capability

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Published By: Intel     Published Date: Apr 11, 2019
The Internet of Things (IoT) unleashes valuable business insights through data that’s gathered at every level of a retail organization. With IoT and data analytics, retailers now have the capability to gather insight into customer behavior, offer more personalized experiences, achieve better inventory accuracy, create greater supply chain efficiencies, and so much more. But with data comes great risk. A recent report by security firm Thales and 451 Research found that 43 percent of retailers have experienced a data breach in the past year, with a third reporting more than one breach.1 Intel® technology-based gateways and Asavie, a provider of next-gen enterprise mobility management and IoT connectivity solutions, offer a security connectivity solution that minimizes the effort and cost to businesses to ensure safety from cybersecurity attacks. In addition, the Intel/Asavie IoT solution provides retailers with a solid basis to build their smart, connected projects:
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Intel
Published By: Schneider Electric     Published Date: Mar 28, 2019
To win the colocation race you need to be faster, reliable, innovative and efficient –all while making smarter design choices that will ensure positive returns. Customers are demanding 100% uptime and always-on connectivity –be it small enterprises to large Internet Giants–and colocation providers need to meet these expectations. The growing adoption of prefabricated data centers allows just that. With the undisputed benefits of prefab modules and building components(like speed or quality),colocation providers can manage their business today, and deploy faster in the future. Chris Crosby, CEO for Compass Datacenters, is well-known for his expertise in the data center industry. From its founding in 2012, Compass’ data center solutions have used prefabricated components like exterior walls and power centers to deliver brandable, dedicated facilities for colocation providers. Prefabrication is the central element of the company’s “Kit of Parts” methodology that delivers customizable data center solutions from the core to the edge. By attending this webinar, colocation providers will: • understand the flexibility and value delivered via the use of prefabricated construction • Hear the common misperceptions regarding prefabricated modules and data center components • learn how prefabricated solutions can provide more revenue generation capability than competing alternatives • know what key things to consider when evaluating prefabricated data center design
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data centers, colocation provider, schneider electric, - modular data centers, prefabricated data center
    
