Stefano Puntoni on the Missing Piece in AI Strategy: Humans | The Data Chief
95% of AI projects fail. Is your "tech-first" mindset to blame? @wharton’s Stefano Puntoni breaks down the Human-AI gap with podcast host Cindi Howson on.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Connecting On-Premises LLMs to Enterprise Databases and APIs | DreamFactory
As organizations increasingly recognize the value of generative artificial intelligence, many are moving away from cloud hosted models in favor of on premises Large Language Models. This shift is primarily driven by the need to protect sensitive corporate data, maintain regulatory compliance, and reduce latency. However, an isolated local model offers limited utility. To truly unlock the potential of an on premises LLM, enterprises must connect it to their internal databases and APIs.
XPath vs CSS Selectors in Katalon: Write Stable Locators
Robust test automation in Katalon Studio starts with stable test objects. Flaky tests almost always trace back to one root cause: brittle locators that break the moment the UI changes. The best approach is to use unique, static attributes like id or custom data-qa attributes. When those aren't available, CSS and XPath are your tools. This post covers how to write each type of selector, when to choose one over the other, and how to handle dynamic attributes using contains() and starts-with(). At a glance.
Virtuos on Co-Dev, Custom Tools, and Staying Ahead of Performance Problems
In this episode, Jase chats with Marios Michaelides, Engineering Director at Virtuos Labs, one of the largest co-developers in the world. Marios shares hard-won lessons from working across multiple AAA projects—and reveals how his team built tools to prevent the performance disasters that derail schedules and burn out developers. Here's what you'll learn: Why co-developers are building more tools than ever before—and how proprietary-to-commercial engine migrations are driving this shift.
Stop AI Hallucinations at the Source | Simba Intelligence
AI isn't failing because the models are weak. It's failing because the data beneath them is broken. 88% of AI pilots never make it to production. 74% of companies haven't seen value from AI. The uncomfortable truth? These failures aren't about intelligence—they're about access, governance, and context.
Why Node.js Upgrades Are Still Hard - And How OpenJS + NodeSource Are Addressing It
In today’s ecosystem, building with Node.js is not just about writing code. It’s about running systems that are reliable, secure, and able to evolve over time. That’s where collaboration at the foundation level becomes critical. At NodeSource, working closely with the OpenJS Foundation is not just a partnership. It’s a commitment to the long-term health, security, and evolution of the Node.js ecosystem.
In case you missed it | Meet Smartbear BearQ + application integrity
Missed the live event? Here’s a quick look at what we unveiled. AI has fundamentally changed how applications are built, creating a growing gap between development velocity and your ability to validate what’s being built. That’s why SmartBear delivers application integrity for the AI era – ensuring continuous, measurable assurance that your software just works as intended, with governance to operate at AI speed and scale.
A Wharton AI Research Leader's Formula for Responsible AI
Learn why scaling AI is as much a human challenge as it is a technological one. Stefano Puntoni, Co-Director of Wharton Human-AI Research and Professor at The Wharton School, examines the limits of data-driven decision making in the age of AI and why insights so often fail to translate into action. He breaks down the psychology behind AI resistance and outlines the leadership and change management strategies needed to turn AI potential into real organizational impact.
From Fear to Adoption: Stefano Puntoni on Fixing AI in the Workplace | The Data Chief
Is AI a tool or a threat? Wharton Professor Stefano Puntoni explains why "self-preservation mode" is killing AI adoption in the workplace. Puntoni joins Cindi Howson (The Data Chief host) & breaks down why AI isn't a strategy—it's a tool that requires a "meet in the middle" approach. To succeed, leaders must provide the vision and resources, while empowering workers to co-create the roadmap.
Why we built vision AI into TestComplete: Solving the complex app testing challenge
When we talk to testing teams at enterprise organizations, we hear the same frustrations repeatedly: “Our automation breaks every time the UI changes.” “We can’t test this application because it doesn’t expose accessible properties.” “We spend more time maintaining tests than creating new ones.” These scenarios block test automation adoption for teams that need it most.