AWS Machine Learning

APRIL 4, 2024

A Lambda function performs the same data transformation operations as the batch ingestion job at the individual record level, and ingests the data into Amazon Personalize using the PutEvents and PutItems APIs. For more information about these metrics, see Evaluating a solution version with metrics.

Personalization 80

Personalization APIs Engineering Metrics 80

AWS Machine Learning

AUGUST 3, 2022

For example, the information can include a description of the feature, the date it was last modified, its original data source, certain metrics, or the level of sensitivity. In this section, we interact with the Boto3 API endpoints to update and search feature metadata. 1]) df=df.drop('FeatureGroupArn', axis=1) return df.

APIs 81

APIs Engineering Entertainment Education 81

AWS Machine Learning

JUNE 24, 2022

In a previous post , we talked about analyzing and tagging assets stored in Veeva Vault PromoMats using Amazon AI services and the Veeva Vault Platform’s APIs. Anomaly detection – You can share Veeva PromoMats documents to Amazon Lookout for Metrics for anomaly detection.

APIs 72

APIs Healthcare SaaS Engineering 72

AWS Machine Learning

NOVEMBER 15, 2023

Although this post focuses on autonomous driving, the concepts discussed are applicable broadly to domains that have rich vision-based applications such as healthcare and life sciences, and media and entertainment. For example, we can use an API chain to call an API and invoke an LLM to answer the question based on the API response.

Engineering 90

Engineering APIs Automotive Entertainment 90

AWS Machine Learning

OCTOBER 13, 2022

AWS offers a pre-trained and fully managed AWS AI service called Amazon Rekognition that can be integrated into computer vision applications using API calls and require no ML experience. You just have to provide an image to the Amazon Rekognition API and it can identify the required objects according to pre-defined labels.

Healthcare 70

Healthcare APIs Automotive Consulting 70

AWS Machine Learning

JUNE 28, 2022

Time series forecasting is useful in multiple fields, including retail, finance, logistics, and healthcare. Amazon Forecast is a time-series forecasting service based on machine learning (ML) and built for business metrics analysis. For HPO, we use the RRSE as the evaluation metric for all the three algorithms. LSTNet with HPO.

Metrics 76

Metrics Healthcare Accountability Transportation 76

AWS Machine Learning

DECEMBER 21, 2022

A new optional parameter TableFormat can be set either interactively using Amazon SageMaker Studio or through code using the API or the SDK. The following code snippet shows you how to create a feature group using the Iceberg format and FeatureGroup.create API of the SageMaker SDK. You can also use the FeatureGroup().put_record

Scripts 73

Scripts Engineering APIs Big data 73

SharpenCX

JULY 6, 2022

Company leaders are often allowed to choose the technology products they want and create the processes surrounding these products. When your contact center platform takes advantage of Open APIs, making connections with other tools is a breeze. Your tech stack adds up. Time to cut it down. Keep track of your call center’s ROI.

Contact Center 76

Contact Center Self service Chatbots Call Center 76

AWS Machine Learning

SEPTEMBER 1, 2023

ML operationalization summary As defined in the post MLOps foundation roadmap for enterprises with Amazon SageMaker , ML and operations (MLOps) is the combination of people, processes, and technology to productionize machine learning (ML) solutions efficiently. One of these new notions is the foundation model (FM).

Engineering 102

Engineering Accountability Construction APIs 102

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. Logging and monitoring.

Engineering 75

Engineering Healthcare APIs Scripts 75

AWS Machine Learning

JANUARY 26, 2024

As your organization advances its use of emerging technologies such as generative AI and LLMs, overall organizational resiliency should be considered as a cornerstone of a layered defensive strategy to protect assets and lines of business from unintended consequences.

Best practices 122

Best practices Government Engineering Accountability 122

AWS Machine Learning

SEPTEMBER 2, 2022

We use the PyTorch DistributedDataParallel API and the Kubernetes TorchElastic controller, and run our training jobs on an EKS cluster containing multiple GPU nodes. Before running the training job, we can also set up Amazon CloudWatch metrics to visualize the GPU utilization during training. and push.sh. Model training. Resources.

Scripts 78

Scripts Metrics Accountability APIs 78

AWS Machine Learning

OCTOBER 5, 2022

The decision tree provided the cut-offs for each metric, which we included as rules-based logic in the streaming application. At the end, we found that the LightGBM model worked best with well-calibrated accuracy metrics. Alexander Egorov is a Principal Streaming Architect, specializing in streaming technologies.

Calibration 91

Calibration Engineering Automotive Analytics 91

AWS Machine Learning

SEPTEMBER 6, 2022

In a healthcare environment, you can use audio event detection to passively listen for sounds from a patient that indicate an acute health problem. Behind the scenes, Rekognition Custom Labels automatically loads and inspects the training data, selects the right ML algorithms, trains a model, and provides model performance metrics.

