AWS for Industries

Category: SageMaker

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 […]

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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 […]

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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 […]

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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 […]

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Accelerating subsurface collaboration with streamlined raster image rendering

OAG Analytics software running on AWS accelerates collaboration between geoscientists and data scientists with seamless interaction of 100+ GB geo-encoded raster images in a web browser or mobile device. Problem Large geotagged raster images are frequently used as input data to, and are generated by, hybrid machine learning workflows that quantify subsurface resources like hydrocarbons, copper, […]

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The Cow Collar Wearable: How Halter benefits from FreeRTOS

Who is Halter, and what IoT product are they building? Halter (https://halterhq.com), based in New Zealand, is an agri-tech original equipment manufacturer (OEM) that focuses on cattle herd management. Halter creates GPS enabled, solar powered smart collars for cows. The collar hardware allows farmers to interact with an easy-to-use app to remotely set geographic boundaries […]

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Planning for recovery: 5 trends to watch in travel and hospitality’s new normal

Previously, we have discussed how organizations have been stabilizing operations by aggressively optimizing costs, leveraging technology to support remote working, contact centers and ensuring both workforces and customers are safe. This is a complex and involved situation: ensuring maintaining a viable business, whilst balancing people and services, especially without a clear view of how and […]

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How utility executives elevate the customer experience with Amazon Connect

Utility executives share common benchmark success metrics when reporting to stakeholders including customers, regulators, elected officials, and investors. Regulated investor-owned utilities focus on long-term metrics such regulated rates of return (ROR) and service reliability benchmarks such as Customer Average Interruption Duration Index (CAIDI). Energy retail executives focus closely on customer satisfaction (CSAT) scores and customer […]

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How OAG Analytics leverages AI and machine learning to optimize the profitability of oil and gas wells

In 2013, Luther Birdzell formed OAG Analytics to create an AI platform that enables oil and gas companies to use more of their data to help solve critical problems like well spacing. Today, the OAG-Amazon SageMaker integration enables customers to unify their datasets and create proprietary analyses using virtually unlimited compute. READ MORE Click here […]

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Kinect Energy uses Amazon SageMaker to forecast energy prices with machine learning

The Amazon ML Solutions Lab worked with Kinect Energy recently to build a pipeline to predict future energy prices based on machine learning (ML). We created an automated data ingestion and inference pipeline using Amazon SageMaker and AWS Step Functions to automate and schedule energy price prediction. READ MORE Click here to learn more about Energy on AWS

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