AWS Machine Learning

OCTOBER 6, 2022

Model training forms the core of any machine learning (ML) project, and having a trained ML model is essential to adding intelligence to a modern application. Generally speaking, training a model from scratch is time-consuming and compute intensive. Model training in Studio. SageMaker is a fully managed ML service.

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Metrics APIs Benchmark Accountability 86

CCNG

MAY 30, 2024

Workforce management (WFM) can feel like a whirlwind of constant change. From trying to keep up with HR on training, to supporting operations with retention needs, and more, there’s often little time left to talk to IT about the features you need in your next WFM platform. And that’s if you even know where to start!

Abandon rate 195

Abandon rate CCNG Average Handle Time Contact Center 195

AWS Machine Learning

OCTOBER 5, 2022

In this post, we discuss the key elements needed to evaluate the performance aspect of a content moderation service in terms of various accuracy metrics, and a provide an example using Amazon Rekognition Content Moderation API’s. To annotate your image data, you can use Amazon SageMaker Ground Truth (GT)to manage image annotation.

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Metrics APIs Advertising Enterprise 79

AWS Machine Learning

OCTOBER 18, 2023

The solution focuses on the fundamental principles of developing an AI/ML application workflow of data preparation, model training, model evaluation, and model monitoring. It is already trained on tens of millions of images across many categories. AWS CodeBuild is a fully managed continuous integration service in the cloud.

APIs 99

APIs Metrics Consulting Consulting 99

AWS Machine Learning

AUGUST 11, 2022

This post shows you how to use an integrated solution with Amazon Lookout for Metrics and Amazon Kinesis Data Firehose to break these barriers by quickly and easily ingesting streaming data, and subsequently detecting anomalies in the key performance indicators of your interest. You don’t need ML experience to use Lookout for Metrics.

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AWS Machine Learning

SEPTEMBER 22, 2022

Amazon SageMaker Autopilot has added a new training mode that supports model ensembling powered by AutoGluon. Ensemble training mode in Autopilot trains several base models and combines their predictions using model stacking. times faster than HPO training mode with 100 trials. How AutoGluon builds ensemble models.

Metrics 77

Metrics APIs Benchmark Accountability 77

AWS Machine Learning

SEPTEMBER 2, 2022

Distributed deep learning model training is becoming increasingly important as data sizes are growing in many industries. Many applications in computer vision and natural language processing now require training of deep learning models, which are growing exponentially in complexity and are often trained with hundreds of terabytes of data.

Scripts 83

Scripts Metrics Accountability APIs 83

Playvox

NOVEMBER 15, 2022

For contact center managers, this phrase rings in their heads each time they create a forecast, build a schedule, or track schedule adherence. . In this environment, investing in a workforce management (WFM) solution becomes key, particularly if your support center has been using spreadsheets or trying to get by with subpar solutions.

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Management Schedule adherence Coaching Contact Center 86

AWS Machine Learning

FEBRUARY 7, 2024

Solution overview We use Amazon Fraud Detector, a fully managed fraud detection service, to automate the detection of fraudulent activities. Select your options and train the model. Deploy the API to make predictions. Create the model. Review model performance. Deploy the model. Create a detector. Choose Create entity.

APIs 112

APIs Accountability Metrics Engineering 112

AWS Machine Learning

OCTOBER 27, 2022

Certain machine learning (ML) workloads, such as training computer vision models or reinforcement learning, often involve combining the GPU- or accelerator-intensive task of neural network model training with the CPU-intensive task of data preprocessing, like image augmentation. This post is co-written with Chaim Rand from Mobileye.

Scripts 73

Scripts Benchmark Metrics Transportation 73

AWS Machine Learning

NOVEMBER 17, 2022

Their production segment is therefore an integral building block for delivering on their mission—with a clearly stated ambition to become world-leading on metrics such as safety, environmental footprint, quality, and production costs. This would ensure Yara would train, deploy, and maintain models reliably and efficiently.

APIs 95

APIs Accountability Metrics Engineering 95

AWS Machine Learning

MARCH 1, 2023

Amazon Comprehend is a managed AI service that uses natural language processing (NLP) with ready-made intelligence to extract insights about the content of documents. Today, users invest a significant amount of resources to build, train, and maintain custom models. However, these models are sensitive to changes in the real world.

