application processing

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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: RedPoint     Published Date: Sep 22, 2014
The emergence of YARN for the Hadoop 2.0 platform has opened the door to new tools and applications that promise to allow more companies to reap the benefits of big data in ways never before possible with outcomes possibly never imagined. By separating the problem of cluster resource management from the data processing function, YARN offers a world beyond MapReduce: less encumbered by complex programming protocols, faster, and at a lower cost. Some of the topics discussed in this paper include: • Why is YARN important for realizing the power of Hadoop for data integration, quality and management? • Benchmark results of MapReduce vs. Pig vs. visual “data flow” design tools • The 3 key features of YARN that solve the complex problems that prohibit businesses from gaining maximum benefit from Hadoop. Download this paper to learn why the power of Hadoop 2.0 lies in enabling applications to run inside Hadoop, without the constraints of MapReduce.
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     RedPoint
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: snowflake     Published Date: Jun 09, 2016
Today’s data, and how that data is used, have changed dramatically in the past few years. Data now comes from everywhere—not just enterprise applications, but also websites, log files, social media, sensors, web services, and more. Organizations want to make that data available to all of their analysts as quickly as possible, not limit access to only a few highly-skilled data scientists. However, these efforts are quickly frustrated by the limitations of current data warehouse technologies. These systems simply were not built to handle the diversity of today’s data and analytics. They are based on decades-old architectures designed for a different world, a world where data was limited, users of data were few, and all processing was done in on-premises datacenters.
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     snowflake
By: Medius     Published Date: Oct 01, 2019
AP automation is often described as low hanging fruit in the garden of digital transformation. And for a good reason – the barrier to entry is impressively low in terms of both cost and effort needed to get up and running, particularly in comparison to the implementation projects for other business applications. Despite that fact, the value provided from AP automation is comparably high. For such an easy implementation, the benefits reach throughout an organization, beyond the walls of the AP department, and are near-immediate from day one of using the solution. Standard benefits include: - Immediate value from day one with an expected ROI within the first year - Up to 95% truly touchless invoice processing with access to real-time cloud data for benchmarking and reporting - Easy access to financial data, such as cash flow & accrual reporting, with full visibility and control of the AP process This guide will help you kick-start your AP automation project by defining the 6 steps to build a solid business case and gain the internal approvals needed to get started.
Tags : ap automation, invoice processing, invoice automation, accounts payable automation, accounting software, accounting automation, microsoft dynamics automation
     Medius
By: Dell EMC     Published Date: Nov 02, 2015
Today’s IT environment is more complex than ever. The applications that have become critical to business operations require greater processing power, memory, and storage. This guide prepares decision-makers to choose servers that meet their current needs, while building a flexible, reliable, scalable infrastructure to handle future requirements.
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     Dell EMC
By: IBM APAC     Published Date: Jul 19, 2019
AI applications and especially deep learning systems are extremely demanding and require powerful parallel processing capabilities. IDC research shows that, in terms of core capacity, a large gap between actual and required CPU capability will develop in the next several years. IDC is seeing the worldwide market for accelerated servers grow to $25.6 billion in 2022, with a 31.6% CAGR. Indeed, this market is growing so fast that IDC is forecasting that by 2021,12% of worldwide server value will be from accelerated compute. Download this IDC report to find out why organizations like yours will need to make decisions about replacing existing general-purpose hardware or supplementing it with hardware dedicated to AI-specific processing tasks.
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     IBM APAC
By: Red Hat     Published Date: May 11, 2016
Platform-as-a-Service (PaaS) provides an abstraction that makes developers more productive by helping them focus on creating applications rather than dealing with infrastructures. This is important as information and its associated processing has become central to more businesses, even those in industries that haven’t been historically thought of as dependent on information technology. And that makes writing custom applications in support of an organization’s business objectives more important than ever.
