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engineering

Results 26 - 50 of 347Sort Results By: Published Date | Title | Company Name
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: Pure Storage     Published Date: Apr 10, 2019
Pure Storage, a pioneer in block-based flash arrays, has developed a technology called FlashBlade, designed specifically for file and object storage environments. With FlashBlade, IT teams now have a simple-to-manage shared storage solution that delivers the performance and capacity needed to bring Spark deployments on premise. To help gain a deeper understanding of the storage challenges related to Spark and how FlashBlade addresses them, Brian Gold of Pure Storage sat down with veteran technology journalist Al Perlman of TechTarget for a far-reaching discussion on Spark trends and opportunities.
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Pure Storage
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: Dell EMC Storage     Published Date: Mar 27, 2019
The automotive industry is in the midst of a highly competitive transitional period, with the ultimate goal of fully autonomous or “driverless” vehicles likely to be realized within a decade. The scale and intensity at which OEMs and Tier 1 suppliers must bring innovations to market – while containing costs, mitigating risks, managing product complexity and maintaining compliance – is challenging. The emergence of Advanced Driver Assistance Systems (ADAS), designed to enhance passenger, vehicle and road safety, introduces disruptive requirements for engineering IT infrastructure – particularly storage, where even entrylevel capacities are measured in petabytes. This paper will explore the infrastructure challenges facing OEMs and Tier 1 suppliers in developing and validating ADAS technologies, and propose a storage solution that is optimized for such workloads, delivering high performance, high concurrency and massive scalability.
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Dell EMC Storage
Published By: Dell EMC     Published Date: Mar 27, 2019
The automotive industry is in the midst of a highly competitive transitional period, with the ultimate goal of fully autonomous or “driverless” vehicles likely to be realized within a decade. The scale and intensity at which OEMs and Tier 1 suppliers must bring innovations to market – while containing costs, mitigating risks, managing product complexity and maintaining compliance – is challenging. The emergence of Advanced Driver Assistance Systems (ADAS), designed to enhance passenger, vehicle and road safety, introduces disruptive requirements for engineering IT infrastructure – particularly storage, where even entrylevel capacities are measured in petabytes. This paper will explore the infrastructure challenges facing OEMs and Tier 1 suppliers in developing and validating ADAS technologies, and propose a storage solution that is optimized for such workloads, delivering high performance, high concurrency and massive scalability.
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Dell EMC
Published By: Dell EMC     Published Date: Mar 08, 2019
Digital transformation means many key parts of the business now depend on specific and often very demanding applications. The outcome of these applications can determine the health of the company. Running them on commodity PCs is a risky strategy. Workstations designed to tackle the most challenging workloads can help ensure a positive outcome. Learn more about Dell solutions powered by Intel®.
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Dell EMC
Published By: 3D Systems     Published Date: Mar 07, 2019
To stay competitive, manufacturers have to meet the rapidly changing needs of customers while retaining high quality products, at the same time as controlling costs. Product lifetimes are shrinking and customers are expecting more customization and innovation. Agility is the key to staying ahead of the competition and meeting the needs of customers. The FabPro 1000 entry-level industrial 3D printer delivers production-grade parts, at high speed, with six sigma repeatability, and can be used across a distributed manufacturing and engineering enterprise. With a low cost of entry, FabPro 1000 enables agile manufacturing operations to meet customer needs rapidly and effectively empowers engineers to deliver more value and quality in the product development process. To find out more download this whitepaper today!
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3D Systems
Published By: Stratasys EMEA     Published Date: Feb 21, 2019
The adage “never stop learning” is alive and well for both the students at Milwaukee School of Engineering (MSOE) and its Additive Lab Consortium members. The school of 2,900 students, located in the heart of downtown Milwaukee has ties with 47 manufacturing companies, including Kohler, Snap-on Tools, Baxter Medical and Master Lock. The Consortium was born out of necessity 27 years ago when MSOE was faced with a 50 percent shortfall in the funds needed to get an additive lab up-and-running. The school approached industry and opened partnership talks around additive technology. Four founding partners came on board, each contributing one-eighth of the cost of the lab. In turn they were provided with non-competitive, shared access. Currently, consortium members pay yearly dues in return for lab hours and access to additive manufacturing expertise.
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Stratasys EMEA
Published By: Stratasys EMEA     Published Date: Feb 21, 2019
Milwaukee School of Engineering Students Test New Elastomer Material
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Stratasys EMEA
Published By: Apstra     Published Date: Feb 21, 2019
When Bloomberg Television opened its state-of-the-art broadcast facility in the company’s new European Headquarters in London last year, network engineers from the company’s IT infrastructure team collaborated with Apstra to successfully pilot its technology in order to gain visibility across and more effectively manage the network fabric supporting the building’s media production systems.
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apstra, bloomberg, network engineering
    
