AI Platforms and Architecture – Aragon Research

AI Platforms and Architecture

 

The Importance of AI Platforms & Architecture

Through 2029, the primary pitfall leading to failure and squandered resources in AI systems will stem from organizations approaching AI support from a technological or solution-oriented stance, rather than a business-centric approach. 

No matter which industry or region, every company is finding AI-enabled technologies are quickly becoming prevalent, if not pervasive, within their portfolio. Be it within packaged applications, workplace solutions, in-house developed applications/apps, or partner solutions, every provider is either providing AI-enabled products or announcing plans for future products/services.

  • Challenges include varied richness, breadth, and accuracy of AI capabilities
  • Ensuring alignment and integration of entire business and technology portfolio with AI solutions is crucial
  • Integration involves data sources, development tools, platforms, business processes, change management, business strategy, roles, and governance

 

 

 

The Future of AI and Edge Computing

 
 

[FREE] Download our complimentary infographic today and discover how AI and edge computing can propel your business to new heights.

 

 

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AI Platforms

 

 

AI Platforms
AI Platform Providers
AI Platform Architecture

 

 

 

AI Strategies

 

AI Architecture

Develop a comprehensive AI architecture framework for businesses, outlining scalable and adaptable structures to optimize AI implementation.

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Citizen AI Developers & Users

Facilitate training programs and resources to empower citizen AI developers and users, fostering a culture of AI literacy and skill development within organizations.

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Digital Labor

Design and implement digital labor solutions that integrate seamlessly with existing business processes, enhancing efficiency and productivity through AI-driven automation.

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AI Regulatory Issues

Expert guidance on navigating and complying with AI regulatory issues, ensuring businesses stay abreast of evolving legal frameworks and ethical considerations in the AI landscape.

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AI Architecture Roles

 

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Can AI Help to Close the Dream Gap?

As humans, we all have explicit and implicit biases. And just as we can pass these on to children, we will likely pass these on to AI systems. The key is recognizing that we all have biases and then making conscious efforts to not or at least limit the degree to which we pass these on to the next generation of humans and AI systems.

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The Technology Arc™ for Artificial Intelligence

This edition of The Aragon Research Technology Arc™ for Artificial Intelligence (AI) profiles 27 AI technologies and concepts, and is designed to help you to identify important technologies, choose which technologies to monitor, and determine the potential benefits of each

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Understanding the Generative AI Vendor Landscape

In this Research Note, we detail the core capabilities of generative AI providers and provide a breakdown of key players in the market and their relative capabilities.  This Note is narrowly scoped to include providers that are delivering services that already leverage AI models to meet business needs.

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Trends in Generative AI

Generative AI represents a new business transformation opportunity for the enterprise. In this Research Note will delve into why prompt engineering is so critical for your business to leverage the full potential of these powerful AI tools.

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Betsy Burton, Vice President of Research and Aragon Fellow, is a seasoned AI architecture expert at Aragon Research. With a career spanning over three decades, Betsy has been a guiding force for numerous organizations in the public and private sectors. Her expertise lies in technology-enabled business strategies, business architecture, digital business transformation, enterprise architecture, and business capability modeling. Joining Aragon Research in 2019, Betsy is recognized for her profound knowledge in AI tools, strategies, and trends, making her an invaluable resource for Chief AI Officers, CIOs, and executives seeking informed guidance in the dynamic landscape of artificial intelligence.

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