transportation systems

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Published By: Dell - NVIDIA     Published Date: Nov 04, 2019
Artificial intelligence (AI), machine learning (ML), and deep learning (DL) technologies are expected to permeate day-to-day business as well as customer activity. Industries such as healthcare (advanced diagnosis and treatment), transportation (advanced driver assistance systems and autonomous vehicles), and life sciences (rare disease treatment research) are some of the early adopters of AI. The goal for any organization adopting AI/ML/DL is to deliver meaningful insights and predictions that can significantly improve products, processes, or services across industries and use cases. Today, as AI becomes mainstream, many organizations find themselves in the initial proof-of-concept (POC) stage; only a few are in full production. IDC's 2019 Artificial Intelligence Global Adoption Trends and Strategies Survey found that 18% of organizations had AI models in production, 16% were in the POC stage, and 15% were experimenting with AI.
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Dell - NVIDIA
Published By: ALE     Published Date: Jan 10, 2019
Departments of roads and highways around the world have begun to implement technology solutions to improve the safety of their highways, lessen congestion and manage traffic more efficiently. Intelligent Transport Systems (ITS), as these systems are known, require reliable, secure and scalable networks to link cameras, sensors, signage, signaling and vehicles to remote data centers and operation centers. These networks will be deployed in harsh environments and will pose their own unique challenges to operate, maintain and manage. In this application note, we will present the unique requirements of ITS networks and discuss how AlcatelLucent Enterprise products and technologies not only meet today’s ITS requirements, but are designed to grow and scale to meet tomorrow’s as well.
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ALE
Published By: ALE     Published Date: Jan 10, 2019
The purpose of this design guide is to present the requirements and considerations relevant to the transportation vertical along with design options, best practices and configuration guidelines. While this design guide is focused on Shortest Path Bridging (SPB-M) based networks, it also addresses data networking solutions applicable for this transportation vertical. Although several modes of transport exist, this document focuses on rail (metro, heavy, light) and road transport. More specifically, this document focuses on the fixed network infrastructure underpinning the multiple systems that enable the safe and reliable operation of rail and intelligent transport systems. To find out more download this whitepaper today.
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ALE
Published By: HP     Published Date: Jul 29, 2008
This case study highlights how a leading transportation firm uses executive financial incentives to insure the highest system uptime for its customers. With the need to keep thousands of vehicles and employees on the move and process millions of daily transactions, keeping mission critical systems running is essential for financial performance.
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mission critical, high availability, transportation, service management, itil
    
HP
Published By: SAP     Published Date: Mar 22, 2016
All participants will use digital innovation to run their enterprise in real time and operate in a global network. They will provide superior products and services for a unique customer experience with the highest safety and environmental standards. This also paves way for new mobility concepts and business models. Our vision is where urban mobility and transportation systems run in a sustainable ecosystem while protecting natural resources and environment. This requires the ability to connect companies, people, and vehicles in real time for accident-free driving with zero-emission operated vehicles.
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digital network, digital enterprise, value creation, best business practices, sap, business technology
    
SAP
Published By: Oracle     Published Date: Apr 28, 2014
Gartner Recognizes Oracle as a Leader in the Magic Quadrant for Transportation Management Systems.
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oracle, tms, gartner, transportation management systems
    
Oracle
Published By: IBM     Published Date: Feb 27, 2014
The IBM Rational Intelligent Transportation Systems solution addresses the challenges with complex projects for the planning, development, deployment and lifecycle management of transportation software. Learn more by reviewing the ekit resources.
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ibm, ibm software, rational intelligent, transportation systems, transportation industry, sustainability, environmental protection, planning
    
IBM
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