AWS Machine Learning

NOVEMBER 14, 2024

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM) , making it easier to securely share and discover machine learning (ML) models across your AWS accounts. Mitigation strategies : Implementing measures to minimize or eliminate risks.

Government 94

Government Management APIs Accountability 94

AWS Machine Learning

MARCH 13, 2024

Typically, these datasets are aggregated in a centralized Amazon Simple Storage Service (Amazon S3) location from various business applications and enterprise systems. This post walks through the steps involved in configuring S3 Access Points to enable cross-account access from a SageMaker notebook instance.

Accountability 113

Accountability Engineering Enterprise Big data 113

AWS Machine Learning

FEBRUARY 21, 2025

He specializes in large language models, cloud infrastructure, and scalable data systems, focusing on building intelligent solutions that enhance automation and data accessibility across Amazons operations. Chaithanya Maisagoni is a Senior Software Development Engineer (AI/ML) in Amazons Worldwide Returns and ReCommerce organization.

Engineering 116

Engineering APIs Analytics Enterprise 116

AWS Machine Learning

FEBRUARY 10, 2025

For more information about how to work with RDC and AWS and to understand how were supporting banking customers around the world to use AI in credit decisions, contact your AWS Account Manager or visit Rich Data Co. Before joining RDC, he served as a Lead Data Scientist at KPMG, advising clients globally.

Chief Customer Officer 93

Chief Customer Officer Banking SaaS Engineering 93

AWS Machine Learning

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise.

Big data 112

Big data Engineering Accountability Real estate 112

AWS Machine Learning

APRIL 11, 2023

Enterprise customers have multiple lines of businesses (LOBs) and groups and teams within them. These customers need to balance governance, security, and compliance against the need for machine learning (ML) teams to quickly access their data science environments in a secure manner.

APIs 86

APIs Accountability Scripts Enterprise 86

AWS Machine Learning

AUGUST 29, 2022

On August 9, 2022, we announced the general availability of cross-account sharing of Amazon SageMaker Pipelines entities. 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. Solution overview.

Accountability 96

Accountability APIs Management Engineering 96

AWS Machine Learning

SEPTEMBER 21, 2022

Scaling ML effectively for the long term requires the professionalization of the industry and the democratization of ML literacy across the enterprise. Until recently, organizations hosting private AWS DeepRacer events had to create and assign AWS accounts to every event participant. The solution assumes access to an AWS account.

Accountability 75

Accountability APIs Enterprise Big data 75

AWS Machine Learning

OCTOBER 30, 2023

The Amazon Bedrock VPC endpoint powered by AWS PrivateLink allows you to establish a private connection between the VPC in your account and the Amazon Bedrock service account. Use the following template to create the infrastructure stack Bedrock-GenAI-Stack in your AWS account. With an M.Sc.

APIs 141

APIs Big data Accountability Enterprise 141

Method:CRM

FEBRUARY 27, 2019

Those poor accountants. In fact, today’s accountants are far more than just number-crunchers — they’re leaders, strategists, technologists, advisors and business specialists. The accounting industry: (p)art of the deal. Accountants speak the language of business. For instance, look at large accounting organizations.

Accountability 61

Accountability Consulting Consulting CRM 61

AWS Machine Learning

OCTOBER 20, 2023

Governing ML lifecycle at scale is a framework to help you build an ML platform with embedded security and governance controls based on industry best practices and enterprise standards. This framework is useful for the following customers: Large enterprise customers that have many LOBs or departments interested in using ML.

Government 126

Government Engineering Accountability Enterprise 126

AWS Machine Learning

AUGUST 2, 2023

We demonstrate CDE using simple examples and provide a step-by-step guide for you to experience CDE in an Amazon Kendra index in your own AWS account. An example of a customized image search is Enterprise Resource Planning (ERP). About the Authors Charalampos Grouzakis is a Data Scientist within AWS Professional Services.

Enterprise 87

Enterprise Healthcare APIs Big data 87

AWS Machine Learning

JUNE 12, 2024

Amazon Q can help you get fast, relevant answers to pressing questions, solve problems, generate content, and take actions using the data and expertise found in your company’s information repositories and enterprise systems. Prerequisites For this walkthrough, you should have the following prerequisites: An AWS account set up.

