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Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
The bar for success is rising in higher education.  University leaders and IT administrators are aware of the compelling benefits of digital transformation overall—and artificial intelligence (AI) in particular. AI can amplify human capabilities by using machine learning, or deep learning, to convert the fast-growing and plentiful sources of data about all aspects of a university into actionable insights that drive better decisions. But when planning a transformational strategy, these leaders must prioritize operational continuity. It’s critical to protect the everyday activities of learning, research, and administration that rely on the IT infrastructure to consistently deliver data to its applications.
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Hewlett Packard Enterprise
Published By: Cisco EMEA     Published Date: Nov 08, 2018
Digital transformation (DX) — a technology-driven business strategy — enables firms to gain or expand their competitive differentiation by embracing data-driven decision-making processes, whether for increasing operational efficiencies, developing new products and services, increasing customer satisfaction and retention, or getting a better intelligence on the market. Big Data and analytics (BDA) applications form the foundation for enterprisewide digital transformation initiatives. To find out more download this whitepaper today.
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Cisco EMEA
Published By: HPE     Published Date: Mar 23, 2015
With new technologies, new opportunities often emerge, especially in business. The advent of innovations, such as social media and mobile devices, is changing the ways businesses interact with customers and the ways in which customers desire to be engaged. Opportunities arising from the benefits of salesforce automation, business intelligence (BI), and customer relationship management (CRM) applications are providing new levels of insight, helping businesses acquire customers more efficiently and retain those customers longer. As a direct result, organizations that invest in better understanding potential customers are likely to see higher returns than those organizations that possess a more limited understanding of their customer base. Seeking the competitive advantage resulting from improved customer focus, IT organizations have increased investment in business intelligence and analytics and the underlying infrastructure to support those applications.
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HPE
Published By: Dell EMC     Published Date: Feb 14, 2019
Artificial intelligence (AI) is a transformative technology that will change the way organizations interact and will add intelligence to many products and services through new insights currently hidden in vast pools of data. In 2017 alone, venture capitalists invested more than $11.7 billion in the top 100 Artificial Intelligence startups, according to CB Insights1, and the breadth of Artificial Intelligence applications continues to grow. While human-like intelligence will remain the stuff of novels and movies for the near future, most organizations can and should explore practical Artificial Intelligence projects. This technology has the potential to: • Improve productivity of internal applications • Increase revenue through enhanced customer interacton and improved customer acquisiiton • Reduce costs by optimizing operations • Enhance products and services with "smart" functionality such as vision and voice interaction and control This paper provided by Dell and Intel® gives executi
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Dell EMC
Published By: Pure Storage     Published Date: Apr 10, 2019
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly, and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
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Pure Storage
Published By: CA Technologies EMEA     Published Date: Sep 30, 2018
If you’re relying on manual processes for testing applications, artificial and automated intelligence (AI) and machine learning (ML) can help you build more efficient continuous frameworks for quality delivery. In this on-demand webinar, “Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices,” you’ll learn how to: Use AI and ML as the new, necessary approach for testing intelligent applications. Strategically apply AI and ML to your testing practices. Identify the tangible benefits of continuous intelligent testing. Reduce risk while driving test efficiency and improvement. This webinar offers practical steps to applying AI and ML to your app testing. The speaker, Jeff Scheaffer, is senior vice president and general manager of the Continuous Delivery Business Unit at CA Technologies. His specialties include DevOps, Mobility, Software as a Service (SaaS) and Continuous Delivery (CDCI).
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continuous delivery, application delivery, testing, test data management
    
CA Technologies EMEA
Published By: Intapp     Published Date: Jan 09, 2019
Intapp Time provides superior business intelligence thatchangesyour firm’sfundamental relationship with time.Thisunified suite of applications gives timekeepers access to time data and capture wherever they are: in the office, on a mobile device, online and offline.It is user-centric, offering a completely automated option while fullysupporting hands-on tracking—contemporaneous or reconstructionist.Intapp Time helps your business mine time data to reveal new sources of revenue, inform staff decisions, increase project efficiency, and reduce time leakage.
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business, business intelligence, time, tax, time for tax, intapp, applications, time data
    
