AWS Partner Network (APN) Blog

Tag: Machine Learning

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Taming Machine Learning on AWS with MLOps: A Reference Architecture

Despite the investments and commitment from leadership, many organizations are yet to realize the full potential of artificial intelligence (AI) and machine learning (ML). How can data science and analytics teams tame complexity and live up to the expectations placed on them? MLOps provides some answers. Hear from AWS Premier Consulting Partner Reply how you can “glue” the various components of MLOps together to build an MLOps solution using AWS managed services.

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Servicing Customers on Social Messenger Channels via Amazon Connect Chat

Amazon Connect is an easy-to-use cloud contact center platform that helps enterprises provide superior customer service at a lower cost. TCS has built an adapter that can pick up the customer queries from social messenger channels and bring them into the web chat channel of Amazon Connect. This post describes the high-level architecture of the TCS solution, potential benefits, and ways to extend the solution to leverage other AWS services.

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AI-Driven Analytics on AWS Using Tableau and Amazon SageMaker

Organizations that have foresight into their business have a competitive advantage. Advanced analytics that enable foresight have historically required scarce resources to develop predictive models using techniques like machine learning. Traditionally, this is a difficult endeavor, but recent progress in ML automation has made democratization of ML a possibility. Learn about the value of augmenting analytics with ML through the Amazon SageMaker for Tableau Quick Start.

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Say Hello to 99 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in March

We are excited to highlight 99 AWS Partners that received new designations in March for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

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Machine Learning for Everyone with Amazon SageMaker Autopilot and Domo

Machine learning allows users to drive insights about their business, and the AutoML approach speeds up this process through the automation of ML pipeline steps. Learn how Domo created AutoML capabilities powered by Amazon SageMaker Autopilot, which is a fully managed AWS solution that automatically creates, trains, and tunes the best classification and regression ML models based on the data provided by a customer.

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How Radware CNP Uses Amazon Route 53 Query Logging for Threat Detection

AWS recently launched a new feature as part of its Amazon Route 53 service, called Route 53 Resolver Query Logging. This new service enables organizations to retrieve logs of their Domain Name System (DNS) queries originating from resources within their VPCs. Learn how these logs can be analyzed as part of the Radware Cloud Native Protector Service (CNP), which provides a range of fully managed, enterprise-grade cloud security solutions to protect applications running in public clouds.

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Say Hello

Say Hello to 74 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in February

We are excited to highlight 74 AWS Partners that received new designations in February for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

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How Indexima Uses Hyper Indexes and Machine Learning to Enable Instant Analytics on Amazon S3

Achieving “speed of thought” or instant analytics on large data sets is a key challenge for business intelligence platforms. Traditionally, data engineers would design and deliver an optimized, aggregated subset of the data to a data warehouse to drive the visualization. This can often take weeks of development and testing or incur significant infrastructure costs. Learn how Indexima uses machine learning and hyper indexes to automate this process and accelerate analytics by up to 1000x across a full data set on Amazon S3.

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AWS Machine Learning Competency Expands to Include Applied AI and MLOps Partners

Artificial intelligence (AI) and machine learning (ML) are maturing rapidly. According to Gartner, 75% of enterprises will shift from piloting to operationalizing AI by 2024. That’s why we are expanding the AWS Machine Learning Competency to help customers identify and engage qualified AWS Partners that have deep technical expertise and proven customer success in the areas of Applied AI and Machine Learning Operations (MLOps).

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Integrating and Analyzing ESG Data on AWS Using CSRHub and Amazon QuickSight

Environmental, social, and governance (ESG) factors are increasingly important for financial institutions as they look to assess portfolio risk, meet investment mandates, align with customer values, and report on the sustainability of their portfolios. Working closely with CSRHub, a data provider on AWS Data Exchange, learn how AWS has produced a demonstration to illustrate how customers can analyze company-level ESG scoring data with Amazon QuickSight.

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