APIs 132

APIs Enterprise Accountability Feedback 132

AWS Machine Learning

AUGUST 31, 2023

As Artificial Intelligence (AI) and Machine Learning (ML) technologies have become mainstream, many enterprises have been successful in building critical business applications powered by ML models at scale in production. Depending on your governance requirements, Data Science & Dev accounts can be merged into a single AWS account.

Government 115

Government Accountability Enterprise Best practices 115

AWS Machine Learning

NOVEMBER 12, 2024

As we can see the data retrieval is more accurate. Additionally, the generated analysis has considered all of the volatility information in the dataset (1-year, 3-year, and 5-year) and accounted for present or missing data for volatility. In entered the Big Data space in 2013 and continues to explore that area.

Engineering 103

Engineering Real estate Government Big data 103

AWS Machine Learning

MARCH 15, 2024

Healthcare organizations must navigate strict compliance regulations, such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States, while implementing FL solutions. FedML Octopus is the industrial-grade platform of cross-silo FL for cross-organization and cross-account training.

Healthcare 124

Healthcare Big data Engineering Accountability 124

AWS Machine Learning

MARCH 8, 2023

The workflow steps are as follows: Set up a SageMaker notebook and an AWS Identity and Access Management (IAM) role with appropriate permissions to allow SageMaker to access Amazon Elastic Container Registry (Amazon ECR), Secrets Manager, and other services within your AWS account. Ingest the data in a table in your Snowflake account.

Scripts 128

Scripts Accountability Enterprise Management 128

AWS Machine Learning

OCTOBER 2, 2024

Large enterprises are building strategies to harness the power of generative AI across their organizations. This integration makes sure enterprises can take advantage of the full power of generative AI while adhering to best practices in operational excellence. What’s different about operating generative AI workloads and solutions?

Government 120

Government APIs Enterprise Best practices 120

TechSee

AUGUST 7, 2024

Today, CXA encompasses various technologies such as AI, machine learning, and big data analytics to provide personalized and efficient customer experiences. Over time, additional interactive solutions like IVR systems added the ability to automate basic queries like account balances or simple troubleshooting.

Customer Experience 124

Customer Experience Customer Service Interactive Voice Response Chatbots 124

Callminer

MARCH 9, 2020

” – Lisbi Abraham, Andela, as quoted in 15 Things Every Business Should Consider Before Buying Enterprise Software , Forbes Technology Council; Twitter: @ForbesTechCncl. ” – Ryan Murphy, 4 Steps to Successfully Buying Enterprise Software , Bullhorn; Twitter: @Bullhorn.

Best practices 182

Best practices Call Center Analytics Metrics 182

AWS Machine Learning

JUNE 19, 2024

Prerequisites You need an AWS account and an AWS Identity and Access Management (IAM) role and user with permissions to create and manage the necessary resources and components for this application. If you don’t have an AWS account, see How do I create and activate a new Amazon Web Services account?

APIs 99

APIs Engineering Accountability Big data 99

AWS Machine Learning

JULY 1, 2024

Additionally, Knowledge Bases for Amazon Bedrock empowers you to develop applications that harness the power of Retrieval Augmented Generation (RAG), an approach where retrieving relevant information from data sources enhances the model’s ability to generate contextually appropriate and informed responses.

Self service 123

Self service Chatbots Accountability Finance 123

AWS Machine Learning

AUGUST 8, 2024

They used the metadata layer (schema information) over their data lake consisting of views (tables) and models (relationships) from their data reporting tool, Looker , as the source of truth. Looker is an enterprise platform for BI and data applications that helps data analysts explore and share insights in real time.

Engineering 119

Engineering Accountability Feedback Construction 119

Callminer

SEPTEMBER 14, 2020

Learn more about how speech analytics can benefit your call center operation by downloading our white paper, 10 Ways Speech Analytics Empowers the Entire Enterprise. In its better cases, however, the analysis provides feedback on the source of the problem, such as a confusing eCommerce experience or unclear published instructions.

Call Center 182

Call Center Analytics First call resolution Metrics 182

AWS Machine Learning

JUNE 30, 2022

These traffic routing products generate their own source IP, whose IP range is not controlled by the enterprise customer. This makes it impossible for these enterprise customers to use the aws:sourceIp condition. Neelam Koshiya is an enterprise solution architect at AWS. In his spare time, he enjoys tennis and photography.

