application processing

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Published By: Cisco and NVIDIA Corporation     Published Date: Jan 09, 2019
Windows 10 requires 32% more graphics consumption than Windows 7, which means in a virtual desktop environment, the end user experiences slow performance, and applications that wont launch. When the OS is deployed using graphics processing units (GPUs) these additional processing requirements can be offloaded, enhancing overall performance. Download this white paper to learn 4 ways GPUs can help improve your Windows 10 deployments in a virtualized environment.
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Cisco and NVIDIA Corporation
Published By: BMC ASEAN     Published Date: Dec 18, 2018
Big data projects often entail moving data between multiple cloud and legacy on-premise environments. A typical scenario involves moving data from a cloud-based source to a cloud-based normalization application, to an on-premise system for consolidation with other data, and then through various cloud and on-premise applications that analyze the data. Processing and analysis turn the disparate data into business insights delivered though dashboards, reports, and data warehouses - often using cloud-based apps. The workflows that take data from ingestion to delivery are highly complex and have numerous dependencies along the way. Speed, reliability, and scalability are crucial. So, although data scientists and engineers may do things manually during proof of concept, manual processes don't scale.
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BMC ASEAN
Published By: CA Technologies_Business_Automation     Published Date: Jun 29, 2018
Youve 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. Youve decided its 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
Published 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. Youll 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
Published By: CA Technologies EMEA     Published Date: May 23, 2018
CA Live API Creator creates application back-ends exposing enterprise-class REST/JSON APIs, including access to existing data and applications. It enables developers to create new REST endpoints that join data across diverse data sources using a pointandclick approach. API owners can extend the API with declarative business rules, JavaScript event processing, role-based security and interactive testing. The CA Live API Creator Reactive Logic model yields systems that are highly scalable and reliable. Its optimized services run more efficiently and with less fragility than services manually coded by skilled developers and architects.
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CA Technologies EMEA
Published By: Microsoft Azure     Published Date: Apr 11, 2018
Distributed systems enable different areas of a business to build specific applications to support their needs and drive insight and innovation. While great for the business, this new normal can result in development inefficiencies when the same systems are reimplemented multiple times. This free e-book provides repeatable, generic patterns, and reusable components to make developing reliable systems easier and more efficientso you can free your time to focus on core development of your app. In this 160page e-book, youll find: An introduction to distributed system concepts. Reusable patterns and practices for building distributed systems. Exploration of a platform for integrating applications, data sources, business partners, clients, mobile apps, social networks, and Internet of Things devices. Event-driven architectures for processing and reacting to events in real time. Additional resources for learning more about containers and container orchestration systems. There are more
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Microsoft Azure
Published By: Oracle     Published Date: Mar 22, 2018
s your information technology (IT) organization pressured to get more work done with fewer people or on a constricted budget? Do you need to make IT a competitive asset rather than a cost center? Does your business struggle with slow software applications or data that's too often unavailable? If you answered "yes" to any of these questions, it's time to take a close look at Oracle Exadata, the world's fastest database machine exclusively designed to run Oracle Database. It is the first database machine optimized for data warehousing, online transaction processing (OLTP), and database consolidation workloads as well as in-memory databases and database as a service (DBaaS).
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Oracle
Published By: SAS     Published Date: Mar 06, 2018
Imagine getting into your car and saying, Take me to work, and then enjoying an automated drive as you read the morning news. We are getting very close to that kind of scenario, and companies like Ford expect to have production vehicles in the latter part of 2020. Driverless cars are just one popular example of machine learning. Its also used in countless applications such as predicting fraud, identifying terrorists, recommending the right products to customers at the right time, and correctly identifying medical symptoms to prescribe appropriate treatments. The concept of machine learning has been around for decades. Whats new is that it can now be applied to huge quantities of data. Cheaper data storage, distributed processing, more powerful computers and new analytical opportunities have dramatically increased interest in machine learning systems. Other reasons for the increased momentum include: maturing capabilities with methods and algorithms refactored to run in memory; the
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SAS
Published 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.
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reporting, artificial intelligence, insights, organization, institution, recognition
    
Pure Storage
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: 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.
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database, applications, data availability, cognitive applications
    
