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Published By: AWS     Published Date: Jun 10, 2019
Reduce costs and scale to meet customer expectations Software-as-a-service (SaaS) delivery models are being adopted faster than ever to meet business and consumer demand, prompting organizations to move their customer-facing applications to the cloud. As a result, Independent Software Vendors (ISVs) need to modernize their applications to deliver the flexibility and scale customers expect, without the restrictions and high costs of running applications on commercial databases. mLogica provides deep industry expertise, backed by powerful engineering, to help ISVs quickly modernize their applications on Amazon Aurora and drive greater business value with Amazon Web Services (AWS). Register for our webinar to learn how mLogica and AWS can help you transform your business on the cloud, so you can deliver modern, high-performing solutions to your customers.
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AWS
Published By: Dell EMC Storage     Published Date: Jun 10, 2019
Die Automobilindustrie befindet sich mitten in einer hart umkämpften Übergangsphase, deren letztendliches Ziel darin besteht, innerhalb eines Jahrzehnts vollständig autonome oder „fahrerlose“ Fahrzeuge zu realisieren. Die Größenordnung und Intensität, mit der OEMs und Tier1-Lieferanten Innovationen auf den Markt bringen und gleichzeitig Kosten eindämmen, Risiken mindern, die Produktkomplexität managen und die Compliance aufrechterhalten müssen, bedeuten eine große Herausforderung. Die Entwicklung von Fahrerassistenzsystemen (Advanced Driver Assistance Systems, ADAS), die die Sicherheit von Insassen, Fahrzeugen und Straßen verbessern sollen, bringt revolutionäre Anforderungen an die Engineering-IT-Infrastruktur mit sich–insbesondere für Speicher, bei dem selbst Entry-Level-Kapazitäten in Petabyte gemessen werden. In diesem Whitepaper werden die Infrastruktur-herausforderungen erkundet, vor denen OEMs und Tier1-Lieferanten bei der Entwicklung und Validierung vonADAS-Technologien steh
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Dell EMC Storage
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: Fidelis Cybersecurity     Published Date: May 15, 2019
Cybercriminals have been upping their game this year; the use of file-less attacks with macros and PowerShell scripts to evade preventive defenses and sandboxes mean that they are getting better than ever at using phishing, social engineering and drive-by techniques to gain initial footholds in private domains – and once they arrive, they are often avoiding detection for extended periods of time. Between April and July 2018, Fidelis interviewed over 580 security professionals from around the globe to understand how they are shifting their detection strategies and how confident organizations are in their ability to not only prevent targeted attacks – but root out threats that have by-passed traditional preventive defenses.
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Fidelis Cybersecurity
Published By: Intapp     Published Date: May 10, 2019
The Cornerstone of Financial Control Time equals money. Time plus data equals control. All professionals, whether in management, consulting, engineering, or accounting, must be confident that their value is reflected in their bottom line. One of the primary factors driving that compensation is the amount of time spent on a particular subject or client. But too often front line earners at those firms don’t provide the clean, data-rich timesheets needed to accurately gauge the effort required by each project.
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business, business intelligence, time, tax, time for tax, intapp, applications, time data, automation, reporting, timekeeping, audit, accounting, consulting, professional services, active time capture, passive time capture, time tracking
    
Intapp
Published By: MalwareBytes EMEA     Published Date: May 10, 2019
Enterprises, beware. Threat actors are continuing to eye businesses for high returns on investment in Q1 2019, breaching infrastructure, exfiltrating or holding data hostage, and abusing weak credentials for continued, targeted monitoring. From a steadfast increase of pervasive Trojans, such as Emotet, to a resurgence of ransomware lodged against corporate targets, cybercriminals are going after organizations with a vengeance. Yet every cloud has a silver lining, and for all the additional effort thrown at businesses, consumer threats are now on the decline. Ransomware against consumers has slowed down to a trickle and cryptomining, at a fever pitch against consumers this time last year, has all but died. Interestingly, this has resulted in an overall decline in the volume of malware detections from Q4 2018 to Q1 2019. While threat actors made themselves busy with challenging new victims, they ensnared targets in the old ways, using tried-and-true malspam and social engineering tactic
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MalwareBytes EMEA
Published By: Motorola Solutions     Published Date: Apr 26, 2019
Rosen Hotels & Resorts was looking to improve its two-way radio communications. The organization had an aging analog radio system to support its existing properties, with the main antenna located at its tallest building, the 24-story Rosen Centre Hotel. However, with the opening of a new property, Rosen Shingle Creek, the lack of wide area coverage became an immediate concern. Employees situated across departments such as catering, engineering and security, and subpar radio connections hindered collaboration and a real-time flow of information.
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Motorola Solutions
Published By: Dassault Systèmes     Published Date: Apr 24, 2019
How a Cloud-Based Data Platform Drives Digital Transformation in Engineering
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Dassault Systèmes
Published By: Rackspace     Published Date: Apr 15, 2019
Scale events — like online sales and digital product launches — present great revenue opportunities, but they also present large risks to your business. Whether you are a retailer preparing for Black Friday and Cyber Monday, or a digital vendor launching a new service, your brand is both at its most visible and its most vulnerable during these scale events. Many more customers visit your site over a short period of time, raising the potential for resource constraints and discovery of software bugs. Information about issues spreads quickly via social media and news outlets. And, your customers typically spend more per transaction, so every lost order has a greater negative impact on your bottom line. Site reliability engineering (SRE) can help you better prepare for scale events through an iterative cycle of data-driven improvement.
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Rackspace
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, product lifecycle management, project management, productivity, manufacturing execution systems
    
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, project management, productivity
    
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
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