AI Best Practices

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AI best practices are crucial in developing robust and ethical artificial intelligence systems, ensuring responsible deployment and minimizing potential risks. Aragon Research Analysts play a pivotal role by producing insightful research and conducting advisory meetings, guiding organizations in crafting effective AI architecture that align with industry best practices.

 

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AI Best Practices

AI Resources and Research

 

How Leaders Effectively Govern AI with Principles

In an era marked by rapid adoption of AI technologies and systems both in the workplace and outside the workplace (Think Generative AI Adoption Is In The Future? Think Again!), organizations face the daunting challenge of effectively managing and governing the use of AI while upholding privacy, ethical and responsible practices.

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8 Sample Principles for the Use of AI

In this toolkit, we illustrate eight sample principles for the use of AI. These samples are intended to provide examples of how principles can be structured and should be modified for use within your business. The key is to explore and define the principles that accurately reflect your business needs and opportunities.

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NYT Limits Use of Data for Generative AI

The New York Times (NYT) recently updated its terms of use to prohibit the use of the newspaper’s content in the training of generative AI models. This blog discusses the news and its implications for the generative AI market.

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AI: How Do You Guide and Manage It?

The recent increase in the use of Artificial Intelligence applications and services has been dramatic. Fueled in large part due to generative AI, and particularly text ( ChatGPT, Microsoft Bing, Google Bard, etc.) and image, users, managers and executives are taking advantage of AI technologies to help them work more effectively.

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Do I need AI to Automate or Transform My Business?

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. As with any technological endeavor, it’s critical that organizations grasp the underlying business rationale driving their investments in AI technologies and how they dovetail with their overarching future state.

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AI Guide

AI Guide

 

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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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