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Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator

AWS Machine Learning

The solution takes advantage of AWS native features from Amazon SageMaker , building a flexible and extensible framework around this. He is an evangelist who loves to help customers leverage new technologies and build repeatable industry solutions to solve their problems.

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Streamline Sales Processes with Enterprise CPQ

Cincom

From coordinating teams to configuring quotes, enterprise companies face immense challenges keeping sales operations running smoothly. Fortunately, Configure, Price, Quote (CPQ) software provides specialized solutions purpose-built for streamlining sales in enterprise environments. Customers engage in whichever way they prefer.

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23 Inspiring Women to Watch in 2023

TechSee

She combines expertise in operations management, finance, customer operations, strategy development and execution, complex problem solving, and large organization leadership with complex negotiation, analytical, and interpersonal skills. Kate champions digital innovations that create the best customer experience and solutions.

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Accenture creates a regulatory document authoring solution using AWS generative AI services

AWS Machine Learning

Connect with the AABG team at accentureaws@amazon.com to drive business outcomes by transforming to an intelligent data enterprise on AWS. Shikhar aids in architecting, building, and maintaining cost-efficient, scalable cloud environments for the organization, and supports the GSI partner in building strategic industry solutions on AWS.

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Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows

AWS Machine Learning

Nonetheless, our solution can still be utilized. Client profiles – We have three business clients in the construction, manufacturing, and mining industries, which are mid-to-enterprise companies. Construction Technology Solutions - Construction Data Analytics and Reporting. Their industry is manufacturing.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Its AI/ML solutions drive enhanced operational efficiency, productivity, and customer experience for many of their enterprise clients. About the Authors Stephen Randolph is a Senior Partner Solutions Architect at Amazon Web Services (AWS). Wipro is an AWS Premier Tier Services Partner and Managed Service Provider (MSP).

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Automated exploratory data analysis and model operationalization framework with a human in the loop

AWS Machine Learning

He has over 8 years of industry experience from startups to large-scale enterprises, from IoT Research Engineer, Data Scientist, to Data & AI Architect. Sachin Thakkar is a Senior Solutions Architect at Amazon Web Services, working with a leading Global System Integrator (GSI). His focus area is on data and analytics.