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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

API Gateway is serverless and hence automatically scales with traffic. Load balancer – Another option is to use a load balancer that exposes an HTTPS endpoint and routes the request to the orchestrator. You can use AWS services such as Application Load Balancer to implement this approach.

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Revolutionizing customer service: MaestroQA’s integration with Amazon Bedrock for actionable insight

AWS Machine Learning - AI

MaestroQA also offers a logic/keyword-based rules engine for classifying customer interactions based on other factors such as timing or process steps including metrics like Average Handle Time (AHT), compliance or process checks, and SLA adherence. A lending company uses MaestroQA to detect compliance risks on 100% of their conversations.

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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

In addition, you can also take advantage of the reliability of multiple cloud data centers as well as responsive and customizable load balancing that evolves with your changing demands. Compliance, Security and Disaster Recovery. What Are the Advantages of AWS? Let’s look at some of the major advantages of AWS: Ease of Sign-Up.

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The AWS Cloud Migration Checklist Every Business Needs for a Smooth Transition

Mobilunity

This guide is designed to streamline the Amazon Web Services migration procedure by offering a comprehensive checklist that addresses major challenges and resolves frequent issues like data integrity, compliance, and cost control. Ensure security compliance Tackle compliance requirements that are specific to the industry, like GDPR or HIPAA.

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Build RAG-based generative AI applications in AWS using Amazon FSx for NetApp ONTAP with Amazon Bedrock

AWS Machine Learning - AI

Our solution uses an FSx for ONTAP file system as the source of unstructured data and continuously populates an Amazon OpenSearch Serverless vector database with the user’s existing files and folders and associated metadata. The chatbot application container is built using Streamli t and fronted by an AWS Application Load Balancer (ALB).

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The Definitive Guide to Achieve AWS Cloud Certification

Linux Academy

Define AWS Cloud security and compliance concepts. The basic security and compliance aspects of the AWS platform and the shared security model. Load Balancers, Auto Scaling. Lambda – what is lambda / serverless. Serverless Compute. Security and Compliance. Domain 1: Cloud Concepts . CloudTrail.

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Weekly Update 5-20-2019

Linux Academy

Configuring Audit Settings for STIG Compliance on Red Hat. Run an OpenSCAP Compliance Scan on a Host. AWS Certified Solutions Architect – Associate level has two new labs: Building a Serverless Application. Implementing an Auto Scaling Group and Application Load Balancer in AWS. Creating USBGuard Rules.

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