AWS Machine Learning

JANUARY 9, 2023

Amazon Kendra provides a fully managed intelligent search service that automates document ingestion and provides highly accurate search and FAQ results based on content across many data sources. For more information about the fully managed service, please visit the Amazon Kendra service page.

Scripts 79

Scripts APIs Engineering Transportation 79

AWS Machine Learning

JULY 24, 2023

If the model changes on the server side, the client has to know and change its API call to the new endpoint accordingly. Clone the Github repository The GitHub repo provides all the scripts necessary to deploy models using FastAPI on NeuronCores on AWS Inferentia instances. code as the entry point. compiled-model-bs-{batch_size}.pt')

Scripts 73

Scripts APIs Engineering Best practices 73

AWS Machine Learning

AUGUST 4, 2023

When a version of the model in the Amazon SageMaker Model Registry is approved, the endpoint is exposed as an API with Amazon API Gateway using a custom Salesforce JSON Web Token (JWT) authorizer. frameworks to restrict client access to your APIs. Search for App Manager and create a new connected app.

APIs 78

APIs Scripts Management Accountability 78

JustCall

APRIL 3, 2024

Automation features and open API: An auto dialer offers open APIs so your developers can- – Build automation workflows for call logging, – Build workflows for notes logging – Help with reporting and analytics tasks (i.e., Open API for custom integrations and workflows. creating visualizations such as charts).

Sales 52

Sales CRM Scripts APIs 52

Spearline

JULY 21, 2022

And testingRTC offers multiple ways to export these metrics, from direct collection from webhooks, to downloading results in CSV format using the REST API. Flip the script With testingRTC, you only need to write scripts once, you can then run them multiple times and scale them up or down as you see fit. Happy days!

Scripts 98

Scripts APIs Metrics Analytics 98

Zingtree

APRIL 14, 2015

We’re proud to announce that we’ve “officially” launched our Agent Scripting for call centers. Zingtree Interactive Decision Tree System Redefines Call Center Agent Scripting with New App. New agent scripting tools aid in training and corporate compliance for call center applications. Press release time

Scripts 48

Scripts Call Center APIs Analytics 48

AWS Machine Learning

DECEMBER 21, 2022

Amazon SageMaker Feature Store is a purpose-built feature management solution that helps data scientists and ML engineers securely store, discover, and share curated data used in training and prediction workflows. SageMaker Feature Store consists of an online and an offline mode for managing features.

Scripts 73

Scripts Engineering APIs Big data 73

NobelBiz

APRIL 9, 2024

Call Quality Assurance and Ongoing Training Maintaining and improving quality assurance and providing ongoing training are essential components of effective call center management. Well-crafted scripts help agents navigate conversations effectively while maintaining compliance with regulatory requirements.

Call Center 105

Call Center Telemarketing Healthcare Government 105

AWS Machine Learning

NOVEMBER 8, 2022

Amazon SageMaker is a fully-managed service that provides every developer and data scientist with the ability to quickly build, train, and deploy machine learning (ML) models at scale. Serverless Inference is a great option when you have intermittent traffic and don’t want to manage infrastructure scaling. ML is realized in inference.

Scripts 64

Scripts APIs Best practices Management 64

AWS Machine Learning

NOVEMBER 14, 2022

You need to complete three steps to deploy your model: Create a SageMaker model: This will contain, among other parameters, the information about the model file location, the container that will be used for the deployment, and the location of the inference script. (If The inference script URI is needed in the INFERENCE_SCRIPT_S3_LOCATION.

Scripts 81

Scripts APIs Best practices Engineering 81

AWS Machine Learning

NOVEMBER 26, 2023

Whether you’re looking for a managed solution or build your own, you can use these new capabilities to power your journey. Amazon Personalize is a fully managed machine learning (ML) service that makes it easy for developers to deliver personalized experiences to their users.

Personalization 101

Personalization Customer Experience APIs Entertainment 101

AWS Machine Learning

MAY 31, 2023

Once configured, the Python SDK automatically inherits these values and propagates them to the underlying SageMaker API calls such as CreateProcessingJob() , CreateTrainingJob() , and CreateEndpointConfig() , with no additional actions needed. Additionally, each API call can have its own configurations.

APIs 78

APIs Scripts Accountability Enterprise 78

AWS Machine Learning

SEPTEMBER 28, 2022

SageMaker is a fully managed machine learning (ML) service. Additionally, you don’t need to manage servers. The SageMakerMigration class consists of high-level abstractions over SageMaker APIs that significantly reduce the steps needed to deploy your model to SageMaker, as illustrated in the following figure.

