Customer use cases

Using AWS to reinvent customer care – The New York Times (8:18)

The New York Times - Using AWS to reinvent customer care

Over the past decade, The New York Times has shifted from a traditional ad-based print business model to a subscriber-first digital model, becoming the most successful digital subscription news organization in the world. See how The New York Times uses Contact Lens for Amazon Connect (which is built on Amazon Transcribe and Amazon Comprehend) to help ensure its Customer Care team meets the needs of millions of new digital subscribers.

The Future Of Work: How Slack Is Reinventing Hybrid Collaboration With Machine Learning (1:34)

Slack - Reinventing Hybrid Collaboration with Machine Learning

Seeing an opportunity to reinvent AI-driven ways to connect communities online, Slack partnered with AWS to recreate in-person collaboration touchpoints on the cloud. Powered by AWS’s powerful data and ML services (Amazon Transcribe and Amazon Chime SDK), Slack engineers have developed tools that allow us to hop in and out of standups, collaborate in conference rooms, and even casually chat with coworkers face-to-face.

Zillow: Near real-time natural language processing (NLP) for customer interactions (4:52)

Zillow - Extracting insights from customer conversations

Helping home shoppers connect to the services they need in time can make the difference if they are successful in securing a property or not. In this episode, we explore how Zillow built a natural language processing solution using Amazon Transcribe and the Elastic Container Service to quickly scale their machine learning engine to match customer requests to agents.

Helping members manage their health using AWS Machine Learning – Livongo (2:03)

Livongo - Helping members manage their health 

There are about 150 million people living with a chronic condition in the U.S. Chronic conditions account for roughly 90% of the current spend in the U.S. Healthcare system. Learn how Livongo, part of Teladoc Health — a global leader in virtual care, uses Amazon Transcribe and AWS Machine Learning to help Americans manage their chronic conditions from a mobile app.

Amazon Transcribe customers

T-Mobile US, Inc. provides a Voicemail-to-Text service to its customers, which allows customers to quickly read through their voicemails and respond to and manage messages in any order without having to dial into their voicemailbox.

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T-Mobile US, Inc. uses Amazon Transcribe and Amazon Translate to provide a Voicemail to Text service, allowing customers to receive voicemail transcriptions in their preferred language. The service uses Amazon Transcribe to convert voicemails to text and Amazon Translate to translate the transcriptions, catering to a diverse customer base that speaks various languages. This innovative use of AI has enhanced T-Mobile's voicemail service, breaking language barriers, and making voicemail more accessible to people who speak different languages.

Remote Legal is a court-reporting firm that seeks to modernize legal proceedings. Its technology solutions help people perform depositions, mediations, and arbitrations remotely, avoiding drawn-out in-person court proceedings.

Read the case study »

Facing the challenge of persistent transcription errors in our cloud service, Remote Legal turned to AWS for a solution. The migration to Amazon Transcribe was completed in a week, virtually eliminating transcription errors. The results have been remarkable - achieving a 98% success rate. The power and reliability of AWS has enabled Remote Legal to offer a frictionless experience to their customers.

Salesforce is one of the world’s leading customer relationship management companies. It provides centralized management of the customer experience for the marketing, sales, commerce, service, and IT teams of more than 150,000 companies.

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Salesforce wanted to deliver more efficient care remotely at scale so physicians could improve health outcomes. Salesforce built Virtual Care by using AWS AI, voice, and video services within Salesforce Health Cloud. To improve accessibility, Virtual Care uses Amazon Chime SDK to send live audio streams to Amazon Transcribe, which automatically converts speech to text. Salesforce Health Cloud customers can use the live transcription capability to display subtitles, create meeting transcripts, or analyze content.

Carbyne is a software company that develops cloud-based, mission-critical contact center solutions for emergency call responders.

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“AI-powered Carbyne Live Audio Translation is directly aimed at helping improve emergency response for the 68 million Americans who speak a language other than English at home, in addition to the up to 79 million foreign visitors to the country annually. By leveraging Amazon Transcribe’s new multilingual foundation model powered ASR, Carbyne will be even better equipped to democratize life-saving emergency services, because Every. Person. Counts.”

Alex Dizengof, Co-Founder and CTO of Carbyne.

Principal Financial Group® is dedicated to improving the wealth and well-being of people and businesses around the world.

