AI Architecture Roles

AI Architecture Roles

 

AI provides tailored guidance on AI Architecture roles, hiring practices for AI Architects, AI use cases, and best practices in the dynamic field of Artificial Intelligence. As organizations increasingly leverage AI technologies to enhance their operations, understanding the pivotal role of AI Architects becomes crucial. In this curated resource, we delve into the key responsibilities of AI Architects, providing insights into the skills and expertise essential for success in this role. Additionally, we offer guidance on how to effectively hire AI Architects to build a high-performing team. Explore real-world AI use cases to gain practical insights into the application of AI across various industries. Furthermore, discover best practices that encompass ethical considerations, effective implementation, and strategic decision-making to ensure the optimal deployment of AI solutions. Whether you are an aspiring AI Architect, a hiring manager, or an AI enthusiast, this page serves as your go-to reference for navigating the intricacies of AI architecture and fostering innovation responsibly.

 

Enterprise Architects: Generative AI is Real Don't Miss This Opportunity

Read More > 

You Need An AI-Knowledgeable Digital Ethicist, Now

Read More >

Free AI Insights

 

AI Insights

AI Architecture Role

Adopting AI-enabled technologies is as much a people, process, organization, and strategy issue as it is about technology. Adopting AI-based solutions requires outside-in customer, user, and business thinking; not inside-out technology first thinking. Adopting AI requires a business and future-focused architect to help guide the integration of people, process, information, solutions and AI.

  • Why is an AI Architect Needed?
  • How is an AI Architect Different from a Solution or Application Architect?
  • Why Types of EA principles should AI Architects define?

Register and Watch On-Demand >> 

 

46

 

Adopting AI-enabled technologies is as much a people, process, organization, and strategy issue as it is about technology. The best AI-enabled solution will go nowhere if it doesn't address a future-state business need and is accepted by users. Adopting AI-based solutions requires outside-in customer, user, and business thinking; not inside-out technology first thinking. Adopting AI requires a business and future-focused architect to help guide the integration of people, process, information, solutions and AI.

 

Learn More

 

 

AI Use Cases

Website Dividers 8

 

Screen Shot 2022 02 24 at 2.13.22 PM


 

 

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.

Learn More >