AWS for Industries

Category: SageMaker

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 […]

Read More

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 […]

Read More

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 […]

Read More

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

Read More

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 […]

Read More

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 […]

Read More

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 […]

Read More

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 […]

Read More