Systems | Development | Analytics | API | Testing

Process Runner GLSU from insightsoftware provides a flexible, intuitive interface for SAP data entry and transaction posting directly from Microsoft Excel. Built by finance professionals for finance professionals, Process Runner GLSU streamlines financial operations, such as general ledger, accounts payable and accounts receivable.

Angles Enterprise for SAP from insightsoftware transforms and enhances your critical data from SAP ERP tools (including ECC and S/4HANA), turning it into actionable business insights. Angles puts the power of operational analytics and business intelligence into the hands of the people who need it most – business users.

Businesses must be prepared to transform their data architecture to keep up with the pace of the industry as long-standing ideas about operational efficiency and the customer experience have changed too. That’s especially true in the travel industry, an industry that generates and consumes tremendous amounts of data: think booking your flight, finding the best price of your hotel stay, etc.

Welcome to Episode 6 of The Innovation Blueprint! This time, we’re diving deep into the impact of AI, data, and digital tools on real estate investment and business scaling. Our guest? Sean Everett, CEO of Evergence — a company that helps executives and boards tackle tough scaling challenges through acquisition and innovation. With decades of experience leading AI-driven growth strategies for Fortune 500s, private equity, and high-growth startups, Sean has built products used by billions, attracted acquisition interest from Apple and Box, and driven explosive business growth.

Are AI tools really helping developers, or are they creating more problems than they solve? In this episode of Test Case Scenario, Jason Baum, Marcus Merrel, and Evelyn Coleman are joined by Titus Fortner, Senior Solutions Architect at Sauce Labs, to unpack the surprising findings from the latest DORA report. Together, they dive into the unexpected decline in productivity following AI adoption and discuss the challenges developers face in balancing automation, innovation, and collaboration.

AI was hyped as the big solution to developer productivity, but the 2024 DORA report paints a different picture. Here’s what’s holding teams back: Developers don’t need help writing code—they need time to write it. AI isn’t clearing their calendars of endless meetings. Tech debt and documentation remain roadblocks, and AI tools aren’t solving them. AI can assist, but it often acts like a junior dev—adding more work instead of reducing it.

In this engaging conversation, Derric Gilling, CEO of Moesif, and Kin Lane, the API Evangelist, explore the challenges and opportunities of API monetization and productization in today’s enterprise world. Kin shares insights on rising API costs, the shift toward efficiency, and the balance between openness and control—especially in an AI-driven landscape.

This is Mark Winteringham's take on exploratory testing. Do you agree with him? Check out more of his thoughts in the full podcast episode.

Join us for an insightful session in our Weekly Walkthrough series, "FinOps Metrics That Matter," where we delve into advanced strategies for optimizing costs and maximizing ROI in Databricks environments. In today's data-driven landscape, precise cost forecasting and management are crucial. Yet, a staggering 80% of data management experts struggle with this task (Forrester). The root causes? Lack of granular visibility, siloed data, and the absence of AI-driven predictive tools.

Data streaming shifts the focus from storing data to acting on it in real-time—Tim Berglund, Confluent’s VP of Developer Relations, breaks down how.