AWS Machine Learning

MARCH 1, 2023

You can use the flywheel active model version to run custom analysis (real-time or asynchronous jobs). To use the flywheel model for real-time analysis, you must create an endpoint for the flywheel. Configuring datasets To add labeled training or test data to a flywheel, use the Amazon Comprehend console or API to create a dataset.

APIs 67

APIs Metrics Accountability Scripts 67

AWS Machine Learning

SEPTEMBER 28, 2022

You can perform data analysis, train your models, and test them using your own algorithms or use SageMaker-provided ML algorithms that are optimized to run efficiently against large datasets spread across multiple machines. Prepare your trained model and inference script. pth,pkl, and so on) and an inference script.

Scripts 74

Scripts APIs Engineering Consulting 74

AWS Machine Learning

DECEMBER 21, 2022

Customers can also access offline store data using a Spark runtime and perform big data processing for ML feature analysis and feature engineering use cases. A new optional parameter TableFormat can be set either interactively using Amazon SageMaker Studio or through code using the API or the SDK. Select Python Shell script editor.

Scripts 72

Scripts Engineering APIs Big data 72

JivoChat

JANUARY 31, 2023

There is where data analysis comes in, you can use the data your company has, and key performance indicators (KPIs) to indicate what path you should follow. Data Analysis Masterclass With the Data Analysis Masterclass, you will learn basic formatting in Excel, string functions in SQL, and how to connect Python and MySQL.

Analytics 75

Analytics APIs Scripts Big data 75

COPC

OCTOBER 26, 2023

Crafting LLM AI Assistants: Roles, Process and Timelines Using the latest AI may seem as easy as developers using APIs in commercial LLM options like OpenAI. But it’s much more than enlisting engineers to call LLM APIs. Understanding performance requires data analysis by business/data analysts or data scientists.

Technology 77

Technology Customer Experience APIs Consulting 77

AWS Machine Learning

MAY 25, 2023

We implement the RAG functionality inside an AWS Lambda function with Amazon API Gateway to handle routing all requests to the Lambda. We implement a chatbot application in Streamlit which invokes the function via the API Gateway and the function does a similarity search in the OpenSearch Service index for the embeddings of user question.

APIs 76

APIs Enterprise Accountability Chatbots 76

AWS Machine Learning

MARCH 21, 2023

Data Wrangler is a low-code tool that facilitates data analysis, preprocessing, and visualization. Instead of hardcoding the custom function into your custom transform step, you pull a script containing the function from CodeCommit, load it, and call the loaded function in your custom transform step. Choose Preview.

Scripts 62

Scripts Banking APIs Best practices 62

AWS Machine Learning

MAY 22, 2023

These models have proven extremely effective for a wide range of text-based tasks, from question answering to sentiment analysis. Note that you need to pass the Predictor class when deploying model through the Model class to be able to run inference through the SageMaker API.

APIs 88

APIs Scripts Metrics Accountability 88

AWS Machine Learning

AUGUST 30, 2023

For a quantitative analysis of the generated impression, we use ROUGE (Recall-Oriented Understudy for Gisting Evaluation), the most commonly used metric for evaluating summarization. In order to run inference through SageMaker API, make sure to pass the Predictor class.

Healthcare 109

Healthcare APIs Metrics Scripts 109

AWS Machine Learning

JUNE 9, 2022

Recently, we also announced the launch of easy-to-use JumpStart APIs as an extension of the SageMaker Python SDK, allowing you to programmatically deploy and fine-tune a vast selection of JumpStart-supported pre-trained models on your own datasets. JumpStart overview. The dataset has been downloaded from TensorFlow. Walkthrough overview.

Scripts 66

Scripts APIs Enterprise Accountability 66

AWS Machine Learning

MARCH 20, 2023

Use the supplied Python scripts for quantization. Run the provided Python test scripts to invoke the SageMaker endpoint for both INT8 and FP32 versions. Quantizing the model in PyTorch is possible with a few APIs from Intel PyTorch extensions. py scripts for testing. times greater with INT8 quantization. 2xLarge-INT8 35.7

Calibration 77

Calibration Scripts Benchmark APIs 77

AWS Machine Learning

AUGUST 3, 2023

Finally, we show how you can integrate this car pose detection solution into your existing web application using services like Amazon API Gateway and AWS Amplify. For each option, we host an AWS Lambda function behind an API Gateway that is exposed to our mock application. iterdir(): if p_file.suffix == ".pth":

APIs 63

APIs Scripts Engineering Technical Support 63

AWS Machine Learning

JULY 29, 2022

SageMaker provides easy access to your data sources for exploration and analysis, and also provides common ML algorithms and frameworks that are optimized to run efficiently against extremely large data in a distributed environment. The following diagram illustrates the data processing procedure. About the authors.

