AWS Machine Learning

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Best practices 122

Best practices Government Engineering Accountability 122

AWS Machine Learning

NOVEMBER 2, 2023

Amazon Bedrock is a fully managed service that makes foundation models from leading AI startups and Amazon available via easy-to-use API interfaces. The solution also uses the grammatical error correction API and the paraphrase API from AI21 to recommend word and sentence corrections.

APIs 103

APIs Education Transportation Accountability 103

AWS Machine Learning

OCTOBER 19, 2023

In this post, we discuss how to use the Custom Moderation feature in Amazon Rekognition to enhance the accuracy of your pre-trained content moderation API. The unique ID of the trained adapter can be provided to the existing DetectModerationLabels API operation to process images using this adapter.

APIs 107

APIs Best practices Advertising Accountability 107

AWS Machine Learning

MARCH 1, 2024

Some examples include a customer calling to check on the status of an order and receiving an update from a bot, or a customer needing to submit a renewal for a license and the chatbot collecting the necessary information, which it hands over to an agent for processing. Set up an AWS account with the appropriate permissions.

Chatbots 93

Chatbots APIs Self service Contact Center 93

AWS Machine Learning

APRIL 18, 2024

It’s straightforward to deploy in your AWS account. Prerequisites You need to have an AWS account and an AWS Identity and Access Management (IAM) role and user with permissions to create and manage the necessary resources and components for this application. Everything you need is provided as open source in our GitHub repo.

APIs 108

APIs Accountability Analytics Entertainment 108

AWS Machine Learning

NOVEMBER 17, 2023

In this post, we explain the common practice of live stream visual moderation with a solution that uses the Amazon Rekognition Image API to moderate live streams. You can deploy this solution to your AWS account using the AWS Cloud Development Kit (AWS CDK) package available in our GitHub repo.

APIs 88

APIs Engineering Advertising Accountability 88

AWS Machine Learning

JUNE 15, 2023

It features interactive Jupyter notebooks with self-contained code in PyTorch, JAX, TensorFlow, and MXNet, as well as real-world examples, exposition figures, and math. We also recommend best practices when using Amazon Translate in this automatic translation pipeline to ensure translation quality and efficiency.

APIs 74

APIs Benchmark Best practices Engineering 74

AWS Machine Learning

NOVEMBER 22, 2023

All of the AWS AI services (for example, Amazon Textract , Amazon Comprehend , or Amazon Comprehend Medical ) used in IDP solutions are fully managed AI services where AWS secures their physical infrastructure, API endpoints, OS, and application code, and handles service resilience and failover within a given region.

APIs 82

APIs Accountability Enterprise Transportation 82

AWS Machine Learning

NOVEMBER 17, 2022

Yara has built APIs using Amazon API Gateway to expose the sensor data to applications such as ELC. Extendibility – It can deploy to new Regions and accounts. SageMaker Model Monitor APIs offer data and model quality monitoring. ELC is a process optimization use case and is deployed to optimize workload accounts.

APIs 92

APIs Accountability Metrics Engineering 92

AWS Machine Learning

MARCH 12, 2024

The following are key concepts and prerequisites to use AWS Clean Rooms: Each party in the analysis (collaboration member) needs to have an AWS account. The collaboration creator uses the invitee’s AWS account ID as input to send invitations. Prerequisites To invite another person to a collaboration, you need their AWS account ID.

Advertising 98

Advertising Accountability APIs Best practices 98

AWS Machine Learning

OCTOBER 4, 2023

Amazon API Gateway invokes the Patient View Hooks AWS Lambda function. API Gateway invokes the Coverage Requirements Hooks Lambda function. The cards returned from the API indicate that the patient has a sinus infection health condition and the doctor may need to order a prescription.

Healthcare 89

Healthcare APIs Transportation Education 89

AWS Machine Learning

OCTOBER 18, 2023

The solution uses the following services: Amazon API Gateway is a fully managed service that makes it easy for developers to publish, maintain, monitor, and secure APIs at any scale. Purina’s solution is deployed as an API Gateway HTTP endpoint, which routes the requests to obtain pet attributes.

APIs 94

APIs Metrics Consulting Consulting 94

AWS Machine Learning

NOVEMBER 22, 2023

By using the Framework, you will learn operational and architectural best practices for designing and operating reliable, secure, efficient, cost-effective, and sustainable workloads in the cloud. For example: With Amazon CloudWatch, you could monitor the number of documents processed through Amazon Textract.

