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

AWS Machine Learning

This solution uses the SageMaker JumpStart AI21 Jurassic Jumbo Instruct and AI21 Summarize models to extract and create the documents. The following diagram illustrates the solution architecture. The workflow consists of the following steps: A user accesses the regulatory document authoring tool from their computer browser.

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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 allows for the familiar use of programming languages like Python and R, development tools such as Jupyter Notebook, and ML frameworks through a configuration file. The solution deploys two linked pipelines. About the Authors Kiran Kumar Ballari is a Principal Solutions Architect at Amazon Web Services (AWS).

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How Accenture is using Amazon CodeWhisperer to improve developer productivity

AWS Machine Learning

The tool uses ML models trained on large datasets to provide suggestions and autocompletion for code, as well as generate entire functions and classes based on natural language descriptions. She is expertise on developing End-to-End Machine learning solutions and its deployment using cloud. Nino Leenus is an AI Consultant at Accenture.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems. SageMaker comes with the necessary tools for scaling a model during inference.

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

AWS Machine Learning

The tools and technologies to assist with data preprocessing have been growing over the years. Now we have low-code and no-code tools like Amazon SageMaker Data Wrangler , AWS Glue DataBrew , and Amazon SageMaker Canvas to assist with data feature engineering. His focus area is on data and analytics.

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Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning

With the advancements in automation and configuring with increasing levels of abstraction to set up different environments with IaC tools, the AWS CDK is being widely adopted across various enterprises. In the past, AWS CloudFormation templates have been created to automate the creation of these services.

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Why South Africa CX is Taking Over the Global Call Center Conversation

Outsource Consultants

This growth extends beyond traditional voice services to include complex back-office processes, digital services, and specialized industry solutions. Government Backing Fuels Growth The South African government recognizes the BPO industry’s potential as a key driver of economic growth and job creation.