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, hadoop
     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: F5 Networks Singapore Pte Ltd     Published Date: Sep 19, 2019
"Security analysts have a tougher job than ever. New vulnerabilities and security attacks used to be a monthly occurrence, but now they make the headlines almost every day. It’s become much more difficult to effectively monitor and protect all the data passing through your systems. Automated attacks from bad bots that mimic human behavior have raised the stakes, allowing criminals to have machines do the work for them. Not only that, these bots leave an overwhelming number of alert bells, false positives, and inherent stress in their wake for security practitioners to sift through. Today, you really need a significant edge when combating automated threats launched from all parts of the world. Where to start? With spending less time investigating all that noise in your logs."
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     F5 Networks Singapore Pte Ltd
By: Cisco Umbrella EMEA     Published Date: Sep 02, 2019
You are doing everything you can to avoid breaches. But what happens when a hacker manages to bypass your security? In this webinar we will show you how to build a strong security posture and a layered defence that will give you the ability to quickly respond to breaches. We will cover: - The evolving threat landscape and why prevention-only strategies eventually fail - How to build a strong first line of defence to reduce exposure to threats - Protect your last line of defence with retrospective security - A quick demo of how Cisco Umbrella and AMP for Endpoints work together to contain, detect and remediate threats in real time - An overview of how Incident Response Services can help you with the skills you need to manage a breach
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     Cisco Umbrella EMEA
By: TIBCO Software     Published Date: Jul 22, 2019
Connected Intelligence in Insurance Insurance as we know it is transforming dramatically, thanks to capabilities brought about by new technologies such as machine learning and artificial intelligence (AI). Download this IDC Analyst Infobrief to learn about how the new breed of insurers are becoming more personalized, more predictive, and more real-time than ever. What you will learn: The insurance industry's global digital trends, supported by data and analysis What capabilities will make the insurers of the future become disruptors in their industry Notable leaders based on IDC Financial Insights research and their respective use cases Essential guidance from IDC
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     TIBCO Software
By: TIBCO Software     Published Date: Jul 22, 2019
What if you could use just one platform to detect all types of major financial crimes? One platform to handle the analytical tasks of fraud detection, including: Data processing and aggregation Data visualization Statistical/mathematical/machine learning modeling Batch/real-time scoring One platform that could successfully reduce complex and time-consuming fraud investigations by combining extremely different domains of knowledge including Business, Economics, Finance, and Law. A platform that can cover payments, credit card transactions, and know your customer (KYC) processes, as well as similar use cases like anti-money laundering (AML), trade surveillance, and crimes such as insurance claims fraud. Learn more about TIBCO's comprehensive software capabilities behind tackling all these types of fraud in this in depth whitepaper.
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     TIBCO Software
By: TIBCO Software     Published Date: Jul 22, 2019
TIBCO® Connected Intelligence for Smart Factory Insights By processing real-time data from machine sensors using artificial intelligence and machine learning, it's possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield.
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     TIBCO Software
By: TIBCO Software     Published Date: Jul 22, 2019
Over the past decade there has been a major transformation in the manufacturing industry. Data has enabled a paradigm shift, with real-time IoT sensor data and machine learning algorithms delivering new insights for process and product optimization. Smart Manufacturing, also known as Industry 4.0, has laid the groundwork for the next industrial revolution. Using a smart factory system, all relevant data is aggregated, analyzed, and acted upon. We call this Manufacturing Intelligence, which gives decision-makers a competitive edge to: Digitize the business Optimize costs Accelerate innovation Survive digital disruption Watch this webinar to understand use cases and their underlying technology that helped our customers become smart manufacturers.
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     TIBCO Software
By: TIBCO Software     Published Date: Jul 22, 2019
On-demand Webinar The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products. Watch this webinar to learn how TIBCO’s Smart Manufacturing solutions can help you overcome these challenges. You will also see a demonstration of TIBCO technology in action around improving yield and optimizing processes while also saving costs. What You Will Learn: Applying advanced analytics & machine learning / AI techniques to optimize complex manufacturing processes How multi-variate statistical process control can help to detect deviations from a baseline How to monitor in real time the OEE and produce a 360 view of your factory The webinar also highlights customer case studies from our clients who have already successfully implemented process optimization models. Spe
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     TIBCO Software
By: Group M_IBM Q4'19     Published Date: Sep 25, 2019
Basic diagramming tools allow business users to define an initial business process and provide a good path to getting your processes off of sticky notes and into a digital format. However, if company-wide collaboration, real-time change management and integration with automation tools are important to you, a dedicated process modeling tool may be your better choice.
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     Group M_IBM Q4'19
By: Group M_IBM Q4'19     Published Date: Sep 25, 2019
• Simplify business process modeling: Quickly build processes in a straightforward cloud-based interface designed for both IT and business users • Improve process efficiency and accuracy: A central process repository eliminates version control and consistency issues by providing users real-time access to process workflows • Enhance cross-team collaboration: A shared team workspace engages all business process owners, encouraging cross-team participation and continuous process improvement
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     Group M_IBM Q4'19
By: Group M_IBM Q4'19     Published Date: Sep 26, 2019
Real estate and facilities executives work across a broad agenda, from supporting business growth to improving building performance. Where should technology fit in and when is the right time to review your options? Independent research firm, Verdantix, explores the multiple trends profoundly changing real estate management and driving the need for a refreshed technology strategy. Download your complimentary report and learn more.
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     Group M_IBM Q4'19
By: Infinidat EMEA     Published Date: Oct 10, 2019
Dal momento che i dati non sono più soltanto un business enabler ma sono sempre più la base per un maggior vantaggio competitivo delle aziende, la disponibilità Always On dei dati è diventata un requisito cruciale di ogni organizzazione IT. Con molte diffi coltà, negli anni le aziende hanno lottato nel progettare infrastrutture dati che potessero soddisfare il requisito dell’Always On pagando un costo e una complessità elevate. Affi nché una soluzione sia realmente Always On deve garantire un Recovery Point Objective pari a zero (RPO=0) e un Recovery Time Objective pari a zero (RTO=0). Si tratta di due requisiti necessari per una soluzione Always On ma assolutamente non suffi cienti.
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     Infinidat EMEA
By: Pine Cove Consulting     Published Date: Oct 03, 2019
Cybersecurity just isn't getting any easier. While protection technolgoies continue to advance at a rapid pace, so do the cybercriminals trying to circumvent them. Rather than continuing further with the same approach to cybersecurity, it’s time to move to cybersecurity as a system. By enabling security products to share information and work together in real time you can stay ahead of the threats while also freeing up valuable IT resources.
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     Pine Cove Consulting
By: Oracle     Published Date: Sep 26, 2019
When you unify data across your organisation, supply chain management and planning becomes more holistic and accurate. You get a real time view of supply and demand, with intelligent insights into new opportunities for business growth. This video explains the opportunities waiting for any supply chain manager who is ready to embrace connected data. Prepare for data leadership. Watch our video now.
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     Oracle
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