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By: Dell EMC     Published Date: Nov 19, 2019
65% of European CEOs are under significant pressure to deliver on their digital transformation (DX) strategies. Creating a digital platform with an intelligent core is key to success. The digital platform is defined as an integrated, enterprise wide technology architecture that enables the seamless flow of data across every single business application, system and application. It is intelligent, agile, trusted and orchestrated, and enables great customer and employee experience. IDC predicts that over the next decade 75% of organisations will have transformed into digital-native enterprises, while 25% of businesses will struggle. This transformation is challenging, and 59% of organisations are stuck on this journey. Significant technology modernisation is required to succeed.
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     Dell EMC
By: Thoughtspot EMEA - Kingpin     Published Date: Nov 19, 2019
Künstliche Intelligenz (KI) und Maschinelles Lernen fesseln unser Vorstellungsvermögen seit Jahrzehnten. Schon in den 1950er-Jahren hatten Forscher Computerprogramme entwickelt, die die grundlegende Intelligenz bei der Interaktion mit Menschen nachahmten. Das gab Anlass zu großem Optimismus, dass Maschinen eines Tages in der Lage wären, wie jedes menschliche Wesen jede beliebige Aufgabe zu erledigen. Während die Erwartungen immer weiter anstiegen, waren die Forscher jedoch nicht in der Lage, bedeutende Ergebnisse zu erzielen, da die frühen Computer nicht genug Leistungsfähigkeit, Geschwindigkeit und Kapazitäten besaßen, um menschliches Verhalten angemessen imitieren zu können. Die Folge war, dass sich die anfängliche Euphorie schon recht bald mit der Skepsis mischte, das KI-Versprechen könnte überzogen gewesen sein.
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     Thoughtspot EMEA - Kingpin
By: Thoughtspot EMEA - Kingpin     Published Date: Nov 19, 2019
Daten werden immer mehr zum wertvollsten Kapital der Unternehmen. Diejenigen Unternehmen, die ihre Daten in wertvolle Erkenntnisse verwandeln, eröffnen sich damit zahlreiche Möglichkeiten. Trotzdem sind schnelle und einfache Erkenntnisse für die meisten Unternehmen eher Ausnahme als Regel. Trotz milliardenschwerer Ausgaben für Business Intelligence (BI), wird sie laut Gartner nur von knapp 35 % der Unternehmen eingesetzt. Millionen von Mitarbeitern haben also keinen Zugriff auf die Informationen, die sie benötigen, um bessere Entscheidungen zu treffen.
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     Thoughtspot EMEA - Kingpin
By: TIBCO Software     Published Date: Nov 18, 2019
FINANCIAL SERVICES’ HISTORY OF DISRUPTION Financial Services is an industry driven by disruption. Transformative business models such as low-cost brokerages, innovative investment products like ETFs, and the huge regulatory mandates like Gramm-Leach-Bliley are but a few examples. Here are some others: • New fintech firms such as a recent nine billion dollar investment in Ant Financial Services Group and myriad other venture capital-led fintech startups targeting well established segments across the financial services industry • Robo-advisor services powered by artificial intelligence and machine learning intermediating financial advisors and portfolio managers alike • Ever changing regulatory and risk management mandates, such as GDPR, Basel III, and Open Banking, transforming customer engagement and capital allocation Read this whitepaper to learn how you can overcome these and other disruptions.
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     TIBCO Software
By: TIBCO Software     Published Date: Nov 18, 2019
On-demand Webinar The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products. Watch this webinar to learn how TIBCO’s Smart Manufacturing solutions can help you overcome these challenges. You will also see a demonstration of TIBCO technology in action around improving yield and optimizing processes while also saving costs. What You Will Learn: Applying advanced analytics & machine learning / AI techniques to optimize complex manufacturing processes How multi-variate statistical process control can help to detect deviations from a baseline How to monitor in real time the OEE and produce a 360 view of your factory The webinar also highlights customer case studies from our clients who have already successfully implemented process optimization models. Speakers:
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     TIBCO Software
By: Intel     Published Date: Nov 18, 2019
Deep learning is enabling a new generation of real-time video analytics technology that can identify and track people, vehicles, and more objects frame by frame in real time, providing state-of-the-art security for a wide range of businesses and government agencies. But along with the advances come challenges. Systems can be complex, and environmental inconsistencies make video analysis complicated. For Gorilla Technology’s IVAR™ intelligent video analytics recorder platform, the key challenge was to maximize performance for its customers.
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     Intel
By: Intel     Published Date: Nov 18, 2019
Across vertical sectors, organizations are looking to deploy cutting-edge smart vision solutions to process daunting amounts of vision data on-premise and run vision analytics, using existing cameras and infrastructure, to gather actionable insights. By doing so, organizations hope to address challenges in security, safety, and customer experience.
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     Intel
By: Intel     Published Date: Nov 18, 2019
The security and surveillance industry has changed over the last several years thanks to advances in camera technology, resulting in higher resolution images. As the resolution increases, however, the devices that store, filter, process, and analyze vision workloads are struggling to keep up. In order to effectively leverage vision for security and surveillance applications, organizations need to be able to process the increased vision data that accompanies high-quality images.
