4 Best Practices to Reduce Test Failure Rates
What are your test failures really telling you? Here’s how to reduce the noise in your test failure rates so you can identify the critical issues that need your attention most.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
The Cost of Data Privacy Negligence (And How to Avoid It)
Neglecting data privacy in your business is like forgetting to lock your house doors and then leaving the country to enjoy your holidays. Sooner or later, someone will take advantage and break in. Similarly, if your business collects, stores, and analyzes customer data on a daily basis but neglects data privacy and security, you’re immediately exposed to several risks and large legal penalties. And in the process, you’ll experience financial loss and lose the trust of your customers.
Supercharging Data Lakes: GenAI & Snowflake Advantage
In today’s GenAI-driven world, having the right data foundation is essential to unlock the full potential of AI. Traditional on-premise data lakes often fall short in scalability and agility, while even many cloud-based solutions struggle with reliability, performance, and governance. Join Ruchi Soni in this webinar to explore how Snowflake is democratizing access to data and intelligence with AI and large language models (LLMs).
Expert Advice on Integrating APIs with Legacy Systems in 2025
Application programming interfaces (API) play a critical role in the digital ecosystem. This online middleman allows software systems to communicate with each other. But what is it exactly, and how does it work? Case in point: When you use an app to check the weather today, the API pulls data from the weather service and shows you the information on your device.
AI Regulation: More an Adoption Accelerator Than a Brake
The emergence and growing adoption of generative AI and the agreement to and implementation of the EU AI Act uncannily coincided. These two factors have catalyzed an AI renaissance within many enterprises. Yes, companies were already applying AI here and there across their organizations — but responding to the impact of these two exogenous forces required a whole new way of thinking and doing. All of a sudden, all eyes were on AI.
AI Alone Won't Improve Productivity or Velocity
AI tools promise to revolutionize everything, but are they making us smarter or lazier? Here are the questions I still have about the real impact of AI in development. Are teams using AI to augment their work or replace themselves entirely? Process and social change are a no-brainer, but are we keeping up? Are we adapting or coasting? And the big question: As AI gets smarter, are we dumbing ourselves down, losing our grip on what it means to understand?
Deploying Kong Mesh with Konnect on AWS ECS
The focus of this blog is to provide step-by-step instructions for deploying and configuring Kong Mesh with Kong Konnect on an AWS ECS instance so that anyone will be able to get pre-production installation of Kong Mesh standing up on their own.
Why does everyone seem to equate AI with generative AI these days? #AI #TechTrends #Xray
AI is so much more than that—it spans numerous fields, from machine learning to predictive analytics, computer vision, natural language processing, and beyond. Are we narrowing the conversation too much? Check out the full episode for more insights.
This is NOT ETL - THIS is Qlik Data Flow!
Learn more and see an example use case here.
Appian as the Agility Layer for your ERP
In government agencies around the world, large enterprise legacy systems are what stand in the way of desperately needed modernization programs. Such legacy systems can be large enterprise resource planning (ERP) implementations or custom-built applications using complex codebases. Simply put, they are not supportable, upgradable, and do not provide the rich user experience customers have become accustomed to.