AWS Machine Learning

OCTOBER 19, 2023

Content moderation in Amazon Rekognition Amazon Rekognition is a managed artificial intelligence (AI) service that offers pre-trained and customizable computer vision capabilities to extract information and insights from images and videos. Import images from an Amazon Simple Storage Service (Amazon S3) bucket and provide labels.

APIs 105

APIs Best practices Advertising Accountability 105

TechSee

MARCH 16, 2023

As the leader in computer vision solutions for the service industry, we at TechSee work with large organizations to help them utilize AI to automate service for their products. VI Studio uses a sampling of images labeled and tagged by humans to train computer vision AI models.

APIs 109

APIs CRM Technology Sales 109

AWS Machine Learning

MARCH 28, 2024

For example, the training data used for BloombergGPT is 51% domain-specific documents, including financial news, filings, and other financial materials. Collecting and preparing finance data Domain continual pre-training necessities a large-scale, high-quality, domain-specific dataset.

Finance 94

Finance Metrics Banking Engineering 94

AWS Machine Learning

MAY 5, 2023

Amazon Kendra is an intelligent search service powered by ML, and Amazon Rekognition is an ML service that can identify objects, people, text, scenes, and activities from images or videos. However, generic search queries would span a wide range of services and across different content creation dates.

Engineering 101

Engineering APIs Scripts Enterprise 101

24-7 InTouch

JANUARY 16, 2024

In our partnership with a multinational e-commerce company, we were chosen to provide digital annotation and data labeling services, based on our highly successful performance across various other lines of business with the brand.

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AWS Machine Learning

MARCH 22, 2023

With Amazon Rekognition Custom Labels , you can have Amazon Rekognition train a custom model for object detection or image classification specific to your business needs. Developing a Rekognition Custom Labels model to analyze images is a significant undertaking that requires time, expertise, and resources, often taking months to complete.

APIs 79

APIs Metrics Engineering Feedback 79

NobelBiz

FEBRUARY 20, 2024

Contact centers are the heartbeats of customer service, enabling seamless communication between businesses and their clientele across the globe. Play Video Table of Contents The Pitfalls of Conventional Voice Services For most clients, the difference between voice services is undetectable until significant issues arise.

voip 105

voip Interactive Voice Response Contact Center Call Center 105

AWS Machine Learning

NOVEMBER 6, 2023

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents. Custom Queries provides a way for you to customize the Queries feature for your business-specific, non-standard documents such as auto lending contracts, checks, and pay statements, in a self-service way.

APIs 98

APIs Best practices Banking Accountability 98

24-7 InTouch

DECEMBER 12, 2023

In our partnership with a multinational e-commerce company, we were chosen to provide digital annotation and data labeling services, based on our highly successful performance across various other lines of business with the brand.

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AWS Machine Learning

SEPTEMBER 1, 2023

Specifically, we briefly introduce MLOps principles and focus on the main differentiators compared to FMOps and LLMOps regarding processes, people, model selection and evaluation, data privacy, and model deployment. These data owners are focused on providing access to their data to multiple business units or teams.

Engineering 100

Engineering Accountability Construction APIs 100

24-7 InTouch

JANUARY 16, 2024

Unlock the power of data annotation and discover how it’s revolutionizing the way consumers interact with brands. By accurately annotating data, we enable a higher level of personalized brand engagement, ensuring the right information reaches your customers at the right time.

Technology 52

Technology Personalization 52

ShepHyken

NOVEMBER 11, 2022

He shares how companies can use QR codes to improve customer service and experience. For instance, QR codes can effectively be implemented in customer service. They save critical data, allowing consumers to access information and execute certain activities more quickly, ensuring an excellent customer service experience. .

Customer Service 161

Customer Service Feedback Advertising Customer Experience 161

AWS Machine Learning

MAY 5, 2023

To create this app, they need a high-quality dataset containing clothing images, labeled with different categories. In this post, we show how to repurpose an existing dataset via data cleaning, preprocessing, and pre-labeling with a zero-shot classification model in FiftyOne , and adjusting these labels with Amazon SageMaker Ground Truth.

Engineering 75

Engineering Feedback Marketing Management 75

AWS Machine Learning

FEBRUARY 24, 2023

For more information, refer to Preview: Use Amazon SageMaker to Build, Train, and Deploy ML Models Using Geospatial Data. Often these agencies are dealing with disaster imagery from low altitude and satellite sources, and this data is often unlabeled and difficult to use.