Engineering 74

Engineering APIs Healthcare SaaS 74

OctopusTech

SEPTEMBER 29, 2022

With this, a call center can accurately measure its metrics and can have access to a client’s data when a query is generated. For example – With help desk software, you can proactively chat or help shoppers in completing their checkout process or use monitoring tools to identify the metrics. Smaller teams can work speedily.

Customer Service 62

Customer Service CRM Self service Analytics 62

AWS Machine Learning

JUNE 7, 2023

United Arab Emirate’s (UAE) Technology Innovation Institute (TII) , the applied research pillar of Abu Dhabi’s Advanced Technology Research Council , has launched Falcon LLM, a foundational large language model (LLM) with 40 billion parameters. TII is a leading global research center dedicated to pushing the frontiers of knowledge.

Technology 90

Technology APIs Engineering Education 90

AWS Machine Learning

SEPTEMBER 28, 2023

Regulated and compliance-oriented industries, such as financial services, healthcare and life sciences, and government institutes, face unique challenges in ensuring the secure and responsible consumption of these models. In addition, API Registries enabled centralized governance, control, and discoverability of APIs.

APIs 96

APIs Government Enterprise Engineering 96

AWS Machine Learning

JANUARY 8, 2024

AWS customers in healthcare, financial services, the public sector, and other industries store billions of documents as images or PDFs in Amazon Simple Storage Service (Amazon S3). Amazon Textract, similar to other managed services, has a default limit on the APIs called transactions per second (TPS).

Scripts 87

Scripts Construction APIs Healthcare 87

AWS Machine Learning

DECEMBER 29, 2022

The Analyze Lending feature in Amazon Textract is a managed API that helps you automate mortgage document processing to drive business efficiency, reduce costs, and scale quickly. The Signatures feature is available as part of the AnalyzeDocument API. AnalyzeExpense API adds new fields and OCR output.

APIs 86

APIs Banking Real estate Healthcare 86

AWS Machine Learning

NOVEMBER 22, 2023

Innovation Talks – Learn about the latest cloud technology from AWS technology leaders and discover how these advancements can help you push your business forward. Also learn how prompts can be integrated with your architecture and how to use API parameters for tuning the model parameters using Amazon Bedrock.

Engineering 109

Engineering Best practices APIs Government 109

AWS Machine Learning

SEPTEMBER 8, 2023

Next, we present the key metrics used for evaluating the model performance along with the evaluation of our final models. Training the model is as a simple as a single API (Application programming interface) call or console button click and L4V takes care of model selection and hyperparameter tuning under the hood.

Government 83

Government Metrics Analytics Technology 83

AWS Machine Learning

FEBRUARY 5, 2024

This system is dependent not only on human factors, but also on technology and resources to collect disease data, analyze patterns, and create a consistent and continuous stream of data transfer from local to regional to central health authorities. set_index('metric')['weight'].to_dict() min()) / (layer['raw_idx'].max() min()) * 100).round(2)

Healthcare 82

Healthcare Engineering Analytics APIs 82

AWS Machine Learning

JUNE 6, 2023

Solution overview To demonstrate the new functionality, we work with two datasets: leads and web marketing metrics. These datasets can be used to build a model that predicts if a lead will convert into a sale given marketing activities and metrics captured for that lead. The following screenshot shows an example of this data.

APIs 78

APIs Metrics Telecommunications Marketing 78

SmartKarrot

JANUARY 18, 2022

Indian SaaS enterprises deal with a wide variety of clients across finance, education, healthcare, and wellness. Found by Manoj Dawane in 2016, VTION is an Indian-origin media technology innovation company that aims at measuring media audiences by analyzing consumer trends and behaviors. VWO is more than just a technological platform.

SaaS 11

SaaS Finance CRM Analytics 11

AWS Machine Learning

SEPTEMBER 7, 2023

In February 2022, Amazon Web Services added support for NVIDIA GPU metrics in Amazon CloudWatch , making it possible to push metrics from the Amazon CloudWatch Agent to Amazon CloudWatch and monitor your code for optimal GPU utilization. Then we explore two architectures. already installed. eks-create.sh 19 private:192.168.128.0/19

Metrics 87

Metrics APIs Management Engineering 87

AWS Machine Learning

NOVEMBER 1, 2023

However, like other nascent technologies, obstacles remain in managing model intricacy, harmonizing diverse modalities, and formulating uniform evaluation metrics. The TGI framework underpins the model inference layer, providing RESTful APIs for robust integration and effortless accessibility.

APIs 92

APIs Engineering Construction Scripts 92

AWS Machine Learning

JANUARY 9, 2023

You don’t need to provision instances, monitor instance health, manage security updates or patches, emit operational metrics, or build monitoring for your ML inference workloads. As a best practice, review CloudWatch metrics for input requests and resource utilization, and select the appropriate instance type to achieve optimal throughput.

Metrics 74

Metrics Best practices Engineering Management 74