Intapp
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
    
Intapp
Published By: Larsen & Toubro Infotech(LTI)     Published Date: Sep 17, 2019
US based automobile had multiple ServiceNow instances across multiple companies along with non-standardization of tools and processes. LTI helped in implementing end to end ServiceNow modules including ITSM, ITOM: Orchestration + Event Management thereby achieving high scalability in integrated processes across globe.
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application management, artificial intelligence, b2b technology, cloud applications, cloud architect
    
Larsen & Toubro Infotech(LTI)
Published By: Larsen & Toubro Infotech(LTI)     Published Date: Sep 17, 2019
i. Brief – US based automobile had no asset management and CMDB discovery which lead to longer procurement lifecycles. LTI implemented end to end ServiceNow and operational support using global delivery model. Also helped in optimising integrations after reviewing license consumptions which then helped in reducing the process implementation to mere 2.5 months ii. Benefits 1. Hybrid process governance helped reduction in TCO by 25% 2. Reduction in number of licenses by 20% using integration with SharePoint
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application management, artificial intelligence, b2b technology, cloud applications, cloud architect
    
Larsen & Toubro Infotech(LTI)
Published By: Larsen & Toubro Infotech(LTI)     Published Date: Sep 17, 2019
US based Media & Entertainment giant had challenges in multiple integration of 3rd party tools. LTI helped in implementing end to end ServiceNow modules and integration of multiple 3rd party tools like Verizon, Sharepoint, Table API etc which thereby provided higher adoption of portal with enhanced user experience.
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application management, artificial intelligence, b2b technology, cloud applications, cloud architect
    
Larsen & Toubro Infotech(LTI)
Published By: Larsen & Toubro Infotech(LTI)     Published Date: Sep 17, 2019
Nordics based financial company had challenges in migrating the old legacy network design to Cisco ACI for a new Datacentre. Also it did not had service overview and CMDB to support 150 business services transition. LTI leveraged and implemented several ServiceNow modules, customised 100 odd patterns for 150 business services and executed extensive integration of 25 legacy systems. These transactions and implementation helped in easy cost computation for new business expansions ii. Benefits 1. 25% reduction in DC migration time by creating business service oriented move groups 2. Accurate costing of each business service for replication in new regions/geographies
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application management, artificial intelligence, b2b technology, cloud applications, cloud architect
    
Larsen & Toubro Infotech(LTI)
Published By: Pure Storage     Published Date: Jan 12, 2018
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifically to work with high-powered analytics.
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data, deep learning, automated, intelligence, pure storage
    
Pure Storage
Published By: Akamai Technologies     Published Date: Mar 10, 2016
The web application firewall (WAF) is among the most complex security technologies on the market today. The complexity of managing a WAF includes a pre-defined list of rules to identify thousands of potential exploits, intelligence about new attack vectors, and identifying malicious HTTP requests from legitimate HTTP traffic. Read this white paper to learn how to combine attack detection with threat intelligence using our cloud platform and managed security services to better protect your web applications.
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akamai technology, web application security, http, best practices
    