APIs 84

APIs Benchmark Government Analytics 84

AWS Machine Learning

FEBRUARY 23, 2023

These systems require petabytes of data and thousands of compute units (vCPUs and GPUs) to train. End-to-end training – This approach involves training a DNN model that takes raw sensor data as input and outputs the driving command. However, annotations are cheap because the system learns from the data collected through human behavior.

Automotive 88

Automotive Construction Engineering Scripts 88

AWS Machine Learning

APRIL 17, 2023

Furthermore, humans are also error-prone and have limited capacity to process large amounts of data, making manual efforts to detect fraud time-consuming, which can result in missed fraudulent transactions, increased losses, and reputational damage. Moreover, Amazon Fraud Detector performs label assignments and sampling for unlabeled events.

APIs 71

APIs Government Metrics Engineering 71

AWS Machine Learning

DECEMBER 22, 2022

Launched at AWS re:Invent 2021, Amazon SageMaker Ground Truth Plus helps you create high-quality training datasets by removing the undifferentiated heavy lifting associated with building data labeling applications and managing the labeling workforce. Separately, all the projects used the same IAM role for accessing data.

Engineering 72

Engineering Accountability Consulting Consulting 72

Comm100

SEPTEMBER 25, 2021

The modern consumer is looking for the easiest and quickest way to access your products or services. Any delays in service provision can lead to client loss, decreased revenue, and injured brand reputation. Here‘s everything you should expect in a white label live chat service. What is a white label chat service?

Analytics 88

Analytics Marketing Customer Experience Management 88

AWS Machine Learning

SEPTEMBER 22, 2023

To improve the base model’s instruction-following ability, human data annotators are tasked with authoring responses to various prompts. The collected responses (often referred to as demonstration data) are used in a process called supervised fine-tuning (SFT). This occurs because the model is trained to predict the next token.

Engineering 94

Engineering Feedback industry standards Benchmark 94

AWS Machine Learning

MARCH 13, 2023

Amazon SageMaker Ground Truth Plus is a managed data labeling service that makes it easy to label data for machine learning (ML) applications. One common use case is semantic segmentation, which is a computer vision ML technique that involves assigning class labels to individual pixels in an image.

Metrics 68

Metrics APIs Feedback Engineering 68

TechSee

MARCH 2, 2023

With new AI capabilities and compelling use cases being demonstrated daily, the service industry looks forward to a new generation of AI providers that answer their needs for high-quality service automation. What resources should I allocate to bring your AI solution into my service organization?

Enterprise 109

Enterprise Coaching Chatbots Self service 109

AWS Machine Learning

AUGUST 10, 2022

Amazon Rekognition Custom Labels is a fully managed computer vision service that allows developers to build custom models to classify and identify objects in images that are specific and unique to your business. Rekognition Custom Labels doesn’t require you to have any prior computer vision expertise. Solution overview.

Scripts 76

Scripts APIs Enterprise Analytics 76

AWS Machine Learning

JULY 19, 2022

In this post, we discuss how you can identify solar panels on rooftops from satellite imagery using Amazon Rekognition Custom Labels. But the reality is that you need to build your own data science teams that have the specific expertise and experience to build a production machine learning (ML) application for your specific use case.

APIs 69

APIs Metrics Enterprise Government 69

AWS Machine Learning

SEPTEMBER 9, 2022

In this post, we discuss best practices to improve the performance of your computer vision models using Amazon Rekognition Custom Labels. Rekognition Custom Labels is a fully managed service to build custom computer vision models for image classification and object detection use cases. Sample data size. Color contrast.

Metrics 73

Metrics Best practices Management Technology 73

AWS Machine Learning

AUGUST 3, 2023

Amazon Rekognition is a fully managed service that can perform CV tasks like object detection, video segment detection, content moderation, and more to extract insights from data without the need of any prior ML experience. In some cases, a more custom solution might be needed along with the service to solve a very specific problem.

APIs 63

APIs Scripts Engineering Technical Support 63

AWS Machine Learning

NOVEMBER 10, 2022

Prodege is a data-driven marketing and consumer insights platform comprised of consumer brands—Swagbucks, MyPoints, Tada, ySense, InboxDollars, InboxPounds, DailyRewards, PollFish, and Upromise—along with a complementary suite of business solutions for marketers and researchers. Overview of solution: Rekognition Custom Labels.

