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 73

APIs Customer Experience Feedback Chatbots 73

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 95

Government Management APIs Accountability 95

AWS Machine Learning

JUNE 30, 2022

The corporate portal application makes a private API call using an API Gateway VPC endpoint to create a presigned URL. The API Gateway VPC endpoint “create presigned URL” call is forwarded to the Route 53 inbound resolver on the customer VPC as configured in the corporate DNS. About the Authors.

APIs 91

APIs Enterprise Big data Accountability 91

AWS Machine Learning

JUNE 12, 2024

The customized UI allows you to implement special features like handling feedback, using company brand colors and templates, and using a custom login. Amazon Q uses the chat_sync API to carry out the conversation. For example, you could introduce custom feedback handling features.

APIs 131

APIs Enterprise Accountability Feedback 131

AWS Machine Learning

NOVEMBER 17, 2023

Generative AI models have the potential to revolutionize enterprise operations, but businesses must carefully consider how to harness their power while overcoming challenges such as safeguarding data and ensuring the quality of AI-generated content. As always, AWS welcomes feedback.

APIs 120

APIs Enterprise Big data Chatbots 120

AWS Machine Learning

JUNE 19, 2023

Sync your AD users and groups and memberships to AWS Identity Center: If you’re using an identity provider (IdP) that supports SCIM, use the SCIM API integration with IAM Identity Center. When the AD user is assigned to an AD group, an IAM Identity Center API ( CreateGroupMembership ) is invoked, and SSO group membership is created.

APIs 86

APIs Accountability Construction Enterprise 86

AWS Machine Learning

NOVEMBER 13, 2024

Because SageMaker Model Cards and SageMaker Model Registry were built on separate APIs, it was challenging to associate the model information and gain a comprehensive view of the model development lifecycle. We encourage you to try out this solution and share your feedback in the comments section.

Government 103

Government Engineering Metrics APIs 103

AWS Machine Learning

AUGUST 8, 2024

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

Engineering 121

Engineering Accountability Feedback Enterprise 121

AWS Machine Learning

JULY 29, 2022

The solution also uses SAML attribute mapping to populate the SAML assertion with specific access-relevant data, such as user ID and user team. Because the solution creates a SAML API, you can use any IdP supporting SAML assertions to create this architecture. The API Gateway calls an SAML backend API. Custom SAML 2.0

Management 89

Management APIs Accountability Construction 89

AWS Machine Learning

SEPTEMBER 9, 2022

When the message is received by the SQS queue, it triggers the AWS Lambda function to make an API call to the Amp catalog service. The Lambda function retrieves the desired show metadata, filters the metadata, and then sends the output metadata to Amazon Kinesis Data Streams. Data Engineer for Amp on Amazon. Conclusion.

Analytics 81

Analytics Engineering Metrics APIs 81

Hello Customer

JUNE 21, 2023

In 2018 we saw a similar evolution in the data space. Up until then, organizations often used big data warehouses to centralize all their data. The downside was that that data never fitted a specific use case: the finance department wants to see data in a different way than the product or marketing team.

Customer Experience 52

Customer Experience Engineering Feedback Finance 52

AWS Machine Learning

AUGUST 3, 2023

Finally, we show how you can integrate this car pose detection solution into your existing web application using services like Amazon API Gateway and AWS Amplify. For each option, we host an AWS Lambda function behind an API Gateway that is exposed to our mock application. As always, AWS welcomes feedback. So, get started today!

APIs 73

APIs Scripts Engineering Technical Support 73

Spearline

JANUARY 23, 2018

An API (Application Programming Interface) will enhance your utilisation of our platform. Our RESTful API provides your developers with the ability to create campaigns, add numbers, time groups, export data for every test run, every day, every hour, every minute if that’s what you need to put your arms around your business.

Benchmark 40

Benchmark Call flow APIs Big data 40

AWS Machine Learning

JULY 29, 2022

Amazon SageMaker is a fully managed service that provides developers and data scientists the ability to build, train, and deploy machine learning (ML) models quickly. The SageMaker Python SDK provides open-source APIs and containers to train and deploy models on SageMaker, using several different ML and deep learning frameworks.

