AWS Machine Learning

MARCH 23, 2023

The predictions (inference) use encrypted data and the results are only decrypted by the end consumer (client side). 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.

Scripts 90

Scripts APIs Government Analytics 90

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 60

APIs Customer Experience Feedback Chatbots 60

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 68

APIs Metrics Enterprise Government 68

AWS Machine Learning

SEPTEMBER 9, 2022

Reflection time is the time it takes for a feature to be available to read after the contributing events were emitted, for example, the time between a listener liking a show and the PIT LikeCount feature being updated. Sources of the data are the backend services directly serving the app. Data Engineer for Amp on Amazon.

Personalization 70

Personalization APIs Engineering Metrics 70

AWS Machine Learning

APRIL 19, 2023

For example, a model for a ride-sharing app can choose the best price for a ri­de from the airport, but only if it knows the number of ride requests received in the past 10 minutes and the number of passengers projected to land in the next 10 minutes. For example, we can create and populate a feature group called cc-transactions-fg.

Engineering 75

Engineering Analytics APIs Enterprise 75

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. For more information, refer to Example IAM policies for AWS RAM. Create, edit, view, and delete resource share within AWS RAM.

Government 85

Government Accountability Enterprise Engineering 85

AWS Machine Learning

SEPTEMBER 9, 2022

Amp stakeholders require this data to power ML processes or predictive models, content moderation tools, and product and program dashboards (for example, trending shows). Streaming data enables Amp customers to conduct and measure experimentation. Data Engineer for Amp on Amazon. Key benefits. Jeff Christophersen is a Sr.

Analytics 67

Analytics Engineering APIs Metrics 67

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

AUGUST 29, 2023

Terraform is used to create additional resources such as EventBridge rules, Lambda functions, and SNS topics for monitoring SageMaker pipelines and sending notifications (for example, when a pipeline step fails or succeeds). Refer to Operating model for best practices regarding a multi-account strategy for ML.

Scripts 70

Scripts APIs Enterprise Accountability 70

AWS Machine Learning

AUGUST 2, 2023

As an example, a GenAI model can be used to generate a textual description for the following image as “a dog laying on the ground under an umbrella” during document ingestion of the image. We demonstrate CDE using simple examples and provide a step-by-step guide for you to experience CDE in an Amazon Kendra index in your own AWS account.

Enterprise 69

Enterprise Healthcare APIs Big data 69

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. For more information, refer to Example IAM policies for AWS RAM. Create, edit, view, and delete resource share within AWS RAM.

Government 52

Government Accountability Enterprise Engineering 52

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 82

Engineering APIs Education Best practices 82

AWS Machine Learning

DECEMBER 1, 2022

For example, the data scientist persona uses the following ML activities: Run Studio Applications – Permissions to operate within a Studio environment. An example IAM policy for an ML administrator may look like the following code. For Role name suffix , give your role a name, for example, SageMaker-dataScientistRole.

Management 71

Management Government Enterprise APIs 71

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. For example, most models utilized Spark and TensorFlow with GPUs, which required a larger variety of environment configurations.

Engineering 73

Engineering Healthcare APIs Scripts 73

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 expose one or multiple models with my edge application as a simple API? Edge computing is the act of running workloads on these edge devices.

Transportation 73

Transportation APIs Big data Wireless 73

aircall

MARCH 19, 2021

The kind of descriptive data that’s most useful varies from company to company, depending on your industry. But here are some examples of basic descriptive data that many organizations track: Career information: Current employment status, industry, income, etc. Qualitative Data. Best Practices of Customer Data Management.

Sales 62

Sales CRM Marketing Best practices 62

aircall

APRIL 16, 2021

For example, sales and support teams have been using CRM systems for quite some time. 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. It doesn’t discriminate! Email platforms.

SaaS 62

SaaS Sales Coaching APIs 62

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.

Contact Center 28

Contact Center Telecommunications Analytics Employee engagement 28