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IoT Implementation For Small Businesses: How To Get Started

The Internet of Things (IoT) is reshaping how businesses operate, and it's not just for tech giants or large-scale manufacturers. Small businesses now have access to affordable, scalable IoT solutions that can open new doors to smarter decision-making and improved customer experiences. Adopting IoT can feel unfamiliar at first, especially when you're juggling daily operations with limited resources. But with the right approach, it can become a powerful tool for growth, offering better control over your business and unlocking valuable data-driven insights.

Best VPS for Machine Learning

When it comes to machine learning, choosing the right Virtual Private Server (VPS) can significantly impact your project's performance, scalability, and cost-effectiveness. A VPS provides dedicated resources that can handle the intensive computational tasks associated with training machine learning models. Here, we explore the best cheap GPU VPS options for machine learning, highlighting the importance of GPUs and introducing Cloudzy as a leading choice.

IoT Advances in Automotive Monitoring and Maintenance

The Internet of Things (IoT) has become inseparable from the automotive industry, especially the monitoring and maintenance divisions. Innovations like sensor technologies and advanced analytics have transformed cars and trucks into more connected vehicles. Here's a guide on IoT advancements and what to expect in the future.

How To Prevent Dust Destroying Your Computer Hardware

Dust is one of the biggest killers of computer hardware. It clogs fans and vents, causing computer components like CPUs and GPUs to overheat. It can even accumulate on circuit boards, creating conductive pathways that cause electrical shorts. All in all, it can shorten the lifespan of your hardware - which is why you need to fight back against dust!

4 Tips for Developing Model Context Protocol Server

The Model Context Protocol (MCP) is rapidly becoming the connective tissue for agentic AI systems and IDE tooling. Whether you’re building a dev tool that integrates with LLMs or enabling a context-aware API backend, standing up an MCP server is a rite of passage. But MCP is still in its early days and there are some sharp edges. Here are four practical shortcuts to fast-track your MCP server development so you can skip the boilerplate and get to the good stuff: intelligent tooling.

OpenTelemetry for AI Systems: Implementation Guide

AI systems, from machine learning models to Large Language Models (LLMs) and autonomous AI agents, introduce unique observability challenges. Their non-deterministic nature, complex dependencies, and specialized performance characteristics require thoughtful instrumentation approaches. OpenTelemetry has emerged as the leading standard for implementing observability across these systems.

What is an AI agent? A plain-English guide we wrote for ourselves (and you).

AI agents are everywhere in the headlines—and yet no one seems to agree on what they actually are. Ask five companies what it means, and you’ll get five different answers: So yeah—no wonder people are confused. At the highest level, everyone agrees on this: AI agents are systems designed to act on behalf of a user. But that’s where the agreement ends. The big differences come down to how independent they are, how intelligent they really seem, and what kind of work they can do.

COREDUMP #006: Pebble's Code is Free: 3 Former Pebble Engineers Discuss Why It's Important (PT. 2/2)

In today’s Coredump Session, the team reunites to unpack the behind-the-scenes lessons from their time building firmware at Pebble. This episode dives into the risks, decisions, and sheer grit behind a near-disastrous OTA update—and the ingenious hack that saved a million smartwatches. It’s a candid look at the intersection of rapid development, firmware stability, and real-world consequences.

What is Agentic AI? Understanding the Next Evolution of AI

In the ever-evolving world of artificial intelligence, a new frontier is emerging—Agentic AI. This revolutionary concept goes beyond the traditional models of AI that we’ve grown accustomed to. Instead of simply following explicit instructions, agentic AI systems are designed to act autonomously, make decisions, and adapt dynamically. In other words, they can “think” independently to achieve specific goals.

Leveraging AI for enhanced network monitoring in finance

What’s the cost of a slow network if you are working in financial circles? A one-second delay in trade execution can mean millions in lost revenue. A lag in payment processing? That’s frustrated customers raising thousands of support tickets that your team would struggle to handle and potential compliance fines. For CIOs, CTOs, and IT leaders in financial services, keeping networks up and running is a business imperative.