Systems | Development | Analytics | API | Testing

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.

From Siloed Sensors to Smarter Predictions: Data AI Gateways in Industrial IoT

Manufacturers are drowning in data but struggling to use it effectively. Sensors on factory floors generate massive amounts of information - temperature, vibration, pressure - but much of it sits in isolated systems, creating "data silos." These silos prevent real-time decisions, predictive maintenance, and cost savings. The solution? Data AI Gateways. These gateways unify isolated sensors, process data locally with edge computing, and translate protocols to connect legacy equipment with modern systems.

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.

Vibe Coding: How To Code With Flow, Focus, And Fun

Coding isn’t just a chore anymore – it is an experience. With the rise and advancement of AI-driven coding tools, developers are now able to enjoy what Andrej Karpathy calls "vibe coding" – a state where we turn off our control and let the tools vibe with us. In this blog post we are going to discuss how we can tap into vibe coding to ship faster, feel creative, and stay in flow.

From Oracle to MongoDB: How to Modernize Your Tech Stack for Real-Time AI Decisioning

Playlists for every mood and occasion. Media recommendations grouped by the most niche theme from your watch history. Sophisticated ad algorithms that optimize pay-per-click ads for the customer experience. Whether you call them digital-native, disruptors, or just tech giants, the likes of Spotify, Netflix, and Amazon have long made uncannily personal experiences a key part of their differentiation or business models.

LLM Evaluation and Testing for Reliable AI Apps

As LLMs become central to AI-driven products like copilots and customer support chatbots, data science teams need to ensure the LLM performs well for the use case. The process of LLM evaluation ensures reliability, safety and performance in production AI systems. In this guide, we explore how to approach evaluations across development and production lifecycles, what frameworks to use, and how the integration between open-source MLRun and Evidently AI enables more scalable, structured testing.