The enterprise data infrastructure benchmark report 2026
A global benchmark of enterprise data integration spend and its impact on AI readiness and ROI.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Sauce AI for Insights Now Delivers Automated Test Diagnostics
Sauce AI for Insights now includes automated test diagnostics— a capability that provides job-level root cause analysis directly within the platform.
Ep 66 | Women Leaders in Technology: AI Agents Are Your New Team- Now What?
From econometrics to anthropology to leading roles at Salesforce, AWS, and Nextdoor, Tatyana shares how her background shaped a fundamentally different approach to leadership. Drawing on her unconventional journey, she explains why agentic AI is forcing leaders to rethink how they manage technology, shifting from systems to a focus on teams, culture, and governance. Together, Tatyana and Paul share their perspectives on.
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.
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.
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.
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.
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.
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.
The LiteLLM Supply Chain Attack: A Complete Technical Breakdown of What Happened, Who Is Affected, and What Comes Next
In March 2026, security researcher isfinne discovered that LiteLLM version 1.82.8—the most popular open-source LLM proxy in the Python ecosystem, with approximately 97 million monthly downloads—contained credential-stealing malware published to PyPI. Within hours, version 1.82.7 was confirmed to carry a similar payload through a different injection method.