Systems | Development | Analytics | API | Testing

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.

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.

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.

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.

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.

Your guide to fine-tuning Gradle memory allocations

No one starts their work day thinking “Let’s investigate the memory allocations of my Gradle build”, but sometimes life happens (usually at the worst possible time): Every Gradle project faces memory allocation problems eventually, as the codebase grows. So, instead of blindly applying JVM flags from Stack Overflow until it’s resolved, why not take a deeper look?

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.

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.

Optimizing IoT Protocols for Edge Microservices

Choosing the right IoT protocol for edge microservices can save energy, reduce latency, and improve efficiency. Here's a quick guide: MQTT: Lightweight and energy-efficient, ideal for resource-constrained devices. AMQP: Reliable and secure, great for mission-critical applications but resource-intensive. CoAP: Best for low-power, low-bandwidth devices with minimal energy needs. HTTP/REST: Widely compatible but consumes more energy and bandwidth.