Scripts 74

Scripts APIs Engineering Consulting 74

AWS Machine Learning

OCTOBER 25, 2022

Model weights are available via scripts in the GitHub repository , and the MSAs are hosted by the Registry of Open Data on AWS (RODA). Amazon EKS is a managed container service to run and scale Kubernetes applications on AWS. The scripts to download and unzip the data are available in the download-openfold-data/scripts folder.

APIs 76

APIs Scripts Banking Engineering 76

AWS Machine Learning

JUNE 15, 2022

If you just want to read about this feature without running it yourself, you can refer to the Python script facet-search-query.py To deploy and experiment with the solution in this post, make sure that you have the following: An AWS account with privileges to create AWS Identity and Access Management (IAM) roles and policies.

APIs 71

APIs Scripts Technology Engineering 71

AWS Machine Learning

FEBRUARY 15, 2023

You can fine-tune and deploy JumpStart models using the UI in Amazon SageMaker Studio or using the SageMaker Python SDK extension for JumpStart APIs. This post focuses on how we can implement MLOps with JumpStart models using JumpStart APIs, Amazon SageMaker Pipelines , and Amazon SageMaker Projects. sm_client = boto3.client("sagemaker")

Scripts 83

Scripts APIs Engineering Enterprise 83

AWS Machine Learning

JANUARY 12, 2023

Amazon API Gateway with AWS Lambda integration that converts the input text to the target language using the Amazon Translate SDK. The following steps set up API Gateway, Lambda, and Amazon Translate resources using the AWS CDK. Take note of the API key and the API endpoint created during the deployment. Prerequisites.

Customer Support 77

Customer Support APIs Scripts Enterprise 77

AWS Machine Learning

OCTOBER 2, 2023

The focus on managed and serverless services reduces the need to operate infrastructure for your pipeline and allows you to get started quickly. To facilitate the labeling and manage our workforce, we use Amazon SageMaker Ground Truth , a data labeling service that allows you to build and manage your own data labeling workflows and workforce.

Scripts 91

Scripts Construction Engineering APIs 91

AWS Machine Learning

AUGUST 19, 2022

Amazon SageMaker is a fully managed machine learning (ML) platform that could help data scientists focus on models instead of infrastructure, with native support for bring-your-own-algorithms and frameworks such as TensorFlow and PyTorch. SageMaker provisions the infrastructure and runs your script with MPI. Data pipelines.

Best practices 71

Best practices APIs Scripts Advertising 71

AWS Machine Learning

NOVEMBER 7, 2022

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. If you want to jump straight into the JumpStart API code we go through in this post, you can refer to the following sample Jupyter notebook: Introduction to JumpStart – Text to Image.

APIs 81

APIs Scripts Enterprise Big data 81

AWS Machine Learning

MAY 5, 2023

Therefore, users without ML expertise can enjoy the benefits of a custom labels model through an API call, because a significant amount of overhead is reduced. Following this, we walk through the process of generating a custom label ML model with a fully managed service.

Engineering 101

Engineering APIs Scripts Enterprise 101

Totango

APRIL 26, 2021

Digital Engagement – Living in a digital world means timely digital tools to manage, visualize, and drive the digital journey. As part of the Digital Engagement focus, next week we will share more on how to manage your customers’ digital journey in Totango using SucceasBLOCs. In Kyoto, we’re investing in: .

Scripts 62

Scripts APIs Customer retention Enterprise 62

AWS Machine Learning

MARCH 23, 2023

Applications and services can call the deployed endpoint directly or through a deployed serverless Amazon API Gateway architecture. To learn more about real-time endpoint architectural best practices, refer to Creating a machine learning-powered REST API with Amazon API Gateway mapping templates and Amazon SageMaker.

Scripts 94

Scripts APIs Government Analytics 94

AWS Machine Learning

AUGUST 26, 2022

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. The following sections provide a step-by-step demo to perform semantic segmentation with JumpStart, both via the Studio UI and via JumpStart APIs. Solution overview.

APIs 78

APIs Scripts Enterprise Big data 78

VirtualPBX

NOVEMBER 5, 2020

Using The VirtualPBX API to Assist. You can also manage your hooks outside of the VirtualPBX web interface by taking advantage of our API. The VirtualPBX API lets you manage a number of types of data that exist within your phone plan. Our API, in conjunction with popular online services, makes that possible.

