Systems | Development | Analytics | API | Testing

Perfecto AI: Retail Discount Verification Demo

Perfecto AI: Retail Discount Verification Demo Discover how Perfecto AI, powered by Perforce Intelligence, transforms test automation for complex shopping app workflows. From launching a shopping app to logging in and verifying that promotional discounts are correctly applied, Perfecto AI handles it all with precision and efficiency. Say goodbye to brittle scripts and hard-coded tests that become obsolete with every UI or business logic update.

Perfecto AI: Flight Booking Demo - Japanese Site with Seat Selection

Perfecto AI: Flight Booking Demo – Japanese Site with Seat Selection This video showcases how Perfecto AI, powered by Perforce Intelligence, revolutionizes test automation for multilingual and dynamic environments. Experience the seamless automation of complex workflows like opening a flight search site in Japanese, selecting destinations, validating dates, completing the booking flow, and even choosing specific seats from a seat map. Perfecto AI eliminates the need for brittle scripts, OCR processes, and element tagging.

How Yellowfin Helps Anyone Build Data Stories with AI

Stories are how humans make sense of complexity. We remember cause and effect, not pie charts. We respond to tension, not tooltips. And yet, in most businesses, “data storytelling” still means downloading a CSV, sending screenshots in Slack, or fumbling through a slide deck minutes before the meeting. The promise was beautiful. Democratize data. Make every decision backed by fact, not gut. Put analytics in the hands of the many, not the few.

Accelerating Model Context Protocol (MCP) Journey with SmartBear API Hub

In the evolving landscape of AI applications, the Model Context Protocol (MCP) emerges as a pivotal standard, facilitating seamless integration between large language models (LLMs) and external tools, data sources, and services. By standardizing these interactions, MCP enables AI systems to perform complex tasks with enhanced context and precision. To harness the full potential of MCP, developers require robust tools that ensure reliability, scalability, and efficiency.

Modernizing legacy data architectures for the AI era with CarGurus

In this episode, Parag Shah — data leader and transformation expert with experience at Rocket Software and CarGurus — shares how forward-thinking enterprises are modernizing their data infrastructure with unified analytics platforms, best-in-class vendors like Fivetran and Snowflake, and extensible tools like the Fivetran Connector SDK.

Ep 34 | If You're Not Managing Your Data, You're Not Managing Your AI with Jim Liddle

Jim Liddle, Chief Innovation Officer of Data Intelligence and AI at Nasuni, joins The AI Forecast to spotlight a critical obstacle to enterprise AI: messy, ungoverned data. He and host Paul Muller trace the evolution of data management and unpack why so many organizations still struggle with the basics, starting with the challenge of taming unstructured information.

Speeding up AI Coding Assistants using Deterministic Feedback

AI coding assistants are transforming the way developers approach software development by automating routine tasks and enhancing code quality. These tools leverage artificial intelligence and machine learning to provide real-time code suggestions, auto-complete functions, and even debug existing code, making the development process faster and more accurate.

ClearML Enterprise 3.26 Is Here: Static Routes, NIM Deployment, SGLang Support, and More

ClearML Enterprise v3.26 brings powerful upgrades across model deployment, NIMs container deployment, and dataset management – all part of our end-to-end platform for managing and scaling AI in the enterprise.

DIY LLM Chatbot? 5 Reasons to Think Twice and Embrace DreamFactory's MCP

Large Language Models (LLMs) like ChatGPT and Claude have revolutionized how we think about business automation and conversational interfaces. So it’s no surprise that many organizations are considering building their own LLM-powered chatbot. But here’s the truth: creating a secure, scalable, and intelligent chatbot from scratch is harder than it looks.