Group M_IBM Q1'18
Published By: MemSQL     Published Date: Nov 15, 2017
FREE O'REILLY EBOOK: BUILDING REAL-TIME DATA PIPELINES Unifying Applications and Analytics with In-Memory Architectures You'll Learn: - How to use Apache Kafka and Spark to build real-time data pipelines - How to use in-memory database management systems for real-time analytics - Top architectures for transitioning from data silos to real-time processing - Steps for getting to real-time operational systems - Considerations for choosing the best deployment option
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hardware trends, data pipelines, database management, architectures, technology
    
MemSQL
Published By: MemSQL     Published Date: Nov 15, 2017
The Path to Predictive Analytics and Machine Learning This Ebook will be your guide to building and deploying scalable, production-ready machine-learning applications. Inside, you will find several machine learning use cases, code samples to help you get started, and recommended data processing architectures.
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data pipelines, analytics, database, machine learning
    
MemSQL
Published By: MemSQL     Published Date: Nov 15, 2017
Data Warehousing in the Age of Artificial Intelligence This Ebook will guide you through building and deploying scalable, production-ready artificial-intelligence applications. Inside, you will find several artificial intelligence use cases, code samples to help you get started, and an outline of high throughput data processing architectures necessary for developing AI applications.
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data warehousing, artificial intelligence, data piplelines
    
MemSQL
Published By: SAS     Published Date: Oct 18, 2017
Want to get even more value from your Hadoop implementation? Hadoop is an open-source software framework for running applications on large clusters of commodity hardware. As a result, it delivers fast processing and the ability to handle virtually limitless concurrent tasks and jobs, making it a remarkably low-cost complement to a traditional enterprise data infrastructure. This white paper presents the SAS portfolio of solutions that enable you to bring the full power of business analytics to Hadoop. These solutions span the entire analytic life cycle from data management to data exploration, model development and deployment.
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SAS
Published 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 theyre automatically enforced when changes occurjust 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.
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api, application programming interface, psd2, open banking, json, github
    
CA Technologies EMEA
Published 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
Published By: OnBase by Hyland     Published Date: Jun 26, 2017
Case management continues to gain traction as a key capability in the information management space supporting work that is unpredictable, information-centric and driven by human decisions. These are the processes that often directly touch your customers and stakeholders, including areas like contract management, claims processing, customer service, incident tracking and more. Download this eBook to explore three steps you can take to embrace a case management approach improving employee productivity and customer experiences.
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case, management, ebook, e-book, information, content, dynamic, applications, claims, processing, incident, tracking, solutions, software, strategy, knowledge, worker, enterprise
    
OnBase by Hyland
Published 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 Youll also find out how the technology works and what it has done for other businesses.
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sales, solutions, best practices, business process, business management, business intelligence
    
Esker
Published 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.
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ibm, apache spark, bluemix, analytics, enterprise applications
    
IBM
Published By: SnowFlake     Published Date: Jul 08, 2016
Todays data, and how that data is used, have changed dramatically in the past few years. Data now comes from everywherenot 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 todays 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 data centers.
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snowflake, data, technology, enterprise, application, best practices, social media, storage, business intelligence, cloud computing
    
SnowFlake
Published By: Esker     Published Date: Jun 29, 2016
In a perfect world, every sales order your company receives would go straight into your ERP 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 ERP applications - Eliminate the cost and errors of manual order processing - Consolidate resources to simplify your IT landscape Youll also find out how the technology works and what it has done for other businesses.
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sales, solutions, best practices, business process, business management, business intelligence, business process management
    
Esker
Published By: Esker     Published Date: Jun 29, 2016
In a perfect world, every sales order your company receives would go straight into your business 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 your ERP or other business applications. - Eliminate the cost and errors of manual order processing - Consolidate resources to simplify your IT landscape. Youll also find out how the technology works and what it has done for other businesses.
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sales, solutions, best practices, business process, business management, business intelligence
    
Esker
Published 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 Youll also find out how the technology works and what it has done for other businesses.
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sales, solutions, best practices, business process, business management, business intelligence
    
Esker
Published 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 havent been historically thought of as dependent on information technology. And that makes writing custom applications in support of an organizations business objectives more important than ever.
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red hat, paas, platform, developer, enterprise applications, platforms
    
Red Hat
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