ConvergeOne

DECEMBER 7, 2021

The underlying technologies of composability include some combination of artificial intelligence (AI), machine learning, automation, container-based architecture, big data, analytics, low-code and no-code development, Agile/DevOps deployment, cloud delivery, and applications with open APIs (microservices).

APIs 79

APIs Big data Analytics Self service 79

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

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 131

APIs Enterprise Accountability Feedback 131

AWS Machine Learning

OCTOBER 27, 2022

To achieve these operational benefits, they implemented a number of best practice processes, including a fast data iteration and testing cycle, and parallel testing to find optimal data combinations. We can then call a Forecast API to create a dataset group and import data from the processed S3 bucket.

APIs 98

APIs Best practices Metrics Government 98

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 86

APIs Construction Government Big data 86

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. tar czvf model.tar.gz -C deepspeed.

Management 112

Management Best practices APIs Calibration 112

AWS Machine Learning

MARCH 23, 2023

Applications and services can call the deployed endpoint directly or through a deployed serverless Amazon API Gateway architecture. To learn more about real-time endpoint architectural best practices, refer to Creating a machine learning-powered REST API with Amazon API Gateway mapping templates and Amazon SageMaker.

Scripts 115

Scripts APIs Government Analytics 115

AWS Machine Learning

MAY 8, 2023

In this post, we address these limitations by implementing the access control outside of the MLflow server and offloading authentication and authorization tasks to Amazon API Gateway , where we implement fine-grained access control mechanisms at the resource level using Identity and Access Management (IAM). Adds an IAM authorizer.

APIs 85

APIs Government Accountability Scripts 85

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

SEPTEMBER 9, 2022

It stores history of ML features in the offline store (Amazon S3) and also provides APIs to an online store to allow low-latency reads of most recent features. With purpose-built services, the Amp team was able to release the personalized show recommendation API as described in this post to production in under 3 months. Conclusion.

Personalization 87

Personalization APIs Metrics Engineering 87

AWS Machine Learning

JULY 19, 2022

To test the model output, we use a Jupyter notebook to run Python code to detect custom labels in a supplied image by calling Amazon Rekognition APIs. The solution workflow is as follows: Store satellite imagery data in Amazon S3 as the input source. Store satellite imagery data in Amazon S3 as an input source.

APIs 85

APIs Metrics Enterprise Government 85

AWS Machine Learning

JUNE 25, 2024

With some of the best FMs available at their fingertips within Amazon Bedrock, customers are experimenting and innovating faster than ever before. With over 35 patents granted across various technology domains, she has a passion for continuous innovation and using data to drive business outcomes.

Metrics 117

Metrics APIs Government Big data 117

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.

Customer Experience 73

Customer Experience APIs Feedback Chatbots 73

AWS Machine Learning

AUGUST 31, 2023

As you scale your models, projects, and teams, as a best practice we recommend that you adopt a multi-account strategy that provides project and team isolation for ML model development and deployment. They provide a fact sheet of the model that is important for model governance. Solutions Architect at Amazon Web Services (AWS).

Government 115

Government Accountability Enterprise Best practices 115

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.

Analytics 84

Analytics Engineering Metrics APIs 84

AWS Machine Learning

JULY 19, 2022

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. Anil Kodali is a Solutions Architect with Amazon Web Services.

Engineering 96

Engineering APIs Education Best practices 96

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 92

Engineering Analytics APIs Enterprise 92

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 80

APIs Engineering Construction Benchmark 80

AWS Machine Learning

JUNE 3, 2024

You can change the configuration later from the SageMaker Canvas UI or using SageMaker APIs. Staying up to date with the latest developments and best practices can be challenging, especially in a public forum. He helps customers implement big data, machine learning, analytics solutions, and generative AI implementations.

Surveys 113

Surveys Metrics Engineering Analytics 113

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 91

Transportation APIs Big data Wireless 91

AWS Machine Learning

AUGUST 2, 2023

After ingestion, images can be searched via the Amazon Kendra search console, API, or SDK. You can then search for images using natural language queries, such as “Find images of red roses” or “Show me pictures of dogs playing in the park,” through the Amazon Kendra console, SDK, or API.

