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

AWS Machine Learning

Overall, ML use cases require a readily available integrated solution to industrialize and streamline the process that takes an ML model from development to production deployment at scale using MLOps. Ankur Goyal is a director in PwC Australia’s Cloud and Digital practice, focused on Data, Analytics & AI.

Analytics 127
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Accenture creates a regulatory document authoring solution using AWS generative AI services

AWS Machine Learning

This solution relies on the AWS Well-Architected principles and guidelines to enable the control, security, and auditability requirements. By harnessing AWS generative AI, Accenture aims to transform efficiency for regulated industries like pharmaceuticals. His focus area is on Data, Analytics and Generative AI.

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

CSM Magazine

Achieving 30% year-on-year sales growth, Calabrio International has welcomed more than 150 new customers, with the UK adding a third of those from a wide range of industries including many online challenger businesses. Before joining Calabrio, Niall spent 6 years with Qlik as Industry Solutions Director. About Calabrio.

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Streamline Sales Processes with Enterprise CPQ

Cincom

As the pioneer of CPQ technology, Cincom offers industry-leading solutions that enhance sales capabilities while solving common pain points. Embedded analytics quantify account growth rates and surface cross-sell targets. Related: What Is Configure Price Quote Software? CTA: Schedule a demo FAQs What does CPQ software do?

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

AWS Machine Learning

This new feature enables organizations to process large volumes of data when interacting with foundation models (FMs), addressing a critical need in various industries, including call center operations. Output collection and analysis – Retrieve processed results and integrate them into existing workflows or analytics systems.

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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 86
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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.