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 find the sample script in GitHub.

Scripts 73

Scripts Engineering APIs Big data 73

AWS Machine Learning

APRIL 19, 2023

Sportradar is the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on Sportradar knowhow and technology to boost their business.

Engineering 75

Engineering APIs Scripts Education 75

AWS Machine Learning

NOVEMBER 16, 2022

Enhanced monitoring and observability for ML workloads including Amazon EKS, Kubeflow metrics, and application logs using Prometheus, Grafana, and Amazon CloudWatch integrations. Automated deployment options have been improved and simplified using Kustomize scripts and Helm charts. Kubeflow on AWS 1.6.1 and PyTorch 1.12.1.

Metrics 67

Metrics Scripts Enterprise APIs 67

Hodusoft

MAY 10, 2024

Virtual call centers leverage cloud-based technology to enable remote agents to handle customer inquiries from anywhere in the world. As communication technology continued to evolve, customers began using various channels (such as voice calls, video calls, email, live chat, social media, and messaging apps) to interact with businesses.

virtual call center 52

virtual call center Call Center Contact Center call center software 52

AWS Machine Learning

MARCH 20, 2023

Overview of the technology EC2 C6i instances are powered by third-generation Intel Xeon Scalable processors (also called Ice Lake) with an all-core turbo frequency of 3.5 Use the supplied Python scripts for quantization. Run the provided Python test scripts to invoke the SageMaker endpoint for both INT8 and FP32 versions.

Calibration 78

Calibration Scripts Benchmark APIs 78

AWS Machine Learning

NOVEMBER 21, 2023

REGION.amazonaws.com/sagemaker-matlab-training-r2023a:latest Open MATLAB and open the live script called PumpFaultClassificationMATLABSageMaker.mlx in folder examples/PumpFaultClassification. After checking the accuracy metrics for the locally-trained model, we can move the training into Amazon SageMaker.

Engineering 90

Engineering APIs Scripts Automotive 90

aircall

JUNE 11, 2021

Environment — surroundings, technology, and other outside influences. Voice communication has evolved from telegraph technology to cloud technology with a lot of experiments, patents, and mergers along the way. 1877 — Telephone exchanges using analog and PBX technology were invented, enabling long-distance calling capabilities.

voip 62

voip APIs Call Center Telecommunications 62

AWS Machine Learning

SEPTEMBER 9, 2022

Amp wanted a scalable data and analytics platform to enable easy access to data and perform machine leaning (ML) experiments for live audio transcription, content moderation, feature engineering, and a personal show recommendation service, and to inspect or measure business KPIs and metrics. This post is the first in a two-part series.

Analytics 69

Analytics Engineering APIs Metrics 69

AWS Machine Learning

AUGUST 3, 2022

For example, you can immediately start detecting entities such as people, places, commercial items, dates, and quantities via the Amazon Comprehend console , AWS Command Line Interface , or Amazon Comprehend APIs. F1 score – This is a combination of the precision and recall metrics, which measures the overall accuracy of the model.

Benchmark 67

Benchmark APIs Metrics Scripts 67

The Northridge Group

MAY 2, 2023

Will, and How, This New Technology Model Help Contact Centers? For the past several months the technology conversation has been dominated by the emergence of ChatGPT, first GPT-3, then GPT-3.5, This technology equips ChatGPT to hold conversations about almost anything without any prior programming or configuration.

Contact Center 67

Contact Center B2C Chatbots B2B 67

AWS Machine Learning

NOVEMBER 16, 2022

Upon a new model version registration, someone with the authority to approve the model based on the metrics should approve or reject the model. You can use Boto3 APIs as shown the following example, or you can use the AWS Management Console to create the model package. First we need to ensure the model package groups exists.

Accountability 82

Accountability Best practices Scripts Engineering 82

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 106

Engineering Accountability Construction APIs 106

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 126

Best practices Government Engineering Accountability 126

AWS Machine Learning

JANUARY 8, 2024

With AWS intelligent document processing (IDP) using AI services such as Amazon Textract , you can take advantage of industry-leading machine learning (ML) technology to quickly and accurately process data from PDFs or document images (TIFF, JPEG, PNG). The following diagram illustrates the sequence of events within the script.

