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engineering

Results 101 - 125 of 338Sort Results By: Published Date | Title | Company Name
Published By: IBM     Published Date: Jan 22, 2016
By unlocking engineering knowledge with IBM Rational solutions, organizations can deliver fast, easy access to engineering information - across multiple disciplines - so engineers can make the right decisions at the right time to speed development, improve quality and advance innovation.
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ibm, engineering, innovation, networking, software development, enterprise applications
    
IBM
Published By: IBM     Published Date: May 03, 2016
Learn: - What continuous engineering is - How to continuously improve complex product designs - How to anticipate and respond to markets and clients - How to get the most out of your engineering resources
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ibm, watson, continuous engineering, product deisgn, engineering resources, continuous improvements, software development
    
IBM
Published By: IBM     Published Date: May 03, 2016
Learn: - What systems engineering is - How systems engineering can help you develop smart, connected products - How to expedite time-to-market, ensure business agility, and deliver high-quality smart products
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ibm, watson, systems engineering, smart products, business agility, software development
    
IBM
Published By: IBM     Published Date: May 03, 2016
The impact of the Internet of Things on product development: Discover how to transform your engineering processes and tools to gain a competitive advantage from the Internet of Things
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ibm, watson, internet of things, iot, product development, continuous engineering, software development
    
IBM
Published By: Arbor     Published Date: Feb 07, 2013
How the Arbor Security Engineering & Response Team (ASERT) Discovers, Analyzes and Mitigates DDoS Attacks
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arbor, ddos attacks, botnet
    
Arbor
Published By: Dassault Systèmes     Published Date: Jun 19, 2018
A&D manufacturers and their suppliers now depend more than ever on global supply chains. As they reach across time zones, languages and cultures, supply chains have to work around challenges that build up costs and drag down production schedules. Communication between distributed engineering and production centers can be labored and error-prone. These problems are often compounded by repetitive programming, incomplete simulations, time-intensive production methods, and concern that the shop floor may not be working with current data. Ideally, global companies should be able to design products at any location and produce them at selected sites, with all stakeholders from design to the shop floor working concurrently from a single unique global data source. Understand how manufacturing companies can deliver machined parts faster and increase revenue by reducing costs – despite operating globally across time zones and cultures.
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Dassault Systèmes
Published By: Dassault Systèmes     Published Date: Jun 19, 2018
This spotlight report examines: • How Manufacturing Operations Management (MOM) or Manufacturing Execution Systems (MES) are key enablers of data management and Digital Transformation. Companies can combine many other opportunities with manufacturing operations in a digital journey. • Product lifecycle management (PLM) as a high-value discipline to pair with MOM in discrete manufacturing, and the value of digital continuity across engineering, manufacturing operations, and supply chain. • A robust integration of MOM and PLM technologies and the advent of the Digital Twin (a virtual copy of the product and how it's made) to demonstrate maturity in Smart Manufacturing and the ability to make smart products in smart factories. The IIoT has opened up a world of opportunity for manufacturers. Take advantage of it.
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Dassault Systèmes
Published By: Polycom     Published Date: Mar 12, 2018
Learn how one organization with Polycom voice devices and Microsoft Office 365 realized a 109% risk-adjusted ROI and benefits of $1.6M over three years. By deploying Polycom voice solutions for Microsoft Office 365, an engineering firm was able to realize: $1.6M in total risk-adjusted benefits $1M in incremental revenue with more billable hours $537k in improved productivity $74k in phone purchase and installation cost savings $14k in employee relocation cost savings Learn more about the business benefits and cost savings attributed to Polycom voice solutions for Microsoft Office 365. The Total Economic Impact Of Polycom Solutions For Microsoft Office 365, a commissioned September 2016 study conducted by Forrester Consulting on behalf of Polycom and Microsoft.
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economic, impact, polycom, solutions, microsoft, optimization, organization
    
