AWS and Workday Team on Enterprise AI Applications
Amazon Web Services (AWS) launched a generative artificial intelligence-focused partnership with enterprise software company Workday. “This expanded partnership combines the power of Workday AI and AWS to deliver AI features to our customers faster and more efficiently,” Shane Luke, Workday’s vice president of product and engineering and head of AI and machine learning, said in […]
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Amazon Web Services (AWS) launched a generative artificial intelligence-focused partnership with enterprise software company Workday.
“This expanded partnership combines the power of Workday AI and AWS to deliver AI features to our customers faster and more efficiently,” Shane Luke, Workday’s vice president of product and engineering and head of AI and machine learning, said in a news release Thursday (July 11). “With Workday AI, we’re focused on delivering value for our customers through the use of enterprise data in their Workday applications. By leveraging AWS, we can focus more directly on that goal while using the tools and services they provide for a range of model management and operations.”
Workday uses AWS tools like Amazon Bedrock and Amazon SageMaker JumpStart to develop generative AI capabilities that help customers manage their workforce and financial assets, according to the release.
“For example, Workday is using AWS generative AI capabilities to help customers create job descriptions in minutes versus hours, analyze and correct contracts for more accurate revenue reporting, and create personalized employee talent highlights,” the release said.
In addition, Workday is teaming with the AWS Generative AI Innovation Center to explore new AI applications, which means expanding its use of Amazon SageMaker to enhance the performance of large language models “by implementing model guardrails and responsible AI policies and evaluating generative AI use cases for production,” per the release.
Also this week, AWS introduced a generative AI-powered service to help users create applications using natural language.
The AWS App Studio lets users describe an application they want, the things they want it to do, and the data sources with which they would like to integrate.
The service, now available for preview in Oregon, then uses that information to build an application “in just minutes” that can be used straight away, the company said.
Amazon’s focus on AI has been a major driver of growth this year, with the company rolling out several new generative AI products and services, PYMNTS reported in May. AWS saw its sales increase 17% year over year to $25 billion, while its operating income climbed to $9.4 billion, up from $5.1 billion in the first quarter of last year.
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