Explainable AI (XAI) lifts the veil on machine learning in recruiting, showing why candidates get scored or rejected — like skills mismatches or low experience.
Learn how to create an AI assistant with LangChain4j in a Spring Boot application, which personalizes the application itself and has access to its actuators.
Learn about a metadata-driven approach to generate metrics with dynamic SQL, enhancing scalability, flexibility, and efficiency in auditing and reporting.
InfiniRetri retrieves information internally using LLM attention, while RAG retrieves it externally. The future may lie in hybrid approaches combining both strengths.
Learn about Infrastructure as Code (IaC) predictions for 2025, from AI-driven drift management to cost optimization, platform engineering, and multi-framework trends.
Switch to event-driven architecture for resilient microservices, which includes event sourcing, CQRS, decoupling services, and robust failure handling.
Modern QA approaches help business processes by improving operational efficiency through early defect detection, broader test coverage, and enhanced software stability.
Ensure data quality in pipelines with Great Expectations. Learn to integrate with Databricks, validate data, and automate checks for reliable datasets.
Jakarta NoSQL 1.0 standardizes NoSQL integration in Java with familiar annotations, a fluent API, and support for multiple NoSQL types—boosting productivity, portability.
This is the second article in the “Lakehouse: What’s the Big Deal?” series, where I will periodically discuss Lakehouse. Your comments and discussions are welcome.
Integrate Ansible with Kafka for real-time automation: trigger playbooks via Kafka events, enhance incident response, optimize workflows, and scale seamlessly.