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“With AWS Post Call analytics solution, Principal can currently conduct large-scale historical analytics to understand where customer experiences can be improved, generate actionable insights, and prioritize where to act. Now, we are adding generative AI using Amazon Bedrock to help our business users make data-driven decisions with higher speed and accuracy, while reducing costs. We look forward to exploring the post call summarization feature in Amazon Transcribe Call Analytics in order to enable our agents to focus their time and resources engaging with customers, rather than manual after contact work.”

Miguel Sanchez Urresty, Director of Data & Analytics at Principal Financial Group

State Auto Insurance in an insurance company with a goal to treat customers better, offer those customers flexibility, and, years later, to use technology to make agents’ jobs easier.

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State Auto was able to derive insights from millions of calls made to CSRs by using Amazon Transcribe, which uses automatic speech recognition to convert speech to text quickly and accurately.

"Transcription is step one for anticipating the needs of customers who call us, and we build on top of it. Because AWS services do their job so well out of the box, we have the flexibility to be creative and build things on top of them.”

Uthra Ramanujam, Vice President of Strategic Technology Research - State Automobile Mutual Insurance Company

Wix is a leading cloud-based development platform for building fully personalized, high-quality websites.

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“Amazon Transcribe is a highly accurate, easy to use speech to text service that contains many features for customization and the call center use case. With Amazon Transcribe, we have been able to build a sentiment analysis solution that has expanded our customer sentiment visibility from 12% to 100%.”

Assaf Elovic, Head of R&D at Wix

Deliveroo has built a successful food delivery business by meeting customer needs quickly.

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Deliveroo also uses ML and artificial intelligence (AI) tools powered by data to provide a better experience in its contact center. Amazon Connect, an omnichannel cloud contact center, integrates with Amazon Transcribe to automatically convert speech to text. That text can then be analyzed using Contact Lens for Amazon Connect to better understand the reasons customers are calling and any snags in the Deliveroo care experience, allowing the company to improve its practices.

Bongo is a video assessment solution that enables experiential learning and soft skill development at scale.

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“Amazon Transcribe enables Bongo’s Auto Analysis™ to quickly and accurately transcribe learner videos and provide feedback on the video that helps a learner employ a ‘practice, reflect, improve’ loop. This enables learners to increase content comprehension, retention, and learning outcomes, and reduces instructor assessment time since they are viewing a better work product. Teachers can focus on providing insightful feedback without spending time on the metrics the Auto Analysis™ produces automatically.”

Josh Kamrath, CEO at Bongo

Slack is the collaboration hub that brings the right people, information, and tools together to get work done.

Watch the video testimonial »

Slack Huddles connect users to each other and uses Amazon Transcribe and Chime SDK to offer live meeting subtitles, so no details are lost. Users can also send Slack Clips, short audio and video messages which is transcribed into searchable text by Amazon Transcribe.

“The future of enterprise software will be driven by the combination of cloud services and workstream collaboration tools. Strategically partnering with AWS allows both companies to scale to meet demand and deliver enterprise-grade offerings to our customers.”

Steward Butterfield, CEO at Slack

BYJU is a trusted learning partner of 150+ million students, they bring the future of education to the present through technology-enabled, personalized and engaging learning journeys.

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BYJU automates manual tasks using Amazon Transcribe, which makes it easy for developers to add speech-to-text capabilities to their applications. BYJU’S uses Amazon Transcribe for its meetings and to record its customer service calls. Previously, transcribing a call would take 2–3 hours. Now, the company is able to transcribe a call within a few minutes. Moreover, it can use the transcripts to analyze customer feedback and improve its applications.

DeNA, one of Japan's leading mobile gaming and internet services companies with major business areas in mobile games, sports, live streaming, healthcare, and automotive, now offers a live audio distribution app called Voice Pococha in January 2022.

"When evaluating a speech-to-text service, we focused on finding a service that could create a safe community for our users by automatically redacting banned words. These banned words are typically slang and not recognized by standard speech-to-text services. With Amazon Transcribe and its custom vocabulary feature, banned terminology can be identified and redacted. Looking forward, our team is excited to grow the Voice Pococha community with the support of services like Amazon Transcribe and the Amazon Web Services (AWS) team."

