AWS Machine Learning

APRIL 18, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon with a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Scripts 105

Scripts Best practices Engineering Accountability 105

AWS Machine Learning

APRIL 11, 2023

These customers need to balance governance, security, and compliance against the need for machine learning (ML) teams to quickly access their data science environments in a secure manner. One important aspect of this foundation is to organize their AWS environment following a multi-account strategy.

APIs 70

APIs Accountability Scripts Enterprise 70

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. Make sure you have the credentials and permissions to deploy the AWS CDK stack into your account. The steps are as follows: Open AWS Cloud9 on the console.

Scripts 74

Scripts Best practices Transportation Construction 74

AWS Machine Learning

JULY 29, 2022

In part 1 , we addressed the data steward persona and showcased a data mesh setup with multiple AWS data producer and consumer accounts. The central data governance block 2 (center) acts as a centralized data catalog with metadata of various registered data products. Data exploration.

Scripts 71

Scripts Analytics Accountability Engineering 71

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 104

Engineering Accountability Construction APIs 104

AWS Machine Learning

MAY 8, 2023

It offers many native capabilities to help manage ML workflows aspects, such as experiment tracking, and model governance via the model registry. This can be a challenge for enterprises in regulated industries that need to keep strong model governance for audit purposes. Now let’s dive deeper into the details.

APIs 71

APIs Government Accountability Scripts 71

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 96

APIs Healthcare Scripts Engineering 96

AWS Machine Learning

SEPTEMBER 18, 2023

Trained models can be stored, versioned, and tracked in Amazon SageMaker Model Registry for governance and management. Each stage in the ML workflow is broken into discrete steps, with its own script that takes input and output parameters. Let’s look at sections of the scripts that perform this data preprocessing.

Scripts 101

Scripts APIs Government Construction 101

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 78

Scripts Accountability Metrics APIs 78

NobelBiz

APRIL 9, 2024

In this comprehensive article, we delve into the details of call center compliance , exploring its significance, the laws and regulations governing it, common mistakes to avoid, and best practices for ensuring adherence. The Health Insurance Portability and Accountability Act (HIPAA), enacted in 1996, fundamentally shapes the U.S.

Call Center 104

Call Center Telemarketing Healthcare Government 104

AWS Machine Learning

JUNE 27, 2023

Machine Learning Operations (MLOps) provides the technical solution to this issue, assisting organizations in managing, monitoring, deploying, and governing their models on a centralized platform. At-scale, real-time image recognition is a complex technical problem that also requires the implementation of MLOps.

Engineering 96

Engineering APIs Scripts Entertainment 96

AWS Machine Learning

MAY 3, 2023

With Amazon Bedrock , you will be able to choose Amazon Titan , Amazon’s own LLM, or partner LLMs such as those from AI21 Labs and Anthropic with APIs securely without the need for your data to leave the AWS ecosystem. You can deploy this solution in your AWS account using the step-by-step guide in this post.

Enterprise 68

Enterprise APIs Chatbots Government 68

AWS Machine Learning

OCTOBER 19, 2022

This CloudFormation template provided in this post provisions the EC2 instance and installs RStudio using the user data script. Before you run the CloudFormation template, make sure that you have the Amazon EC2 key pair in the AWS account that you’re planning to use. Container IAM role. Instance IAM role. About the authors.

Analytics 81

Analytics APIs Scripts Government 81

AWS Machine Learning

MARCH 14, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon via a single API. This improves efficiency and allows larger contexts to be used. This supports safer adoption.

Best practices 107

Best practices Engineering Chatbots Enterprise 107

Pointillist

JULY 25, 2018

Pointillist can handle data in all forms, whether it is in tables, excel files, server logs, or 3rd party APIs. During onboarding, the data will remain on your Pointillist-hosted SFTP server until the customer success team has created and quality-checked the requisite ingestion script. Governance. Getting Data into Pointillist.

Analytics 93

Analytics Government APIs Metrics 93

AWS Machine Learning

SEPTEMBER 9, 2022

Access to AWS services from Katib and from pipeline pods using the AWS IAM Roles for Service Accounts (IRSA) integration with Kubeflow Profiles. Each project maintained detailed documentation that outlined how each script was used to build the final model. AWS Secrets Manager to protect secrets needed to access your applications.

Engineering 76

Engineering Healthcare APIs Scripts 76

NobelBiz

JUNE 26, 2023

Example 2: Health Insurance Portability and Accountability Act (HIPAA) For call centers dealing with healthcare information, maintaining compliance with HIPAA is a major challenge. For example, integrating a new payment processing system may inadvertently expose cardholder data, violating PCI DSS and potentially leading to heavy fines.

Call Center 52

Call Center Interactive Voice Response call center software CRM 52

AWS Machine Learning

JUNE 14, 2023

Every organization has its own set of standards and practices that provide security and governance for their AWS environment. You can also add your own Python scripts and transformations to customize workflows. Prerequisites This walkthrough includes the following prerequisites: An AWS account. Python code file.

Best practices 78

Best practices Scripts Engineering Education 78

Pointillist

JULY 25, 2018

Pointillist can handle data in all forms, whether it is in tables, excel files, server logs, or 3rd party APIs. During onboarding, the data will remain on your Pointillist-hosted SFTP server until the customer success team has created and quality-checked the requisite ingestion script. This process typically takes 1-2 days.

Analytics 43

Analytics Metrics Government Journey mapping 43

CallSource Insights

NOVEMBER 15, 2018

Setting up Google Analytics is simple: you add the script to the right place on your website and you are good to go. The structure of every Google Analytics instance is as follows: Account > Property > View. The Account. You can have access (per user) to 100 maximum accounts. The maximum is 50 per account.

Analytics 70

Analytics Accountability Marketing APIs 70