Systems | Development | Analytics | API | Testing

How Real-Time Data Streaming with GenAI Accelerates Singapore's Smart Nation Vision

In today’s data-driven world, the ability to turn raw data into actionable insights is no longer a nice to have—it’s a necessity to power exemplary citizen service. Singapore’s Smart Nation initiative is built on the idea that data, when utilized effectively, can transform public services and improve lives.

Using Apache Flink for Model Inference: A Guide for Real-Time AI Applications

As real-time data processing becomes a cornerstone of modern applications, the ability to integrate machine learning model inference with Apache Flink offers developers a powerful tool for on-demand predictions in areas like fraud detection, customer personalization, predictive maintenance, and customer support. Flink enables developers to connect real-time data streams to external machine learning models through remote inference, where models are hosted on dedicated model servers and accessed via APIs.

New in Databox: Give Teams the Answers & Insights They Need - Faster

“Which MRR metric should I be looking at?” “What’s the best dashboard to track our sales performance?” “Where can I find our marketing goals?” Sound familiar? As we spoke with our customers to learn more about how they collaborate around data, we kept hearing the same challenges – growth creates a need for better data management. What starts as a few key dashboards and metrics quickly becomes hundreds, spread across different teams, projects, and platforms.

Your Enterprise Data Needs an Agent

Snowflake is expanding its AI capabilities with the public preview of Cortex Agents, to help retrieve data insights by orchestrating across structured and unstructured datasets. Cortex Agents streamlines agentic application data access and orchestration for more reliable AI-driven decisions by building on top of enhancements to our Cortex AI retrieval services.

Guide to Data Pipeline Architecture for Data Analysts

Have you ever spent hours troubleshooting a failed ETL job only to realize the issue was due to poor pipeline design? If so, you're not alone. Data pipeline architecture is the backbone of any data integration process, ensuring data flows efficiently from source to destination while maintaining quality, accuracy, and speed.

How to Run an Automated CI/CD Workflow for ML Models with ClearML

If you are working with ML models, having a reliable CI/CD (Continuous Integration and Continuous Deployment) workflow isn’t just a nice-to-have, it’s essential. Your team needs a robust, automated process to validate data, train models, and deploy them without human error slowing things down. That’s where ClearML comes in, offering a seamless solution to orchestrate, monitor, and automate your ML pipelines.

Building High Throughput Apache Kafka Applications with Confluent and Provisioned Mode for AWS Lambda Event Source Mapping (ESM)

Confluent and AWS Lambda can be used to build scalable and real-time event-driven architectures (EDAs) that respond to specific business events. Confluent provides a streaming SaaS solution based on Apache Kafka and built on Kora: The Cloud-Native Engine for Apache Kafka, allowing you to focus on building event-driven applications without operating the underlying infrastructure.