Takuto Noguchi, Product Owner, and Takehiro Nakamori (Tech Lead), Live Streaming Business Unit, Strategy Office, DeNA

The FORMULA 1 (F1) live steaming service, F1 TV, has live automated closed captions in three different languages: English, Spanish, and French.

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"Amazon Transcribe is a powerful tool; it performs transcription with incredibly high accuracy, which grows every day. F1’s use-case was extremely challenging; the combination of incredibly high speed and dynamic commentary from multiple contributors, a global vocabulary and niche technical terminology. Working in close collaboration with AWS, we built and trained a scalable subtitling solution with accuracy and performance that matches human Closed Captioners."

James Bradshaw, Head of Digital Technology - F1

Talkspace increases access to mental healthcare using machine learning on AWS.

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"AWS is able to assist us in focusing on the things that really count: our core mission, our core product, and our core competency."

Gil Margolin, Chief Technology Officer - Talkspace

Intuit is a provider of innovative financial management solutions, including TurboTax and QuickBooks, to approximately 50 million customers worldwide.

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With more than 275 million minutes of customer interactions each year, Intuit uses Contact Lens for Amazon Connect, which provides contact center analytics powered by machine learning (ML), to provide accurate call transcriptions, redaction of sensitive data, and automated call metrics to determine the effectiveness of its contact center. Contact Lens builds on AWS ML services, using Amazon Transcribe, a service that automatically converts speech to text, to generate call transcripts and Amazon Comprehend, a natural language processing (NLP) service, to extract sentiment.

Octopus Energy

Epiq, a global technology-enabled services leader to the legal industry and corporations.

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“On AWS, Epiq not only built a cost-effective solution that enabled it to automate, accelerate, and increase the accuracy of legal transcription, but it also revolutionized the way transcription is completed in the industry. In a few weeks, Epiq delivered an AWS-powered transcription solution that is 5% more accurate than other third-party transcription engines and reduces costs by a factor of 15x.”

Don Young, Vice President of Engineering - Epiq

Octopus Energy

Octopus Energy is a UK-based retail electricity and gas supplier specializing in sustainable energy.

Watch the video testimonial »

"In our mission to provide customers with fair and transparent pricing along with excellent service, we analyze millions of minutes of contact center calls each month. We’ve leveraged our own domain-specific data to train custom speech recognition models using Amazon Transcribe. These custom models provide enhanced transcription accuracy and enable us to more efficiently and intelligently identify, understand, and serve our customers’ energy needs."

Dr. Javier Asensio-Cubero, Data Platform Lead - Octopus Energy

Audioburst is a technology provider that is transforming the discovery, distribution, and personalization of talk audio.

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“Every day we analyze 225,000 minutes of live talk radio to create thousands of short, topical segments of information for playlists and search. We chose Amazon Transcribe because it is a remarkable speech recognition engine that helps us transcribe live audio content for our downstream content production work streams. Transcribe provides a robust system that can simultaneously convert a hundred audio streams into text for a reasonable cost. With this high-quality output text, we are then able to quickly process live talk radio episodes into consumable segments that provide next-gen listening experiences and drive higher engagement.”

Gal Klein, Co-Founder and CTO – Audioburst

At GE Appliances, we make life better by designing and building the world's best appliances. From design to production to service, our goal is to help people improve their lives at home.

“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

Northwestern Mutual is a leading U.S. financial services firm specializing in comprehensive financial planning through the integration of both insurance and investments.

"At Northwestern Mutual, we wanted to reduce the amount of time our financial representatives spent logging compliant case notes for each of their clients. We originally created an app with a voice-to-text feature that used a phone’s native capabilities, but only 12 percent of financial representatives used it because it took longer to correct the transcribed notes than to type it themselves. To best solve the low adoption problem and provide far greater accuracy, we needed to think of a new approach. Amazon Transcribe stood out as the most accurate platform with the fewest transcription issues – for our use case, we estimated the accuracy to be around 95 percent, whereas other services we looked at were in the 70-percent range."

Ryan Furness, Lead Engineer - Northwestern Mutual


The National Association for Stock Car Auto Racing (NASCAR) is an American auto racing sanctioning and operating company that is best known for stock car racing.

