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.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Cloudera Private AI: Bring AI to Your Data Anywhere #AI #Tech #Shorts
Are your AI initiatives stuck in pilot mode? Siloed data, disconnected tools, and compliance a constant headache? Sending sensitive data to the cloud for model training is a non-starter, especially for regulated industries. Cloudera AI changes the game. Cloudera is the only data and AI platform that delivers the secure cloud experience anywhere—public clouds, data centers, and the edge. We provide the foundation you need for real AI, real scale, and real business impact—without ever giving up control.
AI Transport in action: resumable streaming, multi-device sync, and more
How do you deliver token streams, sync conversation state across devices, and let users interrupt an agent mid-response -- without rebuilding your stack every time you switch frameworks? Mike Christensen demonstrates Ably AI Transport in action, walking through the key primitives every production AI application needs and showcasing a multi-agent holiday planning app built on those primitives. Topics covered.
Shipping Without Fear: AI Continuous Quality, Real Device Access API & Crash Reporting for Games
Supercharge Your Game Testing: Real Devices, Real Performance, Real Results Join Mac Clark and Omer Büyükoglu from Sauce Labs as they showcase the latest gaming-focused innovations across the Sauce Labs continuous quality platform.
Hot Sauce Releases - Sauce AI for Test Authoring Demo + Test Suites, Scheduling, & Scale
What if your engineers could stop writing test scripts — and start shipping faster? Manual test scripting and maintenance consume nearly 30% of engineering time — that's close to four months per engineer, every year. Sauce AI for Test Authoring is here to change that. In this session, Marija Stupar and Carlos Carvajal unveil an AI-powered agent that eliminates the bottleneck of brittle locators, broken scripts, and endless repair cycles slowing down your CI/CD pipeline.
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.
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.