Accountability 68

Accountability APIs Enterprise Marketing 68

AWS Machine Learning

SEPTEMBER 6, 2022

When most people think of using machine learning (ML) with audio data, the use case that usually comes to mind is transcription , also known as speech-to-text. Using audio data with machine learning. The first step in detecting audio events is understanding how audio data is represented. The following image shows an example.

Engineering 74

Engineering APIs Healthcare SaaS 74

AWS Machine Learning

FEBRUARY 6, 2024

Traditional manual processing of adverse events is made challenging by the increasing amount of health data and costs. In this solution, we fine-tune a variety of models on Hugging Face that were pre-trained on medical data and use the BioBERT model, which was pre-trained on the Pubmed dataset and performs the best out of those tried.

Healthcare 95

Healthcare Engineering Construction Consulting 95

AWS Machine Learning

AUGUST 16, 2023

Training machine learning (ML) models to interpret this data, however, is bottlenecked by costly and time-consuming human annotation efforts. By training on large amounts of unlabeled image data, self-supervised models learn image representations that can be transferred to downstream tasks, such as image classification or segmentation.

Scripts 71

Scripts Analytics Technology Benchmark 71

AWS Machine Learning

MARCH 26, 2024

On a high level, the accounts payable process includes receiving and scanning invoices, extraction of the relevant data from scanned invoices, validation, approval, and archival. The labels are imperfect and inconsistent. In this post, we show how to automate the accounts payable process using Amazon Textract for data extraction.

APIs 88

APIs Construction Analytics Enterprise 88

AWS Machine Learning

JUNE 27, 2022

Launched at AWS re:Invent 2021, Amazon SageMaker Ground Truth Plus helps you create high-quality training datasets by removing the undifferentiated heavy lifting associated with building data labeling applications and managing the labeling workforce. Inspect labeled dataset quality. Set up a project team.

Feedback 68

Feedback Engineering Quality management Management 68

AWS Machine Learning

MARCH 29, 2023

AIDA is a web-based platform that allows program managers and evaluators to expand their evidence base by searching existing data in a smarter, more efficient, and innovative way to produce insights and lessons learned. Moreover, traditional search methods didn’t work well with unstructured data, therefore the evidence base was limited.

APIs 68

APIs Construction Metrics Technology 68

TechSee

JULY 17, 2023

Service leaders are increasingly looking towards AI to stay ahead, or even just to stay afloat. Language Models (LLMs) have emerged as a powerful tool with the potential to revolutionize customer service, automating responses, personalizing experiences, and enhancing operational efficiency.

Best practices 109

Best practices Customer centricity Chatbots Education 109

AWS Machine Learning

MARCH 6, 2024

Various cancers Data source: Urquhart, L. In the following sections, we go through the steps to prepare your training data, create a training script, and run a SageMaker training job. We could resample our data and discard records from the majority class. COVID-19 Spikevax Moderna $21.8 COVID-19 Humira AbbVie $21.6

Scripts 90

Scripts Biotechnology Healthcare Accountability 90

AWS Machine Learning

JUNE 29, 2022

This has led to an exponential growth in the amount of online conversation data, which has helped in the development of state-of-the-art natural language processing (NLP) systems like chatbots and natural language generation (NLG) models. To generate binary labels (for example, toxic or non-toxic), a threshold of 0.5 Prerequisites.

Metrics 72

Metrics Telecommunications APIs Benchmark 72

AWS Machine Learning

SEPTEMBER 20, 2023

Another example is independent software vendors (ISVs) that make their products and services available in different cloud platforms to benefit their end customers. We train the model using Amazon SageMaker, store the model artifacts in Amazon Simple Storage Service (Amazon S3), and deploy and run the model in Azure.

Scripts 97

Scripts Engineering Accountability Enterprise 97

AWS Machine Learning

MARCH 30, 2023

The Snapper tool automatically adjusts noisy annotations, reducing the time required to annotate data at a high-quality level. To evaluate Snapper, we dynamically generated noisy annotation data by randomly adjusting the COCO ground truth bounding box coordinates with jitter. The following table summarizes our findings.

Engineering 83

Engineering Metrics Benchmark Advertising 83