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"We selected Amazon Transcribe to power the captioning of NASCAR’s VOD content on our multi-site website spanning 195 countries and 29 languages. With Amazon Transcribe, we were able to build an automated system that is almost entirely hands off for our team while giving us the ability to control how to customize the speech recognition for our needs. Since implementing Amazon Transcribe, we automatically add captions to 99% of our VOD content and spend 97% less than what we had originally estimated.”

Patrick Carroll, Senior Director of Development – NASCAR

Echo360 provides leading video platform technology that helps instructors and students record, stream, manage and share interactive video to improve student engagement.

Read Echo360 case study »

“The Echo360 platform fosters active and engaging video-based learning that serves today’s student. We’re excited about Amazon Transcribe because it offers our university partners high-quality transcripts for each video, enabling more powerful search, lower cost captioning of educational video content, and enhanced note-taking, making learning assets more valuable and accessible to students.”

Fred Singer, CEO - Echo360

VidMob is a leading video creation platform with a network of professional creatives worldwide who produce the full spectrum of video content for brands and advertisers.

“Amazon Comprehend and Amazon Transcribe allow VidMob to build high-quality machine learning text analysis into our Agile Creative Suite, enabling us to help brand clients understand content performance in ways never before possible. We are able to transcribe text from video content, and quickly analyze it using Comprehend, allowing us to surface actionable insights to both our creator community and our clients, giving them a strategic edge in the market.”

Alex Collmer, CEO - VidMob

Isentia is a leading media-intelligence provider for the Asia-Pacific region.

“At Isentia, we enable customers to analyze and monitor the media coverage for their brands. We create more than 13K summaries per day from radio and TV content. With Amazon Transcribe, we can transcribe all the audio/video content that we monitor and analyze the text data with Amazon Comprehend. Features like timestamps and punctuation make it very easy for us to search through the data and drill down and present key insights for our customers to review."

Andrea Walsh, CIO - Isentia

VideoPeel is a video platform that enables brands to collect, manage, and publish consumer testimonials.

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"We're transforming the traditional ways of consumer research by introducing video and automating the analysis of this video to result in actionable, dynamic consumer personas. Integrating with AI and machine learning technologies from Amazon, such as Amazon Transcribe, Amazon comprehend, and Amazon Rekognition, we're able to take these videos, analyze them, and create profiles of each individual."

Patrick Tedjamulia, Co-founder & CEO - VideoPeel

Replica, an AI startup based in Brisbane, Australia, is developing a platform that allows content creators such as game developers, video creators, and podcasters to create and control synthetic voices with style, expressiveness, and emotion. 

"Replica imagines a future where a user’s own voice could be the voice of the main character in their game, podcast, advertisement, or film. AWS is the engine behind Replica’s cutting-edge generative voice technology. We’re using AWS all the way from R&D to production, leveraging EC2, EFS, SQS, and CloudWatch for core compute support, AMIs as we scale, and Amazon Transcribe to go from audio to text files. Our tech stack enables game developers to place players at the center of fully immersive experiences and create highly personalized stories; podcasters can supercharge their content; and pioneering filmmakers can spearhead a new wave of interactive movies. With AWS is our primary AI/ML solution, we’re excited to be at the forefront of the next generation of content creation."

Keni Mardira, Replica Lead Engineer - Replica


Livongo (now part of Teledoc Health) is a platform that includes a mobile app that works with smart devices such as connected blood glucose monitors to help people manage medical issues.

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“Using Amazon Transcribe, Livongo also derives intelligence from thousands of conversations, both online and by phone, between members and Livongo’s network of health coaches. “We can digitize those, then use natural language processing to really understand what’s happening in our coaching sessions: topics people talk about at an aggregate level and also at an individual level. It helps us learn and look for patterns at scale, then take that information and personalize the rest of a member’s care.”

Anmol Madan, Chief Data Scientist - Livongo

Quantum Health

Quantum Health is an award-winning consumer healthcare navigation company that enables employers to achieve industry-leading satisfaction rates and independently validated claim savings.

Quantum Health is the industry leading consumer healthcare navigation and care coordination company that delivers an unparalleled consumer experience for members, along with high satisfaction rates and validated claims savings for employers. Quantum Health’s proprietary Real-Time Intercept™ model identifies opportunities for interventions between members and Quantum Health’s specially trained Care Coordinators long before healthcare claims start to accrue, driving cost efficiency and improved engagement. In collaborating with Quantiphi, an Amazon Web Service Contact Center Intelligence Partner, we were able to build a proof of concept using the Amazon Chime Voice Connector and Amazon Transcribe, which gave us the ability to deeply understand and accelerate our member engagement in just 5 weeks. This drove more robust real-time insights, which greatly enhanced the quality of our Care Coordinator and member interactions.