Tags : red hat, paas, platform, developer
     Red Hat
By: CA Technologies_Business_Automation     Published Date: Jun 29, 2018
You’ve made a major investment in Oracle E-Business Suite applications to run your critical enterprise processes. But these processes stretch beyond Oracle E-Business Suite and rely on a mix of custom and packaged applications. Management of your critical enterprise processes has become a pressing challenge. Too many staff are tied up in managing the process, as well as finding and diagnosing process errors. SLAs are frequently missed, and customers perceive poor quality of service due to the recurring errors and delays, which are now impacting your critical processes, such as financial period end close, invoicing, payroll and materials requirements planning (MRP) processing. You’ve decided it’s time to consider automation. Automating Oracle E-Business Suite processes end-to-end can eliminate 90% of business process errors. Download this whitepaper to find out how.
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     CA Technologies_Business_Automation
By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
The whitepaper is intended for security practitioners as well as developers and administrators of applications who can benefit from secure communications. The paper presents carious strategies for securing applications using Oracle Solaris 11 security and hardware-assisted cryptographic acceleration features of Oracle's SPARC processors. The paper unveils the core mechanisms, configuration, and deployment strategies, as well as the role of relevance of using Oracle Solaris Cryptographic Framework and Java Cryptography Extension-based techniques for delivering a high-performance, end-to-end security solution. With Oracle's new Software in Silicon capabilities coupled with an innovation cache and memory hierarchy, Oracle's SPARC M7 processor delivers dramatically higher processing speed and revolutionary protection against malware and software errors.
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     Oracle PaaS/IaaS/Hardware
By: Pure Storage     Published Date: Jan 12, 2018
Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions. Computer systems consisting of multi-core CPUs or GPUs using parallel processing and extremely fast networks are required to process the data. However, legacy storage solutions are based on architectures that are decades old, un-scalable and not well suited for the massive concurrency required by machine learning. Legacy storage is becoming a bottleneck in processing big data and a new storage technology is needed to meet data analytics performance needs.
Tags : reporting, artificial intelligence, insights, organization, institution, recognition
     Pure Storage
By: Esker     Published Date: Jun 29, 2016
In a perfect world, every sales order your company receives would go straight into your SAP system. But in reality, orders sent by fax and email end up as paper that gets pushed around the office. And those are the ones that cost the most to process. Learn about a solution to: - Automate fax, email, EDI, and other orders into SAP applications - Eliminate the cost and errors of manual order processing - Consolidate resources to simplify your IT landscape You’ll also find out how the technology works and what it has done for other businesses.
Tags : sales, solutions, best practices, business process, business management
     Esker
By: Esker     Published Date: Feb 03, 2017
In a perfect world, every sales order your company receives would go straight into your SAP system. But in reality, orders sent by fax and email end up as paper that gets pushed around the office. And those are the ones that cost the most to process. Learn about a solution to: Automate fax, email, EDI, and other orders into SAP applications Eliminate the cost and errors of manual order processing Consolidate resources to simplify your IT landscape You’ll also find out how the technology works and what it has done for other businesses.
Tags : sales, solutions, best practices, business process, business management, business intelligence
     Esker
By: Wolfe     Published Date: Apr 18, 2013
Cloud services create a compelling case to move application processing and storage out of the data center and onto the network.
Tags : ethernet, cloud, application processing, storage, data center, network, voip, unified communications, communications infrastructure
     Wolfe
By: CA Technologies EMEA     Published Date: Aug 03, 2017
Using CA Live API Creator, you can execute business policies using Reactive Logic. You write simple declarative rules defining relationships across data fields, and they’re automatically enforced when changes occur—just like formulas in a spreadsheet. Reactive Logic should cover most of your application requirements, but you also have the ability to configure event processing or external callouts using server-side JavaScript or imported Java® libraries if you so desire.
Tags : api, application programming interface, psd2, open banking, json, github
     CA Technologies EMEA
By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
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. To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
Tags : database, applications, data availability, cognitive applications
     Group M_IBM Q1'18
By: BMC Control M     Published Date: Jul 16, 2009
Batch Application Integration allows you to process critical transactions, such as payment authorizations, in real-time, and cue fulfillment (such as packaging and shipping) or other lower priority actions for batch processing. Learn more about Batch Application Integration, and how BMC CONTROL-M makes it possible.
