AWS Machine Learning

AUGUST 13, 2024

Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case. Lastly, the Lambda function stores the question list in Amazon S3.

Healthcare 126

Healthcare APIs Consulting Consulting 126

AWS Machine Learning

OCTOBER 2, 2024

It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Government 116

Government APIs Enterprise Best practices 116

AWS Machine Learning

JUNE 19, 2024

The Slack application sends the event to Amazon API Gateway , which is used in the event subscription. API Gateway forwards the event to an AWS Lambda function. About the Authors Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice.

APIs 97

APIs Engineering Accountability Big data 97

AWS Machine Learning

JUNE 30, 2022

The corporate portal application makes a private API call using an API Gateway VPC endpoint to create a presigned URL. The API Gateway VPC endpoint “create presigned URL” call is forwarded to the Route 53 inbound resolver on the customer VPC as configured in the corporate DNS. sagemaker.aws. About the Authors.

APIs 91

APIs Enterprise Big data Accountability 91

AWS Machine Learning

FEBRUARY 1, 2024

Full stack generative AI Although a lot of the excitement around generative AI focuses on the models, a complete solution involves people, skills, and tools from several domains. In the batch case, there are a couple challenges compared to typical data pipelines. He entered the big data space in 2013 and continues to explore that area.

Best practices 131

Best practices Engineering SaaS Accountability 131

AWS Machine Learning

AUGUST 29, 2022

You can now use cross-account support for Amazon SageMaker Pipelines to share pipeline entities across AWS accounts and access shared pipelines directly through Amazon SageMaker API calls. The data scientist is now able to describe and monitor the test pipeline run status using SageMaker API calls from the dev account.

Accountability 94

Accountability APIs Management Engineering 94

AWS Machine Learning

JULY 15, 2024

Video dubbing has emerged as a key tool in breaking down linguistic barriers, enhancing viewer engagement, and expanding market reach. By using the infrastructure as code (IaC) tool, AWS CloudFormation , the pipeline becomes reusable for dubbing new foreign languages. Yaoqi Zhang is a Senior Big Data Engineer at Mission Cloud.

Engineering 115

Engineering Entertainment Big data APIs 115

AWS Machine Learning

NOVEMBER 3, 2022

Before you get started, refer to Part 1 for a high-level overview of the insurance use case with IDP and details about the data capture and classification stages. In Part 1, we saw how to use Amazon Textract APIs to extract information like forms and tables from documents, and how to analyze invoices and identity documents.

Analytics 88

Analytics APIs Healthcare Big data 88

AWS Machine Learning

JULY 19, 2022

They’re looking for cost-efficient approaches and tools to conduct targeted marketing to proactively reach out to potential customers. With rapid development in computer vision technology, several third-party tools use computer vision to analyze satellite images and identify objects (like solar panels) automatically.

APIs 82

APIs Metrics Enterprise Government 82

AWS Machine Learning

OCTOBER 27, 2022

After data is loaded to Amazon S3, an S3 event triggers AWS Lambda and invokes AWS Step Functions as an orchestration tool. We use an AWS Glue job to process the data into an S3 bucket. We can then call a Forecast API to create a dataset group and import data from the processed S3 bucket.

APIs 98

APIs Best practices Metrics Government 98

AWS Machine Learning

AUGUST 8, 2024

To address this, Twilio partnered with AWS to develop a virtual assistant that helps their data analysts find and retrieve relevant data from Twilio’s data lake by converting user questions asked in natural language to SQL queries. This solution is implemented using Anthropic Claude 3, available through Amazon Bedrock.

Engineering 115

Engineering Accountability Feedback Construction 115

AWS Machine Learning

DECEMBER 18, 2023

The SageMaker Canvas UI lets you seamlessly integrate data sources from the cloud or on-premises, merge datasets effortlessly, train precise models, and make predictions with emerging data—all without coding. Solution overview Users persist their transactional time series data in MongoDB Atlas.

Finance 120

Finance APIs Big data Analytics 120

AWS Machine Learning

APRIL 24, 2023

In this post, we explore how AWS customer Pro360 used the Amazon Comprehend custom classification API , which enables you to easily build custom text classification models using your business-specific labels without requiring you to learn machine learning (ML), to improve customer experience and reduce operational costs.

