AI is a discipline that attempts to create systems capable of thought or behavior based on natural processes. These natural processes include vision, language processing, reasoning, and learning. AI applies research from computer science, psychology, mathematics, linguistics, and neuroscience to develop problem-solving applications that supplant or augment human intellectual performance.
Modern AI technologies include generative Ai, Deep Learing, machine learning, natural language interfaces, and a variety of technologies to support evidence-based decision-making. Supported by large data sets and modern distributed computing platforms, this stack provides the essential tools to enable today’s intelligent enterprise. Dont miss our deep dives into the entire AI Landscape:
AI Platforms and Architecture
AI Agents and Agent Platforms
Agentic AI and Agentic Systems
Generative AI
Computer Vision
Building Your AI Roadmap
Because AI makes resources smarter, enterprises that leverage it sooner than their competitors will have a strategic advantage. Business planners need to:
- Ask their providers if they have a roadmap for AI. If your providers are not planning on developing or acquiring AI applications and technologies, begin to evaluate alternative providers.
- Understand user needs and the potential impact of emerging AI and machine learning technologies and applications. Allocation of AI investments should be first applied to areas that stand to have the biggest impact on business.
Get started with your AI roadmap by downloading your complimentary eBook.
2026 Edge Computing Pivot: Privacy, Control, and Latency
This Research Note explores the emergence of the AI Data Center at the Edge: ruggedized, small-form-factor infrastructure that brings high-density compute power directly to the source of data.
Aragon Globe for AI Agent Platforms 2026
The Agent Platform market is rapidly evolving and we evaluate 21 vendors.
What is Model Context Protocol?
The Model Context Protocol (MCP) is an emerging open standard developed by Anthropic that enables AI agents to interact with external data sources, tools, and applications through a standardized client-server architecture.
To view all of our research on artificial intelligence visit our Artificial Intelligence Research Index >
Complimentary Webinar
Building the Intelligent Enterprise: Putting AI to Work
Upcoming | March 9th
With: Jim Lundy, CEO of Aragon Research
Special Report
Artificial Intelligence is the Catalyst for Digital Transformation
This special report provides research reports that take a deep dive into artificial intelligence technologies to prepare you for your digital transformation journey.
Anthropic: Was the US Right on Trust?
Anthropic Fable 5 was pulled from the market. It turns out that Anthropic was reported to the US Federal Government by one of their investors – Amazon.
Microsoft and Nvidia partner to save Windows
Microsoft announced its deep core optimization of Windows 11 for the NVIDIA RTX Spark platform to establish a secure, localized foundation for the emerging era of autonomous digital agents.
AI Takes Center-Stage at AWS re:Invent
At its re:Invent 2021 event this week, Amazon Web Services demonstrated several of its enhanced application capabilities with an emphasis on its artificial intelligence offerings. In particular, ease of use and no-code capabilities were themes that stood out in the cloud computing provider’s development and voice analytics tools. This blog reviews some AI highlights from the event.
Computer Vision for Fashion: Virtual Dressing Rooms
Recently, the computer vision provider, Revery.ai, has turned heads with its exposition of an AI-based solution for virtual dressing rooms. Revery.ai’s press attention has come from the scale and extensibility of its solution, which is capable of analyzing over a million garment images a week.