Polycom
Published By: Okta     Published Date: Jul 25, 2016
Adobe wanted to enable creativity in their customers and allow them to be mobile and function in the cloud. Recognizing that identify was key to making this work they leveraged Okta to create a simple and secure customer experience. Download this white paper to learn more about how Adobe found a way to bring IT and engineering together and overcome identify concerns.
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identity, idaas, iam, identity lifecycle management, mobile, provisioning, active directory, security
    
Okta
Published By: Micron     Published Date: Jan 12, 2017
Organizations find new ways to solve complex challenges by leveraging SSD performance, durability, and efficiency advancements. Download now to learn more.
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Micron
Published By: Datastax     Published Date: Aug 23, 2017
Kenzan, a software engineering firm that specializes in building scalable, data-driven solutions, often leverages DataStax Enterprise (DSE) for customers that have high expectations for both performance and value. That means making careful, informed choices when designing the cloud infrastructure that applications run on. Controlling costs is always a priority for businesses that rely on AWS for running DSE. With AWS, it can be tempting to solve performance issues simply by adding more resources until the problem goes away. However, this “solution” results in increased costs which quickly add up over time. In this white paper, Kenzan and DataStax identify some of the key factors to consider when building out infrastructure on AWS, outlining practical steps you can take to optimize performance with DSE on AWS while keeping costs in check.
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enterprise, benchmarking, data
    
Datastax
Published By: Pindrop Security     Published Date: Mar 21, 2018
As fraudsters grow in sophistication and experience, they often aren’t acting alone. Syndicated crime rings are big business around the world. In the fraud economy, different fraudsters specialize in different aspects of the attack, from gathering data and creating profiles of targeted victims, to socially engineering call center agents, to creating tools like robotic dialers. These fraudsters might work alone, selling their skills on the black market. In other cases, fraudsters are running entire call centers overseas dedicated to executing attacks.
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Pindrop Security
Published By: CheckMarx     Published Date: Apr 03, 2019
Following a paper released by the US Department of Homeland Security, software security is fundamentally a software engineering issue that must be addressed systematically throughout the software development lifecycle.
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CheckMarx
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
IBM Cloud Private for Data is an integrated data science, data engineering and app building platform built on top of IBM Cloud Private (ICP). The latter is intended to a) provide all the benefits of cloud computing but inside your firewall and b) provide a stepping-stone, should you want one, to broader (public) cloud deployments. Further, ICP has a micro-services architecture, which has additional benefits, which we will discuss. Going beyond this, ICP for Data itself is intended to provide an environment that will make it easier to implement datadriven processes and operations and, more particularly, to support both the development of AI and machine learning capabilities, and their deployment. This last point is important because there can easily be a disconnect Executive summary between data scientists (who often work for business departments) and the people (usually IT) who need to operationalise the work of those data scientists
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 11, 2019
The increase in sophisticated, targeted security threats by both external attackers and malicious insiders have made it extremely difficult for organizations to properly protect critical and sensitive information. The task of protecting these assets has only grown harder as IT environments have become more complex and widely distributed across geographic locations and in the cloud. Many recent high-profile breaches have one thing in common: They were accomplished through the compromise of passwords. In many cases, end-user passwords are initially hacked through various social engineering techniques. Then permissions are escalated to gain access to more privileged accounts — the keys to the kingdom. This unauthorized access can easily go undetected for weeks or even months, allowing hackers to see and steal information at their convenience. Unfortunately, many IT users lack a full understanding of how privileged accounts function, as well as the risks associated with their compromise an
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Group M_IBM Q2'19
Published By: Group M_IBM Q3'19     Published Date: Aug 29, 2019
Read the insights from MIT Technology Review around how engineering teams can use AI and IoT technology to cope with rising product complexity and accelerate innovation.
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Group M_IBM Q3'19
Published By: Domino Data Lab     Published Date: Feb 08, 2019
As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them. Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include: Why data science should not be treated like engineering. How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle. Why agility and special hardware to support burst computing are so important to data science break
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Domino Data Lab
Published By: Domino Data Lab     Published Date: May 23, 2019
As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them. Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include: Why data science should not be treated like engineering. How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle. Why agility and special hardware to support burst computing are so important to data science break
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Domino Data Lab
Published By: CyrusOne     Published Date: Jul 05, 2016
In June 2016, CyrusOne completed the Sterling II data center at its Northern Virginia campus. A custom facility featuring 220,000 square feet of space and 30 MW of power, Sterling II was built from the ground up and completed in only six months, shattering all previous data center construction records. The Sterling II facility represents a new standard in the building of enterpriselevel data centers, and confirms that CyrusOne can use the streamlined engineering elements and methods used to build Sterling II to build customized, quality data centers anywhere in the continental United States, with a similarly rapid time to completion.
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cyrusone, data, technology, productivity, engineering
    
