AWS for Industries

Category: Artificial Intelligence

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 […]

How AWS and 5G enable tomorrow’s digital electric grid

Evolution and lessons from smart grid 1.0 In 2017, Gartner reported that advanced metering infrastructure was passing through the “Trough of Disillusionment” in its hype cycle for smart grid technology. The utility field area networks were beginning to climb the “Slope of Enlightenment” and perhaps have plateaued in productivity. A few important lessons were learned […]

Creating the Connected Farm using sensor and vision data

Feeding the world requires continuous innovation – and as data has become the force multiplier in agriculture – the need for an integrated ecosystem.  There is no single solution that solves for creating the Connected Farm because every operation is different and unique in the data it needs to operate. AWS customers have shared their […]

Calculating growing degree days using AWS Registry of Open Data

The selection of specific crops (corn, soybeans, wheat etc.) is dictated by the heat units and length of the growing season.  This is commonly calculated as Growing Degree Units.  The AWS Registry of Open Data contains global weather datasets dating back over 200 years enabling agricultural crop breeders in the seed/chemical/fertilizer business to optimize their […]

How to build a global, scalable, low-latency, and secure machine learning medical imaging analysis platform on AWS

Introduction It is hard to imagine the future for medical imaging without machine learning (ML) as its central innovation engine. Countless researchers, developers, start-ups, and larger enterprises are engaged in building, training, and deploying machine learning solutions for medical imaging that are posed to transform today’s medical workflows and the future value of imaging in […]

Computational needs of the electric grid of the future

A July 2019 Navigant report on growth of distributed energy resources (DER) annual capacity predicts that we will reach 600 GW of total DER capacity in eight years, out of which nearly 250 GW will come from distributed solar assets. Managing grid stability with such a massive influx of these highly variable energy resources is […]