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To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. This allows teams to focus more on implementing improvements and optimizing AWS infrastructure. This systematic approach leads to more reliable and standardized evaluations.
During re:Invent 2023, we launched AWS HealthScribe , a HIPAA eligible service that empowers healthcare software vendors to build their clinical applications to use speech recognition and generative AI to automatically create preliminary clinician documentation.
It seems like every time a demo day ends , there’s a new one waiting around the corner — and as you know, TechCrunch is no stranger to covering them. But today we’re highlighting the demo day for a new wave of crypto projects and teams who participated in the latest cohort for Alliance DAO, a web3 accelerator and builder community.
Jaffle Shop Demo To demonstrate our setup, we’ll use the jaffle_shop example. Jaffle shop is a fictional e-commerce store often used for dbt demos. Moving to the Cloud (AWS) With the local setup complete, we’re ready to explore cloud deployment options. In the next post, we’ll look into setting up Ducklake in AWS.
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Yes, the AWS re:Invent season is upon us and as always, the place to be is Las Vegas! are the sessions dedicated to AWS DeepRacer ! Generative AI is at the heart of the AWS Village this year. You marked your calendars, you booked your hotel, and you even purchased the airfare. And last but not least (and always fun!)
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Our partnership with AWS and our commitment to be early adopters of innovative technologies like Amazon Bedrock underscore our dedication to making advanced HCM technology accessible for businesses of any size. We are thrilled to partner with AWS on this groundbreaking generative AI project. John Canada, VP of Engineering at Asure.
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This strategy alone — achieved with the DIY approach — was responsible for saving $300,000 when his team dug into expenses surrounding Google Cloud Platform log storage, resulting in his team moving the logs to a lower tier of cloud storage and rightsizing the data they retain to adhere to retention requirements.
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There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API. Apache Ozone caters to both these storage use cases across a wide variety of industry verticals, some of which include: . Diversity of workloads. release version.
In this post, we explore how to deploy distilled versions of DeepSeek-R1 with Amazon Bedrock Custom Model Import, making them accessible to organizations looking to use state-of-the-art AI capabilities within the secure and scalable AWS infrastructure at an effective cost. Watch this video demo for a step-by-step guide.
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This month, I had the opportunity to attend Amazon Web Services (AWS) Summit Toronto 2023 at the Metro Toronto Convention Center. The summit featured over 70 keynote presentations, breakout sessions, demos, and networking opportunities with AWS experts and partners. Here are some of the highlights that our team wanted to share!
However, these approaches demand advanced AI expertise, high performance compute, fast storage access and can be prohibitively expensive for many organizations. The following demo provides a high-level, step-by-step guide to using Amazon SageMaker training jobs.
Architecture The solution uses Amazon API Gateway , AWS Lambda , Amazon RDS, Amazon Bedrock, and Anthropic Claude 3 Sonnet on Amazon Bedrock to implement the backend of the application. Model deployment accounts – The LLMs offered by various vendors are hosted and operated by AWS in separate accounts dedicated for model deployment.
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For production use, it is recommended to use a more robust frontend framework such as AWS Amplify , which provides a comprehensive set of tools and services for building scalable and secure web applications. The knowledge base is pre-populated with transcript and metadata files stored in Amazon Simple Storage Service (Amazon S3).
Working with the AWS Generative AI Innovation Center , DoorDash built a solution to provide Dashers with a low-latency self-service voice experience to answer frequently asked questions, reducing the need for live agent assistance, in just 2 months. “We You can deploy the solution in your own AWS account and try the example solution.
Prerequisites There are a few prerequisites to deploy the demo. You’ll need access to an AWS account with an access key or AWS Identity and Access Management (IAM) role with permissions to Amazon Bedrock and Amazon Location. Upon running the CLI, it will create a geospatial-agent-session-storage folder to store local data.
This blog post discusses how BMC Software added AWS Generative AI capabilities to its product BMC AMI zAdviser Enterprise. Extract the stored mainframe metrics data from zAdviser, which is hosted in Amazon Elastic Compute Cloud (Amazon EC2) and deployed in AWS. Check out the BMC website to learn more and set up a demo.
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Was the container running in a managed service like AWS Fargate or a self-managed cluster? Did the workload have access to sensitive databases or cloud storage? Schedule your demo today. To move at the speed of todays cloud, teams need expedient answers to essential questions: Where did it happen? Why did it happen?
We’ll also provide demo code so you can try it out for yourself. Stage three is the ongoing use of that data stored in a persistent storage system. Apache Kafka is not a replacement to MQTT, but since MQTT is not built for high scalability, longer storage, or easy integration to legacy systems, it complements Apache Kafka well.
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You can create a data lifecycle that handles long-term storage. I called mine ` ca-otel-demo-telemetry `. Create an S3-writable IAM account in AWS. Create an S3-writable IAM account in AWS. Should I create my own solution to this? Your mileage may vary. Create Amazon objects 1. Create an S3 bucket.
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