application data

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Published By: Group M_IBM Q1'18     Published Date: Jan 08, 2018
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Jan 08, 2018
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing.
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database, applications, data availability, cognitive applications
    
Group M_IBM Q1'18
Published By: IBM     Published Date: Jul 09, 2018
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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IBM
Published By: Group M_IBM Q418     Published Date: Oct 26, 2018
Over the past few years, business leaders have been the primary drivers of technology change, including making decisions to adopt new applications in the cloud, mandate a cloud-first strategy, offer new capabilities with an API-first strategy, and provide new applications to end users on mobile first. There are significant benefits to these cloud decisions because they decrease time to value, lower costs, and make it easier for organizations to experiment and innovate. But there are consequences as well, chiefly in the complexity of learning how to integrate applications and exchange data across a decentralized architecture that is largely driven by autonomous development decisions. This IDC White Paper answers the following questions about the need for hybrid integration: How are changes in business strategy and technology adoption requiring changes in how organizations approach integration? What are the major events that trigger integration adaptation? How are the roles involve
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Group M_IBM Q418
Published By: This program is brought to you by Oracle and Intel     Published Date: Mar 15, 2018
When application and database numbers increase, how does an organisation avoid overstretching its staff, multiplying costs, and complications? Many companies are using Oracle Exadata—a platform that’s powerful, optimised, and cloud-ready when you are. And they’re seeing, on average, a five-year ROI of 429 percent, 94 percent less unplanned downtime, and 103 percent improvement in transaction rates. See our infographic for more significant findings.
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This program is brought to you by Oracle and Intel
Published By: Oracle     Published Date: Jan 09, 2019
The Accenture Oracle data team has more than 20,000 professionals, who aid in delivering 50 billion transactions a day across more than three exabytes of data for clients globally. Accenture Oracle data specialists recently put the Oracle Autonomous Data Warehouse to a rigorous performance test to provide a real-life application usage experience. The data was then extrapolated and expanded to nine years’ worth of data to test the performance. Learn directly from Accenture experts about testing methodology and results that enable them to deliver more data intelligence faster to the enterprise and transform the way people live and work.
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Oracle
Published By: Turbonomic     Published Date: Nov 12, 2018
The hybrid cloud has been heralded as a promising IT operational model enabling enterprises to maintain security and control over the infrastructure on which their applications run. At the same time, it promises to maximize ROI from their local data center and leverage public cloud infrastructure for an occasional demand spike. Public clouds are relatively new in the IT landscape and their adoption has accelerated over the last few years with multiple vendors now offering solutions as well as improved on-ramps for workloads to ease the adoption of a hybrid cloud model. With these advances and the ability to choose between a local data center and multiple public cloud offerings, one fundamental question must still be answered: What, when and where to run workloads to assure performance while maximizing efficiency? In this whitepaper, we explore some of the players in Infrastructure-as-a-Service (IaaS) and hybrid cloud, the challenges surrounding effective implementation, and how t
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Turbonomic
Published By: Lenovo - APAC     Published Date: Jan 28, 2019
Asian ICT infrastructure investment is exploding as businesses review and modernise their data-centre architectures to keep up with the service demands of a growing and increasingly sophisticated population. Demand for cloud services, particularly to support big-data analytics initiatives, is driving this trend. Frost & Sullivan, for example, believes the Asia-Pacific cloud computing market will grow at 28.4 percent annually through 2022. Despite this growth, many businesses are also rapidly realising that public cloud is not the best solution for every need as they do not always offer the same level of visibility, performance, and control as on-premises infrastructure.This reality is pushing many companies towards the middle ground of hybrid IT, in which applications and infrastructure are distributed across public cloud and self-managed data centre infrastructure. Read about Medical company Mutoh and how it took advantage of the latest technology.
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lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
Published By: Cisco Umbrella EMEA     Published Date: Feb 08, 2019
The cloud — at one point it was a revolution in the workplace. But the cloud is no longer a trend or a movement. It’s now so integrated into IT and infrastructures that, for many companies, it’s simply another part of the business. The availability of mobile devices and cloud services has redefined not only the way we work, but where we work. Critical infrastructures, applications, and massive amounts of sensitive data are now stored in the cloud, leaving companies at risk of damage if cloud accounts are compromised. With the cloud fast becoming the new normal, network security solutions need to adapt. Download this ebook to learn how Cisco Cloud Security helps you securely adopt and use the cloud, and better manage security for the way the world works today.
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Cisco Umbrella EMEA
Published By: Simba by Magnitude     Published Date: Jul 12, 2019
Siloed data has become the Achilles heel of marketing insights –especially in the world of B2B and B2B2C marketing. Today’s marketing and sales departments sit on a goldmine of data derived from the dozens of applications and data sources in their MarTech stack. Still, the real opportunity for insights is hidden in the combined data across applications. Combining data in a comprehensive way delivers a full picture of marketing efficacy and efficiency. In this eBook, learn about the origins of siloed data, and how data has emerged and evolved, as well as review the benefits that marketing can realize with connected data. Along the way, we’ll share some action items you can take to assess your current situation and build a plan to unify your data and fuel great marketing insights.
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Simba by Magnitude
Published By: HP Inc.     Published Date: May 29, 2019
HP SmartStream Designer is a powerful, easy-to-use variable data printing (VDP) tool enabling users of HP Indigo and other HP digital presses to create sophisticated high-value jobs and personalized campaigns. A software plug-in for Adobe® InDesign® or Adobe Illustrator®, HP SmartStream Designer makes it possible to personalize any job with images, text and designs, for maximum impact. It has an easy to-use interface and can be easily integrated with over a dozen third-party dynamic applications. It also features rich database logic and preflight capabilities.
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HP Inc.
Published By: Veracode     Published Date: Jun 26, 2019
Applications become vulnerable to an encapsulation attack when they fail to differentiate data or functionality within components. Without clearly defined boundaries between control spheres, bad code can creep across components and attackers can gain unauthorized access to data and functions.
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Veracode
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
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