Tags : integrating, automation, composite applications, bmc, control-m, enterprise architects, batch application integration, batch processing, object oriented design, ood, service oriented architecture, soa, enterprise management associates, ema, enterprise, bai, enterprise resource planning, erp, business-to-consumer, b2c
     BMC Control M
By: Kofax     Published Date: Sep 08, 2011
This whitepaper will review how business processes are more efficient in an electronic data environment. Enterprise Capture enables customer service improvement, cost cutting, and compliance for financial institutions such as Flagstar and Randolph Brooks Federal Credit Union (RBFCU).
Tags : kofax ktm, transformation modules, capture, vrs, scan to process, enterprise capture, customer-centric, automated document classification, metadata extraction, new account applications, mfps, loan and mortgage processing, sap, funds processing, credit card application processing, swift format, icr, ocr, omr, automatically index
     Kofax
By: Kofax     Published Date: Sep 08, 2011
See how some retail banks have redirected their focus to a more customer -centric approach. This whitepaper includes success stories from Banco Inversis and GMAC Commercial Mortgage Corporation (now Ally Financial) which highlight how Kofax has helped them maintain and even increase their competitive edge.
Tags : kofax ktm, transformation modules, capture, vrs, scan to process, enterprise capture, customer-centric, automated document classification, metadata extraction, new account applications, mfps, loan and mortgage processing, sap, funds processing, credit card application processing, swift format, icr, ocr, omr, automatically index
     Kofax
By: Kofax     Published Date: Sep 08, 2011
The Kofax enterprise capture platform offers unmatched scalability from centralized to highly distributed environments, from individual desktops to enterprise deployments and from basic archival scanning to powerful document classification and separation and data extraction. The company's market leading technology supports a wide variety of input devices and line of business applications, providing a strong enterprise-wide platform on which to standardize document driven processes.
Tags : kofax ktm, transformation modules, capture, vrs, scan to process, enterprise capture, customer-centric, automated document classification, metadata extraction, new account applications, mfps, loan and mortgage processing, sap, funds processing, credit card application processing, swift format, icr, ocr, omr, automatically index
     Kofax
By: IBM     Published Date: Oct 27, 2016
IBM Analytics for Apache Spark for Bluemix is an open-source cluster computing framework with in-memory processing to speed analytic applications up to 100 times faster compared to other technologies on the market today. Optimized for extremely fast and large scale data processing-you can easily perform big data analysis from one application.
Tags : ibm, apache spark, bluemix, analytics, data science
     IBM
By: SDL     Published Date: Sep 20, 2019
Component Content Management: A New Paradigm in Intelligent Content Services While technology has changed the world, the way that companies manage information has inherently stayed the same. The advent of near-ubiquitous connectivity among applications and machines has resulted in a data deluge that will fundamentally alter the landscape of content management. From mobile devices to intelligent machines, the volume and sophistication of data have surpassed the ability of humans to manage it with outdated methods of collection, processing, storage, and analysis. The opportunity afforded by the advent of artificial intelligence (AI) has stimulated the market to search for a better way to capture, classify, and analyze this data in its journey to digital transformation (DX). The paradigm of document-based information management has proven to be a challenge in finding, reusing, protecting, and extracting value from data in real time. Legacy systems may struggle with fragmented information
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     SDL
By: Red Hat, Inc.     Published Date: Jul 10, 2012
Today, as IT departments struggle to design and implement solutions capable of managing exponential data growth with strict requirements for application scale and performance, many of them are turning to in-memory data grids (IMDGs).
Tags : it departments, data growth, managing data growth, application scale, application performance, in-memory data grids, imdgs, big data, data volume, data velocity, data variability, data management, data collection, data processing, data scaling, data storage systems, data access, data solutions, data challenges, management tooling
     Red Hat, Inc.
By: SAS     Published Date: May 24, 2018
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
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     SAS
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