CyrusOne
Published By: Cisco     Published Date: Jul 08, 2016
Cisco Helped to Deploy the World’s Largest 802.11ac Wave 2 Wireless Network for China University of Geosciences. China University of Geosciences at Wuhan is one of the country’s leading universities and a national key university directly under the Ministry of Education. Focusing on earth science, the university has national level-1 disciplines in geology, geological resources and geological engineering. in science and technology and a leader in applications instruction. Six years ago the university built a wireless network based on 802.11a/b/g—becoming the first university in Wuhan to deploy this type of wireless network—and has become one of the leaders among Chinese universities when it comes to wireless network development.
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Cisco
Published By: Epicor     Published Date: Feb 02, 2011
This paper discusses some important considerations for A&D manufacturers in the context of enterprise information systems and how they can help in addressing five important areas of concern-compliance, control, communications, competitiveness, and cutting cost, waste and complexity.
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epicor, a&d manufacturer, enterprise information system, aerospace and defense, product lifecycle management, engineering, compliance
    
Epicor
Published By: Nasuni     Published Date: Nov 19, 2014
The global architecture and engineering firm Environmental Systems Design, Inc., had enough capacity to handle its data. The challenge was protecting that data. The firm would often have 15TB of data in production at a given time and its existing backup solutions simply could not keep pace. After quickly outgrowing several other systems, ESD turned to Nasuni’s enterprise storage as a service. Now, thanks to Nasuni’s automated backup, which delivers unlimited versioning, fast disaster recovery and an unmatched RPO, IT can stop worrying about backup and focus on its core mission of enhancing business productivity.
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automated protection, enhanced productivity, data protection, backup solutions, it management, enterprise applications
    
Nasuni
Published By: Mimecast     Published Date: Jan 03, 2017
Mimecast has detected and blocked a dangerous new campaign that uses social engineering and advanced sandbox evasion techniques to deliver stealthy malware. This Email Security Advisory from Mimecast offers: - Detailed attack analysis - Mimecast viewpoint - reduce sandbox reliance - Weaponized attachments - prevention and recommendations
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mimecast, security, email security, email, cyber security, malware
    
Mimecast
Published By: OpenText     Published Date: Sep 27, 2017
The global nature of today’s manufacturing industry means that it is more important than ever to ensure that all participants in the design and engineering process are able to access digital information relating to a product any time, or anywhere around the world.
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opentext, manufacturing, design, engineering, digital
    
OpenText
Published By: Genesys     Published Date: Jun 13, 2018
Compare leading contact center infrastructure vendors. In Gartner’s 2018 Magic Quadrant for Contact Center Infrastructure, Worldwide, Genesys has once again maintained a leadership position. Placed furthest among all vendors in completeness of vision for 10 years and counting, our position continues to validate our mission to power the world’s best customer engagement solutions for organizations of all sizes—both in the cloud and on-premises. And according to Gartner peer insights, customers agree. “Great implementation that was on-time and on-budget!” 1 — CTO in the finance industry “Solid platform with a lot of features at a reasonable cost.” 1 — IT Manager of Software Engineering in the Services Industry Get the report now to learn: • How contact center vendors compare and which quadrant they are aligned to • Analyst views on the strengths and cautions of all participating vendors • How to evaluate key criteria to guide your decision-making process
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leadership, customer engagement, decision making
    
Genesys
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