An in-depth knowledge of components and architectural trade-offs involved across the data management , governance , model building , deployment and production workflows of AI is a must .
Arun Chandrasekaran , VP Analyst , Gartner
What are AI architects and what do they do ?
Artificial intelligence ( AI ) applies advanced analysis and logic-based techniques , including machine learning , to interpret events , support and automate decisions and take action . Arun Chandrasekaran , VP Analyst , Gartner , discusses what AI architects are and what they do .
Enterprise leaders can create the role to help build a robust enterprise-wide architecture for AI .
In short , the growing diversity and urgency of Artificial Intelligence ( AI ) projects , products and deployment models is creating the need for an AI architect role .
AI architects envision , build , deploy and operationalise an end-to-end Machine Learning ( ML ) and AI pipeline . AI architects can help build a robust enterprise-wide architecture for AI and collaborate with data scientists , data engineers , developers , operations and security .
Artificial Intelligence initiatives often stall because of poor architectural choices , a lack of preparation and the inability to scale . Enterprise architecture and technology innovation leaders can create an AI architect role to help build a robust enterprise-wide architecture for AI . Through 2023 , Gartner estimates that 50 % of IT leaders will struggle to move their AI projects past the proof of concept ( POC ) stage into production . To increase the chances of success , organisations can hire an AI architect to help define the architectural strategy , create workflows , identify toolsets and scale Artificial Intelligence operations .
Who are AI architects ?
AI architects are the curators and owners of the AI architecture strategy . They are the glue between data scientists , data engineers , developers , operations
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