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appian

Proving the Value of AI-Driven Automation for Banking Ops

Sep 8, 2025 By Tom Pirone In Appian
Financial institutions face growing operational demands in an environment defined by regulatory complexity, legacy system inertia, and the rapid evolution of customer expectations. At the same time, IT leaders are under pressure to not only maintain infrastructure but also demonstrate value to their operations counterparts. The opportunity is clear: use technology to drive operational agility without disrupting existing systems. This is where Appian excels.
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WSO2

Platform Engineering is DEAD! Long Live Platform Engineers!

Sep 8, 2025 By Lakmal Warusawithana In WSO2
At least, the old version of it, the painstaking, build-it-all-yourself, duct-tape-and-dashboards era. If you’ve been around long enough, you’ve seen this movie before. Remember when system engineers were the backbone of IT? Then AWS came along, and in a matter of years, many system engineers evolved into cloud engineers, shifting from racking servers to designing scalable cloud architectures. The role didn’t disappear. It transformed.
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keploy

A Complete Guide To End-To-End Testing With Keploy

Sep 8, 2025 By Vrushali Kudande In Keploy
Suppose you were to roll out a release that works perfectly well until the payment fail point. Even though they cause the most disruption, unit and integration tests are occasionally incapable of detecting these issues. End-to-end (E2E) testing in software testing prevents this by confirming entire user journeys and ensuring all its components work together.
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keploy

Typescript Vs Javascript : Choosing The Right One

Sep 8, 2025 By Amaan Bhati In Keploy
When I first started building websites in 2021, the decision to use JavaScript was an easy one – it was strong, well-documented, had a good community and seemed straightforward. I can recall many late nights debugging runtime errors that could’ve easily been picked up at compile-time, grappling with type coercion, and losing my mind trying to make consistent decisions in with large and growing code bases.
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DreamFactory + Claude Code can build bespoke MCP Servers on your data

Sep 8, 2025 By DreamFactory Software In DreamFactory
In this video, Terence demos how combining DreamFactory's MCP server and Claude code you can securely expose your data schema and allow Claude code to then generate bespoke MCP servers based on your data. This allows you to get the upside of using AI code editors like Claude Code while keeping your data secure.
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Spreadsheet Server Demo: Excel-Native Financial Reporting With Live ERP Data

Sep 8, 2025 By insightsoftware In InsightSoftware
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.
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End Data Disparity | Building Partnerships To Drive Change

Sep 8, 2025 By Snowflake Inc. In Snowflake
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.
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katalon

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

Sep 8, 2025 By Katalon In Katalon
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.
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