AWS Machine Learning

FEBRUARY 29, 2024

With built-in security, cost-effectiveness, and a range of pre-built tools like Amazon SageMaker Autopilot , Amazon SageMaker JumpStart , and Amazon SageMaker Feature store , SageMaker Studio is a powerful platform for accelerating AI projects and empowering data scientists at every level of expertise.

APIs 92

APIs Construction Transportation Analytics 92

AWS Machine Learning

DECEMBER 14, 2023

It provides access to the most comprehensive set of tools for each step of ML development, from preparing data to building, training, deploying, and managing ML models. After you stop the Space, you can modify its settings using either the UI or API via the updated SageMaker Studio interface and then restart the Space.

APIs 92

APIs Engineering Management Scripts 92

AWS Machine Learning

MARCH 19, 2024

PandasAI is a Python library that adds generative AI capabilities to pandas, the popular data analysis and manipulation tool. However, complex NLQs, such as time series data processing, multi-level aggregation, and pivot or joint table operations, may yield inconsistent Python script accuracy with a zero-shot prompt. setup.sh. (a

Construction 108

Construction Scripts APIs Enterprise 108

NobelBiz

APRIL 9, 2024

call centers that handle patient information on behalf of healthcare providers and organizations are obligated to comply with the Health Insurance Portability and Accountability Act (HIPAA) that sets standards for the security and privacy of sensitive patient health information. HIPAA Regulations: In the U.S.,

Call Center 104

Call Center Telemarketing Healthcare Government 104

AWS Machine Learning

JULY 24, 2023

In contrast, in a framework-specific serving tool, such as TensorFlow Serving, the model’s name and version are part of the endpoint name. If the model changes on the server side, the client has to know and change its API call to the new endpoint accordingly. install the CLI tools by following this guide.

Scripts 70

Scripts APIs Engineering Best practices 70

Real Blue Sky

MAY 18, 2022

And that is why we have devoted this space to a series of articles about #EmployeeExperience – taking a deep dive into topics like tools, training, work environment, culture, and more. This month, we are focused on how the right tools can transform the #EX – tools like AI, the composable desktop, self-service and PRB.

Interactive Voice Response 52

Interactive Voice Response Self service APIs Contact Center 52

AWS Machine Learning

APRIL 17, 2024

Metrics are exposed to Amazon Managed Service for Prometheus by the neuron-monitor DaemonSet, which deploys a minimal container, with the Neuron tools installed. AWS CDK bootstrapping is needed for each account and Region combination, so if you already bootstrapped AWS CDK in a Region, you don’t need to repeat the bootstrapping process.

APIs 90

APIs Metrics Accountability Management 90

AWS Machine Learning

DECEMBER 22, 2023

Generative AI agents are capable of producing human-like responses and engaging in natural language conversations by orchestrating a chain of calls to foundation models (FMs) and other augmenting tools based on user input. The agent is equipped with tools that include an Anthropic Claude 2.1

Scripts 92

Scripts Chatbots Accountability Multi-channel support 92

AWS Machine Learning

SEPTEMBER 26, 2023

Additionally, local build of the individual containers helps in the iterative process of development and testing with favorite tools and Integrated Development Environments (IDEs). You’ll also need an AWS account with access to Amazon SageMaker, Amazon ECR and Amazon S3 to test this application end-to-end. preprocessing.py

Scripts 96

Scripts APIs Accountability Construction 96

AWS Machine Learning

AUGUST 29, 2023

Solution overview The following figure illustrates the proposed target MLOps architecture for enterprise batch inference for organizations who use GitLab CI/CD and Terraform infrastructure as code (IaC) in conjunction with AWS tools and services. The central model registry could optionally be placed in a shared services account as well.

Scripts 70

Scripts APIs Enterprise Accountability 70

AWS Machine Learning

JANUARY 5, 2024

Data science and DevOps teams may face challenges managing these isolated tool stacks and systems. Integrating multiple tool stacks to build a compact solution might involve building custom connectors or workflows. There are dependencies and complexities with integrating third-party tools into the MLOps pipeline.

Management 103

Management APIs Engineering Government 103

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. For this tutorial, you’ll need a bash terminal on Linux , Mac , or Windows Subsystem for Linux , and an AWS account.

