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AI Coding Assistants: Enterprise Market Landscape and Tools Evaluation
Explore how AI coding assistants—including autonomous AI agents and agentic AI—are reshaping enterprise software development by accelerating delivery, improving code quality and driving productivity at scale. This market landscape breaks down key players, agentic capabilities and considerations for secure, strategic adoption.
How to Securely Implement AI Coding Assistants Across the Enterprise
A practical approach to balancing productivity, privacy and protection
The ROI Paradox: Two Truths About AI's Progress
Bridging the gap between AI's promise and AI's profit requires redefining ROI, strategic investment and empowering middle management. Success lies in integrating AI into core systems, fostering trust and treating AI as a capital investment, not an experiment.
A Guide for CEOs to Accelerate AI Excitement and Adoption
The age of AI is here. As the CEO, your leadership is crucial to driving AI transformation. Discover how active executive engagement in AI adoption leads to competitive advantage.
Implementing MCP Servers with Ansible Automation Platform
Model Context Protocol (MCP) servers can be integrated with Ansible Automation Platform (AAP) to enhance AI-driven network operations. By enabling natural language interaction with real-time network data, MCP augments large language models (LLMs) with contextual awareness, reducing technical debt and improving operational efficiency. A practical firewall use case illustrates the transformative potential of MCP in enterprise automation.
ATC Activity
SASE Architecture: Cisco Viptela SD-WAN With Zscaler (SSE) Lab
Secure Access Service Edge (SASE), coined by Gartner in 2019, is a solution that blends networking and security into cloud scale architecture that optimizes end user performance and improves security for an organization. With the Zscaler and SD-WAN integration, you can rapidly gain access to cloud-delivered security in minutes. This market leading API automation makes it very fast and agile to deploy and manage the network and security environment of hundreds or even thousands of remote sites.
Juniper SD-Branch
This SD-WAN Learning Path will take the user through the configuration of the Juniper Mist platform. Juniper Mist is an AI-native networking platform using Marvis AI. Next-generation AI abilities allow customers to experience the foundation of a self-driving network. Utilizing data from devices such as APs, switches, and SSRs, Mist optimizes user experience and simplifies operations from client to cloud.
Everyday Prompt Engineering
This learning path introduces AI users to key concepts and practices for crafting effective prompts that maximize the value of AI tools. It begins by providing essential background knowledge to explain why prompt engineering is critical for generating high-quality responses. It will then culminate with the introduction of the Prompt Blueprint—a practical framework to help users design effective prompts.
Adtran Mosaic Cloud Platform (MCP) Lab
This lab provides users access to Adtran's Mosaic Cloud Platform (MCP) to manage their SDX Passive Optical Network devices. It gives users access to a live network while displaying how the Mosaic Cloud Platform operates.