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Explore AWS AI services
AWS pre-trained AI Services provide ready-made intelligence for your applications and workflows. AI Services easily integrate with your applications to address common use cases such as personalized recommendations, modernizing your contact center, improving safety and security, and increasing customer engagement. Because we use the same deep learning technology that powers Amazon.com and our ML Services, you get quality and accuracy from continuously-learning APIs. And best of all, AI Services on AWS don't require machine learning experience.
NHS Business Services Authority Case Study (1:46)
The NHS BSA uses AWS to automate portions of their healthcare contact call center to answer common questions more quickly and reduce calls to their representatives by more than 40%.
Using AI to Gather Customer Insights (3:44)
VideoPeel is transforming the traditional consumer research by automating the analysis of user generated content to produce dynamic consumer personas and actionable insights.
“GE Appliances processes millions of minutes of customer calls a month. Using Amazon Connect, Amazon Lex, and Amazon Polly, we can automate simple tasks such as looking up product information, taking down customer details, and answering common questions before an agent answers. This in turn helps us give back time, the most precious commodity, to our consumers. We added Amazon Transcribe to create call transcripts for automated analysis to continuously improve the process.”
Byron Guernsey – Chief Strategist, GE Appliances
"The customer is at the heart of everything we do at Domino's and we are working relentlessly to improve and enhance their experience. Using Amazon Personalize, we are able to achieve personalization at scale across our entire customer base, which was previously impossible. Amazon Personalize enables us to apply context about individual customers and their circumstances, and deliver customized communications such as special deals and offers through our digital channels."
Allan Collins – Group Chief Marketing Officer, Domino's Pizza Enterprises
“We have been using Amazon Forecast to predict demand for over 50,000 different products, using Amazon Forecast’s state-of-the-art deep learning algorithms that we can use right out of the box. Amazon Forecast takes care of all the heavy lifting of setting up pipelines, re-training schedules, and re-generating forecasts, so we can experiment with hundreds of models very easily.”
Fernando Croceri – Head of Analytics, Mercado Libre
“At Cox Automotive, we are looking to transform the way the world buys, sells, owns, and uses cars. To further modernize our automotive solutions, we will be leveraging Amazon Textract to accelerate how quickly cars can be transacted. With Amazon Textract, we can automatically capture and validate data from documents and forms, such as loan applications or vehicle titles, so decisions can be made more quickly. This will reduce customer effort and further streamline the process for everyone involved from the manufacturer to the buyer.”
Bryan Landerman – Chief Technology Officer, Cox Automotive
“Identity verification and validation have been a major challenge in emerging markets. The ability to properly identify users is a key hindrance in building credit for billions of people in emerging markets. Using Amazon Rekognition for identity verification on our mobile application has reduced verification errors significantly and given us the ability to scale. We can now detect and verify an individual’s identity in real time without any human intervention, thereby allowing faster access to our products. We tried various well-advertised solutions, but none of the popular alternatives could accurately map out various skin tones. Amazon Rekognition helped us effectively recognize faces of our customers in our markets. It also helped us with KYC in discovering overlapping profiles and duplicate datasets."
Wale Akanbi – CTO & Co-Founder, Aella Credit
Getting Started with AWS ML
AWS offers the broadest and deepest set of machine learning services and supporting cloud infrastructure, putting machine learning in the hands of every developer, data scientist and expert practitioner.
Learn ML with AWS
Dive deep into the same machine learning (ML) curriculum used to train Amazon’s developers and data scientists. We offer 30+ digital ML courses totaling 45+ hours, plus hands-on labs and documentation, originally developed for Amazon's internal use.