Scripts 91

Scripts Construction APIs Healthcare 91

AWS Machine Learning

FEBRUARY 19, 2024

This innovative technology makes producing custom images in large volume for any industry more accessible and efficient. An asynchronous API and Amazon OpenSearch Service connector make it easy to integrate the model into your neural search applications. For Python scripts, you can use the AWS SDK for Python (Boto3).

Scripts 102

Scripts APIs Entertainment Engineering 102

Enghouse Interactive

OCTOBER 21, 2020

Training is key – to facilitate change and to make the agents comfortable with the new technologies. Augmented conversations – aided by Artificial Intelligence – will be the new normal. Agents will become more capable when using AI and should be comfortable doing so.

Self service 76

Self service Contact Center Benchmark Chatbots 76

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.

Metrics 70

Metrics APIs Scripts Wireless 70

AWS Machine Learning

APRIL 29, 2024

This often means the method of using a third-party LLM API won’t do for security, control, and scale reasons. It provides an approachable, robust Python API for the full infrastructure stack of ML/AI, from data and compute to workflows and observability. The following figure illustrates this workflow.

APIs 102

APIs Engineering Scripts Management 102

JustCall

APRIL 12, 2023

Highlights of JustCall and Aircall Highlights of JustCall: JustCall is a SaaS VoIP application, which is typically used by the following industries: Marketing and Advertising (9.7%) Computer Software (9.3%) Real Estate (8.4%) Education Management (6.6%) Information Technology and Services (6.2%) Others (59.7%

Real estate 52

Real estate Interactive Voice Response CRM Call Center 52

AWS Machine Learning

APRIL 23, 2024

Here are some features which we will cover: AWS CloudFormation support Private network policies for Amazon OpenSearch Serverless Multiple S3 buckets as data sources Service Quotas support Hybrid search, metadata filters, custom prompts for the RetreiveAndGenerate API, and maximum number of retrievals.

APIs 107

APIs Enterprise Scripts Accountability 107

AWS Machine Learning

APRIL 19, 2024

Iambic Therapeutics is a drug discovery startup with a mission to create innovative AI-driven technologies to bring better medicines to cancer patients, faster. Our technologies are versatile and applicable across therapeutic areas, protein classes, and mechanisms of action. The following diagram illustrates the solution architecture.

Metrics 103

Metrics APIs Scripts Construction 103

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 70

APIs Government Accountability Scripts 70

AWS Machine Learning

DECEMBER 6, 2023

Another driver behind RAG’s popularity is its ease of implementation and the existence of mature vector search solutions, such as those offered by Amazon Kendra (see Amazon Kendra launches Retrieval API ) and Amazon OpenSearch Service (see k-Nearest Neighbor (k-NN) search in Amazon OpenSearch Service ), among others.

Analytics 104

Analytics APIs Engineering Construction 104

Balto

NOVEMBER 2, 2023

Further, technology advancements have provided enterprises with more opportunities to improve customer experience by collecting and analyzing relevant customer and conversation data from various sources. Technology can also help contact centers guide and coach agents by easily identifying their strengths and weaknesses.

contact center solutions 52

contact center solutions Enterprise Contact Center Agent burnout 52

AWS Machine Learning

FEBRUARY 12, 2024

Client package development – A client package was developed that acts as a wrapper around SageMaker APIs and the previously existing code. For hyperparameter tuning, a hyperparameter optimization (HPO) job can be initiated, selecting the best model based on the objective metric. The evaluation report is then stored in Amazon S3.

Engineering 113

Engineering Wait times Metrics Accountability 113

AWS Machine Learning

JULY 3, 2023

This includes scripts for model loading, inference handling etc. Then, using the SageMaker API, we can start the asynchronous inference job as follows: import glob import time max_images = 10 input_locations,output_locations, = [], [] for i, file in enumerate(glob.glob("data/processedimages/*.png")):

APIs 82

APIs Calibration Scripts Automotive 82

AWS Machine Learning

AUGUST 29, 2023

The data scientist then needs to review and manually approve the latest version of the model in the Amazon SageMaker Studio UI or via an API call using the AWS Command Line Interface (AWS CLI) or AWS SDK for Python (Boto3) before the new version of model can be utilized for inference.

