AWS Partner Network (APN) Blog

Tag: Amazon Rekognition

Mendix and AWS Drive Development of Cold Chain Logistics with Environmental and Economic Goals

To create more sustainable solutions that yield less food loss and waste, Mendix, a leading low-code application development platform owned by Siemens, and AWS worked together to help suppliers develop connected and transparent logistics. This post explains how organizations can leverage the Mendix platform, AWS Internet of Things (IoT), and artificial intelligence (AI) and machine learning (ML) services to manage logistics of temperature-controlled products.

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Extend the Value of File Data in Architecture, Engineering, and Construction Workflows with Nasuni

In construction, new methods of capturing site information, such as laser scanning, photogrammetry, drone photography, and continuous video monitoring have presented challenges for file storage, analysis, and archiving. Learn how the Nasuni Analytics Connector can help architecture, engineering, and construction customers gain business insight from file data, while using many of the network-attached storage they’re familiar with.

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Reimagining Digital Transformation with Capgemini’s Digital Cloud Platform for Restaurants on AWS

The restaurant industry is experiencing an unprecedented transformational change. Elevated expectations for cleanliness, health, and safety are accelerating the adoption of contactless technologies, curbside pickup options, and mobile payments. Learn how Capgemini’s Digital Cloud Platform (DCP) for Restaurants empowers the industry to reimagine digital transformation by delivering compelling customer interaction and streamlined operations while reducing costs and improving efficiency.

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How KNIME Users Can Build Intelligent Workflows By Accessing AWS Services Through Boto3 SDK Integration

To quickly build intelligent data-driven workflows, organizations need business analysts to work with data scientists and development teams to unlock useful insights from unstructured or semi-structured data. Learn how KNIME’s end-to-end data science product portfolio helps bridge the gap between the ideation and productionalization steps of data science projects, while also assisting in the communication of key data science aspects between teams.

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Increase Operational Efficiency and Drive Faster Business Outcomes with UiPath Robots on AWS

Organizations are pursuing agility by developing automation for business processes using virtual robots, but they need technology that goes beyond simply helping automate a single process. UiPath offers an end-to-end platform for automation with the enterprise-ready cloud infrastructure, AI services, and intelligent automation solutions from AWS that provide the foundation to scale your enterprise automation. UiPath is a leader in the “automation first” era that is enabling robots to learn new skills through AI/ML.

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Solving the Challenge of Customer Verification and Security with Digital Onboarding

Customer onboarding remains a challenging and time-consuming process for most banks. Both digital and traditional processes are often overly complex, resulting in lower conversion rates and higher cost of acquisition. To overcome these challenges, numerous financial institutions have started customer onboarding online. In this post, walk through the use case of one of the largest financial institutes of Europe for whom Infostretch provided a substantial breakthrough to onboard the customers digitally.

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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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How Deloitte’s Image Recognition Framework Leverages AWS Artificial Intelligence and Machine Learning

With exponential increases in the amount of visual data such as images and videos being generated, image analytics is fast becoming a major business driver for many organizations. The Deloitte Image Recognition Framework is a cloud-based image recognition platform leveraging machine learning to automatically distinguish between two images. It helps customers deploy image recognition and analytics solutions and customize it per their business requirements.

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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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Building a Single Source of Truth with a Data Hub from Semarchy

Organizations need a comprehensive data management solution that includes data quality, cleansing, de-duplication, and curation capabilities. After consolidating trusted golden records, they need to enforce governance requirements and track changes over time. Semarchy’s xDM platform is an innovation in multi-vector Main Data Management (MDM) that leverages smart algorithms and material design to simplify data stewardship, governance, and integration.

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