Thanks for your interest in DataRPM's Flipbook " The Deadly Oily Affair - It's Time To Stop the Oil Spills ."
Oil and gas companies collect a vast amount of data through sensors in their digital oilfields around the world. While many companies use oilfield sensors to monitor real-time data on operations, the data is not often stored and analyzed to help predict potential equipment problems. This is where the use of automated predictive analytics techniques can help in effectively utilizing this data to generate meaningful insights.
By downloading the flipbook, you will learn:
1. 5 biggest oil spill disasters and their impact
2. Real World illustrations and examples of how the IIoT is creating a revolution for the Oil and Gas Sector
3. How to leverage innovative technologies to maximize investments, lower costs, and mitigate risk
Download the Flipbook to understand how Cognitive Predictive Maintenance is the only way to utilize the true potential of machines and human, in order to drive the Oil and Gas industry to a better tomorrow.
Experience the power of Cognitive Data Science Platform for free and stay ahead of the pack! We are super excited to empower you in your journey for building cognitive data products!
Hear from cognitive data science specialists how our platform is empowering Fortune 50, Fortune 100 companies. Grab a cup of coffee, sit back, relax and learn about cognitive data science!
Watch Bill Schmarzo, the "Dean of Big Data", CTO EMC Big Data and Sundeep Sanghavi, CoFounder and CEO, DataRPM, discuss how big data drives business disruption and disintermediation and the genesis of Cognitive Data Science.
DataRPM is an award-winning predictive analytics company focused on delivering the next generation predictive maintenance solutions for the Industrial IoT. DataRPM's Cognitive Predictive Maintenance (CPdM) platform automates data science leveraging the next frontier in machine learning known as meta-learning, which is machine learning on machine learning. The platform increases prediction quality and accuracy by over 300% in 1/30th the time and resources delivering 30% in cost savings or revenue growth for business problems around predicting asset failures, reducing maintenance costs, optimizing inventory and resources, predicting quality issues, forecasting warranty and insurance claims and managing risks better. The company was founded in 2012 and is based in Redwood City, CA with operations in the United Kingdom and India.
Learn more about the company at www.datarpm.com