Remove insights cloud-and-it-lifecycle automation
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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

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A Fair Guide to the Best Customer Service Automation Software

Comm100

With the rise of technology, businesses have started to adopt customer service automation software to scale their operations without ballooning headcount. What is customer service automation software? Customer service automation software are tools designed to automate and streamline customer support processes, often powered by AI.

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Use the Amazon SageMaker and Salesforce Data Cloud integration to power your Salesforce apps with AI/ML

AWS Machine Learning

This is the second post in a series discussing the integration of Salesforce Data Cloud and Amazon SageMaker. The endpoints are then registered to the Salesforce Data Cloud to activate predictions in Salesforce. The endpoints are then registered to the Salesforce Data Cloud to activate predictions in Salesforce.

APIs 77
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Build well-architected IDP solutions with a custom lens – Part 4: Performance efficiency

AWS Machine Learning

The AWS Well-Architected Framework provides a systematic way for organizations to learn operational and architectural best practices for designing and operating reliable, secure, efficient, cost-effective, and sustainable workloads in the cloud. This post focuses on the Performance Efficiency pillar of the IDP workload.

APIs 91
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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Artificial intelligence (AI) and machine learning (ML) offerings from Amazon Web Services (AWS) , along with integrated monitoring and notification services, help organizations achieve the required level of automation, scalability, and model quality at optimal cost.

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

AWS Machine Learning

This post is co-written by Zdenko Estok, Cloud Architect at Accenture and Sakar Selimcan, DeepRacer SME at Accenture. Toolkits to automate the infrastructure become essential for horizontal scaling of AI/ML efforts within a corporation. The creation of a scalable and hassle-free data science environment is key.

Scripts 73
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SambaSafety automates custom R workload, improving driver safety with Amazon SageMaker and AWS Step Functions

AWS Machine Learning

At SambaSafety , their mission is to promote safer communities by reducing risk through data insights. Since 1998, SambaSafety has been the leading North American provider of cloud–based mobility risk management software for organizations with commercial and non–commercial drivers.

Scripts 75