Scripts 97

Scripts APIs Big data Engineering 97

AWS Machine Learning

SEPTEMBER 11, 2024

In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. SIMD describes computers with multiple processing elements that perform the same operation on multiple data points simultaneously.

Benchmark 100

Benchmark Banking Analytics Big data 100

aircall

APRIL 16, 2021

SaaS works well for a variety of general use cases, including: Data backup. Big data analytics. Flexibility – SaaS uses an open API (application programming interface) technology. Disaster recovery – SaaS systems use redundant networks, so there’s no worry over losing your data during downtimes.

SaaS 62

SaaS Sales Coaching APIs 62

AWS Machine Learning

DECEMBER 1, 2022

Organizations can dive deep to identify which models have missing or inactive monitors and add them using SageMaker APIs to ensure all models are being checked for data drift, model drift, bias drift, and feature attribution drift. Give Model cards and the Model dashboard a try, and leave your comments with questions and feedback.

Government 94

Government Metrics APIs Engineering 94

AWS Machine Learning

AUGUST 31, 2023

We encourage you try out the new model card sharing feature and let us know your feedback. He is passionate about building secure and scalable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes. About the authors Vishal Naik is a Sr.

Government 117

Government Accountability Enterprise Engineering 117

AWS Machine Learning

SEPTEMBER 9, 2022

Prior to our adoption of Kubeflow on AWS, our data scientists used a standardized set of tools and a process that allowed flexibility in the technology and workflow used to train a given model. This means that user access can be controlled on the Kubeflow UI but not over the Kubernetes API via Kubectl. About the authors.

Engineering 88

Engineering Healthcare APIs Scripts 88

AWS Machine Learning

MAY 3, 2023

Furthermore, SageMaker Processing provides an API interface for running, monitoring, and evaluating the workload. Please share your comments and feedback. He has extensive experience in Big Data Analytics, Distributed Computing, and Natural Language Processing. Sharmo Sarkar is a Senior Manager at Vericast.

Engineering 89

Engineering Metrics APIs Big data 89

AWS Machine Learning

AUGUST 31, 2023

We encourage you try out the new model card sharing feature and let us know your feedback. He is passionate about building secure and scalable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes. About the authors Vishal Naik is a Sr.

Government 52

Government Accountability Enterprise Engineering 52

Xaqt

JUNE 22, 2020

Despite significant advancements in big data and open source tools, niche Contact Center Business Intelligence providers are still wed to their own proprietary tools leaving them saddled with technical debt and an inability to innovate from within. By putting it into the public domain, we invite your feedback and contributions.

Call Center 52

Call Center Contact Center Analytics Engineering 52

AWS Machine Learning

OCTOBER 4, 2022

One of the main drivers for new innovations and applications in ML is the availability and amount of data along with cheaper compute options. In the data preparation step, data is loaded, massaged, and transformed into the type of inputs, or features, the ML model expects.

Scripts 85

Scripts Engineering Management APIs 85

aircall

MAY 24, 2021

In today’s marketplace, it’s hard to survive without the cloud, big data, APIs, IoT, machine learning, artificial intelligence, automation, and mobile technologies. How does your digital operating model leverage data and analytics to help with data-driven decision-making? Responds to customer feedback.

Best practices 62

Best practices Call Center Technology Analytics 62

Dialer 360

DECEMBER 14, 2018

These offer applications with open APIs provide a new level of customization and integration. even small business is taking advantage of sophisticated analytics to turn data. even small business is taking advantage of sophisticated analytics to turn data. They are enabled for staff to leverage the collective intelligence.

Call Center 23

Call Center Customer centricity Analytics APIs 23

AWS Machine Learning

JANUARY 26, 2024

Define strict data ingress and egress rules to help protect against manipulation and exfiltration using VPCs with AWS Network Firewall policies. He is passionate about building secure and scalable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes.

Best practices 139

Best practices Government Engineering Accountability 139

AWS Machine Learning

OCTOBER 23, 2024

Agent Creator is a versatile extension to the SnapLogic platform that is compatible with modern databases, APIs, and even legacy mainframe systems, fostering seamless integration across various data environments. The integration with Amazon Bedrock is achieved through the Amazon Bedrock InvokeModel APIs.

Enterprise 81

Enterprise APIs Engineering Government 81