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Published By: Inside HPC Media LLC     Published Date: Sep 24, 2019
The 2019 version of High Performance Computing (HPC) has changed considerably from previous years’. Most notably, advancements in Artificial Intelligence (AI) has given rise to data-centric applications in machine learning. Machine learning often relies on HPC technologies, particularly in the early training phase, and in many cases, machine learning initiatives share infrastructure, budgets, and personnel with established HPC installations. A 2018 Intersect360 Research study found that the majority of experienced HPC users had also embarked on machine learning applications, usually overlapping HPC and AI.
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Inside HPC Media LLC
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: Expert System     Published Date: Jul 18, 2019
Although computers are better when it comes to processing and making calculations, they haven’t been able to accomplish some of the most basic human tasks, until now. Thanks to cognitive computing, machines are bringing human-like intelligence to many business applications, including big data. So, what is cognitive computing? According to Forbes, “cognitive computing comes from a mashup of cognitive science—the study of the human brain and how it functions—and computer science.” This definition is a good place to start. However, to really understand what cognitive computing is, we have to go a little deeper.
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Expert System
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: Pure Storage     Published Date: Jul 03, 2019
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 specifi cally to work with high-powered analytics.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Deep learning opens up new worlds of possibility in artificial intelligence within the Financial Services industry, 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: 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: Group M_IBM Q2'19     Published Date: May 23, 2019
Defense and intelligence agencies want to leverage the data they collect so they can use artificial intelligence to enhance readiness – but most who run these programs don’t know how to get started and find it difficult to make the business case to their leadership. In this research report, created by GovLoop in partnership with IBM, which provides innovative technology solutions for national security and military intelligence, you’re going to learn where your peers stand—and some practical tips on how to get started—even if you think your data is “dirty” or not ready for advanced applications.
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Group M_IBM Q2'19
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: Motorola Solutions     Published Date: Apr 26, 2019
In today’s competitive marketplace, an unexpected outage can easily lead to missed deadlines, frustrated customers, reduced orders, and debilitating long-term damage to your business. In the constant battle to minimize downtime and eliminate waste, a unified Team Communications platform can be an invaluable weapon. Motorola Solutions is here to help. Our Team Communications solution takes push-to-talk (PTT) beyond the boundaries of radio, allowing your employees to communicate instantly, from anywhere, and from any device, all while leveraging intelligence from a wide range of applications. Help your business succeed, keep your employees safe from harm, and ensure production lines remain in constant motion by connecting your entire facility with voice and data.
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Motorola Solutions
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.
Tags : 
    
Pure Storage
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.
Tags : 
    
Pure Storage
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
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.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
IDC strongly believes that the days of homogenous compute, in which a single architecture dominates all compute in the datacenter, are over. This truth has become increasingly evident as more and more businesses have started to launch artificial intelligence (AI) initiatives. Many of them are in an experimental stage with AI and a few have reached production readiness, but all of them are cycling unusually fast through infrastructure options to run their newly developed AI applications and services on.
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Group M_IBM Q2'19
Published By: Flexera     Published Date: Feb 19, 2019
Flexera’s Software Vulnerability Research allows effective reduction of the attack surface for cybercriminals, providing access to verified vulnerability intelligence from Secunia Research covering all applications and systems across all platforms. It drives a prioritized remediation process by handling vulnerability workflows, tickets and alerts, and describes the steps to mitigate the risk of costly breaches. You Don’t Know What You Don’t Know It’s hard for enterprise security analysts to get reliable and trusted information about software vulnerabilities and then identify and filter that data for just the products that matter to their organization. Those challenges lead to wasted time and effort. Learn more.
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Flexera
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: 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: Visier     Published Date: Jan 25, 2019
John Schwarz founded Visier to address what he saw as the major failing of business intelligence and big data analytics. He had a front row seat in this market while leading Business Objects, the largest global business intelligence provider (acquired by SAP). John and co-founder Ryan Wong’s vision was to completely reinvent the approach to analytics, providing instant and complete, domain-specific applications to business leaders, answering their important strategic questions and leading them to adopt best management practices. Their applied business analytics project is working. Today, more than a hundred blue chip companies have selected Visier as their people strategy platform and are achieving incredible results. And that’s just the beginning.
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Visier
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: Group M_IBM Q418     Published Date: Dec 18, 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.
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Group M_IBM Q418
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