Systems | Development | Analytics | API | Testing

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Snowflake Invests in Observe to Expand Observability in the Data Cloud

As organizations seek to drive more value from their data, observability plays a vital role in ensuring the performance, security and reliability of applications and pipelines while helping to reduce costs. At Snowflake, we aim to provide developers and engineers with the best possible observability experience to monitor and manage their Snowflake environment. One of our partners in this area is Observe, which offers a SaaS observability product that is built and operated on the Data Cloud.

Demystifying Microfrontends: A Practical Approach with React and Module Federation

Microfrontends is a modern front-end architectural approach, by which web applications are segmented (or decomposed) into smaller self-contained units, allowing for easier management and scalability. You can our introduction article to Microfrontends to understand better this architecture approach. Today we’re going to provide a step-by-step guide to the process of building a real-world application using React and Module Federation.

Connecting Space and Data: NASA's Asteroid Dust Quest and AI Innovation

Perhaps it's the awe-inspiring films about space exploration (my personal favorite – Apollo 13) that evoke the image of NASA as a place buzzing with activity, filled with screens displaying data, charts, and ALWAYS a big countdown clock. However, one of NASA's most recent challenges may surprise you - the task of cracking open a billion-dollar canister filled with ancient asteroid dust.

LLM Validation & Evaluation MLOps Live #27 with Tasq.ai

In this session, Yaron Haviv, CTO Iguazio was joined by Ehud Barnea, PHD, Head of AI at Tasq.ai and Guy Lecker ML Engineering Team Lead, Iguazio to discuss how to validate, evaluate and fine tune an LLM effectively. They shared firsthand tips of how to solve the production hurdle of LLM evaluation, improving LLM performance, eliminating risks, along with a live demo of a fashion chatbot that leverages fine-tuning to significantly improve the model responses.

Predict Known Categorical Outcomes with Snowflake Cortex ML Classification, Now in Public Preview

Today, enterprises are focused on enhancing decision-making with the power of AI and machine learning (ML). But the complexity of ML models and data science techniques often leaves behind organizations without data scientists or with limited data science resources. And for those organizations with strong data analyst resources, complex ML models and frameworks may seem overwhelming, potentially preventing them from driving faster, higher-quality insights.

Elevate Your HR Game with Data Integration

Human resource (HR) data integration connects your organization's disparate data sources, allowing them to "talk", which gives you clear insights into your company and its people resources. But how do you implement HR data integration? What are the challenges and benefits? Learn more about integrating HR data here.

Trip Report: On The Road to Signal-Driven Testing

Just shy of a year ago and coinciding with the Atlassian Team ‘23 conference, Testlio unveiled an initiative to help product teams adopt signal-driven testing as a core pillar of the future of software quality engineering. A lot of exciting things have happened and continue to happen since that announcement, which collectively serves as validation of the opportunity for product teams to dramatically improve test coverage efficiency through signal-driven testing.

Building Serverless Apps with the AWS CDK Using TypeScript

The AWS Cloud Development Kit (CDK) lets you build serverless applications with the expressive power of a programming language like TypeScript. The CDK defines cloud infrastructure in code and deploys via AWS CloudFormation. In this post, we will build a Lambda function, an AWS Gateway API, and an S3 bucket to upload CSV files. The API will take requests in JSON and seamlessly convert them to CSV format. We will use the AWS CDK in TypeScript to reliably deploy our app through AWS CloudFormation. Ready?

How Embedded Systems Are Transforming Robots in Manufacturing

The use of advanced robotics in the industrial automation industry is growing, helping organizations to save time and accelerate production. Extensive use of the Industrial Internet of Things (IIoT) in smart factories, advanced sensors, artificial intelligence (AI) and machine learning (ML), and connected devices and processes across distributed locations enable human-robot interaction (HRI) like never before.