Scripts 72

Scripts APIs Enterprise Accountability 72

Tenfold - Contact Center Blog

DECEMBER 28, 2017

Depending on organizational needs, call centers can implement an array of different technologies, from basic to sophisticated. Leading Technologies for Workforce Management in Call Centers. Here we list the leading technologies that help a call center in managing its workforce in best possible way. AI helps in quality assurance.

call center workforce 54

call center workforce Call Center Technology Management 54

AWS Machine Learning

APRIL 12, 2023

All the training and evaluation metrics were inspected manually from Amazon Simple Storage Service (Amazon S3). The code to invoke the pipeline script is available in the Studio notebooks, and we can change the hyperparameters and input/output when invoking the pipeline.

Scripts 81

Scripts APIs Metrics Best practices 81

AWS Machine Learning

OCTOBER 11, 2022

It provides APIs powered by ML to extract key phrases, entities, sentiment analysis, and more. To install the active LTS version of Node.js, you can use the following install script for nvm and use nvm to install the Node.js If you’re running this solution in us-east-2, the format of this REST API is [link].execute-api.us-east-2.amazonaws.com/prod/invokecomprehendV1.

APIs 74

APIs Enterprise Engineering Accountability 74

AWS Machine Learning

DECEMBER 18, 2023

If you need an automated workflow or direct ML model integration into apps, Canvas forecasting functions are accessible through APIs. When the model is ready, select the model and click on the latest version Review the model metrics and column impact and if you are satisfied with the model performance, click Predict.

Finance 107

Finance APIs Analytics Scripts 107

AWS Machine Learning

MAY 8, 2023

To use TensorRT as a backend for Triton Inference Server, you need to create a TensorRT engine from your trained model using the TensorRT API. Inference requests arrive at the server via either HTTP/REST or by the C API , and are then routed to the appropriate per-model scheduler. script from the following cell.

Engineering 84

Engineering APIs Best practices Scripts 84

Babelforce

NOVEMBER 30, 2022

We’ve divided our definitions into the following categories: Metrics and measurables Technology Contact center terminology Business practices and methodology. Metrics and measurables. Active waiting calls metric. Technology. Application Programming Interface (API). Key Performance Indicator (KPI).

Contact Center 52

Contact Center Interactive Voice Response Call Center Automatic Callback 52

AWS Machine Learning

JULY 25, 2022

Trumid is a financial technology company building tomorrow’s credit trading network—a marketplace for efficient trading, information dissemination, and execution between corporate bond market participants. The bond trading market has traditionally involved offline buyer/seller matching processes aided by rules-based technology.

Scripts 70

Scripts Engineering Analytics APIs 70

AWS Machine Learning

JUNE 6, 2023

Several new technologies including torch.compile, TorchDynamo, AOTAutograd, PrimTorch, and TorchInductor have been included in the PyTorch2.0 Run your DLC container with a model training script to fine-tune the RoBERTa model. Clone the latest scripts adapted to PyTorch 2.0 Clone the scripts with the following code: #STEP 3.1

Scripts 69

Scripts APIs Benchmark Management 69

AWS Machine Learning

MAY 9, 2023

Inference requests arrive at the server via either HTTP/REST or by the C API and are then routed to the appropriate per-model scheduler. SageMaker MMEs offer capabilities for running multiple deep learning or ML models on the GPU at the same time with Triton Inference Server, which has been extended to implement the MME API contract.

APIs 83

APIs Scripts Best practices Enterprise 83

AWS Machine Learning

OCTOBER 27, 2022

The quick way to identify a CPU bottleneck is to monitor CPU and GPU utilization metrics for SageMaker training jobs in Amazon CloudWatch. You can access these views from the AWS Management Console within the training job page’s instance metrics hyperlink. Pick the relevant metrics and switch from 5-minute to 1-minute resolution.

Scripts 69

Scripts Benchmark Metrics Transportation 69