real time

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By: NetApp     Published Date: Dec 19, 2013
SAP HANA enables real-time access to mission-critical, business data and thus, revolutionizes the way existing information can be utilized to address ever changing business requirements. This whitepaper describes both the business and technical benefits of implementing the Cisco UCS with NetApp Storage for SAP HANA solution.
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     NetApp
By: IBM     Published Date: Sep 02, 2014
With tougher regulations and continuing market volatility, financial firms are moving to active risk management with a focus on counterparty risk. Firms are revamping their risk and trading practices from top to bottom. They are adopting new risk models and frameworks that support a holistic view of risk. Banks recognize that technology is critical for this transformation, and are adding state-of-the-art enterprise risk management solutions, high performance data and grid management software, and fast hardware. Join IBM Algorithmics and IBM Platform Computing to gain insights on this trend and on technologies for enabling active "real-time" risk management.
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     IBM
By: IBM     Published Date: Sep 02, 2014
In today’s stringent financial services regulatory environment with exponential growth of data and dynamic business requirements, Risk Analytics has become integral to businesses. IBM Algorithmics provides very sophisticated analyses for a wide range of economic scenarios that better quantify risk for multiple departments within a firm, or across the enterprise. With Algorithmics, firms have a better handle on their financial exposure and credit risks before they finalize real-time transactions. But this requires the performance and agility of a scalable infrastructure; driving up IT risk and complexity. The IBM Application Ready Solution for Algorithmics provides an agile, reliable and high-performance infrastructure to deliver trusted risk insights for sustained growth and profitability. This integrated offering with a validated reference architecture delivers the right risk insights at the right time while lowering the total cost of ownership.
Tags : ibm, it risk, financial risk analytics
     IBM
By: Impetus     Published Date: Feb 04, 2016
This paper explores the top seven must-have features in a Real-Time Streaming Analytics (RTSA) platform in order to help you choose a platform that meets the needs of your organization.
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     Impetus
By: Impetus     Published Date: Feb 04, 2016
This white paper explores strategies to leverage the steady flow of new, advanced real-time streaming data analytics (RTSA) application development technologies. It defines a thoughtful approach to capitalize on the window of opportunity to benefit from the power of real-time decision making now, and still be able to move to new and emerging technologies as they become enterprise ready.
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     Impetus
By: Impetus     Published Date: Mar 15, 2016
Streaming analytics platforms provide businesses a method for extracting strategic value from data-in-motion in a manner similar to how traditional analytics tools operate on data-at rest. Instead of historical analysis, the goal with streaming analytics is to enable near real-time decision making by letting companies inspect, correlate and analyze data even as it flows into applications and databases from numerous different sources. Streaming analytics allows companies to do event processing against massive volumes of data streaming into the enterprise at high velocity.
Tags : impetus, guide to stream analytics, real time streaming analytics, streaming analytics, real time analytics, big data analytics
     Impetus
By: MEMSQL     Published Date: Apr 12, 2016
The pace of data is not slowing. Applications of today are built with infinite data sets in mind. As these real-time applications become the norm, and batch processing becomes a relic of the past, digital enterprises will implement memory-optimized, distributed data systems to simplify Lambda Architectures for real-time data processing and exploration.
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     MEMSQL
By: GridGain     Published Date: Mar 10, 2015
Software as a Service (SaaS) is a software distribution model in which applications are hosted by a vendor or service provider and made available to customers over the Internet. Instead of companies installing software on their own servers, known as the on premises distribution model, application software providers host the software in the cloud and charge customers according to the time they spend using the software, or based on a monthly or annual fee. SaaS is becoming increasingly popular, and as the industry develops, more and more companies are dropping older business models in favor of this rapidly evolving methodology.
