AWS for Industries

Category: Amazon Comprehend

How restaurants are augmenting data to drive insights

The restaurant industry (restaurants, catering, and food service distribution), is experiencing massive change, including the need to adopt dynamic business models such as delivery, pickup, and contactless service. At the same time, competition, labor costs, and consumer expectations are greater than ever. This environment creates an opportunity for organizations to augment existing data with third-party […]

How to find key geoscience terms in text without mastering NLP using Amazon Comprehend

Geosemantics is the application of linguistic techniques to geoscience. Geoscientists often have access to more reports than they can reasonably read so they are commonly challenged in filtering through reports to find relevant information (for example, this report about the Wolfcamp and Bone Spring shale plays. Traditional Natural Language Processing (NLP) techniques such as Named […]

How to analyze well drilling reports using natural language processing

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Eighty percent of all company data is unstructured. Energy companies are not the exception. One example is weekly and daily reports for drilling and production activity.  These reports include information about actions performed in the field to remediate common issues during […]

Executive Conversations: Jonathan Barouch, CEO, Local Measure

Local Measure is making travel and hospitality more human through technology. CEO of Local Measure Jonathan Barouch joined David Peller, Head of Worldwide Business Development for AWS Travel and Hospitality, for a wide-ranging discussion that uncovered insights into the industry and current landscape. — David Peller (DP): Tell me a little about your business, Local […]