Scripts 76

Scripts APIs Engineering Transportation 76

AWS Machine Learning

NOVEMBER 14, 2023

Examples include: Cultivating distrust in the media Undermining the democratic process Spreading false or discredited science (for example, the anti-vax movement) Advances in artificial intelligence (AI) and machine learning (ML) have made developing tools for creating and sharing fake news even easier.

APIs 103

APIs Engineering Scripts Education 103

AWS Machine Learning

JUNE 23, 2023

It can be cumbersome to manage the process, but with the right tool, you can significantly reduce the required effort. FastAPI is a modern, high-performance web framework for building APIs with Python. Log in to your account and choose the Region where you want to deploy the solution. To build this image locally, we need Docker.

APIs 84

APIs Scripts Engineering Accountability 84

Nexmo

OCTOBER 7, 2020

Vonage API Account. To complete this tutorial, you will need a Vonage API account. Once you have an account, you can find your API Key and API Secret at the top of the Vonage API Dashboard. Web Component polyfill --> <script src="[link]. <!-- A GitHub account.

APIs 118

APIs Scripts Accountability 118

AWS Machine Learning

APRIL 5, 2024

By providing authorities with the tools and insights they need to make informed decisions about environmental and social impact, Gramener is playing a vital role in building a more sustainable future. With the SearchRasterDataCollection API, SageMaker provides a purpose-built functionality to facilitate the retrieval of satellite imagery.

APIs 97

APIs Engineering Analytics Healthcare 97

AWS Machine Learning

AUGUST 10, 2023

As recommended by AWS as a best practice , customers have used separate accounts to simplify policy management for users and isolate resources by workloads and account. SageMaker services, such as Processing, Training, and Hosting, collect metrics and logs from the running instances and push them to users’ Amazon CloudWatch accounts.

Scripts 75

Scripts Accountability Metrics APIs 75

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.

Scripts 48

Scripts Call Center APIs Analytics 48

AWS Machine Learning

FEBRUARY 19, 2024

Inference API – The server exposes an API that allows client applications to send input data and receive predictions from the deployed models. Different request handlers will provide support for the Inference API , Management API , or other APIs available from various plugins.

APIs 88

APIs Engineering Scripts Metrics 88

AWS Machine Learning

APRIL 29, 2024

This often means the method of using a third-party LLM API won’t do for security, control, and scale reasons. It provides an approachable, robust Python API for the full infrastructure stack of ML/AI, from data and compute to workflows and observability. The following figure illustrates this workflow.

APIs 93

APIs Engineering Scripts Management 93

AWS Machine Learning

APRIL 23, 2024

Prerequisites To use Local Mode in SageMaker Studio applications, you must complete the following prerequisites: For pulling images from Amazon Elastic Container Registry (Amazon ECR), the account hosting the ECR image must provide access permission to the user’s Identity and Access Management (IAM) role.

Scripts 90

Scripts APIs Engineering Feedback 90

AWS Machine Learning

AUGUST 4, 2023

In Part 1 , we show how the Salesforce Data Cloud and Einstein Studio integration with SageMaker allows businesses to access their Salesforce data securely using SageMaker and use its tools to build, train, and deploy models to endpoints hosted on SageMaker. frameworks to restrict client access to your APIs.

APIs 75

APIs Scripts Management Accountability 75

AWS Machine Learning

SEPTEMBER 12, 2023

Solution overview Scalable Capital’s ML infrastructure consists of two AWS accounts: one as an environment for the development stage and the other one for the production stage. When the exploratory phase is complete, we turn to VSCode hosted by a SageMaker notebook as our remote development tool to modularize and productionize our code base.

Management 90

Management APIs CRM Metrics 90

AWS Machine Learning

SEPTEMBER 11, 2023

SageMaker Studio is a fully integrated development environment (IDE) that provides a single web-based visual interface where you can access purpose-built tools to perform all ML development steps, from preparing data to building, training, and deploying your ML models, improving data science team productivity by up to 10x.

Scripts 89

Scripts APIs Management Engineering 89

AWS Machine Learning

NOVEMBER 22, 2023

Amazon Bedrock is a fully managed service that offers an easy-to-use API for accessing foundation models for text, image, and embedding. Amazon Location offers an API for maps, places, and routing with data provided by trusted third parties such as Esri, HERE, Grab, and OpenStreetMap.