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     Intel
By: Intel     Published Date: Nov 18, 2019
iSTAR Pulsar from NCTech is a big data capture device developed in collaboration with Google*, Intel and Sony* for 360-degree virtualisation. It can be vehicle or backpack mounted to capture image and associated data anywhere. For more information, download the the pdf.
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     Intel
By: Cisco Umbrella EMEA     Published Date: Nov 15, 2019
People make a lot of claims about network security. We’d rather show you proof. If you're looking for speed, reliability, advanced intelligence, and ease of integration with your existing environment, there's only one secure internet gateway that you can build your entire business on: Cisco Umbrella. Check out our infographic to learn just how quickly and easily you can put Cisco Umbrella to the test in your environment.
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     Cisco Umbrella EMEA
By: Cisco Umbrella EMEA     Published Date: Nov 15, 2019
Traditional threat intelligence is reactive, basing security on information gathered only after an attack is successfully carried out. With threats increasing in sophistication and speed, you need intelligence that can learn from internet activity patterns, automatically identify attacker infrastructure being staged for the next threat, and block those threats before they have the chance to attack your organization. Download this white paper to learn how a predictive intelligence can aid in the fight against cyberattacks.
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     Cisco Umbrella EMEA
By: Cisco Umbrella EMEA     Published Date: Nov 15, 2019
The average company uses more than 50 security vendors: firewalls, web proxies, SIEM, appliances, intelligence - and the list goes on. Do you have more security tools than you can handle? There’s an easier way to make the most of your existing investments. We'll share ways you can reduce security alerts and extend your security off network, anywhere users go, with Cisco Umbrella. Built with a bidirectional API, Cisco Umbrella easily integrates with the other systems in your stack, so you can extend protection from on-premises security appliances to devices and sites beyond your perimeter — and amplify investments you’ve already made. Read the eBook to learn more about getting more bang for your security buck.
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     Cisco Umbrella EMEA
By: Intel     Published Date: Nov 14, 2019
Infrastructure considerations for IT leaders By 2020, deep learning will have reached a fundamentally different stage of maturity. Deployment and adoption will no longer be confined to experimentation, becoming a core part of day-to-day business operations across most fields of research and industries. Why? Because advancements in the speed and accuracy of the hardware and software that underpin deep learning workloads have made it both viable and cost-effective. Much of this added value will be generated by deep learning inference – that is, using a model to infer something about data it has never seen before. Models can be deployed in the cloud or data center, but more and more we will see them on end devices like cameras and phones. Intel predicts that there will be a shift in the ratio between cycles of inference and training from 1:1 in the early days of deep learning, to well over 5:1 by 2020¹. Intel calls this the shift to ‘inference at scale’ and, with inference also taking up
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     Intel
By: Intel     Published Date: Nov 14, 2019
-memory databases have moved from being an expensive option for exceptional analytics workloads, to delivering on a far broader set of goals. Using real-world examples and scenarios, in this guide we look at the component parts of in-memory analytics, and consider how to ensure such capabilities can be deployed to maximize business value from both the technology and the insights generated.
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     Intel
By: Intel     Published Date: Nov 14, 2019
Evaluating an existing HPC platform for efficient AI-driven workloads The growth of artificial intelligence (AI) capabilities, data volumes and computing power in recent years mean that AI is now a serious consideration for most organizations. When combined with high-performance computing (HPC) capabilities, its potential grows even stronger. However, converging the two approaches requires careful thought and planning. New AI initiatives must align with organizational strategy. Then AI workloads must integrate with your existing HPC infrastructure to achieve the best results in the most efficient and cost- effective way. This paper outlines the key considerations for organizations looking to bring AI into their HPC environment, and steps they can take to ensure the success of their first forays into HPC/AI convergence.
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     Intel
By: Intel     Published Date: Nov 14, 2019
You can migrate live VMs between Intel processor-based servers but migration in a mixed CPU environment requires downtime and administrative hassle A study commissioned by Intel Corp. One of the greatest advantages of adopting a adopting a public, private, or hybrid cloud environment is being able to easily migrate the virtual machines that run your critical business applications—within the data center, across data centers, and between clouds. Routine hardware maintenance, data center expansion, server hardware upgrades, VM consolidation, and other events all require your IT staff to migrate VMs. For years, one powerful tool in your arsenal has been VMware vSphere® vMotion®, which can live migrate VMs from one host to another with zero downtime, provided the servers share the same underlying architecture. The EVC (Enhanced vMotion Compatibility) feature of vMotion makes it possible to live migrate virtual machines even between different generations of CPUs within a given architecture.
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     Intel
By: Intel     Published Date: Nov 13, 2019
Intel® Select Solutions for BigDL on Apache Spark* accelerates and simplifies deep learning development and deployment on an optimized, verified infrastructure based on Apache Spark*. Intel® Select Solutions for BigDL on Apache Spark* combine Intel® Xeon® Gold processors, Intel® SSDs, and Intel® Ethernet Network Adapters to empower enterprises to quickly harness a reliable, comprehensive solution that delivers excellent total cost of ownership (TCO) and accelerated time to market.