APIs 72

APIs Metrics Accountability Scripts 72

AWS Machine Learning

MAY 5, 2023

It consists of pre-trained models that can be applied to analyze images and videos at scale. By uploading a small set of training images, Amazon Rekognition automatically loads and inspects the training data, selects the right ML algorithms, trains a model, and provides model performance metrics.

Engineering 101

Engineering APIs Scripts Enterprise 101

Select VoiceCom Blog

APRIL 17, 2023

Within the realm of BPO, business process management (BPM) is a critical subtopic that enables you to improve your company’s processes and performance. What Is Business Process Management? Some common ways to use BPM include automation, workflow, and compliance management.

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Management Business Process Outsourcing Best practices outsourcing 52

AWS Machine Learning

NOVEMBER 22, 2023

Delegating complex AI tasks – You can enable faster AI adoption in your organization by offloading the ML model development lifecycle to managed services and taking advantage of the model development and infrastructure provided by AWS. This helps you avoid throttling limits on API calls due to polling the Get* APIs.

APIs 97

APIs Metrics Enterprise Benchmark 97

JustCall

JANUARY 23, 2024

What is the WhatsApp Business API for teams? WhatsApp Business Platform is a cloud-based API that is specially released by Meta to allow users to integrate WhatsApp into their operational workflows. Manage high query volumes by assigning agents to answer each query. You’ll need this to manage your calls and texts.

APIs 52

APIs Accountability CRM Interactive Voice Response 52

AWS Machine Learning

APRIL 17, 2023

ML fraud model performance relies heavily on the quality of data it is trained on, and, specifically for the supervised models, accurate labeled data is crucial. In ML, a lack of significant historical data to train a model is called the cold start problem. The following table defines these metrics.

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APIs Government Metrics Engineering 75

AWS Machine Learning

DECEMBER 1, 2022

You can then compare the performance of the two versions using metrics such as latency and error rate. Optionally, you can monitor the variants through a built-in dashboard with a side-by-side comparison of the performance metrics. Scenario 1 – Managed shadow testing using the SageMaker Console.

APIs 82

APIs Metrics Management Engineering 82

AWS Machine Learning

OCTOBER 19, 2022

Alternatively, if you’re looking for a fully managed service to build customized fraud detection models without writing code, we recommend checking out Amazon Fraud Detector. We start by training an unsupervised anomaly detection model using the algorithm Random Cut Forest (RCF). A trained SageMaker XGBoost model with HPO.

APIs 70

APIs Metrics Calibration Accountability 70

AWS Machine Learning

OCTOBER 10, 2022

GrabDefence (GD), Grab’s proprietary fraud detection and prevention technology, and AWS have launched GDxAFD, a fraud detection solution tailored for mobile apps that integrates GD’s device intelligence capabilities with Amazon Fraud Detector , AWS’s fully managed ML fraud detection solution.

APIs 73

APIs Accountability Metrics Government 73

AWS Machine Learning

OCTOBER 25, 2022

With MMEs, each instance is managed to load and serve multiple models. Triton supports all major training and inference frameworks, such as TensorFlow, NVIDIA® TensorRT , PyTorch, MXNet, Python, ONNX, XGBoost, Scikit-learn, RandomForest, OpenVINO, custom C++, and more. SageMaker MMEs. The following diagram illustrates an MME workflow.

APIs 79

APIs Metrics Engineering Enterprise 79

AWS Machine Learning

DECEMBER 12, 2022

Amazon Comprehend provides customized features, custom entity recognition , custom classification , and pre-trained APIs such as key phrase extraction, sentiment analysis, entity recognition, and more so you can easily integrate NLP into your applications. You can train and tune these models. SageMaker JumpStart.

APIs 79

APIs Accountability Enterprise Metrics 79

AWS Machine Learning

NOVEMBER 1, 2022

Amazon SageMaker Autopilot automatically builds, trains, and tunes the best custom machine learning (ML) models based on your data. Although Autopilot eliminates the heavy lifting of building ML models, MLOps engineers still have to create, automate, and manage end-to-end ML workflows. Monitor the training job status.

Scripts 82

Scripts APIs Metrics Engineering 82

AWS Machine Learning

OCTOBER 27, 2022

They faced two challenges: how to reduce food waste, and how to manage forecast models for over 10,000 SKUs and thousands of stores efficiently and at scale. Advanced inventory forecasting using machine learning (ML) allows retail stores to maximize sales and minimize waste through more effective inventory management and turnover.

