IBM, AWS to Bring Generative AI Solutions and Dedicated Expertise to Clients

IBM Expands Relationship with AWS. The plan is set to Providing clients with dedicated AWS expertise and plans to train and skill 10,000 consultants.

IBM AWS Gen AI
IBM Consulting to help the company's evolving cloud strategy to explore.


Armonk, NY: 

IBM and Amazon planned to deliver joint solutions and services upgraded with generative AI capabilities designed to help web users across critical use cases.

On Wednesday IBM claimed that the company made an expansion of its relationship with Amazon Web Services (AWS) to assist more mutual clients operationalize and derive value from generative artificial intelligence. 

IBM informed that, as part of this, IBM Consulting aims to deepen and expand its generative AI expertise on AWS by educating 10,000 consultants by the end of next year. 

IBM Consulting and Amazon Web Services already serve clients across a variety of industries with a range of AI solutions and services. Now, the companies are enhancing those solutions and services with the power of generative AI designed to help clients integrate AI quickly into business and IT operations building on AWS. IBM Consulting and AWS plan to start with these specific tech initiatives.

"As we sought to leverage generative AI to extract insights from our engagements with customers, we were confronted with some unfamiliar issues around storage, memory size and power requirements," said Matthieu Dupuis, Head of AI for Bouygues Telecom. "IBM Consulting and AWS have been invaluable partners in identifying the exact model for our needs and overcoming these technological barriers."

This also enables the data scientists to work with greater efficiency, purpose, and satisfaction by allowing them to spend more time on complex, high-value AI projects rather than launching standalone innovations.

With the new AI platform on AWS, IBM Consulting enabled Bouygues Telecom to thrive proof-of-concept models and scale them into production quickly while helping to minimize expenditure and risks. 

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