Scripts 70

Scripts Analytics Accountability Engineering 70

AWS Machine Learning

FEBRUARY 1, 2023

Amazon Rekognition has two sets of APIs that help you moderate images or videos to keep digital communities safe and engaged. Some customers have asked if they could use this approach to moderate videos by sampling image frames and sending them to the Amazon Rekognition image moderation API.

APIs 66

APIs Scripts Metrics Surveys 66

AWS Machine Learning

FEBRUARY 8, 2024

At the forefront of this evolution sits Amazon Bedrock , a fully managed service that makes high-performing foundation models (FMs) from Amazon and other leading AI companies available through an API. System integration – Agents make API calls to integrated company systems to run specific actions.

APIs 118

APIs Scripts Enterprise Management 118

AWS Machine Learning

NOVEMBER 21, 2022

This notebook demonstrates how to use the JumpStart API for text classification. To run inference on this model, we first need to download the inference container ( deploy_image_uri ), inference script ( deploy_source_uri ), and pre-trained model ( base_model_uri ). Text classification.

Scripts 71

Scripts Metrics APIs Healthcare 71

AWS Machine Learning

AUGUST 3, 2023

Data classification, extraction, and analysis can be challenging for organizations that deal with volumes of documents. In the current scenario, you need to dedicate resources to accomplish such tasks using human review and complex scripts. This approach is tedious and expensive.

APIs 74

APIs Banking Enterprise Construction 74

CSM Magazine

DECEMBER 12, 2019

Cloud-based APIs. Having inflexible channels driven by legacy systems and tools with scripting and code that must be locked down months in advance is a recipe for the same mediocre results – and a loss of customer loyalty.

Interactive Voice Response 52

Interactive Voice Response Customer Experience APIs Average Handle Time 52

NobelBiz

FEBRUARY 15, 2023

Key Points CCaaS is paramount to successfully add a new communication channel You must consider the tone, scripts and pace of new channels Your Call Center must track the right KPIs for every new channel How to add a new communication channel in a call center? Integration with your current software (CRM, API etc.)

Call Center 52

Call Center Scripts Average Handle Time Customer effort 52

AWS Machine Learning

AUGUST 14, 2023

Answer: 2021 ### Context: NLP Cloud developed their API by mid-2020 and they added many pre-trained open-source models since then. Answer: API ### Context: All plans can be stopped anytime. The model URI, which contains the inference script, and the URI of the Docker container are obtained through the SageMaker SDK.

Engineering 70

Engineering APIs Chatbots Scripts 70

AWS Machine Learning

APRIL 5, 2024

Gramener’s GeoBox solution empowers users to effortlessly tap into and analyze public geospatial data through its powerful API, enabling seamless integration into existing workflows. A grid system is established with a 48-meter grid size using Mapbox’s Supermercado Python library at zoom level 19, enabling precise spatial analysis.

APIs 101

APIs Engineering Analytics Healthcare 101

AWS Machine Learning

DECEMBER 6, 2022

The Trainer class provides an API for feature-complete training in PyTorch. For more information about this up-and-coming topic, we encourage you to explore and test our script on your own. AWS offers pre-trained AWS AI services that can be integrated into applications using API calls and require no ML experience.

Engineering 73

Engineering APIs Construction Metrics 73

AWS Machine Learning

OCTOBER 10, 2023

As a SageMaker JumpStart model hub customer, you can use ASR without having to maintain the model script outside of the SageMaker SDK. In this post, we demonstrate how to deploy the Whisper API using the SageMaker Studio console or a SageMaker Notebook and then use the deployed model for speech recognition and language translation.

APIs 88

APIs Scripts Metrics Accountability 88

Enghouse Interactive

OCTOBER 21, 2020

Agents will be presented with increasingly more complex situations which will require more engagement, insight and analysis. Validate your assumptions and findings based on the next round of customer feedback analysis. This will positively impact agent engagement and commitment (and longevity) and the customer experience delivered.

