real time agility

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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: IBM     Published Date: Jul 26, 2017
To compete in today’s fast-paced business climate, enterprises need accurate and frequent sales and customer reports to make real-time operational decisions about pricing, merchandising and inventory management. They also require greater agility to respond to business events as they happen, and more visibility into business activities so information and systems are optimized for peak efficiency and performance. By making use of data capture and business intelligence to integrate and apply data across the enterprise, organizations can capitalize on emerging opportunities and build a competitive advantage. The IBM® data replication portfolio is designed to address these issues through a highly flexible one-stop shop for high-volume, robust, secure information replication across heterogeneous data stores. The portfolio leverages real-time data replication to support high availability, database migration, application consolidation, dynamic warehousing, master data management (MDM), service
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ibm, infosphere, data replication, security, data storage
    
IBM
Published By: IBM     Published Date: Aug 23, 2017
To compete in today’s fast-paced business climate, enterprises need accurate and frequent sales and customer reports to make real-time operational decisions about pricing, merchandising and inventory management. They also require greater agility to respond to business events as they happen, and more visibility into business activities so information and systems are optimized for peak efficiency and performance. By making use of data capture and business intelligence to integrate and apply data across the enterprise, organizations can capitalize on emerging opportunities and build a competitive advantage.
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ibm, data replication, inventory management, competitive advantage
    
IBM
Published By: Insight Software     Published Date: May 22, 2018
Don’t settle. Forward-thinking finance professionals know that there is a better way. Though BI tools have provided visibility to data, they have in fact failed to provide direct access to enterprise information. However, evolution does not stop there: Next-gen corporate performance management solutions are among us and promise to deliver interconnected, flexible, and realtime data access. Agility achieved.
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erp, enterprise, finance, evolution, performance
    
Insight Software
Published By: MuleSoft     Published Date: Oct 13, 2015
Improving data management is critical for streamlining regulatory reporting, monetizing customer analytics, and democratizing data-driven decision-making. Financial firms must transform their data management approach to unlock data from its silos, incorporate unstructured information from non-traditional sources, and integrate information whether on-premises, in the cloud, batch-based, or real-time. As this evolution continues, technology leaders must consider integration holistically across the enterprise and create an agility layer that is key to future-proofing their data management architecture. Read this whitepaper to learn: -Data management challenges in financial services -Best practices to manage data in financial institutions -Integration strategies for optimal data management
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back office systems, operational effectiveness, unlocking data, business imperatives, modernizing legacy systems
    
MuleSoft
Published By: AWS     Published Date: Apr 27, 2018
Until recently, businesses that were seeking information about their customers, products, or applications, in real time, were challenged to do so. Streaming data, such as website clickstreams, application logs, and IoT device telemetry, could be ingested but not analyzed in real time for any kind of immediate action. For years, analytics were understood to be a snapshot of the past, but never a window into the present. Reports could show us yesterday’s sales figures, but not what customers are buying right now. Then, along came the cloud. With the emergence of cloud computing, and new technologies leveraging its inherent scalability and agility, streaming data can now be processed in memory, and more significantly, analyzed as it arrives, in real time. Millions to hundreds of millions of events (such as video streams or application alerts) can be collected and analyzed per hour to deliver insights that can be acted upon in an instant. From financial services to manufacturing, this rev
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AWS
Published By: Cisco     Published Date: Jan 05, 2016
With a global monthly reach consisting of more than 500 million mobile users and billions of requests, Tapjoy historically relied heavily on their IT footprint. They needed an environment that would allow them to accelerate the development and improve the performance of their big data algorithms, which help drive real time decision-making that delivers the best content to their global audience. Read more to learn how Tapjoy engineers opted for a cloud-based model to run their big data platform instead of bare metal, prioritizing agility and the ability to scale over bare metal performance.
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Cisco
Published By: Cisco     Published Date: Jul 11, 2016
With a global monthly reach consisting of more than 500 million mobile users and billions of requests, Tapjoy historically relied heavily on their IT footprint. They needed an environment that would allow them to accelerate the development and improve the performance of their big data algorithms, which help drive real time decision-making that delivers the best content to their global audience. Tapjoy engineers opted for a cloud-based model to run their big data platform instead of bare metal, prioritizing agility and the ability to scale over bare metal performance. Initially they deployed at AWS, but as the platform grew and their AWS costs increased, Tapjoy began to look for ways to better manage their growing public-cloud spend while increasing efficiency. They needed to do this without compromising the cloud experience they were giving their developers.
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Cisco
Published By: IBM     Published Date: Oct 10, 2014
This paper introduces practical approaches to Agile focused on core principles and practices and shows how they improve project results for embedded systems development.
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ibm, agility, software productivity, agile teams, agile practice, faster solutions, adoption mistakes, dummies, ebook, software teams, growing popularity, growing scalability, real-time, embedded software, solution for systems, software development, it management
    
IBM
Published By: IBM     Published Date: Mar 10, 2015
This paper introduces practical approaches to Agile focused on core principles and practices and shows how they improve project results for embedded systems development. Agile methods are a cohesive set of concepts, principles and practices to address the challenges of software development.
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real-time agility, ibm, agile methods, software development, it management
    
IBM
Published By: Ultimus     Published Date: Aug 16, 2007
By enabling Adaptive SOA, Ultimus Adaptive Discovery takes SOA to the highest level of rapid deployment and agility. It accomplishes this by enabling business processes to be developed rapidly, and to embrace change in real-time. More importantly, it empowers business professionals and analysts who own processes to discover and change processes with IT playing the supporting role to manage the infrastructure.
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ultimus, bpm, business process management, automation, process discovery, discovery, adaptive discovery, bpa, productivity, adaptive soa, soa, service oriented architecture, service-oriented
    
Ultimus
Published By: VMware, Inc     Published Date: Dec 05, 2013
IT as a service (ITaaS) provides a unique opportunity for IT and line-of-business leaders to realign to transform business. Over the past decade, IT organizations have worked hard to reduce delivery time and costs through automation and commoditization. At the same time, line-of-business owners have demanded more and unique offerings to drive agility and competitive advantage. More recently, the result has been business owners working outside of IT to meet their needs. Now, enabled by cloud computing, ITaaS is catalyzing profound change in IT organizations and the processes companies follow to achieve business goals. Please download the white paper to learn more.
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itaas, delivery time, it automation, it commoditization, vmware, networking, it management, knowledge management, data management, business technology
    
VMware, Inc
Published By: AWS     Published Date: May 18, 2018
We’ve become a world of instant information. We carry mobile devices that answer questions in seconds and we track our morning runs from screens on our wrists. News spreads immediately across our social feeds, and traffic alerts direct us away from road closures. As consumers, we have come to expect answers now, in real time. Until recently, businesses that were seeking information about their customers, products, or applications, in real time, were challenged to do so. Streaming data, such as website clickstreams, application logs, and IoT device telemetry, could be ingested but not analyzed in real time for any kind of immediate action. For years, analytics were understood to be a snapshot of the past, but never a window into the present. Reports could show us yesterday’s sales figures, but not what customers are buying right now. Then, along came the cloud. With the emergence of cloud computing, and new technologies leveraging its inherent scalability and agility, streaming data
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AWS
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