Systems | Development | Analytics | API | Testing

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 Snowflake 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.

AI was seen as a potential means to revolutionize developer productivity, but the 2024 DORA report tells a different story. Here’s the reality developers are facing: Tech debt and documentation remain massive blockers, and AI tools aren’t fixing them. Endless meetings leave no time to code, and AI can’t clear your calendar. AI tools? Useful but unreliable, like a junior dev that needs constant oversight.

This month's edition of the Snow Report features insights from venture capitalists on starting an AI business in 2025. It also includes new product announcements, such as the integration of Anthropic's Claude 3.5 Sonnet into Cortex AI, as well customer stories, technical tips, and info on upcoming events.

Process Runner from insightsoftware turns Microsoft Excel into your SAP data management cockpit with little to no code transaction automation, powerful data management, and flexible workflow features. It automates data upload/download for any SAP module.

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.