Akamai Technologies
Published By: Gigamon     Published Date: Jun 10, 2019
Explosive data growth and network complexity hindering your ability to deliver results? We get it: the more complex the application infrastructure, the harder it is to ensure apps are functioning optimally. Read our new eBook, “Driving Digital Transformation with Application Intelligence,” to learn how to provide insight into applications across complex infrastructure. Discover previously hard-to-get information about bottlenecks, suspicious data, and user experience.
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Gigamon
Published By: Gigamon     Published Date: Jun 10, 2019
Gigamon Application Intelligence is a new, pioneering set of capabilities for getting the visibility and context needed to discover, monitor, and manage even complex, multi-tier applications at the heart of today’s digital transformation initiatives. Download our new Solution Brief, “Gigamon Application Intelligence: The Need for True Application Visibility” to learn more.
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Gigamon
Published By: Gigamon     Published Date: Jun 07, 2019
You know that complex microservices-based apps can be difficult to monitor, but did you know Application Intelligence provides both the visibility and the context needed to discover, manage and secure these apps? Download the Gigamon white paper “How to Gain Control of Complex Applications in the Time of Digital Transformation” to solve the challenges of capturing application traffic on the network, identifying apps and microservices, extracting information and metadata and distributing that information to tools.
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Gigamon
Published By: Pure Storage     Published Date: Apr 18, 2018
Deep learning opens up new worlds of possibility in artifi cial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifically to work with high-powered analytics.
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Pure Storage
Published By: HERE Technologies     Published Date: Jul 11, 2019
Supply chain managers are increasingly leveraging location intelligence and location data to raise visibility throughout their whole logistics process and to optimize their delivery routes. Leveraging this data requires an ever-more-robust technology stack. As supply chain technology stacks become more complex, diverse and defined by legacy system integrations, Application Program Interfaces (APIs) are becoming essential to making stacks scale, allowing supply chain managers to better meet the demands of the new generation of consumers. Innovative location APIs provide supply chain stacks and applications with: Greater agility Contextual intelligence Real-time data implementation Speed Scale Introducing new technology into an organization can sometimes be daunting. As one of the world’s leading location platforms, HERE shares insights and tips to streamline the supply chain technology integration across the whole organization.
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here technologies, supply chain, mapping
    
HERE Technologies
Published By: Workday     Published Date: Mar 09, 2018
Workday has been recognized by global market intelligence firm, IDC, as a Leader in the IDC MarketScape for Midmarket ERP applications. This report is a guide highlighting the most important criteria for midsize companies to considers when selecting a system. Being named a Leader also underscores the value that Workday brings customers ranging from mid-sized business to the world’s largest enterprises.
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market intelligence, midsize companies, global intelligence
    
Workday
Published By: Extreme Networks     Published Date: Feb 10, 2015
Dans cet eBook, nous vous présenterons des cas d’utilisation illustrant comment une solution d’analyse des applications peut être utilisée de manière efficace par le service informatique.
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extreme networks, purview, analyse des applications, sans fil, wifi, solution réseau, solution de business intelligence, business intelligence
    
Extreme Networks
Published By: Pure Storage     Published Date: Apr 10, 2019
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
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Pure Storage
Published By: MuleSoft     Published Date: Jan 25, 2016
APIs are a strategic business necessity, but with the rising cost of API security breaches, it's important to develop a security strategy alongside an API strategy. This whitepaper will lay out the top security concerns around APIs, how the IT industry is addressing them, and how Anypoint Platform, MuleSoft's enterprise application integration platform, can keep your APIs safe and secure.
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security, business metrics, best practices, business intelligence, enterprise applications
    
MuleSoft
Published By: IBM     Published Date: Sep 11, 2017
This book is written for readers who have varying levels of familiarity with ODM. It doesn’t focus on any particular vendor’s offering; instead, it talks about the features of ODM as a model for managing operational decision-making. This book isn’t about offline business intelligence systems. While those systems are very valuable, the focus of this book is on automated decisions that can be executed in real time in conjunction with your business applications and processes.
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odm, management, operation-decision making, intelligence systems
    
IBM
Published By: IBM     Published Date: Jul 02, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy. IDC believes that this emerging environment is to date still highly undefined, even as businesses must make critical decisions. Should businesses develop in-house or use VARs, systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some hybrid form? Can they use existing infrastructure, or do AI applications and deep learning require new servers with new capabilities? We believe that many of these questions can be
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IBM
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