Maximus is looking for new ways to innovate and improve the Citizen Journey and contact center experience.

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“With SuccessKPI, we were able to add AWS Contact Center Intelligence into our Genesys Cloud environment in a matter of hours and deliver a 360-degree view of the citizen experience. This program allowed us to deliver increased capacity, automated quality review, and agent compliance and performance improvements for government agencies..”

Tom Romeo, General Manager - Maximus Federal

Amazon Transcribe Medical customers

ZS Associates is a global management consulting and technology firm.

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““We’ve taken advantage of the advances in AI, machine learning (ML), and cloud computing to reimagine qualitative market research and developed a scalable solution that is equipped to perform speech-to-text conversion and natural language processing (NLP) on the audio recordings of interviewed subjects. Using Amazon Transcribe, Amazon Comprehend Medical, and custom NLP for text summarization and graph visualization, we have created a scalable, automated solution that helps us provide insights in a faster, better, and more efficient way.”

Satish Jha, Intelligent Automation Manager - ZS Associates

Cerner Corporation is an American supplier of health information technology services, devices, and hardware.

“Extreme accuracy in clinical documentation is critical to workflows and overall caregiver satisfaction. By leveraging Amazon Transcribe Medical's transcription API, Cerner is in initial development of a digital voice scribe that automatically listens to clinician-patient interactions and unobtrusively captures the dialogue in text form. From there, our solution will intelligently translate the concepts for entry into the codified component in the Cerner EHR system.”

Jacob Geers, Solutions Strategist - Cerner Corporation

Amgen, a multinational biopharmaceutical company, is leading the charge to redefine drug safety monitoring. 

“In pharmacovigilance, we want to accurately review recorded calls from patients or Health Care Providers, in order to identify any reported potential side effects associated with medicinal products. Amazon Transcribe Medical produces text transcripts from recorded calls that allow us to extract meaningful insights about medicines and any reported side effects. In this way, we can quickly detect, collect, assess, report, and monitor adverse effects to the benefit of patients globally."

George Seegan, Sr. Data Scientist - Amgen


OmniMind offers a suite of IoT solutions enabling large-scale commercial and industrial complexes to optimize workflows and pricing by gathering analyzing real-time operational data.

“At OmniMind Technologies, our charter is to help ‘sensify’ the world. In healthcare, making facilities smarter and more intuitive is part of our mission to help providers deliver high quality patient care. We are counting on Amazon Transcribe Medical to enable our devices’ ability to capture medical conversations in real-time and also identify speakers, so that we can feed the accurate transcripts into downstream analytics applications for a multitude of business purposes.”

Rachel Nguyen, Head of Product in the IoT Health Group – OmniMind

Eva Life Science

Eva Life Science is a provider of innovative healthcare applications.

“Eva Life Science specializes in building healthcare applications. With more and more voice-enabled apps, we needed a reliable medical speech-to-text building block for the long term. Amazon Transcribe Medical provides us state-of-the-art medical speech recognition and speaker identification in the form of consumable APIs. It makes integrating into our builds easy and scalable.”

Tamara Keith-Martin, Operations Head – Eva Life Science

SoundLines – part of the HealthChannels family of companies – connects intuitive AI technology with clinical expertise. Data is harnessed to provide more personalized care, while improving efficiencies for providers and Care Team Assistants. 

“SoundLines supports HealthChannels' skilled labor force at the point of care by incorporating meaningful and impact focused technology such as Amazon's medically accurate speech-to-text solution, Amazon Transcribe Medical, into the workflows of our network of Care Team Assistants, Medical Scribes and Navigators. This allows the clinicians we serve to focus on patients instead of spending extra cycles on manual note taking. Amazon Transcribe Medical easily integrates into the HealthChannels platform, feeding its transcripts directly into downstream analytics. For the 3,500 healthcare partners relying on our care team optimization strategies for the past 15 years, we've significantly decreased the time and effort required to get to insightful data.”

Vadim Khazan, President of Technology - SoundLines

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