APIs 94

APIs Enterprise Big data Accountability 94

Totango

DECEMBER 1, 2021

An agile approach brings the full power of big data analytics to bear on customer success. This provides transparency and accountability and empowers a data-driven approach to customer success. 7 Steps to Bring Agile Innovation to Customer Success. Define How to Measure Success.

Government 103

Government Journey mapping Accountability Benchmark 103

TechSee

DECEMBER 5, 2017

We’ve compiled a short list of innovative customer service technologies developed by talented companies that are dedicated to helping enterprises improve their customer experience at scale and successfully compete in today’s ever-changing business environment. 1. Casengo. Customers appreciate: Faster, personalized customer support.

Contact Center 116

Contact Center Technology Self service Call Center 116

AWS Machine Learning

JULY 29, 2022

Reviewing the Account Balance chatbot. As an example, this demo deploys a bot to perform three automated tasks, or intents : Check Balance , Transfer Funds , and Open Account. For example, the Open Account intent includes four slots: First Name. Account Type. Complete the following steps: Log in to your AWS account.

Contact Center 120

Contact Center Interactive Voice Response Self service Accountability 120

AWS Machine Learning

NOVEMBER 9, 2023

Central model registry – Amazon SageMaker Model Registry is set up in a separate AWS account to track model versions generated across the dev and prod environments. Approve the model in SageMaker Model Registry in the central model registry account. Create a pull request to merge the code into the main branch of the GitHub repository.

Scripts 120

Scripts Accountability Best practices Engineering 120

AWS Machine Learning

AUGUST 21, 2024

Enterprises can use no-code ML solutions to streamline their operations and optimize their decision-making without extensive administrative overhead. An Amazon DataZone domain and an associated Amazon DataZone project configured in your AWS account. He supports enterprise customers migrate and modernize their workloads on AWS cloud.

Government 116

Government Banking Engineering Enterprise 116

AWS Machine Learning

AUGUST 21, 2023

In this post, we show how to use Lake Formation as a central data governance capability and Amazon EMR as a big data query engine to enable access for SageMaker Data Wrangler. Solution overview We demonstrate this solution with an end-to-end use case using a sample dataset, the TPC data model.

Engineering 96

Engineering Accountability Big data Sales 96

The Northridge Group

MARCH 21, 2022

Authored by Daniel Fenton , Director, Enterprise Accounts and Molly Clark , Senior Director, Operational Analytics. It’s every Contact Center manager’s worst nightmare, the customer who repeatedly calls back because their issue has not been resolved to their satisfaction.

Wireless 127

Wireless Contact Center Average Handle Time Analytics 127

ClearAction

MAY 2, 2016

Other marketing maturity models are holistic, it seems, yet the approach taken is stymied because of moving targets in emerging marketing practices, such as the advent of big data or digital marketing, which weren’t on the horizon of yesteryear. Accountability = maximize resources. Agility = mobilize the enterprise.

Marketing 62

Marketing Accountability Enterprise Metrics 62

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 88

Scripts APIs Enterprise Accountability 88

AWS Machine Learning

MAY 10, 2023

Prerequisites The following prerequisites are needed to implement this solution: An AWS account with permissions to create AWS Identity and Access Management (IAM) policies and roles. Through this capability, ML becomes more accessible to business teams so they can accelerate data-driven decision-making. Choose Next: Tags.

Accountability 92

Accountability Enterprise Big data Management 92

AWS Machine Learning

OCTOBER 29, 2024

A multi-account strategy is essential not only for improving governance but also for enhancing security and control over the resources that support your organization’s business. In this post, we dive into setting up observability in a multi-account environment with Amazon SageMaker.

Government 97

Government Metrics Accountability APIs 97

AWS Machine Learning

JUNE 17, 2024

Prerequisites To implement the solution provided in this post, you should have an AWS account , a SageMaker domain to access Amazon SageMaker Studio , and familiarity with SageMaker, Amazon S3, and PrestoDB. to set up PrestoDB on an Amazon Elastic Compute Cloud (Amazon EC2) instance in your account.

Scripts 119

Scripts Engineering Metrics Big data 119