APIs, Scripts and Transportation - Customer Contact Central

Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation

AWS Machine Learning

FEBRUARY 29, 2024

Deutsche Bahn is a leading transportation organization in Germany with a revenue of 56.3 They offer a wide range of services, including public and regional transport, freight services, and rail infrastructure. They offer a wide range of services, including public and regional transport, freight services, and rail infrastructure.

APIs

APIs Construction Transportation Analytics

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

FEBRUARY 29, 2024

The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.

APIs

APIs Healthcare Scripts Enterprise

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

NOVEMBER 14, 2024

Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. We will start by using the SageMaker Studio UI and then by using APIs.

Government

Government Management APIs Accountability

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

AWS Machine Learning

FEBRUARY 13, 2023

An administrator can run the AWS CDK script provided in the GitHub repo via the AWS Management Console or in the terminal after loading the code in their environment. With the help of the AWS CDK, we can version control our provisioned resources and have a highly transportable environment that complies with enterprise-level best practices.

Scripts

Scripts Best practices Transportation Construction

What is Automation Testing and Why is it Important?

CSM Magazine

DECEMBER 23, 2024

Our reliance on online banking and transport systems applications is immense, and this dependence mandates high quality and reliability. Test frameworks structure the process, and the scripts run within that. An example is a script that automatically logs in to a website. Software testing has become relevant to every industry.

Scripts

Scripts APIs Transportation Banking

Gemma is now available in Amazon SageMaker JumpStart

AWS Machine Learning

MARCH 13, 2024

. * The `if __name__ == "__main__"` block checks if the script is being run directly or imported. To run the script, you can use the following command: ``` python hello.py ``` * The output will be printed in the console: ``` Hello, world! ) # For the other hyperparameters, see the GitHub notebook attached in this blog.

Benchmark

Benchmark Scripts APIs Feedback

Training large language models on Amazon SageMaker: Best practices

AWS Machine Learning

MARCH 6, 2023

Best practices We discuss the following best practices in this post: Compute – SageMaker Training is a great API to launch CPU dataset preparation jobs and thousand-scale GPU jobs. The SageMaker jobs APIs, namely SageMaker Training and SageMaker Processing, excel for this type of tasks.

Best practices

Best practices APIs Transportation Scripts

Improve price performance of your model training using Amazon SageMaker heterogeneous clusters

AWS Machine Learning

OCTOBER 27, 2022

For more information, refer to Using the SageMaker Python SDK and Using the Low-Level SageMaker APIs. After you have defined the instance groups, you need to modify your training script to read the SageMaker training environment information that includes heterogeneous cluster configuration. The launcher.py

Scripts

Scripts Benchmark Metrics Transportation

Build repeatable, secure, and extensible end-to-end machine learning workflows using Kubeflow on AWS

AWS Machine Learning

SEPTEMBER 9, 2022

Amazon Cognito for user authentication with Transport Layer Security (TLS). Example components of the standardized tooling include a data ingestion API, security scanning tools, the CI/CD pipeline built and maintained by another team within athenahealth, and a common serving platform built and maintained by the MLOps team.

Engineering

Engineering Healthcare APIs Scripts

Deep demand forecasting with Amazon SageMaker

AWS Machine Learning

JUNE 28, 2022

JumpStart features aren’t available in SageMaker notebook instances, and you can’t access them through SageMaker APIs or the AWS Command Line Interface (AWS CLI). Here, we create a SageMaker MXNet estimator and pass in our model training script, hyperparameters, as well as the number and type of training instances we want.

Metrics

Metrics Healthcare Transportation Accountability

How Clearwater Analytics is revolutionizing investment management with generative AI and Amazon SageMaker JumpStart

AWS Machine Learning

DECEMBER 13, 2024

Crystal shares CWICs core functionalities but benefits from broader data sources and API access. Previously, it required a data scientist to write over 100 lines of code within an Amazon SageMaker Notebook to identify and retrieve the proper image, set the right training script, and import the right hyperparameters.

Analytics

Analytics Management Accountability Engineering

The Challenges of Maintaining and Upgrading Call Center Infrastructure

NobelBiz

JUNE 26, 2023

Telecom Services Telecommunication services are the veins of a call center, transporting voice data from one point to another. Let’s now explore each of these key elements in greater detail, uncovering their significance and impact on the overall call center ecosystem.

Call Center

Call Center Interactive Voice Response call center software CRM

Get smarter search results with the Amazon Kendra Intelligent Ranking and OpenSearch plugin

AWS Machine Learning

JANUARY 9, 2023

Amazon Kendra Intelligent Ranking application programming interface (API) – The functions from this API are used to perform tasks related to provisioning execution plans and semantic re-ranking of your search results. Create and start OpenSearch using the Quickstart script. Download the search_processing_kendra_quickstart.sh

Scripts

Scripts APIs Engineering Transportation

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

JANUARY 26, 2024

Conversely, the data in your model may be extremely sensitive and highly regulated, so deviation from AWS Key Management Service (AWS KMS) customer managed key (CMK) rotation and use of AWS Network Firewall to help enforce Transport Layer Security (TLS) for ingress and egress traffic to protect against data exfiltration may be an unacceptable risk.

Best practices

Best practices Government Engineering Accountability

Bring SageMaker Autopilot into your MLOps processes using a custom SageMaker Project

AWS Machine Learning

JUNE 14, 2023

occupation ech-support, Craft-repair, Other-service, Sales, Exec-managerial, Prof-specialty, Handlers-cleaners, Machine-op-inspct, Adm-clerical, Farming-fishing, Transport-moving, Priv-house-serv, Protective-serv, Armed-Forces relationship Wife, Own-child, Husband, Not-in-family, Other-relative, Unmarried. Python code file.

Best practices

Best practices Scripts Education Engineering

Transform Your Business with a Virtual Call Center Solution

JustCall

APRIL 12, 2023

These digital signals can then be converted into voice once received – that is how a phone call is connected Since phone calls are transported as digital signals, it is easy to store the data securely in cloud spaces. The fact that it touts an uptime of 99.99% has given it a clientele of over 2,700 reputed organizations.

virtual call center

virtual call center call center solutions Call Center call center software

Implement secure API access to your Amazon Q Business applications with IAM federation user access management

AWS Machine Learning

NOVEMBER 22, 2024

Amazon Q Business provides a rich set of APIs to perform administrative tasks and to build an AI assistant with customized user experience for your enterprise. In this post, we show how to use Amazon Q Business APIs when using AWS Identity and Access Management (IAM) federation for user access management. The sample scripts samlapp.py

APIs

APIs Scripts Management Enterprise

Customer Contact Central

Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

Trending Sources

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

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

What is Automation Testing and Why is it Important?

Gemma is now available in Amazon SageMaker JumpStart

Training large language models on Amazon SageMaker: Best practices

Improve price performance of your model training using Amazon SageMaker heterogeneous clusters

Build repeatable, secure, and extensible end-to-end machine learning workflows using Kubeflow on AWS

Deep demand forecasting with Amazon SageMaker

How Clearwater Analytics is revolutionizing investment management with generative AI and Amazon SageMaker JumpStart

The Challenges of Maintaining and Upgrading Call Center Infrastructure

Get smarter search results with the Amazon Kendra Intelligent Ranking and OpenSearch plugin

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

Bring SageMaker Autopilot into your MLOps processes using a custom SageMaker Project

Transform Your Business with a Virtual Call Center Solution

Implement secure API access to your Amazon Q Business applications with IAM federation user access management

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