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Published By: CyberSource     Published Date: Apr 25, 2019
Download this white paper to find out how you could augment your fraud management with Decision Manager machine learning insights from more than 68 billion annually processed Visa and CyberSource transactions – matched with flexible rules-based fraud strategies. • Detect fraud more accurately with robust data and insights on ever-changing fraud patterns • Protect your bottom line by reducing fraud and chargebacks • Increase acceptance rates with the only fraud solution that uses machine learning to generate and test new rules-based strategies from your historic data …and more.
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CyberSource
Published By: MalwareBytes EMEA     Published Date: May 10, 2019
INDUSTRY Education BUSINESS CHALLENGE Protect student data from threats posed by malware on teachers’ MacBook laptops IT ENVIRONMENT Avast antivirus, enterprise network security layers SOLUTION Malwarebytes Incident Response RESULTS Removed PUPs and malware from hundreds of Mac systems in just minutes Delivered instant visibility into connected systems and quarantined malware Reduced risk with ability to proactively detect and remediate threats
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MalwareBytes EMEA
Published By: ServiceNow     Published Date: May 14, 2019
Learn how ServiceNow has been applying machine learning and analytics with AIOps to help you cut through event noise to create actionable signals, identify service outages and degradations, remediate service and infrastructure issues accurately, and drive continuous improvement in service quality
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ServiceNow
Published By: Nice Systems     Published Date: Feb 26, 2019
NICE has made a significant investment into AI and ML techniques that are embedded into its core workforce management solution, NICE WFM. Recent advancements include learning models that find hidden patterns in the historical data used to generate forecasts for volume and work time. NICE WFM also has an AI tool that determines, from a series of more than 40 models, which single model will produce the best results for each work type being forecasted. NICE has also included machine learning in its scheduling processes which are discussed at length in the white paper.
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Nice Systems
Published By: Schneider Electric     Published Date: Apr 23, 2019
After buzzing Industry 4.0 all over the media by all OT and IT experts, today, a few key concepts seem to unveil the potential that the industry believes is behind Industry 4.0. These include: Smart Machines, Smart Factory, cyber physical systems, Everything-as-a-Service and a few technologies like OPC UA, cloud and data analytics. Clearly, they are the innovation drivers and must-haves for every vendor of automation products that want to be recognized as leaders or challengers. Sooner or later they will become standards and used by followers and niche players, but the key question for the market of automation suppliers is not who is first in developing and providing all the nice concepts and technologies, but who is creating and combining them in the right way so that they can be turned into new revenue streams. We keep in mind that competitive advantages can be achieved through increasing operational efficiency, but the better way is through strategic uniqueness. Companies which ar
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industry 4.0, iiot, smart machines, smart manufacturing, business models
    
Schneider Electric
Published By: Schneider Electric     Published Date: Apr 23, 2019
Schneider Electric surveyed over 400 worldwide machine builders and factory end users in 2015. The questions they answered all centered around what their machines and plants would need to look like in 2020 if their businesses were to sustain growth and boost productivity. Their feedback has shaped (and will continue to shape) Schneider Electric digitized solution investments. Key requirements identified included: • Tools that could accommodate a younger, less skilled, and less experienced workforce • A need for simpler integration through open software connectivity and more open field buses • A need for whole lifecycle support of the products they purchase Read this eBook to see answers to some of these identified key points from those surveyed.
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machine, digitization, industry 4.0, business models, smart machines
    
Schneider Electric
Published By: Schneider Electric     Published Date: Apr 23, 2019
The supply chain for manufacturers and distributors is facing challenges around increased analytics, multichannel fulfillment, talent shortages, and the use of new technologies such as wireless, augmented reality, robotics and machine-to-machine (M2M). At the same time, there is continued focus on cost reduction and sustainability. The Industrial Internet of Things is driving a huge transformation as it increases the interconnection between connected devices and analytics. The smart manufacturing enterprise can seize opportunities to maximize efficiency and safety through networking and intuitive collaboration with its users. This eBook shares practical steps to follow for a smart material handling and logistics approach.
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material handling, logistics, conveying
    
