AWS Partner Network (APN) Blog

Category: Artificial Intelligence

Lumiq-AWS-Partners

Automating Customer Onboarding with Lumiq’s Drishti Document AI and Amazon Textract

Innovations in AI technologies are yielding novel approaches to automation that fit the Indian market. Lumiq is spearheading such efforts and leveraging deep domain knowledge of the industry and machine learning to help create solutions for the future, today. Learn how Lumiq’s Drishti Document AI, an intelligent document parsing solution built on Amazon Textract, helps optimize and accelerate customer onboarding journeys.

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Accelerating Machine Learning Development with Data Science as a Service from Change Healthcare

There is broad acceptance that AI and ML will help improve health outcomes for patients, and make healthcare more affordable. Data Science as a Service (DSaaS) from Change Healthcare is a secure, managed, healthcare data science platform that customers can leverage the embedded datasets and load their own datasets to be linked to deliver transformative and compliant insights. Learn how Change Healthcare built DSaaS to address the needs of practitioners developing AI/ML algorithms.

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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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AWS Startup Showcase Highlights Innovators in AI, Security, and Life Sciences

From pre-seed to IPO, the world’s most innovative startups build on AWS. This month, we’re excited to show our support through the next AWS Startup Showcase, a virtual AWS Loft-style event we’re hosting in partnership with theCUBE. The event is geared towards an audience of business decision makers, developers, and IT professionals. It features some of the most innovative companies from the APN Global Startup Program showcasing their latest offerings and innovations in AI, security, and life sciences.

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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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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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Indexima-AWS-Partners

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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SafetyVisor: Protecting Against COVID-19 with Computer Vision and AWS

To help safeguard workplaces from the pandemic, TensorIoT developed SafetyVisor, a suite of machine learning tools that can operate independently or in tandem with existing business infrastructure to monitor safety gear usage (like masks) and social distancing. SafetyVisor’s computer vision models are designed to work with your existing cameras, and the entire solution is built utilizing a flexible architecture to facilitate easy deployment and use.

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