Marketing 98

Marketing APIs voip Scripts 98

AWS Machine Learning

APRIL 19, 2023

Our data scientists train the model in Python using tools like PyTorch and save the model as PyTorch scripts. Ideally, we instead want to load the model PyTorch scripts, extract the features from model input, and run model inference entirely in Java. However, a few issues came with this solution.

Engineering 75

Engineering APIs Scripts Education 75

AWS Machine Learning

APRIL 18, 2024

Tools like Terraform and AWS CloudFormation are pivotal for such transitions, offering infrastructure as code (IaC) capabilities that define and manage complex cloud environments with precision. Traditionally, cloud engineers learning IaC would manually sift through documentation and best practices to write compliant IaC scripts.

Scripts 95

Scripts Best practices Engineering Accountability 95

AWS Machine Learning

MAY 10, 2023

When they create a SageMaker training job, domain users can use TensorBoard using the SageMaker Python SDK or Boto3 API. SageMaker with TensorBoard is supported by the SageMaker Data Manager plugin, with which domain users can access many training jobs in one place within the TensorBoard application. session.Session().region_name

Scripts 73

Scripts Metrics Construction APIs 73

AWS Machine Learning

AUGUST 18, 2022

Amazon SageMaker is a fully-managed service for ML, and SageMaker model training is an optimized compute environment for high-performance training at scale. For PyTorch Lightning, generally speaking, there should be little-to-no code changes to simply run these APIs on SageMaker Training.

Scripts 76

Scripts APIs Benchmark Engineering 76

AWS Machine Learning

MAY 23, 2023

Fargate is a technology that you can use with Amazon ECS to run containers without having to manage servers or clusters or virtual machines. The web application interacts with the models via Amazon API Gateway and AWS Lambda functions as shown in the following diagram. View the deployed resources on the AWS Management Console.

APIs 91

APIs Accountability Construction Management 91

AWS Machine Learning

NOVEMBER 7, 2022

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. The following sections provide a step-by-step demo to perform inference, both via the Studio UI and via JumpStart APIs. JumpStart overview. Solution overview.

APIs 75

APIs Scripts Enterprise Big data 75

JustCall

FEBRUARY 28, 2024

And when you think about the range of features the latter offers at $49 per user per month — all 3 dialers, bulk SMS campaigns and workflows, live call monitoring , advanced analytics and reporting, API and webhooks, live call monitoring, and so much more, it is simply astounding. That’s not all! What is the Mojo Dialer?

Real estate 52

Real estate CRM APIs Sales 52

AWS Machine Learning

MARCH 21, 2023

This post introduces a best practice for managing custom code within your Amazon SageMaker Data Wrangler workflow. Instead of hardcoding the custom function into your custom transform step, you pull a script containing the function from CodeCommit, load it, and call the loaded function in your custom transform step.

Scripts 62

Scripts Banking APIs Best practices 62

AWS Machine Learning

JULY 5, 2022

Lifecycle configurations (LCCs) are shell scripts to automate customization for your Studio environments, such as installing JupyterLab extensions, preloading datasets, and setting up source code repositories. LCC scripts are triggered by Studio lifecycle events, such as starting a new Studio notebook. Apply the script (see below).

Scripts 80

Scripts Engineering APIs Consulting 80

AWS Machine Learning

NOVEMBER 1, 2022

Although Autopilot eliminates the heavy lifting of building ML models, MLOps engineers still have to create, automate, and manage end-to-end ML workflows. When the registered model meets the expected performance requirements after a manual review, you can deploy the model to a SageMaker endpoint using a standalone deployment script.

Scripts 77

Scripts APIs Metrics Engineering 77

COPC

OCTOBER 26, 2023

Crafting LLM AI Assistants: Roles, Process and Timelines Using the latest AI may seem as easy as developers using APIs in commercial LLM options like OpenAI. But it’s much more than enlisting engineers to call LLM APIs. LLM interactions differ from prior generations of chatbots, which required scripted interactions.

Technology 77

Technology Customer Experience APIs Consulting 77

AWS Machine Learning

MAY 25, 2023

We implement the RAG functionality inside an AWS Lambda function with Amazon API Gateway to handle routing all requests to the Lambda. We implement a chatbot application in Streamlit which invokes the function via the API Gateway and the function does a similarity search in the OpenSearch Service index for the embeddings of user question.

APIs 76

APIs Enterprise Accountability Chatbots 76