Machine Learning - eBook (EN)

Unleash the power of your startup with machine learning

Issue link: https://read.uberflip.com/i/1484699

Contents of this Issue

Navigation

Page 11 of 13

Results • Quick cloud migration: TWAICE completed the migration from its on-premises infrastructure to a cloud-based platform within six months (without having to increase the size of its DevOps team) • Fast, functional onboarding: Reduced overall onboarding time for new customers from up to two weeks to a few hours • Rapid, accurate results: The platform can now deliver analytics results in minutes— results that are up to 300 percent more accurate than before • "By building on AWS, we've reduced our IT complexity. Now, we can focus on what we're best at—helping our customers get the most out of their battery technology." Jeff Glasson, CTO, TWAICE Extending the life of batteries with unified infrastructure and predictive analytics TWAICE combines specialized battery knowledge and AI to provide detailed and actionable battery insights for electric vehicle (EV) makers and renewable energy providers. Its predictive analytics platform eliminates risk around health, safety, and warranty issues, empowering TWAICE customers to outperform their peers. Opportunity This software startup is unifying predictive analytics with Internet of Things (IoT) data to help EV and renewable energy businesses optimize their use of battery technology across their vehicles or energy storage systems. Of course, performing serious analytics requires extensive compute power to process large amounts of data, which has increased from 10,000 items a week to several billion a day. TWAICE's on-premises servers and databases would have made this task slow and expensive, hindering its growth as well as its ability to provide actionable results. Solution TWAICE increased the speed and accuracy of its analytics by 300 percent with its move to the AWS cloud-native platform. In addition to increasing IT team efficiency, the successful migration helped reduce infrastructure development time from several months to two weeks and cut deployment times from three days to a few hours. That has allowed the total number of TWAICE customers to nearly double and the amount of data processed to increase 100,000-fold. With its unified IT infrastructure running on AWS, the company can focus on its core business: enabling better battery technology. 12

Articles in this issue

Links on this page

view archives of Machine Learning - eBook (EN) - Unleash the power of your startup with machine learning