Systems | Development | Analytics | API | Testing

Spreadsheet Server Demo: Excel-Native Financial Reporting With Live ERP Data

See how Spreadsheet Server transforms financial reporting by connecting live ERP data directly to Excel. Designed specifically for finance professionals, it eliminates manual copy-paste cycles while providing AI-powered insights, operational reporting beyond the General Ledger, and automated report distribution. Create sophisticated, refreshable financial reports using the Excel skills you already have.

End Data Disparity | Building Partnerships To Drive Change

In this premiere episode from the new "End Data Disparity" video series, host Ryan Green chats with Benoit Dageville, Snowflake Co-founder and President of Product, about the challenge of addressing the problem of global data inequalities. The discussion kicks off with information about the cross-sector advisory board Snowflake is establishing to drive the development of collaborative solutions. They also discuss such topics as the role AI will play in improving ESG data quality, which promises to positively impact ESG monitoring and reporting.

How to Debug Agentic AI: From Failed Output to Root Cause

In traditional QA, debugging means tracing a failed test step to a broken function, a missed config, or bad data. There's usually a clear defect, a fixable cause, and a predictable outcome. But in agentic AI systems where outputs are shaped by language, memory, tool use, and learned behavior failure is rarely that clean. Instead, it looks like: If Blog 4 taught us how to design tests that stress these systems, this blog is about what to do when those tests fail.

9 Test Automation Best Practices for Browser Testing

Whether you’re new to test automation or you’ve been utilizing it to save time for years, here’s our best advice for maximizing your automation testing productivity and avoiding mistakes. Automated testing entails much more than simply creating tests and enabling them. A “set it and forget it” approach won’t get you very far with automated tests — particularly automated browser tests, which interact with the ever-changing frontend of your application or website.

The Complete Guide To Low Code Automation: Everything You Need To Know

Low code automation promises to be more palatable and less time-consuming. There is a wide range of technology options for low code automation; as more "no code" tools become available, and more tools that claim to be "low-code" are rolling out on the market, it is rational for developers to become worried in terms of productivity deficiencies, overtime costs, and the costs borne by consumers if downtime occurs.

Test Automation 2030: Rethinking Test-Pyramid Strategies For The AI-Era

Manual testing can’t keep up with today’s fast-moving, AI-powered software development. Test automation isn’t just about saving time-it’s about surviving in a landscape where releases happen daily and bugs can cost millions. Now since AI-generated code is increasing, quality control and ownership becomes more important. From the classic Testing Pyramid to modern takes like the Honeycomb and Trophy, automation strategies are evolving fast.

Regression Analysis: The Key To Smarter, Data-Driven Decisions

In the age of data, numbers have to be meaningful in a bid to inform intelligent choices. Regression analysis is a great statistical tool utilized to reveal the interconnectedness among variables. From forecasting sales to having knowledge of medical outcomes, it converts raw data into practical knowledge. It assist businesses and researchers in accurately estimating, identifying inefficiencies, and benefiting from improved outcomes.

The Digital Imperative: Why Cloud Audits Are Crucial in 2025

As more businesses embrace cloud computing, a very important question comes up: how can we make sure that our digital assets are safe, efficient, and compliant in a dynamic, multi-tenant environment? Even though cloud providers offer strong security, the shared responsibility model puts a lot of pressure on enterprises to keep track of their own data and programs. This is when cloud auditing becomes very important.