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     Intel
By: Intel     Published Date: Nov 13, 2019
The combination of the SAP HANA platform and Intel® Optane™ DC persistent memory means that enterprises now have new ways to approach data tiering and management. Downtime can be significantly reduced because SAP HANA doesn’t have to reload data back into main memory after a server reboot, and more data can remain in the “hot” tier of main memory, which increases the amount of data that can be analyzed at a time. See this new infographic for a quick summary. Intel® Optane™ DC persistent memory also benefits SAP HANA by providing a higher memory density than DRAM, in addition to being byte-addressable. Up to three terabytes of Intel® Optane™ DC persistent memory is available per CPU socket on systems configured with future Intel® Xeon® Gold processors and future Intel® Xeon® Platinum processors, which means that an eight-socket server can contain up to 24 terabytes of Intel® Optane™ DC persistent memory.
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     Intel
By: Intel     Published Date: Nov 13, 2019
A modern network typically extends from the core data center out to the edge and across multiple public, private, and hybrid clouds. This reality is changing how networks are architected, deployed, and managed. Modern, future-ready networks must bring the scale, reliability, and efficiency associated with the cloud into the enterprise network. This can be done through server-based network virtualization and orchestrated virtual network functions (VNFs) that allow network infrastructures to deliver innovative services with efficiency and ease
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     Intel
By: Workday     Published Date: Nov 12, 2019
Workday Financial Management delivers the rich data you need to improve operations and empower your teams. View the extended demo to learn how Workday: • Boosts your operational intelligence with actionable analytics • Enables you to keep up with regulatory changes • Improves controls and simplifies processes
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     Workday
By: Dassault Systèmes     Published Date: Nov 11, 2019
What challenges do companies have to face today? How can they successfully digitize their production? Not only connectivity, artificial intelligence and flexible automation play an important role. When it comes to the strategy and implementation of digital manufacturing, the same missteps are often made. In order to capture and preserve the value of digital technologies, there are six essential factors to consider. Learn more and download the McKinsey report "6 factors for a successful digital manufacturing transformation”.
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     Dassault Systèmes
By: Dassault Systèmes     Published Date: Nov 11, 2019
Wie sieht die Zukunft der Fertigung aus? Hersteller müssen heutzutage stärker integriert und agiler sein denn je. Mit dem 3DEXPERIENCE Twin können Hersteller Fertigungsanlagen, Produkte und Verfahren modellieren, noch bevor der reale Prozess oder das Produkt überhaupt existiert. Der 3DEXPERIENCE Twin verbindet die virtuelle und die reale Welt für mehr Innovation und Effizienz in der Fertigung. Das eBook von Dassault Systèmes vermittelt Ihnen die wichtigsten Herausfoderungen der zukünftigen Fertigung und zeigt auf, wie diese durch eine intelligente Fabrik gemeistert werden können.
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     Dassault Systèmes
By: Dassault Systèmes     Published Date: Nov 11, 2019
Je größer Ihr Unternehmen ist, desto komplexer ist Ihre Supply-Chain. Vorhandene Ressourcen werden an ihre Grenzen gedrängt, um die steigende Nachfrage zu decken. Ihre Kunden werden keine Kompromisse eingehen und Sie müssen das auch nicht. Finden Sie heraus, wie Sie mit intelligenten Entscheidungen zur Kapazitätsplanung auch bei Unterbrechungen und schwierigen Betriebsbedingungen Ihre Erfüllungsrate konstant erreichen können.
Tags : kapazitätsplanung, nachfrageplanung, produktionsplanung, supply-chain-planung, supply-chain-optimierung, komplexität, nachfragesteuerung, integrierte planung
     Dassault Systèmes
By: Dassault Systèmes     Published Date: Nov 11, 2019
Die meisten Unternehmen nutzen eine einfache Form der Analyse: deskriptive Analytik. Diese betrachtet lediglich die Vergangenheit. Um wirklich wettbewerbsfähig zu bleiben, müssen Sie jedoch weitergehen. Gehen Sie den nächsten Schritt mit einer Supply-Chain, die intuitiv anhand der Realität Ihres Unternehmens lernt und so ein Maß an Präzision und Erkenntnis bietet das früher für unmöglch gehalten wurde. In unserem Leitfaden zur selbstlernenden Supply-Chain, erfahren Sie wie Sie mit Hilfe von Advanced Analytics: • Daten kontinuierlich erfassen, analysieren und aktualisieren können, um größtmögliche Genauigkeit zu erreichen • Intelligente und souveräne Entscheidungen für jeden Schritt in Ihrer Supply-Chain treffen können • Entscheidungen dreimal so effektiv umsetzen können
Tags : advanced analytics, deskriptive analytik, predictive analytics, big data, selbstlernende supply-chain, optimierung, planung, wettbewerbsvorteil
     Dassault Systèmes
By: Oracle EMEA     Published Date: Nov 11, 2019
Strategic thinking brings huge value to an organisation. But it requires time. Automation provides intelligent insights you can act on now. Watch our webinar, in which experts in market intelligence and innovation reveal the benefits of connected data.
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     Oracle EMEA
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