Best practices 83

Best practices Metrics Feedback Enterprise 83

AWS Machine Learning

SEPTEMBER 1, 2023

Each business unit has each own set of development (automated model training and building), preproduction (automatic testing), and production (model deployment and serving) accounts to productionize ML use cases, which retrieve data from a centralized or decentralized data lake or data mesh, respectively.

Engineering 102

Engineering Accountability Construction APIs 102

AWS Machine Learning

MARCH 23, 2023

To demonstrate this, we show an example of customizing an Amazon SageMaker Scikit-learn, open sourced, deep learning container to enable a deployed endpoint to accept client-side encrypted inference requests. Although this example shows how to perform this for inference operations, you can extend the solution to training and other ML steps.

Scripts 95

Scripts APIs Government Analytics 95

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. In this post, we share best practices to deploy deep learning models with FastAPI on AWS Inferentia NeuronCores. For example, NEURON_RT_NUM_CORES=2 myapp.py Next set the default region in the same file.

Scripts 73

Scripts APIs Engineering Best practices 73

AWS Machine Learning

DECEMBER 14, 2023

The evolution continued in April 2023 with the introduction of Amazon Bedrock , a fully managed service offering access to cutting-edge foundation models, including Stable Diffusion, through a convenient API. The following are examples of images generated from Stable Diffusion XL using the prompts from semantic search and prompt generation.

Entertainment 93

Entertainment Construction APIs Engineering 93

AWS Machine Learning

JUNE 5, 2023

For example, when a neural network is trained, the weight of the network nodes is learned from the training, and indicates how much impact it has on the final prediction. The number of hidden layers and the number of nodes are some of the examples of hyperparameters you can set for a neural network.

APIs 76

APIs Enterprise Benchmark Metrics 76

pindrop

JULY 6, 2021

There are frequent security issues possibly leading to account takeovers. On an inbound call, businesses can use the ANI to search their own database for a match with an existing customer account. In order to safely match an ANI with an existing account, businesses must first validate that the ANI has not been changed or manipulated.

Contact Center 70

Contact Center Average Handle Time APIs Best practices 70

Serenova

JUNE 24, 2020

The most valuable contact center solutions are designed to fit into your ecosystem with pre-built integrations and also offer integrations using APIs. As people shift from social media to chat to a live agent, their complete histories and account details go with them. Constant Information Gathering Along the Customer Journey.

Contact Center 98

Contact Center Multichannel contact center solutions Cloud contact 98

AWS Machine Learning

APRIL 24, 2023

In this post, we explore how AWS customer Pro360 used the Amazon Comprehend custom classification API , which enables you to easily build custom text classification models using your business-specific labels without requiring you to learn machine learning (ML), to improve customer experience and reduce operational costs.

APIs 62

APIs Customer Experience Feedback Chatbots 62

Serenova

JUNE 24, 2020

The most valuable contact center solutions are designed to fit into your ecosystem with pre-built integrations and also offer integrations using APIs. As people shift from social media to chat to a live agent, their complete histories and account details go with them. Constant Information Gathering Along the Customer Journey.

Contact Center 98

Contact Center Multichannel contact center solutions Cloud contact 98

AWS Machine Learning

DECEMBER 12, 2023

This is just one example of how you can enrich Chat Studio with additional integrations to meet your goals. The following screenshots show examples of what a user query and response look like. Prerequisites To walk through the solution, you must have the following prerequisites: An AWS account with sufficient IAM user privileges.

Chatbots 99

Chatbots Enterprise APIs Best practices 99

AWS Machine Learning

JULY 29, 2022

For example, in the financial services industry, you can use AI and ML to solve challenges around fraud detection, credit risk prediction, direct marketing, and many others. Create accountability on data providers from individual LoBs to share curated data assets that are discoverable, understandable, interoperable, and trustworthy.

Government 77

Government Banking Analytics Accountability 77

AWS Machine Learning

APRIL 12, 2023

The documents being used in this example are a subset of AWS public documents. When an Amazon Kendra index receives a query API call with a user access token, it validates the token using a shared secret key (stored securely in AWS Secrets Manager ) and gets parameters such as username and groups in the payload. Choose Apply token.