Customer Experience 71

Customer Experience APIs Feedback Chatbots 71

AWS Machine Learning

SEPTEMBER 9, 2022

Amp stakeholders require this data to power ML processes or predictive models, content moderation tools, and product and program dashboards (for example, trending shows). Streaming data enables Amp customers to conduct and measure experimentation. Amazon EMR performed the transformation from raw data to transformed data.

Analytics 81

Analytics Engineering Metrics APIs 81

AWS Machine Learning

JULY 24, 2023

They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. These tools have enabled Patsnap’s global customers to have a better understanding of patents, track recent technological advances, identify innovation trends, and analyze competitors in real time.

APIs 78

APIs Engineering Construction Benchmark 78

AWS Machine Learning

JUNE 24, 2022

In this post, you learn about the key phases of building an MLOps foundations, how multiple personas work together on this foundation, and the Amazon SageMaker purpose-built tools and built-in integrations with other AWS services that can accelerate the adoption of ML across an enterprise business. Data lake and MLOps integration.

Enterprise 110

Enterprise Engineering Accountability APIs 110

AWS Machine Learning

DECEMBER 1, 2022

Today, organizations invest significant technical expertise into building tooling to automate large portions of their governance and auditability workflow. It’s common for companies to use tools like Excel or email to capture and share such model information for use in approvals for production usage.

Government 92

Government Metrics APIs Engineering 92

AWS Machine Learning

SEPTEMBER 9, 2022

Its electronic health records, revenue cycle management, and patient engagement tools allow anytime, anywhere access, driving better financial outcomes for its customers and enabling its provider customers to deliver better quality care. Kubeflow achieves this by incorporating relevant open-source tools that integrate well with Kubernetes.

Engineering 88

Engineering Healthcare APIs Scripts 88

AWS Machine Learning

JULY 29, 2022

Their Python-based library ( Transformers ) provides tools to easily use popular state-of-the-art Transformer architectures like BERT, RoBERTa, and GPT. Amazon SageMaker is a fully managed service that provides developers and data scientists the ability to build, train, and deploy machine learning (ML) models quickly.

Scripts 95

Scripts APIs Big data Engineering 95

AWS Machine Learning

NOVEMBER 14, 2023

In the era of big data and AI, companies are continually seeking ways to use these technologies to gain a competitive edge. At the core of these cutting-edge solutions lies a foundation model (FM), a highly advanced machine learning model that is pre-trained on vast amounts of data.

Management 109

Management Best practices APIs Calibration 109

JivoChat

JANUARY 31, 2023

The Data Analyst Course With the Data Analyst Course, you will be able to become a professional in this area, developing all the necessary skills to succeed in your career. The course also teaches beginner and advanced Python, basics and advanced NumPy and Pandas, and data visualization. Workload: 20.5

Analytics 75

Analytics APIs Big data Scripts 75

AWS Machine Learning

JUNE 15, 2022

Edge is a term that refers to a location, far from the cloud or a big data center, where you have a computer device (edge device) capable of running (edge) applications. How do I eliminate the need of installing a big framework like TensorFlow or PyTorch on my restricted device? or Where is tool B? Edge computing.

Transportation 89

Transportation APIs Big data Wireless 89

AWS Machine Learning

FEBRUARY 13, 2024

A user-friendly interface, equipped with efficient search tools and comprehensive feature descriptions, is indispensable. In essence, a cross-account feature store setup meticulously segments the roles of data producers and consumers, ensuring efficiency, clarity, and innovation.

Accountability 124

Accountability Government Engineering Scripts 124

Balto

JANUARY 14, 2025

But modern analytics goes beyond basic metricsit leverages technologies like call center data science, machine learning models, and big data to provide deeper insights. Predictive Analytics: Uses historical data to forecast future events like call volumes or customer churn.

Call Center 52

Call Center Analytics Average Handle Time Big data 52

AWS Machine Learning

AUGUST 31, 2023

During AWS re:Invent 2022, AWS introduced new ML governance tools for Amazon SageMaker which simplifies access control and enhances transparency over your ML projects. The framework that gives systematic visibility into ML model development, validation, and usage is called ML governance.

