AWS for Industries
Category: Artificial Intelligence
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 […]
AWS re:Invent 2020 – Power and Utilities Industry Guide
AWS re:Invent routinely fills several Las Vegas venues with standing-room only crowds, but we are bringing it to you with an all-virtual and free event this year. This year’s conference is gearing up to be our biggest yet and we have an exciting program planned for the Power & Utilities industry with five keynotes, 18 […]
Defining the digital model for convenience retailing
The very definition of convenience retailing is an experience of access and ease for shoppers. There’s no ambiguity. The experience must be convenient, period. And the convenience store, or c-store, market is huge. In 2019, 3.1% of the US GDP resulted from $647.8 billion in combined in-store and fuel sales at c-stores. With nearly 153,000 […]
OpenVINO™ AMI now available on AWS for accelerating oil & gas exploration
Guest authored by Dr. Manas Pathak, Global AI Lead for Oil and Gas at Intel & Dr. Ravi Panchumarthy, Machine Learning Engineer at Intel — Introduction Convolutional Neural Networks (CNNs) offer State-of-the-art performance not only for traditional computer vision applications but also for seismic interpretation. Geoscientists can use CNNs for basin-wide quick look interpretation of […]
AWS releases smart meter data analytics
Introduction Utilities have deployed MDMS (Meter Data Management Systems) since the late 90’s and MDMS deployments have accelerated alongside the deployment of smart metering and advance metering infrastructure (AMI) at utilities worldwide. MDMS collect energy consumption data from smart meter devices and send it to utility customer information systems (CIS) for billing and further processing. […]
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 […]
Liveness Detection to Improve Fraud Prevention in Financial Institutions with Amazon Rekognition
Note: We recommend customers to explore Amazon Rekognition Face Liveness, a new feature to deter fraud in facial verification, that is now generally available. Face Liveness detects spoofs presented to the camera (e.g. printed photos, digital photos or videos, or 3D masks) and spoofs that bypass the camera (e.g. pre-recorded real or deepfake videos). Face […]
How Adani Renewables adopted an AWS microservices architecture for transformer health analytics
Adani Group is a diversified organization in India with combined revenue of $15 Bn comprising 6 publicly traded companies with a transport logistics, energy utility and infrastructure portfolio that has a pan-India presence. Adani owes its success and leadership position to its core philosophy of ‘Nation Building’ driven by ‘Growth with Goodness,” a guiding principle […]
How payments companies can use transaction data to support small merchants
What if? I used to get lunch from a small café near my old office, and I would get the same sandwich every time I was there. Eventually, the staff behind the counter would recognize me when I got in line. With a subtle nod of confirmation, they’d start making and toasting my sandwich so […]
Building Amazon Neptune based MedDRA terminology mapping for pharmacovigilance and adverse event reporting
September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Life Science companies are witnessing substantial growth in number of Adverse Events (AE) being reported for their products. This may be due to the increase in data volumes coming from journals, articles, social media, and non-standardized data sources. Evolving regulations […]