Enterprise 88

Enterprise APIs Engineering Management 88

Totango

MAY 17, 2023

With this end-to-end visibility, Veriforce’s example demonstrates why CS leaders can be the new shepherds of outcome-driven alignment for customers. At Totango, as a partner in our executive sponsor program, I focus on aligning with our internal teams to fully understand the goals for each account for which I’m responsible.

Sales 107

Sales Marketing Metrics APIs 107

AWS Machine Learning

FEBRUARY 29, 2024

You can also add data incrementally by importing records using the Amazon Personalize console or API. Prerequisites You should have the following prerequisites: An AWS account. For example: [link].es.amazonaws.com. The user gets personalized search results based on their preferences and interactions. es.amazonaws.com.

Personalization 89

Personalization Accountability Entertainment Construction 89

AWS Machine Learning

MARCH 14, 2024

By the end, you will have solid guidelines and a helpful flow chart for determining the best method to develop your own FM-powered applications, grounded in real-life examples. The following screenshot shows an example of a zero-shot prompt with the Anthropic Claude 2.1 In these instructions, we didn’t provide any examples.

Best practices 104

Best practices Engineering Chatbots Enterprise 104

CustomerSuccessBox

APRIL 3, 2022

Find your access credentials and API key information below. An API key is available under xxxxxxxxxxxxxxxxx Technical Resources Also find the resources for your tech team, if they wish to review. Cheers, CSM Journey templates (example-playbooks). For example- sending alerts for checking out playbooks.

APIs 52

APIs Accountability SaaS Marketing 52

AWS Machine Learning

AUGUST 1, 2023

Furthermore, proprietary models typically come with user-friendly APIs and SDKs, streamlining the integration process with your existing systems and applications. It offers an easy-to-use API and Python SDK, balancing quality and affordability. For this example, we used the settings shown in the following screenshot.

Healthcare 74

Healthcare APIs Scripts Engineering 74

AWS Machine Learning

NOVEMBER 16, 2023

The more detailed AI ToolSuite requirements were driven by three example use cases: Develop a computer vision application aimed at object detection at the edge. These capabilities are essential for demonstrating compliance with regulatory standards and ensuring transparency and accountability in AI/ML workflows.

Healthcare 88

Healthcare Government Engineering APIs 88

Quiq

JUNE 22, 2022

Use Google business messaging API to connect via a third-party app, like Quiq. Provide personalized recommendations: Help customers get closer to what they need with tailored suggestions that account for their unique concerns and motivations. Uplevel your brand and image by following messaging platform best practices.

Sales 56

Sales APIs Best practices Analytics 56

AWS Machine Learning

SEPTEMBER 8, 2023

The TextractAsync task calls Amazon Textract using the asynchronous Application Programming Interface (API) following best practices with Amazon Simple Notification Service ( Amazon SNS ) notifications and OutputConfig to store the Amazon Textract JSON output to a customer Amazon S3 bucket.

Construction 102

Construction Metrics Best practices APIs 102

Inbenta

SEPTEMBER 4, 2018

After a more recent in-depth review, we’ve outlined the following best practices for securely deployed your AI-based chatbot onto your site. Secure your access to RESTful API services. Choose providers with at least access to a RESTful API with a two-layer authentication. Understanding the risks. Secure your webhooks.

Chatbots 58

Chatbots APIs Scripts Enterprise 58

AWS Machine Learning

AUGUST 14, 2023

SageMaker JumpStart also provides solution templates that set up infrastructure for common use cases, and executable example notebooks for machine learning (ML) with SageMaker. Although we’ve used and tested Falcon-40b-instruct for this example, you may use any Hugging Face model available on SageMaker.

Enterprise 69

Enterprise Scripts Best practices Analytics 69

AWS Machine Learning

JULY 19, 2022

For the purpose of our example, we requested the speech mark type as word. We set the OutputFormat to mp3 , which tells Amazon Polly to generate an audio stream for this API call. We again use the start_speech_synthesis_task method but specify OutputFormat to json , which tells Amazon Polly to generate speech marks for this API call.

Engineering 84

Engineering APIs Education Best practices 84

AWS Machine Learning

NOVEMBER 9, 2022

For example, an application for revising English composition always includes several models, such as BERT for text classification and GECToR to grammar checking. A complete API call from the client is as follows: The client assembles the request and initiates the request to a SageMaker endpoint. We use YOLOv5 as an example.

Engineering 79

Engineering Accountability APIs Metrics 79