AWS for Industries
Category: Amazon SageMaker
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 […]
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
Digging deep and solving problems: Well Data Labs applies machine learning to oil and gas challenges
When CEO Josh Churlik co-founded Well Data Labs in 2014, he was acutely aware of a bizarre dichotomy in his industry: For oil and gas companies, “downhole” innovation (that is, what happens underground) far exceeds the pace of data and analysis innovation. The data systems used then were relics of the 1990s – more homages to history […]
AWS IoT analytics oil and gas customer use case
Learn how an oil and gas company deployed AWS IoT Analytics to help them better understand their assets in the field, derive actionable insights from their data, and build a predictive maintenance solution to help reduce their costs. READ MORE Click here to learn more about Energy on AWS
Interpreting 3D seismic data automatically using Amazon SageMaker
Interpreting 3D seismic data correctly helps identify geological features that may hold or trap oil and gas deposits. Amazon SageMaker and Apache MXNet on AWS can automate horizon picking using deep learning techniques. In this post, I use these services to build and train a custom deep-learning model for the interpretation of geological features on 3D seismic data. The […]
Harvest needs: Farms need labor and innovation
Food is the thread that connects us all, and in times of stress or uncertainty, the reliance on our food producers has never been so clear. From the fields of strawberries, cherries and citrus to the rice, lentils and bread on your plate, all are the product of the generations of farmers who have invested […]
Forecasting energy usage using Amazon machine learning and data lakes
Executives within utilities and energy providers of all types and sizes have multiple ongoing needs to forecast energy usage. For example, as chief customer officer, your teams can use energy forecasts at the household level to proactively engage homeowners with high bill alerts and predict pre-pay or month-end energy charges. As the head of energy […]
Convenient Conversations: How conversational AI elevates the traveler experience
This is a point of view from Andrei Papancea, Cofounder and CEO of NLX – an AWS technology partner specialized in building the next generation of conversational applications. — As consumer demands are changing, brands are constantly looking for new ways to interact with customers. Digital conversations are on the rise. According to Smooch.io’s State […]
Personalizing loyalty programs for engagement in the travel and hospitality industry
The average American today participates in 14.8 different loyalty programs, and odds are you’ve participated in one, too. Some of the larger travel and hospitality loyalty programs include Alaska Airlines Mileage Plan, Hilton Honors, and Domino’s Piece of the Pie. Programs like these are popular because they work. Loyalty members generate on average 12% to […]
AWS re:Invent 2019 – Healthcare and life sciences industry recap
With over 75 launches and announcements of new services and major features during re:Invent, it can be hard for any technologist to keep track of the most relevant information for Healthcare and Life Science (HCLS) workloads. Explore the below recap of information important for HCLS customers and links to the top re:Invent breakout sessions. Top […]