Schneider Electric
Published By: ServiceNow     Published Date: Mar 13, 2019
Behind every successful CMDB deployment is a detailed configuration management plan for implementing, designing, and sustaining a configuration management capability. Learn the 4 key stages to deploying a healthy CMDB with this ebook including real-life examples that you can put into practice today.
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ServiceNow
Published By: Anaplan     Published Date: Mar 12, 2019
In this paper learn how RSA Group shortened their FP&A process by 4 months. With a 300-year heritage, RSA Group is one of the world’s leading insurance groups. The company, which has over 20,000 employees in its core markets of the U.K., Scandinavia, and Canada, focuses on general insurance and has the capability to write business across the globe. Late one night, after the team had already been planning nonstop for weeks, one of Andrew Dinwiddie’s colleagues slammed his fists down on his desk and said, “Surely, this can be easier; surely, we can ind a solution to make this a less intense process.” It was that outburst of frustration that triggered Andrew and his team to look for different solutions to their inancial planning needs and ultimately led them to the Anaplan platform.
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Anaplan
Published By: Oracle     Published Date: Mar 01, 2019
The transition to autonomous is all around. Its capability for problem-solving has never been seen before. Its potential for creating business value from algorithms and data makes it the next big frontier for business leaders. Two industry experts have discussed Oracle Autonomous Data Warehouse Cloud and what it can help organisations achieve. Talking about innovation,security and efficiency, they put the case for an autonomous future. Watch the webinar.
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Oracle
Published By: 3D Systems     Published Date: Feb 28, 2019
3D printing emerged as a prototyping technology in the 1980s, and has been rapidly evolving ever since. The ongoing developments of the last few decades have transformed 3D printing (also called additive manufacturing), into a viable and cost-effective technology throughout the production environment: from prototyping, to production enablement, to direct 3D production. Companies that utilize 3D printing can attain and cement a leadership position in their industry through the time, cost, and capability advancements 3D printing makes possible. This ebook provides an overview of the 3D printing technology and material advancements in 3D Systems’ plastic additive manufacturing that extend the addressable range of production applications.
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3D Systems
Published By: StreamSets     Published Date: Feb 13, 2019
Enterprise analytics has quickly evolved from a centralized business intelligence function for historical reporting and dashboards to a democratized capability where anyone can access, analyze and act on all available information, often in real-time while employing advanced techniques. But the complex, dynamic and urgent nature of modern data analytics demands a new approach to data integration.
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StreamSets
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: Cisco     Published Date: Jan 03, 2019
This IDC study represents the vendor assessment model called the IDC MarketScape. This research is a quantitative and qualitative assessment of the characteristics that explain a vendor's chances for present and future success worldwide. This study assesses the capability and business strategy of 12 global enterprise videoconferencing vendors. This evaluation is based on a comprehensive framework and a set of parameters expected to be most conducive to success in providing enterprise videoconferencing solutions, for both the short term and the long term.
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Cisco
Published By: Oracle     Published Date: Dec 21, 2018
The transition to autonomous is all around. Its capability for problem-solving has never been seen before. Its potential for creating business value from algorithms and data makes it the next big frontier for business leaders. Two industry experts have discussed Oracle Autonomous Data Warehouse Cloudand what it can help organisations achieve. Talking about innovation, security and efficiency, they put the casefor an autonomous future.
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Oracle
Published By: Group M_IBM Q418     Published Date: Dec 18, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does.
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Group M_IBM Q418
Published By: Group M_IBM Q119     Published Date: Dec 18, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does.
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Group M_IBM Q119
Published By: StreamSets     Published Date: Dec 05, 2018
Enterprise analytics is quickly evolving into a democratized capability where anyone can access and act on all available information, often in real-time employing advanced techniques. But the complex, dynamic and urgent nature of modern data analytics demands a new approach to data integration. This paper proposes that DataOps, the application of DevOps practices to data analytics, is the best way to overcome these challenges to create an iterative build-operate process for data movement. Read this white paper to: Understand how modern data analytics create data integration challenges due to architectural complexity, operational blindness and data drift. Learn how DevOps pillars of automation and monitoring can create higher developer productivity, operational efficiency and business confidence in data. See specific examples of DataOps functionality being applied to data integration across modern architectures.
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StreamSets
Published By: CrowdStrike     Published Date: Nov 28, 2018
While many organizations are guarding the front door with yesterday’s signature-based antivirus (AV) solutions, today’s unknown malware walks out the back door with all their data. What’s the answer? This white paper, “The Rise of Machine Learning in Cybersecurity,” explains machine learning (ML) technology — what it is, how it works and why it offers better protection against the sophisticated attacks that bypass standard security measures. You’ll also learn about CrowdStrike’s exclusive ML technology and how, as part of the Falcon platform’s next-gen AV solution, it dramatically increases your ability to detect attacks that use unknown malware. Download this white paper to learn: • How different types of ML are applied in various industries and why it’s such an effective tool against unknown malware • Why ML technologies differ and what factors can increase the accuracy and effectiveness of ML • How CrowdStrike’s ML-based technology works as part of the Falcon platform’s next-gene
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CrowdStrike
Published By: MuleSoft     Published Date: Nov 27, 2018
The world of retail is changing dramatically. Retailers used to have anonymous, transactional relationships with their customers; but now both retailers and customers want a deeper relationship. The retailers that win today are the ones that use technology to build those personal customer experiences and transform their digital retail experience. However, it isn’t always easy to implement new solutions with existing systems. Read this eBook to discover: Why existing approaches are not sufficient for the pace of digital transformation that retail demands How to drive technology change in your organization, creating a greater capability to innovate and transforming the digital retail experience for your customers How to adopt an API-led approach to integration that packages underlying connectivity and orchestration services as easily discoverable and reusable building blocks
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MuleSoft
Published By: Group M_IBM Q418     Published Date: Nov 20, 2018
Understanding how to optimize Omni-Channel Order Management is key to your business’ success. Today, consumers want seamless possibilities for selecting and receiving new products and services. Intelligent order management systems allows brands and retailers to make informed decisions on how to profitably satisfy customer expectations. It’s not just about understanding what you are offering in the present, but transparency and greater understanding of each aspect that impacts your inventory, fulfillment network, and capability to deliver across your channels.
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Group M_IBM Q418
Published By: T Systems     Published Date: Nov 19, 2018
If only there was a whitepaper that could explain how digitalization is changing the retail landscape while advising retailers on how they can embrace this driving force to excel in the industry. Here at T-Systems, we have produced a whitepaper that provides a detailed look into what is required for your retail business to succeed in the digital age. Our ‘Shaping Retail’s Future, Understanding & Delighting Customers in The Digital Era’ provides you with the means to safely navigate and prosper from the effect that digitization is having upon the industry. In a retail world that demands engaging with an ever more sophisticated level of consumer, those whom exhibit less brand loyalty year-on-year – the window for error has become decisively small. Our whitepaper enables your business to identify your digital needs for more effective retail operations by asking critical questions to reveal and plug your capability gaps. We examine the importance of developing the right omnichannel strateg
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retail, sales, whitepaper, t-systems, omnichannel, data analytics, touchpoints, digitization, iot
    