Government 111

Government Accountability Enterprise Best practices 111

AWS Machine Learning

NOVEMBER 27, 2023

As AI adoption continues to accelerate, developing efficient mechanisms for digesting and learning from unstructured data becomes even more critical in the future. This could involve better preprocessing tools, semi-supervised learning techniques, and advances in natural language processing.

Engineering 89

Engineering APIs Big data Accountability 89

AWS Machine Learning

SEPTEMBER 6, 2023

Choose Tools , Security , and SSL Configuration. Now, let’s import the certificate into the keystore path using the key tool. Perform intelligent search with Amazon Kendra Before you try searching on the Amazon Kendra console or using the API, make sure that the data source sync is complete.

Management 117

Management Enterprise Analytics Finance 117

AWS Machine Learning

SEPTEMBER 11, 2024

In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. SIMD describes computers with multiple processing elements that perform the same operation on multiple data points simultaneously.

Benchmark 93

Benchmark Banking Analytics Big data 93

AWS Machine Learning

JULY 25, 2022

The result is an integrated trading solution delivering a full ecosystem of protocols and execution tools within one intuitive platform. For production, we wanted to invoke the model as a simple API call. For more information about graph ML tools, explore DGL-KE , DGL , and Amazon Neptune. About the authors.

Scripts 83

Scripts Engineering Analytics APIs 83

AWS Machine Learning

FEBRUARY 15, 2024

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance. The Lambda function can be called from an application or Amazon API Gateway.

Metrics 112

Metrics Analytics APIs Big data 112

AWS Machine Learning

AUGUST 29, 2023

Solution overview The following figure illustrates the proposed target MLOps architecture for enterprise batch inference for organizations who use GitLab CI/CD and Terraform infrastructure as code (IaC) in conjunction with AWS tools and services. The central model registry could optionally be placed in a shared services account as well.

Scripts 85

Scripts APIs Enterprise Accountability 85

Hodusoft

AUGUST 30, 2022

Businesses of every size, type, and industry can benefit from using cloud services for a variety of reasons such as: Data backup Software development and testing Email Disaster recovery Virtual desktops Big data analytics Customer-facing web applications, and more. The most popular cloud-based services: UCaaS, CCaas, and CPaaS.

Interactive Voice Response 52

Interactive Voice Response APIs Contact Center voip 52

aircall

APRIL 16, 2021

The acceleration of digital transformation means it’s possible for different business tools to work together seamlessly better than ever before, giving you a fully-contained digital ecosystem. Data and reporting – Prioritize and adjust team goals quickly for improved support team performance by syncing data from various tools.

SaaS 62

SaaS Sales Coaching APIs 62

AWS Machine Learning

AUGUST 2, 2023

With AI-powered tools and analytics, it has become easier than ever to build not just one story but customized stories to appear to end-users’ unique tastes and sensibilities. After ingestion, images can be searched via the Amazon Kendra search console, API, or SDK. Tanvi Singhal is a Data Scientist within AWS Professional Services.

Enterprise 84

Enterprise Healthcare APIs Big data 84

AWS Machine Learning

JULY 21, 2022

Compare and evaluate experiments – The integration of Experiments with Amazon SageMaker Studio makes it easy to produce data visualizations and compare different trials. You can also access the trial data via the Python SDK to generate your own visualization using your preferred plotting libraries.

Metrics 90

Metrics Scripts Enterprise Telecommunications 90

aircall

MAY 24, 2021

By following best practices for your digital transformation framework, you also get the benefit of flexibility so you can add and subtract digital tools as your company’s needs change. Overall, your digital transformation framework is the place to start whenever your data or new trends motivate you to change your tools or processes.

Best practices 62

Best practices Call Center Analytics Technology 62

Xaqt

FEBRUARY 6, 2020

Back then, Artificial Intelligence, APIs, Robotic Process Automation (RPA), and even "Big Data" weren't things yet. So once they’ve identified an issue, they are presented with options consistent with your business rules and objectives [a recommendation engine built with machine learning on massive amounts of data].

Contact Center 52

Contact Center Enterprise Call Center APIs 52