Tags : gridgain, saas, saas perfomance and scalability, in memory computing, data fabric, paas for saas, data grid, real-time streaming
     GridGain
By: Kx Systems     Published Date: Jan 16, 2015
?Kdb+ is a column-based relational database with extensive in-memory capabilities, developed and marketed by Kx Systems. Like all such products, it is especially powerful when it comes to supporting queries and analytics. However, unlike other products in this domain, kdb+ is particularly good (both in terms of performance and functionality) at processing, manipulating and analysing data (especially numeric data) in real-time, alongside the analysis of historical data. Moreover, it has extensive capabilities for supporting timeseries data. For these reasons Kx Systems has historically targeted the financial industry for trading analytics and black box trading based on real-time and historic data, as well as realtime risk assessment; applications which are particularly demanding in their performance requirements. The company has had significant success in this market with over a hundred major financial institutions and hedge funds deploying its technology. In this paper, however, we wa
Tags : kx systems, kdb+, relational database
     Kx Systems
By: BitStew     Published Date: May 26, 2016
The heaviest lift for an industrial enterprise is data integration, the Achilles’ heel of the Industrial Internet of Things (IIoT). Companies are now recognizing the enormous challenge involved in supporting Big Data strategies that can handle the data that is generated by information systems, operational systems and the extensive networks of old and new sensors. To compound these issues, business leaders are expecting data to be captured, analyzed and used in a near real-time to optimize business processes, drive efficiency and improve profitability. However, integrating this vast amount of dissimilar data into a unified data strategy can be overwhelming for even the largest organizations. Download this white paper, by Bit Stew’s Mike Varney, to learn why a big data solution will not get the job done. Learn how to leverage machine intelligence with a purpose-built IIoT platform to solve the data integration problem.
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     BitStew
By: Hewlett Packard Enterprise     Published Date: Jul 29, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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     Hewlett Packard Enterprise
By: Hewlett Packard Enterprise     Published Date: Jul 25, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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     Hewlett Packard Enterprise
By: Intel     Published Date: Jul 17, 2019
Today, business is conducted in a fast-paced, on-demand, globally dispersed environment. Maintaining a competitive edge requires cohesive real-time collaboration. Mobile workers, partners, vendors, suppliers, and even customers expect to be able to work together seamlessly, both inside and outside the firewall. But delivering tools for high-quality collaboration is often challenging, due to the need for businesses of all sizes to support a wide range of personal and business devices. Mixing disparate devices with complex conferencing solutions often lead to frustrated employees, while businesses face a labor-intensive, costly endeavor without a high ROI. In addition, collaboration is evolving with businesses creating small "huddle" spaces and open workspaces that increase the demand for ubiquitous, effective conferencing. The Intel Unite ' solution is a fast, simple, cost-efficient way to deliver a more secure, manageable, high-quality collaboration experience. Whether you select the
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     Intel
By: Schneider Electric     Published Date: Jul 01, 2019
This eGuide examines how digital technology is integrating real-time monitoring of pump energy usage, maintenance, and operations for maximum payback.
Tags : pump, tco, water
     Schneider Electric
By: Larsen & Toubro Infotech(LTI)     Published Date: Aug 13, 2019
Real-time ERP systems are converting purchase order into jobs and schedules through the integration of standard ERPs with Machine Learning (ML) and Artificial Intelligence (AI). This powerful combination of touchless digitization engine, Robotic Process Automation (“software robots” that perform tasks automatically), and APIs in a nonintrusive manner to highly automate process is convincing Business Leaders, CIOs and IT managers that AI has moved past hype. Download full White Paper.
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     Larsen & Toubro Infotech(LTI)
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.
