Welcome!

Machine Learning Authors: Pat Romanski, Yeshim Deniz, Liz McMillan, Elizabeth White, Corey Roth

News Feed Item

Mitsubishi Motors Has an All-new Website

SYDNEY, Nov. 26, 2012 /PRNewswire/ -- Finding the right Mitsubishi vehicle is now easier than ever thanks to Mitsubishi Motors Australia Limited's (MMAL) brand new, fully responsive website. As one of the first automotive brands in Australia to go live with a responsive design, the Mitsubishi Motors site works seamlessly across all platforms to provide an enhanced user experience.

(Photo: http://photos.prnewswire.com/prnh/20121126/HK18186

Launched in early November, and using the latest in responsive technology, the new website provides users with a rich browsing experience that's been optimised for desktops, smartphones, tablets and everything in between.

The switch to full responsive format means the site will automatically re-size depending on the device it is being viewed on to create a smoother and simpler user experience.  

MMAL vice-president customer and brand management, Paul Unerkov, said the new website enhances the buying experience for Mitsubishi customers.

"The new website has all the tools customers need to find their next Mitsubishi vehicle, from browsing models and viewing colours and specifications to getting a price and booking a test drive at their nearest Mitsubishi Motors dealership," Unerkov said.

"The responsive web design is user-friendly and provides customers with all the information they need from any location, at any time, across multiple platforms."

In partnership with Clemenger BBDO Sydney, KOJO handled the entire responsive and design implementation of the new Mitsubishi Motors website including all CGI elements.

To view the new Mitsubishi Motors website and find your nearest dealership please visit www.mitsubishi-motors.com.au

For further information contact:

Caitlin Beale

Shona Connolly

Corporate Communications Manager

Corporate Communications Coordinator

Phone: +61-8-8275-7250

Phone: +61-8-8275-2676

Mobile: +61-417-243-719

[email protected]

[email protected]


 

SOURCE Mitsubishi Motors Australia Limited

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

CloudEXPO Stories
Chris Matthieu is the President & CEO of Computes, inc. He brings 30 years of experience in development and launches of disruptive technologies to create new market opportunities as well as enhance enterprise product portfolios with emerging technologies. His most recent venture was Octoblu, a cross-protocol Internet of Things (IoT) mesh network platform, acquired by Citrix. Prior to co-founding Octoblu, Chris was founder of Nodester, an open-source Node.JS PaaS which was acquired by AppFog and the founder of Teleku, a communications-as-a-service cloud platform which was acquired by Voxeo. Chris was also the founder of Digital Voice Technologies, the creator of the first VoiceXML-powered voice browser, which was acquired by Ideas & Associates.
By 2021, 500 million sensors are set to be deployed worldwide, nearly 40x as many as exist today. In order to scale fast and keep pace with industry growth, the team at Unacast turned to the public cloud to build the world's largest location data platform with optimal scalability, minimal DevOps, and maximum flexibility. Drawing from his experience with the Google Cloud Platform, VP of Engineering Andreas Heim will speak to the architecture of Unacast's platform and developer-focused processes.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-centric compute for the most data-intensive applications. Hyperconverged systems already in place can be revitalized with vendor-agnostic, PCIe-deployed, disaggregated approach to composable, maximizing the value of previous investments.