Systems | Development | Analytics | API | Testing

How Qlik Is Powering Bystronic's GenAI Transformation

Some data problems are universal — like dealing with unstructured data. At Bystronic, a global leader in sheet metal processing, we have mountains of it. From technical documentation to sales decks, HR policies, and IT knowledge bases, data is scattered across folders, servers, and systems. Industry research shows that 80% of enterprise data is unstructured, meaning it’s often invisible to the teams that need it most. As a result, up to 68% of that data goes unused. The impact is real.

Confluent Cloud is now available in the new AWS Marketplace AI Agents and Tools category

Confluent announces the availability of Confluent Cloud in the new AI Agents and Tools category of AWS Marketplace. This enables AWS customers to easily discover, buy, and deploy AI agent solutions, including Confluent's fully managed data streaming platform Confluent Cloud, using their AWS accounts, for accelerating AI agent and agentic workflow development.

Using Playwright for Mobile Web Testing: Best Practices and Tips

Ever spend hours debugging mobile web tests only to have them fail in production? Join the club. What works flawlessly on your desktop can turn into a nightmare on mobile browsers. As mobile web usage continues to rise, ensuring your site performs well across all devices is more important than ever, driving the need for robust mobile testing solutions. But here’s the thing: Playwright for mobile web testing changes everything.

ZeroTrust for LLMs: Applying Security Principles Through DreamFactory's Gateway

The key to securing large language models (LLMs) lies in adopting a Zero‑Trust framework. This approach ensures that every interaction - whether from users, devices, or applications - is verified, authenticated, and authorized. With the rise of LLMs in enterprise environments, traditional security models no longer suffice. Here's how DreamFactory's Gateway helps implement Zero‑Trust principles effectively.

AI at Scale Needs Control: Inside ClearML's Resource Allocation Policy Manager

By Erez Schnaider, Technical Product Marketing Manager, ClearML AI engineering today goes far beyond simply training a model. Teams are fine-tuning large language models on high-end GPUs, running massive, distributed experiments, and orchestrating hybrid workflows spanning on-premises clusters, private and public clouds. With great power comes great responsibility, and with powerful hardware comes complexity. Without robust controls, things can quickly descend into costly chaos: Who’s using what?

From Checklists to Discovery: Leveraging AI and Embracing Curiosity in Testing | Kunal Ashar

This session explores the shift from structured checklists to a more dynamic, curiosity-driven approach in software testing. Attendees will learn how AI tools can enhance exploratory testing by supporting deeper requirement analysis, generating actionable insights, and streamlining the capture of questions, risks, and test ideas.

Cline Vs Cursor: Which Ai Coding Tool To Choose In 2025?

Choosing the appropriate development tool can either improve or inhibit your coding efficiency. Two tools that can confuse developers are Cline and Cursor because they are intended for different use cases in the software development lifecycle. Developer’s must understand the difference between Cline vs Cursor so that they can improve their workflow and select the appropriate tool for their project requirements.