LexisNexis Legal & Professional is a global provider of content and technology solutions for legal and business professionals, serving customers in more than 175 countries, offering over 2 billion searchable archives.
“We provide legal professionals with insightful research and analytics to help them make informed decisions. Therefore, we are always looking for better ways to discover insights from legal documents. Thanks to Amazon Comprehend's automatic machine learning (ML), we can now build accurate custom entity recognition models without getting into the complexities associated with ML. The entities that we care about the most, such as judge and attorney, can be identified quickly from over 200 million documents at above 92% accuracy.”
– Rick McFarland, Chief Data Officer of LexisNexis
Amazon Comprehend Medical
Fred Hutchinson Cancer Research Center is a research institute focused on curing cancer by 2025.
“Curing cancer is, inherently, an issue of time. For cancer patients and the researchers dedicated to curing them, time is the limiting resource. The process of developing clinical trials and connecting them with the right patients requires research teams to sift through and label mountains of unstructured clinical record data. Amazon Comprehend Medical will reduce this time burden from hours to seconds. This is a vital step toward getting researchers rapid access to the information they need when they need it so they can find actionable insights to advance lifesaving therapies for patients.”
– Matthew Trunnell, Chief Information Officer of Fred Hutchinson Cancer Research Center
FINRA is a not-for-profit organization dedicated to investor protection and market integrity. It regulates one critical part of the securities industry – brokerage firms doing business with the public in the United States.
"FINRA receives millions of documents with unstructured data to support investigative, examination, and compliance processes. Our investigators and examiners had to manually go through documents page by page or run very targeted searches to find what they needed. With Amazon Comprehend, we can quickly extract individuals and organization, match extracted entities to FINRA records, flag individual of interest, and detect similarities with other documents.”
– Dmytro Dolgopolov, Senior Director of Technology of FINRA
Roche is a global pioneer in pharmaceuticals and diagnostics focused on advancing science to improve people’s lives. Roche's NAVIFY decision support portfolio helps multidisciplinary care teams navigate increasing complexity of medical information by transforming large amounts of data into actionable insights.
"Roche's NAVIFY decision support portfolio provides solutions that accelerate research and enable personalized healthcare. With petabytes of unstructured data being generated in hospital systems every day, our goal is to take this information and convert it into useful insights that can be efficiently accessed and understood. Amazon Comprehend Medical provides the functionality to help us with quickly extracting and structuring information from medical documents, so that we can build a comprehensive, longitudinal view of patients, and enable both decision support and population analytics."
– Anish Kejariwal, Director of Engineering, Analytics of Roche
TINT helps B2C marketers find, curate, and display their most effective customer generated content from social media in their marketing.
“Our business is focused on delivering the best marketing content possible for the brands that depend on us. Using Amazon Comprehend, we were able to significantly increase the quality and accuracy of our platform’s content analytics capabilities, which identifies the right content for the most impactful marketing campaigns. Amazon Comprehend allows us to focus on our core product and not worry about the heavy lifting associated with building our own machine learning models.”
– Ryo Chiba, CTO of TINT
PricewaterhouseCoopers (PwC) is a multinational professional service provider that helps resolve complex issues and identify opportunities across industries.
“Amazon Comprehend Medical provides us the ability to realize better results, quicker and with less overhead. By using Amazon Comprehend Medical, our customers are able to focus more on building smarter applications and extracting critical insights and less on annotating, training and re-training models. The ability to perform a very manual task accurately at scale, and securely, allows us to create more impactful solutions and better patient and clinical outcomes. For example, one of our pharmaceutical clients is using Amazon Comprehend Medical on a limited sample size to help extract information that allows them to identify medically relevant events. In preliminary findings, we are seeing a significantly faster throughput than in the past.”
– Matt Rich, Healthcare AI Lead of PricewaterhouseCoopers
VidMob is a technology platform that connects marketers with a global network of expert editors, animators, and motion graphic designers.
“Amazon Comprehend and Amazon Transcribe services 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, Founder and Chief Executive Officer of VidMob
ConvergeHEALTH is Deloitte’s Life Sciences and Health Care products organization with over five years of investment in digital and analytics platforms.
“We are excited that Amazon Comprehend Medical is now available to help us and our customers uncover actionable insights from medical data. The new offering provides us with an integrated option for our ConvergeHEALTH products and for Deloitte’s consulting solutions. It allows us to adapt a scalable, cost-effective, and secure model that had previously been a challenge with prior medical Natural Language Processing tools. We are working to apply the information extraction and classification services towards applications in real world evidence, pharmacovigilance, competitive intelligence, and provider efficiency, which will help us to mine the information we need to extract meaningful insights and continue to drive transformation in the industry.”
– Dan Housman, Chief Technology Officer of ConvergeHEALTH by Deloitte
PubNub is the leading provider of realtime APIs for building chat, device control, and realtime mapping apps.
"At PubNub, we've found that chat and collaboration has emerged as a dominant use case across our global customer base...Combined with other AI offerings like Amazon Polly (text-to-speech), Amazon Comprehend (NLP), and Amazon Lex (chatbots), this will help make chat apps smarter and ultimately make it easier for our customers to grow their businesses internationally through high-performance and localized chat functionality.”
– David Hegarty, Director of Product Management, PubNub
Healthcare organizations trust ClearDATA to protect them from data privacy risks, improve their data management, and scale their healthcare IT cloud infrastructure. HITRUST 9.1 certified, ClearDATA safeguards their sensitive information and powers their critical apps in the cloud.
“One of our most important missions is to provide an accurate way to inventory all sensitive PHI or PII data, and clearly keep track of what systems the data passes and stores in case of an incident, breach, or in an effort to adhere to General Data Protection Regulation (GDPR) on behalf of our customers. Using Hera, we are able to harness theses unstructured datasets to derive life-saving insights about patient treatment and medical history. Using its PHId API, we can also identify patient sensitive data and mask for data security.”
– Matt Ferrari, Chief Technology Officer of ClearDATA
ClearView Social provides a one-click social media sharing tool to increase employee engagement.
"We use Amazon Comprehend to read an article and extract topics, which are automatically tagged using machine learning. Amazon Comprehend tags entities with the highest confidence and enables us to make more accurate earned media estimates to really determine ROI from social. We used to see earned media value as a very rough estimate, but not anymore."
– Bill Boulden, CTO of ClearView Social
Cloudticity helps healthcare organizations design, build, migrate, manage, and optimize HIPAA-eligible solutions on AWS.
"At Cloudticity, our mission is enabling healthcare organizations to provide better patient care, and to ultimately help make every human on Earth healthier. We use Comprehend Medical to find hidden insights in unstructured medical text - in real time, from sources such as HL7 messages - to discover hidden relationships that help clinicians make informed decisions about treatment plans."
– Gerry Miller, Founder & CEO of Cloudticity
VideoPeel is a video platform that enables brands to collect, manage, and publish consumer testimonials.
"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 of VideoPeel
Suki is a health care technology company focused on building a voice enabled digital assistant for doctors.
“Doctors are spending about 50% of their time entering or capturing information versus actually spending time with the patient, causing tremendous burnout and also distracting them from doing what they love - taking care of patients. We are trying to change that at Suki. By using Suki, doctors reduce the time they spend on documentation by 68%. We are currently experimenting with using Amazon Comprehend Medical to extract structured data from transcripts. The goal is to integrate the output from Amazon Comprehend Medical into Suki to streamline doctor workflows. We are excited about the potential of Amazon Comprehend Medical and the impact it can have!”
– Karthik Rajan, CTO of Suki