Systems | Development | Analytics | API | Testing

katalon

Compliance & Audit in Agentic Systems - Testing for Safety, Ethics, and Traceability

Sep 5, 2025 By Katalon In Katalon
Agentic AI systems don’t just need to work — they need to be explainable, traceable, and auditable. In regulated environments like banking or healthcare, it’s not enough to pass test cases. You must prove what the AI did, why it did it, and whether it stayed within policy. One company’s AI assistant began recommending high-risk financial products to sensitive users — and no one knew when it started or why. The fix?
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dreamfactory

Synthetic Data Pipelines and the Future of AI Training

Sep 5, 2025 By Kevin McGahey In DreamFactory
Synthetic data pipelines are reshaping how AI models are trained. They generate artificial datasets that mimic real-world patterns, solving challenges like data scarcity, privacy concerns, and bias in training data. These automated systems streamline the entire process, from data creation to integration, offering faster and more scalable solutions compared to traditional methods.
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InsightSoftware

Why Pixel Perfect Reporting Is Critical for Enterprise Operations (And How to Scale It)

Sep 5, 2025 By InsightSoftware In InsightSoftware
After spending hours perfecting your BI dashboard, you export a report only to watch headers shift, page breaks split tables, and logos resize unpredictably. What should take minutes becomes hours of manual reformatting before documents meet compliance standards. This repeats daily across enterprises. Modern BI platforms optimize for responsive dashboards that adapt to screens, but operational documents require absolute precision.
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alphabin

AI Prompt Testing in 2025: Tools, Methods & Best Practices

Sep 5, 2025 By Pratik Patel In Alphabin
Imagine this: your chatbot responds to an angry customer with sarcasm, or your language model suggests different prompts for your competitor. These aren’t just minor errors; they can break customer trust, damage your brand, and cost you big. That’s why the testing process of Prompt Testing has become a must-have in modern AI development. It’s not just about making prompts sound good; it’s about making sure the responses are accurate, safe, ethical, and on brand.
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A Seismic Shift: The Largest Fintech Migration in History

Sep 5, 2025 By Snowflake Inc. In Snowflake
Learn how PayPal optimized customer experience and exceeded SLAs at scale by modernizing its data infrastructure and analytics. In this session recorded at Summit 2025, you'll discover how the company consolidated disparate data sources into Snowflake, leveraging Iceberg for future platform flexibility, and centralized back-office analytics and ETL processes for efficiency. See how it delivers near real-time insights and reconciliation to clients, architects applications for global scalability, and explores future developments, such as ML for business outcome prediction and generative AI for dynamic network adaptation.
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Maximize development efficiency with expert CI/CD strategies: Droidcon talk highlights 2025

Sep 5, 2025 By Bitrise In Bitrise
Faster builds = faster releases. In this highlight reel from Droidcon NYC 2025, Bitrise Solutions Architect Naveen Nazimudeen shows how build cache magic, smart parallelization, and a sprinkle of CI/CD tweaks can slash Android build times (and developer frustration). Speaker: Naveen Nazimudeen Event: droidcon NYC 2025.
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keploy

Understanding Sanity Testing: A Practical Guide For Modern Development

Sep 5, 2025 By Falak Bhati In Keploy
Even the smallest code changes can carry hidden risks. A minor bug fix may end up breaking a completely different part of the project. That’s where sanity testing comes in. It provides teams a quick, focused approach to ensure that recent changes didn’t introduce new problems. In this blog, we will outline what sanity testing is, when it is used, how it is accomplished, and why it is important when working in fast-moving development cycles.
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speedscale

Considerations for Testing gRPC Streams

Sep 4, 2025 By Kush Mansingh In Speedscale
If you’ve spent any time building cloud-native systems, you’ve probably tripped over the tricky beast that is gRPC streaming. It’s powerful, flexible, and feels like magic when it works. But the minute you need to test it? Suddenly, you’re in “hold my coffee, I need a week” territory. One of the most common places we see gRPC streams in the wild is when clients connect to asynchronous message buses like Google Pub/Sub.
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keboola

Opportunities And Challenges When Using LLMs In The Data Space

Sep 4, 2025 By Keboola In Keboola
Large Language Models (LLMs) are transforming how organizations interact with their data infrastructure, offering unprecedented capabilities for both technical and business users. However, this transformation brings unique opportunities and challenges that vary significantly based on user personas, security requirements, and implementation approaches. This writeup explores these dimensions through the lens of practical implementation using tools like Keboola MCP and various client interfaces.
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