APIs 87

APIs Scripts Engineering Accountability 87

Totango

APRIL 26, 2021

Digital Engagement – Living in a digital world means timely digital tools to manage, visualize, and drive the digital journey. Campaigns, SuccessPlays, Account, and User segments with more than one collection criteria now returns accurate results when all the collection criteria match the same collection record.

Scripts 62

Scripts APIs Customer retention Enterprise 62

AWS Machine Learning

MAY 10, 2023

Today, data scientists who are training deep learning models need to identify and remediate model training issues to meet accuracy targets for production deployment, and require a way to utilize standard tools for debugging model training. is your training script, and simple_tensorboard.ipynb launches the SageMaker training job.

Scripts 71

Scripts Metrics Construction APIs 71

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). The MSA step in the protein folding workflow is computationally intensive and can account for a majority of the inference time. If you need to customize the OpenFold APIs, use the fastapi-server.py

APIs 74

APIs Scripts Banking Engineering 74

AWS Machine Learning

DECEMBER 6, 2023

Another driver behind RAG’s popularity is its ease of implementation and the existence of mature vector search solutions, such as those offered by Amazon Kendra (see Amazon Kendra launches Retrieval API ) and Amazon OpenSearch Service (see k-Nearest Neighbor (k-NN) search in Amazon OpenSearch Service ), among others.

Analytics 95

Analytics APIs Engineering Construction 95

AWS Machine Learning

MAY 23, 2023

Model data is stored on Amazon Simple Storage Service (Amazon S3) in the JumpStart account. The web application interacts with the models via Amazon API Gateway and AWS Lambda functions as shown in the following diagram. Prerequisites You must have the following prerequisites: An AWS account The AWS CLI v2 Python 3.6

APIs 87

APIs Accountability Construction Management 87

AWS Machine Learning

MAY 31, 2023

Triton with PyTorch backend The PyTorch backend is designed to run TorchScript models using the PyTorch C++ API. Alternatively, you can use ensemble models or business logic scripting. Prerequisites You first need an AWS account and an AWS Identity and Access Management (IAM) administrator user. We save the model as a model.pt

APIs 78

APIs Scripts Engineering Accountability 78

AWS Machine Learning

SEPTEMBER 14, 2023

Unstructured data accounts for 80% of all the data found within organizations, consisting of repositories of manuals, PDFs, FAQs, emails, and other documents that grows daily. Amazon API Gateway hosts a REST API with various endpoints to handle user requests that are authenticated using Amazon Cognito.

APIs 88

APIs Healthcare Scripts Engineering 88

AWS Machine Learning

APRIL 27, 2023

Note all necessary software, drivers, and tools have already been installed on the DLAMIs, and only the activation of the Python environment is needed to start working with the tutorial. Finally, the custom library is built by calling the load API. We reference the CustomOps functionality available in Neuron as “Neuron CustomOps.”

APIs 71

APIs Engineering Scripts Benchmark 71

VirtualPBX

NOVEMBER 10, 2020

One of our primary goals at VirtualPBX is to make our phone system features extensible through other tools you might already use at your business. In our case, we built connections to Zapier and the VirtualPBX API to automate the receipt of new text messages and provide an interface for sending individual replies to customers.

APIs 75

APIs Accountability Scripts Marketing 75

AWS Machine Learning

SEPTEMBER 18, 2023

Each stage in the ML workflow is broken into discrete steps, with its own script that takes input and output parameters. In the following code, the desired number of actors is passed in as an input argument to the script. Let’s look at sections of the scripts that perform this data preprocessing. get("OfflineStoreConfig").get("S3StorageConfig").get("ResolvedOutputS3Uri")

Scripts 93

Scripts APIs Government Construction 93

AWS Machine Learning

SEPTEMBER 1, 2023

Solution overview To get responses streamed back from SageMaker, you can use our new InvokeEndpointWithResponseStream API. To take advantage of the new streaming API, you need to make sure the model container returns the streamed response as chunked encoded data. For details, refer to Creating an AWS account.

APIs 83

APIs Chatbots Engineering Best practices 83

NobelBiz

APRIL 23, 2024

Account Setup and Verification : Upon receiving a debt, the agency sets up an account for the debtor and verifies all the details. Call centers are equipped with tools that allow agents to quickly access a debtor’s full account information, ensuring that every interaction is informed and constructive.

Customer centricity 94

Customer centricity Contact Center Technology Telemarketing 94