APIs 98

APIs Best practices Metrics Government 98

AWS Machine Learning

JUNE 9, 2022

As new data is provided, Forecast automatically computes predictor accuracy metrics on the new dataset, providing you with more information to decide whether to keep using, retrain, or create new predictors. You can enable this feature with one click on the AWS Management Console or using Forecast APIs.

Metrics 84

Metrics APIs Engineering Management 84

BlueOcean

OCTOBER 4, 2023

Finding a partner who has a proven track record of attracting, training, engaging, and retaining agents in the language of your high-volume customer demographics is going to be the top priority of your RFP process. The value of that improved metric plays a big role in the client’s bottom line. The most recent census reports that 21.4%

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AWS Machine Learning

MAY 10, 2023

Today, data scientists who are training deep learning models need to identify and remediate model training issues to meet accuracy targets for production deployment, and require a way to utilize standard tools for debugging model training.

Scripts 77

Scripts Metrics Construction APIs 77

AWS Machine Learning

MARCH 13, 2023

This post is co-written with Mahima Agarwal, Machine Learning Engineer, and Deepak Mettem, Senior Engineering Manager, at VMware Carbon Black VMware Carbon Black is a renowned security solution offering protection against the full spectrum of modern cyberattacks.

Engineering 86

Engineering APIs Metrics Management 86

AWS Machine Learning

APRIL 24, 2023

Amazon Comprehend is a fully managed and continuously trained natural language processing (NLP) service that can extract insight about the content of a document or text. accuracy by training on 800 data points and testing on 300 data points. API Gateway bypasses the request to Lambda.

APIs 64

APIs Customer Experience Feedback Chatbots 64

VirtualPBX

NOVEMBER 8, 2023

VirtualPBX offered the company a versatile and dependable phone system with the ability to manage multiple calls simultaneously. We liked the personalized training that came with it. Every missed call translated to lost business opportunities, a scenario that could not continue. The solution? VirtualPBX.

Healthcare 90

Healthcare APIs Customer centricity Accountability 90

AWS Machine Learning

OCTOBER 11, 2022

Supervised ML is a process that uses labeled datasets and outputs to train learning algorithms on how to classify data or predict an outcome. It provides APIs powered by ML to extract key phrases, entities, sentiment analysis, and more. The following diagram illustrates the architecture of the training stack.

APIs 77

APIs Enterprise Engineering Accountability 77

AWS Machine Learning

SEPTEMBER 23, 2022

We include CNN-QR and DeepAR+, two off-the-shelf models in Amazon Forecast , as well as a custom Transformer model trained using Amazon SageMaker. Because neural forecasters are trained on historical data, the forecasts generated based on out-of-distribution data from the more volatile periods could be inaccurate and unreliable.

APIs 87

APIs Metrics Automotive Engineering 87

AWS Machine Learning

FEBRUARY 15, 2024

In this post, we show you how to use SageMaker Canvas to curate and select the right features in your data, and then train a prediction model for anomaly detection, using the no-code functionality of SageMaker Canvas for model tuning. These allow you to train a model to predict the temperature from the other features.

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Metrics Analytics APIs Big data 96

AWS Machine Learning

JULY 19, 2022

You simply provide images with the appropriate labels, train the model, and deploy without having to build the model and fine-tune it. In this post, we show how to label, train, and build a computer vision model to detect rooftops and solar panels from satellite images. Use Amazon Rekognition to train the model with custom labels.

APIs 74

APIs Metrics Enterprise Government 74

AWS Machine Learning

MAY 30, 2024

Vitech needed a fully managed and secure experience to host LLMs and eliminate the undifferentiated heavy lifting associated with hosting 3P models. Fine-tuning would allow Vitech to train the model on a small sample set, thereby allowing the model to provide response using Vitech’s vocabulary.

Chatbots 107

Chatbots Engineering APIs Technology 107

AWS Machine Learning

SEPTEMBER 9, 2022

The platform has shown a 3% boost to customer engagement metrics tracked (liking a show, following a creator, enabling upcoming show notifications) since its launch in May 2022. The independent nature of each individual metric transformation also makes Lambda, which is a stateless service on its own, a good fit for this problem.

Personalization 76

Personalization APIs Engineering Metrics 76

CSM Magazine

APRIL 26, 2024

In today’s era, Learning Management Systems (LMS) have become tools for organizations to provide effective training and education. Identify the metrics for your organization’s learning initiatives and concentrate on monitoring those specific areas. This eliminates data entry and decreases the likelihood of errors.

APIs 52

APIs Analytics Metrics Education 52