancharini shared a post, 1 month ago

How to Track DORA Metrics Without Months of Engineering Work

Start tracking DORA metrics this week without months of work. Learn simple manual tracking, gradual automation, and practical tools to measure deployment performance

Track DORA Metrics Without Months of Engineering Work
Story
@viktoriiagolovtseva shared a post, 1 month ago

Contract Review Template for the Legal Team: a Free Checklist

Whether you’re reviewing a routine non-disclosure agreement or a complex commercial contract, your team likely follows roughly the same steps. Although many legal professionals don’t require a predefined plan, in some cases, having a contract review template is very helpful. 

For example, if you have a large legal department, work in a legal firm with numerous clients, or need to scale best practices, in all these cases, process standardization is essential. A contract review template enables you to document all the crucial steps, ensuring that your processes are robust and repeatable.

In this guide, we’ll share a free contract review template for legal teams. We also explain how to use it in Jira or Monday and how to add it to your tasks automatically.

Zrzut ekranu 2026-05-01 103840
Story
@viktoriiagolovtseva shared a post, 1 month ago

Jira Automation Best Practices That Will Save You Time

Managing projects in Jira often involves many repetitive actions. Creating work items for recurring tasks, reassigning them for reviews, and syncing statuses with dev tools – these are just a few examples. With Jira automation, you can handle such routine actions more efficiently and reduce manual work. If you set up automation rules that work together as a whole, you will create a well-functioning system. This will help you streamline processes and optimize resources.

In this article, we explore hands-on Jira automation best practices that actually save time. You’ll learn how to set up effective rules, avoid common mistakes, and make automation work seamlessly for your team’s unique processes.

Zrzut ekranu 2026-05-01 090408
 Activity
@adrian_schmidt started using tool TypeScript , 1 month ago.
 Activity
@adrian_schmidt started using tool React , 1 month ago.
 Activity
@adrian_schmidt started using tool Express , 1 month ago.
 Activity
@adrian_schmidt started using tool AWS Lambda , 1 month ago.
 Activity
@adrian_schmidt started using tool Amazon Web Services , 1 month ago.
 Activity
@adrian_schmidt started using tool Amazon SES , 1 month ago.
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.