Tags : here technologies, supply chain, mapping
     HERE Technologies
By: HERE Technologies     Published Date: Aug 08, 2019
The overall supply chain is becoming increasingly complex. When running smoothly, this global system lowers costs and improves quality, but as more moving parts are introduced the potential for inefficiency increases. Greater visibility is key to preventing disruptions and gaps in the supply chain - and location data is the key to enhancing visibility. By reading this eBook, you will discover: How location intelligence can help identify areas that are ripe for optimization How real-time data can provide useful insights on supply chain health and help identify waste in your processes How HERE helped a car manufacturer identify millions in savings annually by adding location awareness to its supply chain planning
Tags : supply chain, transport and logistics, mapping
     HERE Technologies
By: IBM APAC     Published Date: Jul 19, 2019
According to IDC, SDS is transforming the IT deployment and consumption of storage resources creating peace of mind. So, deploying SDS is not a matter of “if” but a matter of “when”! SDS survey showed that 75% of enterprises have deployed or are considering to deploy SDS in their environment. This white paper looks at how 61% of enterprises that deployed SDS have realized tangible benefits, such as: • Reduction in CAPEX/OPEX costs • Ease of management • Reduction in provisioning time
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     IBM APAC
By: HERE Technologies     Published Date: Jun 14, 2019
With upward of a billion vehicles in operation across the world and rising urbanization there is an unprecedented level of traffic and congestion in our major towns and cities. On the front-line, are the emergency dispatchers and responders facing complex challenges as they attempt to overcome congested traffic, unexpected road closures and work zones as quickly as possible. Each additional minute of response time has the potential to save a life, reduce suffering or prevent unnecessary property damage. Most public safety and security organizations, however, are still using legacy location technology, which has its limitations and does not properly address some key challenges. As one of the world’s leading location platforms, HERE shares insights and solutions to improve emergency response times with real-time location data
Tags : mapping, public saftey, location data
     HERE Technologies
By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
The advantages blockchain can bring to the automotive ecosystem, both in facilitating collaboration among participants and enabling capabilities for new mobility business models, have gotten the attention of automotive executives. In addition to enabling a single source of data, blockchain can facilitate device-to-device transactions, smart contracts, and real-time processing and settlement. For the automotive industry, this translates into improvements and operational efficiencies in areas such as supply chain transparency, financial transactions between ecosystem participants, authenticating access to cars, and customer experience and loyalty.
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     Group M_IBM Q3'19
By: Group M_IBM Q3'19     Published Date: Jun 27, 2019
Organizations continue to rush down the digital transformation path. Whether by modernizing their IT infrastructures, leveraging the cloud, or becoming data-centric and data-driven, organizations must become more agile in their business practices and within their IT infrastructure stack to effectively compete in today’s dynamic business environment. Between the speed and distributed nature of modern businesses, as well as the expectation of instantaneous access to data from everyday users, it’s not surprising that nearly one in three organizations are looking into ways to improve data analytics for real-time business intelligence and customer insight.
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     Group M_IBM Q3'19
By: Oracle     Published Date: Jun 04, 2019
Data is central to marketing function, yet research shows that 50% of CMOs struggle to manage data volumes, or gain insights. Read how to address data ethics and management in your organisation. Marketing’s top priority is to enforce technologies enabling real time data insights to drive instant, personalised CX. Meanwhile, only 30% of CMOs say they have data visualisation dashboards to analyse specific sets of data. Read the findings
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     Oracle
By: Flexential     Published Date: Jul 17, 2019
The hybrid cloud has arrived for the enterprise, but it comes with a complication: the speed of light. Between the cloud and the end user (including IoT devices that count as ‘users’), there is an emerging need for an intermediate environment that can satisfy real-time compute requirements without incurring the latency of reaching all the way to the cloud. ‘Edge compute’ is the phrase used to describe what covers this middle ground, but the optimal location for edge compute resources remains open to question.
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     Flexential
By: Epicor     Published Date: May 21, 2019
Enterprise resource planning (ERP) software is the backbone of modern manufacturing information systems, enabling the digital transformation that’s changing operations and customer expectations. As the movement toward a digital workplace evolves, your ERP system must keep pace. Epicor commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study to examine the potential return on investment (ROI) of deploying Epicor ERP. Several manufacturers using Epicor ERP found: • Faster access to data and improved real-time visibility enabled better decision-making • Improved multi-company operational efficiency • Increased competitiveness with faster turnaround of customer quotes and improved pricing accuracy • Increased versatility with the Epicor ERP cloud offering • Access to deep expertise in manufacturing best practices Read the study to find out how else Epicor ERP has helped manufacturers.
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     Epicor
By: Apptio     Published Date: Jul 16, 2019
We know that digital transformation is changing the economics of IT, but is this influencing CXO dynamics and strategic decision-making? To determine this, the Financial Times (FT) Focus partnered with Apptio to survey more than 550 C-suite leaders in technology and finance globally. Download this FT Focus report to discover how to: - Bridge the trust gap and ease tensions between the Office of the CIO and the CFO with accountability and real-time data - Leverage digital transformation to foster greater collaboration and avoid creating blurred responsibilities across the C-suite - Help leaders at global brands embrace AI, reskilling, cloud, Agile, and decentralized decision-making to move at hyperspeed and deliver value.
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     Apptio
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