Schneider Electric
Published By: Equinix EMEA     Published Date: May 17, 2019
La guía digital para pagos y comercio describe cómo los líderes de la industria están transformando su ventaja digital para aprovechar una cadena de valor basada en el ecosistema y obtener información en tiempo real y una experiencia fluida. Nuestra estrategia simple de tres pasos ofrece las mejores prácticas comprobadas sobre cómo rediseñar su presencia, integrar las capacidades cloud y SaaS y facilitar nuevas ofertas basadas en la colaboración interconectada.
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Equinix EMEA
Published By: Amazon Web Services EMEA     Published Date: Apr 16, 2019
Whether you are part of a community hospital or global pharmaceutical company, Amazon Web Services (AWS) can help you add agility, improve collaboration and security, create an environment of experimentation, and drive new technological innovation.
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cloud computing, public sector, aws, healthcare, amazon web services
    
Amazon Web Services EMEA
Published By: Workday APAC     Published Date: May 08, 2019
As your organization’s finance leader, the opportunity to better understand the landscape and your business has never been greater. Advances in analytics—powered by digital technologies, such as automation and machine learning—give finance teams deeper business insights. Read the story.
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Workday APAC
Published By: IBM APAC     Published Date: May 14, 2019
Machine Learning For Dummies, IBM Limited Edition, gives you insights into what machine learning is all about and how it can impact the way you can weaponize data to gain unimaginable insights. Your data is only as good as what you do with it and how you manage it. In this book, you discover types of machine learning techniques, models, and algorithms that can help achieve results for your company. This information helps both business and technical leaders learn how to apply machine learning to anticipate and predict the future. You will find topics like: - What is machine learning? - Explaining the business imperative - The key machine learning algorithms - Skills for your data science team - How businesses are using machine learning - The future of machine learning
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IBM APAC
Published By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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Group M_IBM Q2'19
Published By: CheckMarx     Published Date: Apr 03, 2019
Artificial Intelligence (AI) software is everywhere being leveraged by many industries such as healthcare, fintech, and e-commerce. But how does AI impact the security space? Join Maty Siman, Checkmarx Founder and CTO, to get both a white hat and black hat perspective to AI and security.
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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: Anaplan     Published Date: Apr 09, 2019
Connected organizations collaborate across business functions to dynamically steer business performance. Previous generations of planning software have fallen short of this vision, making collaboration difficult to achieve, scattering data across multiple sources, and providing inflexible planning models that require heavy IT support. This landscape motivated Anaplan to develop an innovative platform that enables Connected Planning across the entire enterprise. The FSN Innovation Showcase highlights three major innovations that support these objectives: • Anaplan’s proprietary Hyperblock® technology • The App Hub, a suite of 250+ industry-leading solutions • Developments in machine learning and artificial intelligence
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Anaplan
Published By: Motorola Solutions     Published Date: Apr 26, 2019
Healthcare organizations have the ultimate responsibility: caring for human lives. Your teams work every day to make sure the patients in your organization receive the best care and achieve patient satisfaction in a non-stop and unpredictable environment. Your facility faces security challenges unlike any other enterprise. Patients, visitors and staff coming and going 24x7. Valuable assets like pharmaceuticals and medical equipment to be secured and monitored. Patients to be cared for and protected.
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Motorola Solutions
Published By: Pure Storage     Published Date: Apr 15, 2019
This year, businesses will increasingly turn to AI to power their business transformation. Machine learning and deep learning workloads are quickly becoming a mission-critical workload in the enterprise data center. As an IT leader, are you ready for the impending wave of AI applications that will demand new approaches to computing, storage and networking? Do you have the right strategy for scaling AI workload in your data center? We’ll introduce you to the IT visionaries who have made it happen. In this webinar we’ll explore how one IT leader accelerated his company’s success with an AI infrastructure strategy, sharing their best practices and insights. By watching this webinar, you'll learn: - Why it’s now critical for enterprise IT to have an AI infrastructure strategy that supports the business - Explore one IT leader’s experience developing and implementing a best-of-breed platform for scaling AI workload in the data center - Gain insights that can drive your AI infrastructur
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Pure Storage
Published By: Fusion 360     Published Date: Sep 11, 2012
This walks you through the differences between the two types of macular degeneration: wet and dry.
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Fusion 360
Published By: Astaro     Published Date: Jan 19, 2011
Botnets are based on similar principles as legitimate clouds, but serve malicious business interests. Find out more about how botnets work and the right steps after having detected infected machines within your own network.
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astaro, cloud computing, botnets, network, security
    