Enterprise 86

Enterprise Healthcare APIs Big data 86

AWS Machine Learning

AUGUST 29, 2023

Refer to Operating model for best practices regarding a multi-account strategy for ML. 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. The central model registry could optionally be placed in a shared services account as well.

Scripts 88

Scripts APIs Enterprise Accountability 88

ConvergeOne

DECEMBER 7, 2021

The underlying technologies of composability include some combination of artificial intelligence (AI), machine learning, automation, container-based architecture, big data, analytics, low-code and no-code development, Agile/DevOps deployment, cloud delivery, and applications with open APIs (microservices).

APIs 40

APIs Big data Analytics Self service 40

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 90

Engineering Healthcare APIs Scripts 90

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. What is contact center big data analytics?

Call Center 52

Call Center Analytics Average Handle Time Big data 52

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. Best Practices to Align Your Sales and Support Teams. It doesn’t discriminate! Email platforms. Disaster recovery.

SaaS 62

SaaS Sales Coaching APIs 62

aircall

MARCH 19, 2021

With all the available customer data companies have at their disposal to enhance the performance of customer service, sales, and marketing efforts, a remarkable 73% of companies still do not use it effectively. And out of those who do practise data collection, only 12% analyze it. Best Practices of Customer Data Management.

Sales 62

Sales CRM Marketing Best practices 62

AWS Machine Learning

DECEMBER 1, 2022

The statement labeled RemoveErrorMessagesFromConsole can be removed without affecting the ability to get into Studio, but will result in API errors on the console UI. An example IAM policy for an ML administrator may look like the following code. Note that the following policy locks down Studio domain creation to VPC only.

Management 88

Management Government Enterprise APIs 88

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. Together, we can develop best practices and sharable templates for the entire industry.

Call Center 52

Call Center Contact Center Analytics Engineering 52

AWS Machine Learning

AUGUST 31, 2023

As you scale your models, projects, and teams, as a best practice we recommend that you adopt a multi-account strategy that provides project and team isolation for ML model development and deployment. They provide a fact sheet of the model that is important for model governance. Solutions Architect at Amazon Web Services (AWS).

Government 52

Government Accountability Enterprise Best practices 52

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 137

Best practices Government Engineering Accountability 137

Stratifyd

JANUARY 3, 2019

The Senior Back-End Software Engineer will have demonstrated practical experience in building high-performance and reliable systems and possess a love for Git and all that version control provides (we can also accept a love/hate relationship with Git). Maintain and develop Stratifyd’s API layer and/or analytics pipeline.

Engineering 40

Engineering APIs Analytics Healthcare 40

AWS Machine Learning

SEPTEMBER 18, 2024

From our experience, artifact server has some limitations, such as limits on artifact size (because of sending it using REST API). Environment variables : Set environment variables, such as model paths, API keys, and other necessary parameters. The main parts we use are tracking the server and model registry.

APIs 115

APIs Engineering Analytics Marketing 115

AWS Machine Learning

OCTOBER 16, 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 through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Engineering 114

Engineering Metrics APIs Big data 114

AWS Machine Learning

NOVEMBER 6, 2024

Before using this application in a production environment, you should thoroughly review and implement appropriate security measures, such as configuring HTTPS on the load balancer and following AWS best practices for securing your resources. See the README.md file in the GitHub repository for more information.

Construction 117

Construction APIs Big data Best practices 117

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 walk through an example notebook to demonstrate how you can use this unification during the model development data science lifecycle.

Government 106

Government Engineering Metrics APIs 106

AWS Machine Learning

JANUARY 30, 2025

Some key considerations include: Scalability and performance For handling large volumes of proposals and concurrent users, a serverless architecture using AWS Lambda , Amazon API Gateway , DynamoDB, and Amazon Simple Storage Service (Amazon S3) would provide improved scalability, availability, and reliability.

Engineering 86

Engineering APIs Healthcare Government 86