AWS Machine Learning

FEBRUARY 29, 2024

The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.

APIs 131

APIs Healthcare Scripts Enterprise 131

AWS Machine Learning

AUGUST 29, 2022

You can now use cross-account support for Amazon SageMaker Pipelines to share pipeline entities across AWS accounts and access shared pipelines directly through Amazon SageMaker API calls. The data scientist is now able to describe and monitor the test pipeline run status using SageMaker API calls from the dev account.

Accountability 93

Accountability APIs Management Engineering 93

AWS Machine Learning

JUNE 12, 2024

This solution uses an Amazon Cognito user pool as an OAuth-compatible identity provider (IdP), which is required in order to exchange a token with AWS IAM Identity Center and later on interact with the Amazon Q Business APIs. Amazon Q uses the chat_sync API to carry out the conversation.

APIs 128

APIs Enterprise Accountability Feedback 128

Callminer

JULY 15, 2019

Join leading smart home service provider Vivint’s Ben Austin and Jacob Miller for an enlightening session on how they have designed and utilized automated speech analytics to extract KPI targeted scores and route those critical insights through an API to their own customized dashboard to track and coach on agent scoring/behaviors.

Telecommunications 28

Telecommunications Contact Center Analytics Employee engagement 28

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 98

APIs Scripts Enterprise Big data 98

Avaya

NOVEMBER 16, 2016

Open APIs: An open API model is advantageous in that it allows developers outside of companies to easily access and use APIs to create breakthrough innovations. At the same time, however, publicly available APIs are also exposed ones. billion GB of data were being produced every day in 2012 alone!)

APIs 72

APIs Transportation Enterprise Healthcare 72

AWS Machine Learning

OCTOBER 27, 2022

They also established data processing and forecasting pipelines, which can scale to thousands of stores and product categories, and developed a scalable reference architecture to be used for future extensions. To implement demand forecasting that enhances sustainability, we also considered industry-specific properties: Short lead times.

APIs 98

APIs Best practices Metrics Government 98

AWS Machine Learning

DECEMBER 18, 2023

As industries evolve in today’s fast-paced business landscape, the inability to have real-time forecasts poses significant challenges for industries heavily reliant on accurate and timely insights. If you need an automated workflow or direct ML model integration into apps, Canvas forecasting functions are accessible through APIs.

Finance 120

Finance APIs Big data Scripts 120

AWS Machine Learning

OCTOBER 14, 2024

Agents automatically call the necessary APIs to interact with the company systems and processes to fulfill the request. The App calls the Claims API Gateway API to run the claims proxy passing user requests and tokens. Claims API Gateway runs the Custom Authorizer to validate the access token.

APIs 83

APIs Construction Government Big data 83

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 92

APIs Scripts Enterprise Big data 92

AWS Machine Learning

JUNE 25, 2024

Nikhil has 15+ years of industry experience, specializing in observability and AIOps. She has been in technology for 24 years spanning multiple industries, technologies, and roles. With over 35 patents granted across various technology domains, she has a passion for continuous innovation and using data to drive business outcomes.

Metrics 115

Metrics APIs Government Big data 115

AWS Machine Learning

JULY 15, 2024

However, traditional dubbing methods are costly ( about $20 per minute with human review effort ) and time consuming, making them a common challenge for companies in the Media & Entertainment (M&E) industry. Yaoqi Zhang is a Senior Big Data Engineer at Mission Cloud.

Engineering 115

Engineering Entertainment Big data APIs 115

AWS Machine Learning

MAY 8, 2023

This can be a challenge for enterprises in regulated industries that need to keep strong model governance for audit purposes. How to expose the MLflow server via private integrations to an API Gateway, and implement a secure access control for programmatic access via the SDK and browser access via the MLflow UI. Adds an IAM authorizer.

APIs 81

APIs Government Accountability Scripts 81

AWS Machine Learning

DECEMBER 21, 2022

SageMaker Feature Store automatically builds an AWS Glue Data Catalog during feature group creation. Customers can also access offline store data using a Spark runtime and perform big data processing for ML feature analysis and feature engineering use cases. Table formats provide a way to abstract data files as a table.

Scripts 84

Scripts Engineering APIs Big data 84

AWS Machine Learning

MARCH 22, 2023

Access and permissions to configure IDP to register Data Wrangler application and set up the authorization server or API. For data scientist: An S3 bucket that Data Wrangler can use to output transformed data. His knowledge ranges from application architecture to big data, analytics, and machine learning.

APIs 91

APIs Engineering Analytics Scripts 91

AWS Machine Learning

APRIL 24, 2023

In the global retail industry, pre- and post-sales support are both important aspects of customer care. Real-time text classification To use Amazon Comprehend custom classification in real time , you need to deploy an API as the entry point and call an Amazon Comprehend model to conduct real-time text classification.

Customer Experience 70

Customer Experience APIs Feedback Chatbots 70

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 89

APIs Scripts Enterprise Big data 89

AWS Machine Learning

NOVEMBER 14, 2023

In the era of big data and AI, companies are continually seeking ways to use these technologies to gain a competitive edge. At the core of these cutting-edge solutions lies a foundation model (FM), a highly advanced machine learning model that is pre-trained on vast amounts of data.

Management 109

Management Best practices APIs Calibration 109

AWS Machine Learning

FEBRUARY 15, 2024

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance. Due to the velocity of change in IT, customers in traditional industries are facing a dilemma of skillset.

Metrics 111

Metrics Analytics APIs Big data 111

DMG Consulting

DECEMBER 10, 2018

The “platform as a service” paradigm, which essentially leverages application programming interfaces (APIs) to build out functional capabilities, makes it easier to build your own solution (BYOS). These innovations are game-changers for companies and the industry in general. RPA is also finding its way into the contact center world.

