Systems | Development | Analytics | API | Testing

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.

Accessing accurate and timely financial data is crucial for today's finance professionals. Yet many organizations are held back by siloed systems and outdated processes. How do you solve these challenges? Meet Report Center, a new feature of Jet Reports online from Insight Software. Report Center is a secure cloud based portal for seamless collaboration and management of Business Central Cloud Reports.

Real-time data streaming is shaking up everything we know about modern data systems. If you’re ready to dive in but unsure where to begin, no worries. That’s why we’re here. Our first episode breaks down the basics of data streaming—from what it is, to its pivotal role in processing and transferring data in a fast-paced digital environment. Your guide is Tim Berglund, VP of Developer Relations at Confluent, where he and his team work to make data streaming data and its emerging toolset accessible to all developers.

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.