Apstra
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: ANSYS     Published Date: Feb 04, 2019
Read how ANSYS is addressing this challenge with the introduction of Mosaic technology that automatically connects different types of meshes with general polyhedral elements.
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ansys, 3d design, design engineering, fluid dynamics
    
ANSYS
Published By: Xcentric     Published Date: Nov 28, 2018
Optimizing your part design from development though production will help you eliminate mistakes, avoid additional costs and get to market faster with your plastic injection molded part.
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xcentric, injection molding, design engineering, molding design, plastic molding, infrastructure, internetworking hardware
    
Xcentric
Published By: CheckMarx     Published Date: Nov 02, 2018
In today’s era of digital transformation, time-to-market is the new name of the game, and DevOps is changing the way software is built. As developers have taken on a much larger role in the software development lifecycle, including developing secure code, building containers and ensuring quality, security cannot be separated from DevOps and engineering. Unfortunately, traditional software security testing tools have operated in isolation and have forced developers to change the way they work. Checkmarx, however, has developed a more agile and responsive solution: Checkmarx’ Software Exposure Platform. Taking a holistic, platform-centric approach, the platform builds security in from the beginning, supporting all stages of the software development lifecycle, allowing enterprises to deliver secure software at the speed of DevOps while mitigating their business risk. Download the white paper Delivering Secure Software at the Speed of DevOps to learn how Checkmarx provides the combinatio
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CheckMarx
Published By: Domino     Published Date: Oct 09, 2018
Industry 4.0 is a trending topic across the manufacturing world. It’s also a complex concept that encompasses multiple technologies and disciplines — and the ROI isn’t always readily apparent. One way food and beverage companies are seeing some real-time benefits is through the automation of processes to reduce the potential for human error. In this exclusive on-demand webcast, Adem Kulauzovic, Director of Coding Automation at Domino Printing, sits down with four industry experts to talk about the impact Industry 4.0 and automation can have on reducing human errors in food packaging. • Bill Dye, Corporate Operations Engineering Manager, Jack Link’s Beef Jerky • Bob Trask, Senior System Architect, BECKHOFF • Yanik Ballou, Technology Leader, Optel Group • Tom Egan, Vice President of Industry Services, PMMI Join us for insights and firsthand observations from a variety of perspectives on the goals and challenges of integrating technology on the packaging line — an operations engineer
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Domino
Published By: CA Technologies EMEA     Published Date: Sep 11, 2018
This infographic looks at Software Engineers who do awesome ops, ensuring millions of users having super-fast and reliable service from today’s massively complex systems! We look at the key skills and tools required in Modern monitoring and analytics: -Full Stack Visibility -Noise Reduction -Anomaly Detection -Modern Instrumentation -Data- Driven Insights Put your SRE Teams in the Driver's Seat with a new model for application monitoring.
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CA Technologies EMEA
Published By: TIBCO Software     Published Date: Aug 15, 2018
Expanding analytic capabilities are critical to digitizing the business, optimizing costs, accelerating innovation, and surviving digital disruption Historically, manufacturers were almost solely focused on reducing costs by applying automation and analytics to engineering, R&D, manufacturing operations, and quality organizations. Even though the strategies used within these areas are still needed, they are not sufficient to ensure business survival and continuity in the age of Industry 4.0 and the IoT. Today, it is paramount that smart manufacturers broaden their scope because disruptive innovations in data acquisition, storage, and analytics technology have enabled an entirely new degree of automation and virtualization, promising a complete 360-degree high-fidelity virtual data-driven integrated views of all operations—from suppliers and supply chains, through equipment, processes, and manufacturing practices, to final product testing and customer satisfaction. Download this paper
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TIBCO Software
Published By: Dell EMC & Intel     Published Date: Aug 03, 2018
Digital transformation has become a business imperative as most aspects of economic engagement have become digital. Around the globe, businesses and government agencies are re-engineering their technology infrastructures to keep pace with customer demands, spur innovation and stay competitive in an ever-evolving digital economy. A recent PwC survey noted that 45 percent of business and IT executives across 51 countries identified growing revenue via digital transformation as a top priority1. Success in this fast-paced digital landscape requires businesses to transform their IT infrastructures to achieve new levels of flexibility and responsiveness. At the same time, business leaders must find a balance between funding core aspects of the business while investing in new business and technology innovations needed to compete in today’s dynamic environment. Hyper-Converged Infrastructure (HCI) systems bundle multiple technology components together into single systems, enabling IT departmen
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Dell EMC & Intel
Published By: Genesys     Published Date: Jul 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 1 Gartner Peer Insights rev
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Genesys
Published By: Dassault Systemes SolidWorks Corp.     Published Date: Jul 11, 2018
Traditional tools of the engineering trade don’t accommodate today’s need for cross-team collaboration. From using different mechanical computer-aided design (MCAD) applications to working on projects with stakeholders located all over the world, engineers have to overcome various obstacles to get the job done. Learn how technology can help streamline communications and collaboration, ultimately setting up your team for success.
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leverage, technology, design, collaboration, computer
    
