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Scaling Agentic AI: Impact of Model Context (MCP) and Agentic (A2A) protocols
This post outlines the development of agentic solutions, which are autonomous systems designed to respond to environmental stimuli. These systems are increasingly being utilized in various sectors such as banking, supply chain and travel, where decisions are progressively made with minimal human intervention. The focus is on two key methodologies: Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication, both of which are crucial for creating adaptable and efficient agentic systems.
AI at Work: Streamlining Warehouse Operations with Automated Label Scanning
WWT piloted a custom AI-powered label scanning system to streamline warehouse receiving operations. By combining edge computing, multimodal models and real-time system integration, the solution significantly reduced manual processing time and improved accuracy. Built in-house to meet specific operational needs, the system offers a scalable, cost-effective path to modernizing warehouse workflows and enhancing overall supply chain performance.
From Robots to Personalization: Three Tech Trends Redefining the QSR Experience
Learn how AI, robotics and data are shaping the future of fast food.
The Future of High Performance Networking: Ultra Ethernet Explained
This article provides an overview of the Ultra Ethernet specification and its features, and is intended to provide an understanding of what is changing and why.
Model Context Protocol (MCP) - A Deep Dive
A deep technical dive into the specifics of how Model Context Protocol (MCP) works, how it relates to previous agentic systems and what the business implications are.
Unlocking the Power of AI Coding Assistants
AI coding assistants are transforming software development by boosting productivity, enhancing code quality and facilitating continuous learning. These tools not only automate repetitive tasks but also provide insightful guidance, enabling developers to work smarter and more creatively. Embrace the future of coding, powered by AI, for better software and happier developers.
Accelerating Value with Glean: How professional services enhance your experience
This post discusses how WWT's services teams can help organizations maximize productivity and value from the Glean AI-powered platform.
Powering Productivity: How WWT & Glean Are Revolutionizing Enterprise Search
Rapid digital transformation presents both opportunities and challenges. WWT and Glean's AI-driven enterprise search solutions enhance productivity, efficiency and decision-making. Organizations can unlock their full potential by integrating intelligent search, automation and knowledge discovery. Contact WWT to revolutionize your enterprise knowledge management.
Agentic AI Sounds New — But Haven't We Been Doing This Already?
Agentic AI is becoming a hot topic in the world of artificial intelligence, showing up in discussions about business transformation and automation. Many business leaders are asking: How is Agentic AI different from traditional AI? And do I really need it?
The Imperative for Intelligent Asset Management in the Digital Era
In today's digital age, effective management of critical assets is paramount. Traditional methods fall short, leaving businesses vulnerable to risks. This article presents a seven-step framework for intelligent asset management, with WWT IT Asset Management consulting at its core. Powered by AI and machine learning, WWT revolutionizes asset management, integrating data, enabling real-time tracking and automating workflows.
Unlocking Seamless Digital Workspaces: How AIOps and DEM Work Together
As IT environments continue to grow in scale and complexity, relying on manual operations just doesn't cut it anymore. Advancements in technologies like AI and ML have led to the rise of AIOps and Digital Experience Monitoring (DEM) — solutions that extend the power of IT Operations Management (ITOM) to drive deeper insights and smarter automation.
Before we discuss how these two are connected, let's take a closer look at each separately.
System Prompts and Zero-shot vs Few-shot Prompting
Prompts are an integral part of interacting with a large language model (LLM), but sometimes getting your desired output can be tricky. Let's take a look at how your output is affected by the system prompt and how you can achieve a better response using zero-shot and few-shot prompting techniques.