Self service 76

Self service Contact Center Benchmark Chatbots 76

AWS Machine Learning

JULY 29, 2022

Amazon Comprehend is a fully managed service that can perform NLP tasks like custom entity recognition, topic modelling, sentiment analysis and more to extract insights from data without the need of any prior ML experience. Build your training script for the Hugging Face SageMaker estimator. return tokenized_dataset. to(device).

Scripts 81

Scripts APIs Big data Engineering 81

JustCall

APRIL 12, 2023

No native conversation intelligence features Customization is available with customized working hours, phone numbers, outbound caller IDs, call greetings, and more Customization is available for a few features Real-time call transcriptions and prompts to help agents navigate calls effectively.

Real estate 52

Real estate Interactive Voice Response CRM Call Center 52

AWS Machine Learning

NOVEMBER 1, 2022

Additionally, we won’t be able to make an informed decision post-analysis of those insights prior to building the ML models. The data flow recipe consists of preprocessing steps along with a bias report, multicollinearity report, and model quality analysis. Overview of solution. DeShazo, Chris Gennings, Juan L. Cios, and John N.

Engineering 91

Engineering APIs Accountability industry solution 91

AWS Machine Learning

FEBRUARY 19, 2024

An asynchronous API and Amazon OpenSearch Service connector make it easy to integrate the model into your neural search applications. Before you can write scripts that use the Amazon Bedrock API, you need to install the appropriate version of the AWS SDK in your environment. The vectors power speedy, accurate search experiences.

Scripts 96

Scripts APIs Entertainment Engineering 96

AWS Machine Learning

SEPTEMBER 8, 2023

Amazon Rekognition makes it easy to add image analysis capability to your applications without any machine learning (ML) expertise and comes with various APIs to fulfil use cases such as object detection, content moderation, face detection and analysis, and text and celebrity recognition, which we use in this example.

APIs 93

APIs Scripts Entertainment Personalization 93

AWS Machine Learning

SEPTEMBER 1, 2023

In this scenario, the generative AI application, designed by the consumer, must interact with the fine-tuner backend via APIs to deliver this functionality to the end-users. Some models may be trained on diverse text datasets like internet data, coding scripts, instructions, or human feedback. 15K available FM reference Step 1.

Engineering 100

Engineering Accountability Construction APIs 100

AWS Machine Learning

DECEMBER 1, 2022

A typical remote sensing project for developing new solutions requires a step-by-step analysis of imagery taken by optical satellites such as Sentinel or Landsat , in combination with other data, including weather forecasts or specific field properties. We also include code examples so you can adapt these to your own specific use cases.

Scripts 76

Scripts APIs Management Technology 76

AWS Machine Learning

JANUARY 26, 2024

Consider inserting AWS Web Application Firewall (AWS WAF) in front to protect web applications and APIs from malicious bots , SQL injection attacks, cross-site scripting (XSS), and account takeovers with Fraud Control.

Best practices 120

Best practices Government Engineering Accountability 120

AWS Machine Learning

MARCH 22, 2023

Access and permissions to configure IDP to register Data Wrangler application and set up the authorization server or API. Configure the IdP To set up your IdP, you must register the Data Wrangler application and set up your authorization server or API. Configure Snowflake. Configure SageMaker Studio.

APIs 79

APIs Engineering Analytics Scripts 79

JustCall

FEBRUARY 20, 2024

JustCall helps you do exactly that with sentiment analysis , advanced analytics, call insights, etc. JustCall is easier to integrate: JustCall boasts 100+ integrations for CRMs , webhooks, or APIs, offering seamless compatibility with various business tools. There are also many other important differences between the two (i.e.,

Sales 52

Sales APIs Scripts Analytics 52

AWS Machine Learning

NOVEMBER 14, 2022

You need to complete three steps to deploy your model: Create a SageMaker model: This will contain, among other parameters, the information about the model file location, the container that will be used for the deployment, and the location of the inference script. (If The inference script URI is needed in the INFERENCE_SCRIPT_S3_LOCATION.

Scripts 81

Scripts APIs Best practices Engineering 81

SmartAction

MAY 23, 2019

CX Insights Manager – performs ongoing monitoring and analysis of data and recordings/transcripts. With API integrations to these multiple systems, virtual agents can handle these processes faster and easier than a live agent, which will free up the live agent from tedious tasks.

Self service 40

Self service Virtual Agent Contact Center Engineering 40

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 99

Analytics APIs Engineering Construction 99