Dassault Systemes SolidWorks Corp.
Published By: Dassault Systemes SolidWorks Corp.     Published Date: Jul 11, 2018
The Internet of Things (IoT) isn’t an aspiration — it’s a reality. Engineers have strict expectations to meet when it comes to designing smart connected products, and system engineering is a critical skill set in this new age of design. Read the e-book "Engineering Handbook for Designing Smart Connected Devices" to learn how to master this competency.
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designing, iot, internet, things, products
    
Dassault Systemes SolidWorks Corp.
Published By: Epson     Published Date: Jun 22, 2018
Despite the digitization of business today, most organizations continue to rely on paper hard copies to get the job done. A great deal of printed information drives the fundamental workflow and success of nearly any business, especially in highimpact, high-touch areas like Marketing and Sales; Planning, Engineering and Design; and Human Resources. As a result, companies continue to look for ways to manage the ongoing cost, workflow and efficiency of using printed documents.
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Epson
Published By: Dassault Systèmes     Published Date: Jun 19, 2018
Dassault Systèmes' has been named by Gartner, Inc. as a “Leader” in its 2017 Magic Quadrant for Manufacturing Execution Systems. 2017 is the first year for the Gartner Magic Quadrant for MES, which specifically covered the MES market, including MOM applications. Because of our position as a Leader in the Gartner Magic Quadrant we believe it confirms the positive response we are receiving on our vision and ability to execute the transformation of manufacturing. We also believe we are being recognized for our unique and holistic approach to MOM / MES and the greater transformative value that digital continuity with DELMIA has across manufacturing engineering, manufacturing operations and the supply chain. DELMIA® Manufacturing Operations Management solutions transform global production operations to achieve and sustain operational excellence. This is accomplished through digital continuity, a shared digital landscape connecting all stakeholders to improve visibility into, control over a
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Dassault Systèmes
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
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