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Modernizing on AWS: Strategies, Benefits, and Partnerships with Xebia

Xebia

Cloud modernization has become a prominent topic for organizations, and AWS plays a crucial role in helping them modernize their IT infrastructure, applications, and services. Overall, discussions on AWS modernization are focused on security, faster releases, efficiency, and steps towards GenAI and improved innovation.

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CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

AWS Machine Learning - AI

CBRE’s data environment, with 39 billion data points from over 300 sources, combined with a suite of enterprise-grade technology can deploy a range of AI solutions to enable individual productivity all the way to broadscale transformation. The following figure illustrates the core architecture for the NLQ capability.

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Sending OpenTelemetry Data From AWS Lambda to Honeycomb

Honeycomb

In this post, I describe how to send OpenTelemetry (OTel) data from an AWS Lambda instance to Honeycomb. I will be showing these steps using a Lambda written in Python and created and deployed using AWS Serverless Application Model (AWS SAM). Add your Honeycomb environment’s API key to AWS Secrets Manager.

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

AWS Machine Learning - AI

By extracting key data from testing reports, the system uses Amazon SageMaker JumpStart and other AWS AI services to generate CTDs in the proper format. This solution relies on the AWS Well-Architected principles and guidelines to enable the control, security, and auditability requirements. AI delivers a major leap forward.

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AWS Lambda vs. Fargate: The Battle of Cloud Giants

Dzone - DevOps

With the advent of serverless architectures and container services, the technology landscape has transformed dramatically. AWS (Amazon Web Services) has been a major player in this transformation with their extensive suite of cloud services. Two such services that have gained significant popularity are AWS Lambda and Fargate.

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Transform one-on-one customer interactions: Build speech-capable order processing agents with AWS and generative AI

AWS Machine Learning - AI

Despite technological advancements, the human-centric model remains deeply ingrained in order processing, leading to these limitations. The prospect of utilizing technology for one-on-one order processing assistance has been available for some time. Solution overview The following diagram illustrates our solution architecture.

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Automate the process to change image backgrounds using Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

However, Amazon Bedrock and AWS Step Functions make it straightforward to automate this process at scale. Step Functions allows you to create an automated workflow that seamlessly connects with Amazon Bedrock and other AWS services. The DynamoDB update triggers an AWS Lambda function, which starts a Step Functions workflow.

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