Astaro
Published By: StoryDesk     Published Date: Mar 28, 2012
How can you use the iPad in your organization? What's the formula for a successful iPad deployment? What do you need to know about regulatory requirements, security, HTML5, and custom apps?
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emerging marketing, enterprise applications, sales
    
StoryDesk
Published By: Cisco     Published Date: Mar 22, 2019
Artificial intelligence (AI) and machine learning (ML) are emerging technologies that will transform organizations faster than ever before. In the digital transformation era, success will be based on using analytics to discover the insights locked in the massive volume of data being generated today. Historically, these insights were discovered through manually intensive data analytics—but the amount of data continues to grow, as does the complexity of data. AI and ML are the latest tools for data scientists, enabling them to refine the data into value faster.
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Cisco
Published By: Dell SB     Published Date: Mar 11, 2019
Die Dell Precision Reihe mit Intel® Prozessor bietet vielseitige Designs, Spitzenleistung und Zuverlässigkeit, um auch die anspruchsvollsten Anwendungen der Branche zu meistern. Von preisgekrönten Filmemachern und Animatoren bis zu Architekten und Ingenieuren bietet unser umfangreiches Portfolio die passende Workstation für Ihre kreative Schaffenskraft.
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Dell SB
Published By: Entrust Datacard     Published Date: Mar 20, 2017
As digital business evolves, however, we’re finding that the best form of security and enablement will likely remove any real responsibility from users. They will not be required to carry tokens, recall passwords or execute on any security routines. Leveraging machine learning, artificial intelligence, device identity and other technologies will make security stronger, yet far more transparent. From a security standpoint, this will lead to better outcomes for enterprises in terms of breach prevention and data protection. Just as important, however, it will enable authorized users in new ways. They will be able to access the networks, data and collaboration tools they need without friction, saving time and frustration. More time drives increased employee productivity and frictionless access to critical data leads to business agility. Leveraging cloud, mobile and Internet of Things (IoT) infrastructures, enterprises will be able to transform key metrics such as productivity, profitabilit
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Entrust Datacard
Published By: OPTIS     Published Date: Sep 22, 2015
This white paper provides manufacturers with an outline of the latest developments in lean machining and how they are helping to achieve the ideal of Lights Out machining.
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OPTIS
Published By: SAP     Published Date: Sep 28, 2018
The Industrial Machinery industry is changing slower than it ever will and faster than it ever has. And customer demands are evolving at speeds never seen before. For companies serious about innovating at scale and transforming their business in order to dominate their market, it will take innovative thinking, disruptive technology and near flawless execution. This challenge, perhaps best described as the perfect blend of art and science, is more than achievable, but only if you have the right partner. Which is why we want you to meet Leonardo, by SAP. SAP Leonardo is a digital innovation system that enables organizations of all sizes to transform at scale with minimal risk and disruption. SAP Leonardo brings new technologies and services together to help businesses power their digital transformation. SAP Leonardo proves that truly transformative and sustainable innovation happens when technology, people, and data are combined.
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customer experience & engagement, digital transformation, sap
    
SAP
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