Remove Accountability Remove Analytics Remove Government
article thumbnail

Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM).

article thumbnail

Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator

AWS Machine Learning

Data and model management provide a central capability that governs ML artifacts throughout their lifecycle. Integrations with CI/CD workflows and data versioning promote MLOps best practices such as governance and monitoring for iterative development and data versioning. It enables auditability, traceability, and compliance.

Analytics 115
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Build and train ML models using a data mesh architecture on AWS: Part 1

AWS Machine Learning

Large enterprises sometimes set up a center of excellence (CoE) to tackle the needs of different lines of business (LoBs) with innovative analytics and ML projects. To generate high-quality and performant ML models at scale, they need to do the following: Provide an easy way to access relevant data to their analytics and ML CoE.

article thumbnail

Building a Great CX Team

CX Accelerator

Customer Insights/Measurement/Analytics. CUSTOMER INSIGHTS/MEASUREMENT/ANALYTICS Understanding your customers is at the heart of customer experience. Once customer data has been gathered, an analytics function is required to derive meaningful, actionable insight from it. The 8 skills required by any CX team are: Strategy.

article thumbnail

6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

article thumbnail

The Best Omnichannel Solution for Your Government Agency

Avaya

Budgetary constraints have caused too many government agencies to rely on legacy IT systems that are more than a decade old. Today, digital interactions account for over 35% of all interactions and, at the current rate, will overtake voice in two years. Citizens have different levels of tech savviness and social aptitude.

article thumbnail

Building the Foundation for an AI-Ready Organization

ConvergeOne

However, the reason that so many AI projects fail is not due to the AI processes themselves, but rather the lack of strong data governance, collaboration, and problem definition. The wheels are like a data governance strategy that provides processes, security, accessibility, and accountability.