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

AWS Machine Learning

He is an evangelist who loves to help customers leverage new technologies and build repeatable industry solutions to solve their problems. Ankur Goyal is a director in PwC Australia’s Cloud and Digital practice, focused on Data, Analytics & AI.

Analytics 129
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Accenture creates a regulatory document authoring solution using AWS generative AI services

AWS Machine Learning

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. Sachin Thakkar is a Senior Solutions Architect at Amazon Web Services, working with a leading Global System Integrator (GSI).

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Calabrio Charts Record Year-on-Year UK Growth as Demand for Cloud Technology Soars During Lockdown

CSM Magazine

Niall Gallacher has joined Calabrio as Business Intelligence (BI) strategic consultant and will be instrumental in the design of services that drive value from data and analytics, helping Calabrio customers to solve complex business problems. Before joining Calabrio, Niall spent 6 years with Qlik as Industry Solutions Director.

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Streamline Sales Processes with Enterprise CPQ

Cincom

Unify Distributed Sales Operations Teams Cincom CPQ consolidates all relevant pricing, product data, customer details, and analytics into a central platform, giving globally distributed teams access to unified data sources. Embedded analytics quantify account growth rates and surface cross-sell targets. Does CPQ software replace CRM?

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Build an agronomic data platform with Amazon SageMaker geospatial capabilities

AWS Machine Learning

These platforms help farmers make sense of their data by integrating information from multiple sources for use in visualization and analytics applications. By removing masked pixels (clouds) from further image processing, downstream analytics and products have improved accuracy and provide value to farmers and their trusted advisors.

APIs 87
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Enhance call center efficiency using batch inference for transcript summarization with Amazon Bedrock

AWS Machine Learning

We also explore best practices for optimizing your batch inference workflows on Amazon Bedrock, helping you maximize the value of your data across different use cases and industries. Solution overview The batch inference feature in Amazon Bedrock provides a scalable solution for processing large volumes of data across various domains.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

About the Authors Stephen Randolph is a Senior Partner Solutions Architect at Amazon Web Services (AWS). He enables and supports Global Systems Integrator (GSI) partners on the latest AWS technology as they develop industry solutions to solve business challenges.