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

AWS Machine Learning

Many businesses already have data scientists and ML engineers who can build state-of-the-art models, but taking models to production and maintaining the models at scale remains a challenge. Just like DevOps combines development and operations for software engineering, MLOps combines ML engineering and IT operations.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Wipro further accelerated their ML model journey by implementing Wipro’s code accelerators and snippets to expedite feature engineering, model training, model deployment, and pipeline creation. About the Authors Stephen Randolph is a Senior Partner Solutions Architect at Amazon Web Services (AWS).

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How Accenture is using Amazon CodeWhisperer to improve developer productivity

AWS Machine Learning

Accenture is using Amazon CodeWhisperer to accelerate coding as part of our software engineering best practices initiative in our Velocity platform,” says Balakrishnan Viswanathan, Senior Manager, Tech Architecture at Accenture. In this post, we illustrate how Accenture uses CodeWhisperer in practice to improve developer productivity.

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23 Inspiring Women to Watch in 2023

TechSee

Caroline Yap, Director of AI Practice, Google Cloud – Caroline’s team accelerates customer transformations with AI and Industry Solutions, including Contact Center AI (CCAI), Vertex AI, and DocAI. She is a force to be reckoned with as a writer and speaker on customer experience.

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

CSM Magazine

Before joining Calabrio, Niall spent 6 years with Qlik as Industry Solutions Director. He has 25 years of experience in data, analytics and BI, 15 of which have been with contact centres for leading companies in telecommunications, energy and high-tech industries.

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EVERYTHING YOU NEED TO KNOW ABOUT STIR/SHAKEN

Hodusoft

In later years, STIR/SHAKEN was developed jointly by the SIP Forum and the Alliance for Telecommunications Industry Solutions (ATIS) to efficiently implement the Internet Engineering Task Force (IETF). Malicious actors can still use other methods, such as social engineering, to deceive users and commit fraud.

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Build an agronomic data platform with Amazon SageMaker geospatial capabilities

AWS Machine Learning

Together, these additions help agronomists, software developers, ML engineers, data scientists, and remote sensing teams provide scalable, valuable decision-making support systems to farmers. She is passionate about bringing cutting-edge use cases to the forefront and helping customers build strategic solutions on AWS.

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