Contact Center 75

Contact Center contact center solutions CRM Enterprise 75

AWS Machine Learning

AUGUST 2, 2023

This solution can also be customized and scaled to meet the needs of different applications and industries. Use cases GenAI image captioning is useful in the following use cases: Ecommerce – A common industry use case where images and text occur together is retail. However, we can use CDE for a wider range of use cases.

Enterprise 82

Enterprise Healthcare APIs Big data 82

AWS Machine Learning

AUGUST 15, 2022

Across multiple industries, customers need to process millions of documents per year in the course of their business. Document is a wrapper function used to help parse the JSON response from the API. It provides a high-level abstraction and makes the API output iterable and easy to get information out of. TDocumentSchema().load(response)

Banking 85

Banking APIs Accountability Analytics 85

AWS Machine Learning

APRIL 19, 2023

This example notebook demonstrates the pattern of using Feature Store as a central repository from which data scientists can extract training datasets. In addition to creating a training dataset, we use the PutRecord API to put the 1-week feature aggregations into the online feature store nightly. Nov-01,22:01:00 1 74.99 …9843 99.50

Engineering 88

Engineering Analytics APIs Enterprise 88

Interactions

SEPTEMBER 19, 2019

A big point of discussion during breakout sessions and over drinks (yes, really!) was the concept of standardized APIs across multiple technologies.

APIs 70

APIs Big data Sales Engineering 70

AWS Machine Learning

DECEMBER 1, 2022

This issue is intensified in highly regulated industries because you’re subject to regulations that require you to keep such measures in place. You can set up continuous monitoring or scheduled monitors via SageMaker APIs, and edit the alert settings through the Model dashboard. Conclusion.

Government 91

Government Metrics APIs Engineering 91

AWS Machine Learning

JUNE 24, 2022

This might be a triggering mechanism via Amazon EventBridge , Amazon API Gateway , AWS Lambda functions, or SageMaker Pipelines. In addition to the model endpoint, the CI/CD also tests the triggering infrastructure, such as EventBridge, Lambda functions, or API Gateway. Data lake and MLOps integration. About the Author.

Enterprise 109

Enterprise Engineering Accountability APIs 109

AWS Machine Learning

JULY 24, 2023

They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. In this section, we show how to build your own container, deploy your own GPT-2 model, and test with the SageMaker endpoint API. implement the model and the inference API. gpt2 and predictor.py

APIs 76

APIs Engineering Construction Benchmark 76

AWS Machine Learning

SEPTEMBER 11, 2024

Businesses are seeking a competitive advantage by being able to use the data they hold, apply it to their unique understanding of their business domain, and then generate actionable insights from it. The financial services industry (FSI) is no exception to this, and is a well-established producer and consumer of data and analytics.

Benchmark 93

Benchmark Banking Analytics Big data 93

AWS Machine Learning

JULY 25, 2022

Like many industries, the corporate bond market doesn’t lend itself to a one-size-fits-all approach. For production, we wanted to invoke the model as a simple API call. Mutisya has a strong quantitative and analytical background with over a decade of experience in artificial intelligence, machine learning and big data analytics.

Scripts 82

Scripts Engineering Analytics APIs 82

AWS Machine Learning

JUNE 3, 2024

Other analyses are also available to help you visualize and understand your data. In this post, we try to understand the factors contributing to the mental health of an employee in the tech industry in a systematic manner. You can change the configuration later from the SageMaker Canvas UI or using SageMaker APIs. Choose Deploy.

Surveys 109

Surveys Metrics Engineering Analytics 109

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. Aamna Najmi is a Data Scientist with AWS Professional Services.

APIs 71

APIs Scripts Engineering Technical Support 71

Balto

JANUARY 14, 2025

But modern analytics goes beyond basic metricsit leverages technologies like call center data science, machine learning models, and big data to provide deeper insights. Predictive Analytics: Uses historical data to forecast future events like call volumes or customer churn. A lack of integration limits real-time insights.

Call Center 52

Call Center Analytics Average Handle Time Big data 52

AWS Machine Learning

JUNE 15, 2022

Edge is a term that refers to a location, far from the cloud or a big data center, where you have a computer device (edge device) capable of running (edge) applications. How do I eliminate the need of installing a big framework like TensorFlow or PyTorch on my restricted device? Edge computing.

Transportation 87

Transportation APIs Big data Wireless 87

AWS Machine Learning

AUGUST 29, 2023

When a new version of the model is registered in the model registry, it triggers a notification to the responsible data scientist via Amazon SNS. When the review process is complete, the data scientist can proceed and approve the new version of the model in the model registry. About the Authors Hasan Shojaei is a Sr.

Scripts 84

Scripts APIs Enterprise Accountability 84

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.

Engineering 87

Engineering Healthcare APIs Scripts 87

Hodusoft

AUGUST 30, 2022

Businesses of every size, type, and industry can benefit from using cloud services for a variety of reasons such as: Data backup Software development and testing Email Disaster recovery Virtual desktops Big data analytics Customer-facing web applications, and more. Who all can use cloud computing?

Interactive Voice Response 52

Interactive Voice Response APIs Contact Center voip 52

AWS Machine Learning

JULY 21, 2022

Compare and evaluate experiments – The integration of Experiments with Amazon SageMaker Studio makes it easy to produce data visualizations and compare different trials. You can also access the trial data via the Python SDK to generate your own visualization using your preferred plotting libraries.

Metrics 89

Metrics Scripts Enterprise Telecommunications 89