AWS for Industries

Category: Amazon Comprehend

FSI Service Spotlight: Featuring Amazon Comprehend

Editor’s note: This is the second in a monthly series for Financial Services Industry Service Spotlight. Read Part 1 discussing Amazon SageMaker Notebook Instances. — In this edition of Financial Services Industry (FSI) Service Spotlight monthly blog series, we highlight five key considerations of a particular service that FSI customers should focus on to help […]

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Adaptive Analytics in Retail: Influencing Shopper Behaviors and Engagement

No retailer would ever question the importance of data in daily operations. The evolution of operational data in retail decision making—from batch reporting to decision support to business intelligence systems—has been quite profound. Today, adaptive analytic platforms are driving industry innovation so retailers can: Detect critical business signals. Derive the current meaning and predictive insights […]

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Multichannel customer engagement for financial services on AWS

Financial services organizations are facing challenges around loyalty, persistent churn, fragmented attention, and driving organic growth. There are external factors contributing to these challenges, such as the widespread adoption of mobile services, new digital native market entrants, adapting to generational shifts, and critical industry requirements around compliance and regulations that makes cumbersome to provide innovation […]

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How Amazon Machine Learning can Help Lenders Automate the New Round of Payment Protection Program Loans

Last week, the Small Business Administration (SBA) released new guidance for Paycheck Protection Program (PPP) and placed emphasis on helping smaller lenders and borrowers. According to the SBA, “small businesses, as defined by the US Census, employ 59.9 million people across the country.” A big push for the new guidance is to help “ensure increased access […]

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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 […]

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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 […]

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How to analyze well drilling reports using natural language processing

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 drilling operations. Extracting information about problems and remediations from the unstructured data can help reduce […]

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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 […]

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