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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.
Top 20 Agentic AI Use Cases for Healthcare in 2026
A guide to 2026's top agentic AI opportunities in healthcare—spanning clinician, staff and patient experience across the provider and payer ecosystem.
AI Habits for a Sustainable Future
AI is one of the most powerful tools we have today. But like any powerful tool, it comes with responsibility. This Earth Day, WWT's Global Green Teams and Sustainable Softchoice collaborated to take an honest look at one responsibility that often goes unnoticed: the actions we users can take to reduce AI's impacts on our environment.
Agent-2-Agent Protocol (A2A) - A Deep Dive
Explore the transformative potential of Google's Agent2Agent (A2A) protocol, enabling seamless AI agent collaboration across diverse systems. Discover how A2A's scalable, secure, and model-agnostic design can revolutionize intelligent automation, driving operational efficiency and innovation. Uncover why A2A might be the next leap in AI-driven business solutions.
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.
Transforming Clinical Insight Through Local AI Compute: The WWT and Intel Collaboration
Fragmented healthcare data hinders effective care. Read this blog to learn how this edge AI solution enhances efficiency, preserves privacy and improves patient experiences, demonstrating a new paradigm in healthcare data integration and clinician workflow.
The Lawn Mower Metaphor: Getting Real Value from Windsurf Without Cutting the Flowers
If you're a software engineer navigating fast-turnaround proof-of-concept projects, this post explores how Windsurf's AI coding agent, Cascade, can accelerate development without breaking what already works. Using a "lawn mower" metaphor, it covers two key techniques: understanding the codebase before writing code, and executing implementation plans one deliberate step at a time.
The Omnissa 2026 State of the Digital Workspace: An EUC Perspective Decades in the Making
The Omnissa 2026 report reveals critical insights on enterprise digital workspace management, emphasizing the urgent need for visibility and control over shadow AI and endpoint security challenges.
It highlights key operational realities and risks within diverse EUC environments.
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.
Remarks on Microsoft Ignite 2024
Microsoft Ignite has once again showcased the tech giant's commitment to innovation and excellence. This year's event has brought forward a plethora of groundbreaking announcements that are set to redefine the landscape of the technology industry. Here's a comprehensive recap and summary of the most important announcements made at Microsoft Ignite 2024
How IT Teams Can Use DEX Tools to Facilitate and Monitor Employees' AI Adoption
Artificial Intelligence (AI) adoption is no longer optional; it is foundational to your success. But without the right visibility and support, even the best tools can fail to deliver value. Digital Employee Experience (DEX) platforms bridge the gap between technology and employee experience, helping enterprises track, optimize and scale AI usage responsibly.
The Overlooked Water Challenge in the Age of AI
AI's growth is driving a massive increase in data center water usage, impacting communities and policies across the world. Innovation around cooling technologies, AI optimization practices and alternative cooling methods can help reduce the impact on water from AI and data centers.