T Systems
Published By: Cognizant     Published Date: Oct 23, 2018
The implications of AI’s unique approach are profound: AI can learn by example rather than through brute-force programming; can understand human intention and emotions and act accordingly; and can handle extraordinarily complex relationships of data that are beyond the capability of human analysts working alone. AI can multiply what we currently do and take us to experiences we’ve never had before, at a speed and scale that will change entire industries. In these case studies, we’re pleased to present a range of real-world examples to guide your imagination. Here, you’ll find situations where companies like yours found AI to be part of the solution. These examples show how AI can enhance an existing application, workflow or process and reduce friction. This e-book presents how 10 organizations are using artificial intelligence to accelerate decision making, improve business processes, enhance user engagement, reduce costs and drive remarkable growth and profitability.
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cognizant, artificial intelligence
    
Cognizant
Published By: ServiceNow     Published Date: Oct 22, 2018
Behind every successful CMDB deployment is a detailed configuration management plan for implementing, designing, and sustaining a configuration management capability. Learn the 4 key stages to deploying a healthy CMDB with this ebook including real-life examples that you can put into practice today.
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cmdb, deployment, management, servicenow
    
ServiceNow
Published By: Dell     Published Date: Sep 24, 2018
The top data protection mandates from IT leaders are focused on improving the fundamental reliability and agility of the solution(s) in use. The mandate that follows closely behind is cost reduction, which is also seen as a top priority among data protection implementers. These challenges should not be seen as contradictory or mutually exclusive; in fact, they can all be addressed by improved data protection solutions that are engineered as much for efficiency as they are for reliability and capability.
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economic, value, data, domain, idpa
    
Dell
Published By: Kronos     Published Date: Sep 24, 2018
Selecting and implementing a software solution like an ERP or workforce management solution that touches multiple parts of the organization is never easy. It is a significant investment of money, time, and resources. But in the end, the capability, efficiency, and savings of both time and money make the effort well worth it. Particularly in the public sector, the sooner you can achieve a return on any investment, the better.
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Kronos
Published By: Salesfusion     Published Date: Sep 20, 2018
Salesfusion is transforming how mid-market businesses engage audiences and measure marketing success. Our marketing automation platform is purpose-built for mid-sized companies. It is designed to include all of the features you need in a single platform that is both broad and deep in capability. We obsessed about the platform design to ensure it is easy to use with drag and drop interfaces for email, landing page, and form builders, and Salesfusion is the only marketing automation platform to include a comprehensive Business Intelligence module.
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Salesfusion
Published By: CA Technologies EMEA     Published Date: Sep 14, 2018
The misuse or takeover of privileged accounts constitutes the most common source of breaches today. CA Threat Analytics for PAM provides a continuous, intelligent monitoring capability that helps enterprises detect and stop hackers and malicious insiders before they cause damage. The software integrates a powerful set of user behavior analytics and machine learning algorithms with the trusted controls provided by CA Privileged Access Manager (CA PAM). The result is a solution that continuously analyzes the activity of individual users, accurately detects malicious and high-risk activities and automatically triggers mitigating controls to limit damage to the enterprise.
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CA Technologies EMEA
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
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Group M_IBM Q418
Published By: Anaplan     Published Date: Sep 07, 2018
The concept of integrated business planning — closing gaps in an organization’s various planning functions and aligning operations and strategy with its inancial performance — has existed in various forms for decades. What has changed is creation of planning platforms that can handle the luidity of data to erase silos and enterprise borders where once there were multiple geographies, departments, time zones, languages and currencies. All elements of business are managing the avalanche of information coming to them. Just like connecting disparate people, we also must connect data that resides in various systems, applications and tools.
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Anaplan
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