Systems | Development | Analytics | API | Testing

confluent

Why Real-Time Stream Processing Beats Batch ETL for AI Data Freshness in 2026

May 5, 2026 By Manveer Chawla In Confluent
AI has evolved fast. We've gone from static, predictive models to dynamic, interactive agents. But most organizations still run data pipelines that haven't kept up. Consider what’s happening in modern AI architecture. Teams deploy high-performance engines like large language models (LLMs) and real-time fraud detectors, then feed them data that's hours or days old.
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confluent

Integrating AI Into Apache Kafka Architectures: Patterns and Best Practices

May 5, 2026 By Manveer Chawla In Confluent
Adding large language models (LLMs) and artificial intelligence (AI) to real-time event streams comes down to one thing: picking the right boundary between data transport and model compute. Where you run inference determines your system's resilience, latency, and cost. This article is for data engineers, streaming architects, and developers who want to add AI capabilities to their Apache Kafka event backbone without destabilizing production consumer groups or blowing through API rate limits.
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InsightSoftware

How to Connect Power BI to Amazon DataZone (Without a JDBC Bridge)

May 5, 2026 By InsightSoftware In InsightSoftware
Amazon DataZone is a powerful data management service that lets teams catalog, discover, and govern data across AWS environments. But when it comes to connecting your BI tools, options are limited. Data teams trying to connect Power BI to Amazon Datazone often hit the same wall when every guide, forum thread, and AWS doc points you toward a JDBC bridge or driver. However, Power BI doesn’t speak JDBC natively, which quietly costs data teams time, stability, and patience.
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New Zephyr Skills for Rovo: AI-powered test management in Jira | Zephyr

May 5, 2026 By SmartBear In SmartBear
Release day shouldn't mean chasing answers across Jira. SmartBear Zephyr is the Jira-native testing system of record that empowers your team to deliver better software, faster. In this demo, see how Zephyr Skills for Rovo bring test management and automation insights directly into Jira. Connect planning, testing, and delivery in a single, unified workflow within the Atlassian system of work so your team can make faster, more confident release decisions.
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AI post-training: Finetuning using PEFT and DPO on Cloudera AMP

May 5, 2026 By Cloudera, Inc. In Cloudera
Post-training is rapidly becoming a critical phase of enterprise AI development. To get reliable output from an AI model, organizations must align its terminology (e.g., abbreviation) to fit their specific use cases. But getting started shouldn't require heavy computing resources—you can quickly train an open-source model right on your local device. In this tutorial, we sit down with the ASAP_DPO_Finetuning Cloudera AMP to demonstrate exactly how to align a language model to specific industry standards—in this case, Oil & Gas abbreviations.
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How to Make the Most of AI Tools for Modernization

May 5, 2026 By Perforce In Perforce
AI tools promise speed — but what does AI modernization actually mean in practice? In this video, learn how the best AI tools can accelerate application modernization without increasing risk. We cover how AI tools analyze large legacy codebases, support refactoring, and speed up modernization—when paired with expert human oversight. You’ll learn: Whether you’re exploring AI tools or already modernizing, this video shows how combining AI acceleration with experienced engineers leads to better outcomes.
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bugfender

PHP Debugging: How to Find and Fix PHP Errors

May 5, 2026 By Aleix Ventayol In Bugfender
PHP applications are often tricky to debug. A combination of loose typing, complex logic and a lack of runtime visibility can make it hard to catch errors before they reach our users. But if you’re using PHP, there’s no need to stress. This guide will equip you to understand why PHP applications break, return the wrong data or behave differently across environments. We’ll cover logs, runtime checks, Xdebug, IDE tools, request debugging, and production visibility.
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perforce

Establishing a Multicloud Data Strategy for the AI Era

May 5, 2026 By Perforce In Perforce
In my experience working with enterprise leaders, the journey to the cloud rarely follows a straight line. Many organizations set ambitious goals to move all operations to the cloud. They quickly find that certain legacy systems must remain on-premises. This reality results in a complex, hybrid multicloud environment. That means they need to adopt a new strategy for managing test data.
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