AWS Partner Network (APN) Blog

Tag: Artificial Intelligence

Global-Partner-Summit-2021-2

New AWS Partner Program Launches and Updates Announced at re:Invent 2021

Thank you for joining us in Las Vegas for AWS re:Invent 2021. We hope you are enjoying all of the educational content and big announcements. If you missed anything from our Global Partner Summit or just want to recap, we have rounded up the most relevant launches, program updates, and educational content available for the AWS Partner community. Reminder that virtual options for re:Invent breakout sessions will be available December 6-10.

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IDP-Public-Sector-reInvent-2021-2

Enabling Digital Automation in Intelligent Document Processing (IDP) for Public Sector Partners and Customers Using AWS AI

Learn about the AWS AI services stack for government agencies and partners to develop intelligent automation solutions to extract information from digitalized paper documents. Intelligent Document Processing (IDP) is a solution that enables extraction and processing of specific data elements from documents using AI and machine learning techniques. AWS services that add AI/ML intelligence to IDP solutions include Amazon Textract, Amazon Comprehend, Amazon Augmented AI, and Amazon Kendra.

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AIDA-Partners-reInvent-Launch-1

AI for Data Analytics (AIDA) Partner Solutions Will Empower Business Experts with Predictive Analytics

We are excited to introduce AI for data analytics (AIDA) partner solutions which embed predictive analytics into mainstream analytics workspaces. These AI/ML solutions from AWS Partners have interfaces and integrations that help bring predictive analytics into the normal workflow of business experts. AWS AIDA includes partner solutions from Amplitude, Anaplan, Causality Link, Domo, Exasol, InterWorks, Pegasystems, Provectus, Qlik, Snowflake, Tableau, TIBCO, and Workato.

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Deloitte-AWS-Partners

Managing the Evolution of an Amazon Redshift Data Warehouse Using a Declarative Deployment Pipeline

Enterprise data warehouses are complex and consist of database objects that need to be modified to reflect the changing needs of business, data analytics, and machine learning teams. In this post, learn about an approach to managing the evolution of enterprise-scale data warehouses based on the experience of Deloitte’s Data and AI global practice teams. The declarative tool developed by Deloitte that can automatically generate DDL statements to align Amazon Redshift’s state to an approved baseline configuration.

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Leveraging Amazon Rekognition and Amazon Comprehend on Dataiku Data Science Platform

Dataiku orchestrates the entire machine learning lifecycle and makes it accessible to data scientists and analysts alike. With deep integration with AWS AI tools, Dataiku enables users to augment their analytics workflow with pretrained NLP and computer vision models. Learn how you can use Amazon Comprehend and Amazon Rekognition plugins on Dataiku Data Science Studio (DSS) to build a simple workflow of NLP and computer vision use cases, respectively.

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Montoux-AWS-Partners

Montoux’s AI-Driven Decision Science Platform Transforms Actuarial Model Replication

Montoux’s next-generation decision science platform for insurers uniquely combines actuarial and data science in its software, providing a modern, flexible, and sophisticated alternative to legacy actuarial software. Learn how the AI-driven model replication module is specifically developed to support an insurer’s transition to cloud and reduces the time, cost, and effort required to migrate to a new platform.

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DataRobot-AWS-Partners

Optimize the Cost of Running DataRobot Models by Deploying and Monitoring on AWS Serverless

Operationalizing machine learning models can be a challenge due to lack of established ML architecture and its integration with the existing landscape. DataRobot integrates with AWS and provides the flexibility for a model trained in DataRobot to be deployed on AWS services with centralized model governance, management, and monitoring. Learn how the DataRobot AutoML platform orchestrates the complete model development and training lifecycle.

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Amorph Systems-AWS-Partners

Advanced Industrial Connectivity with AWS and Amorph’s SMARTUNIFIER

Industrial data exists in different components and systems, in various formats, and with separate access protocols. To harness this data and benefit from the synergies of system-wide interoperability, businesses must effectively digitize shop floor data. Learn how Amorph Systems’ SMARTUNIFIER software complements AWS services to deliver leading-edge connectivity for Industrial Internet of Things (IIoT). Amorph Systems is a leading developer of software technologies and products for industrial connectivity.

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Unispeech-AWS-Partners

Adding AI/ML Services to Existing On-Premises and Cloud-Based Contact Centers Through the MRCP Network Protocol

Some contact center platforms don’t offer native integrations with AWS AI/ML services. Consequently, customers must learn to live with a “just enough” contact center until their license agreements expire, look for other options beyond AWS, or wait for the platform provider to build the integrations in future releases. Learn how Universal Speech Solutions (also known as Unispeech) created AWS AI/ML plugins that enable the non-native integrations.

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Pegasystems-AWS-Partners

Why Do Aftermarket Capabilities Often Sit in the Backseat of Digital Transformation Priorities?

Smart manufacturing and aftermarket services both require a new approach to connected device maintenance, recall, and warranty value chains. To really succeed, manufacturers need to automate the end-to-end processes connecting devices and users to the extended value chain. Learn how the seamless combination of Pegasystem’s low-code intelligent automation and AWS IoT can provide manufacturers with the most compelling digital transformation platform.

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