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Published By: Vision Solutions     Published Date: Feb 18, 2008
Continuous member service is an important deliverable for credit unions, and. the continued growth in assets and members means that the impact of downtime is affecting a larger base and is therefore potentially much more costly. Learn how new data protection and recovery technologies are making a huge impact on downtime for credit unions that depend on AIX-hosted applications.
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vision, high availability, ibm, aix, cdp, core union
    
Vision Solutions
Published By: IBM     Published Date: Nov 30, 2017
Analyst firm, Enterprise Strategy Group (ESG), makes the case for storing backup, archive and content repository data in the cloud. Learn how IBM Cloud Object Storage addresses these use cases and helps companies lower costs, provide higher availability and protect against unauthorized access to their data. Complete the form to download the analyst paper
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ibm cloud, archival solutions, ibm, it services, storage, production storage, data management
    
IBM
Published By: IBM     Published Date: Nov 30, 2017
Analyst firm, Enterprise Strategy Group, examines how companies can leverage cloud-based data lakes and self-service analytics for timely business insights that weren’t possible until now. And learn how IBM Cloud Object Storage, as a persistent storage layer, powers analytics and business intelligence solutions on the IBM Cloud. Complete the form to download the analyst paper.
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analytics, technology, digital transformation, data lake, always-on data lake, ibm, cloud-based analytics
    
IBM
Published By: Cisco EMEA Tier 3 ABM     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA Tier 3 ABM
Published By: Financial Force     Published Date: Dec 01, 2017
Mention artificial intelligence (AI) to a person on the street, and you'll conjure up Hollywood visions ranging from the humanity-crushing Skynet of the Terminator series to the robot love interests in Her or Ex Machina. Perspectives on the tangible impact of AI similarly range from Elon Musk's declaration of AI as "the greatest risk we face as a civilization" to IBM Chief Science Officer Dr. Guruduth Banavar's belief that "we've never known technology that can have a greater benefit to all of society than artificial intelligence". The reality, especially in the short term, likely lies somewhere between these extremes.
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Financial Force
Published By: Cisco     Published Date: Jan 05, 2015
The Cisco UCS solution provides all management and configuration services at the centrally located Fabric Interconnects, so you can manage large-scale deployments from a single location. This method lets you consolidate hardware and streamline management. The IBM Flex System solution uses a distributed management model with chassis-level control. This method adds to the complexity to the hardware configuration, which can increase management needs.
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datacenter, data management, collaborations, business capabilities
    
Cisco
Published By: IBM     Published Date: Jan 05, 2017
testing landing pages
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IBM
Published By: IBM     Published Date: Feb 10, 2017
testing upload
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IBM
Published By: IBM     Published Date: Feb 10, 2017
testing
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IBM
Published By: IBM     Published Date: Feb 10, 2017
upload test #3
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IBM
Published By: IBM     Published Date: Feb 10, 2017
testing 5.14pm
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IBM
Published By: IBM     Published Date: Feb 10, 2017
testing asset with underscores test #1
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IBM
Published By: IBM     Published Date: Feb 10, 2017
testing underscores in assets #2
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IBM
Published By: IBM     Published Date: Feb 10, 2017
testing upload with underscores #3
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IBM
Published By: Oracle CX     Published Date: Oct 20, 2017
For the past several years IBM has been divesting its hardware business. At the same time, Oracle has continued to invest in IT infrastructure and cloud innovation. Oracle SPARC servers offer you greater performance and efficiency compared to IBM Power systems, with additional security and lower costs, along with the flexibility to run your applications on-premises or in the Oracle Cloud.
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Oracle CX
Published By: Oracle CX     Published Date: Oct 20, 2017
Oracle is making significant engineering investments to ensure that Oracle systems coupled with Oracle software deliver the best possible business results. Integrated hardware, accelerated virtualization, and encryption ensure that cloud deployments benefit from the utmost agility and security without suffering performance losses.
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Oracle CX
Published By: IBM APAC     Published Date: Nov 22, 2017
A user initiates the call and selects the source language, such as Spanish. (In this example, assume that the target language is set to English.) As the user is talking to the support representative, the audio is converted to text using the Speech to Text service. Then using Language Translator, the text is translated to English. English language text is then sent to the Text to Speech service as input. The output audio message is what the support representative hears. All of this happens in near real time. The text from Speech to Text and the Language Translator service also can be stored in a database for analytics. The same process is repeated in reverse for the audio message sent by support personnel.
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source, language, english, spanish, speech to text, database, analytics, audio message
    
IBM APAC
Published By: IBM APAC     Published Date: Nov 22, 2017
Using IBM Watson’s cognitive capabilities, companies can quickly differentiate their customer service quality by being more pro active and responsive to customer needs. Simply put, chatbots and virtual agents are the future of customer interactions. Building apps from scratch that incorporate natural language processing, speech to text recognition, visual recognition, analytics, and artificial intelligence requires broad expertise in these disciplines, large staffs, and a huge financial commitment. Making use of IBM Watson cognitive services brings these capabilities in-house quickly and without the capital investment that would be needed to develop the technologies within an organization.
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decision making, deeper data, insights, cognitive, analytics, ibm, watson, virtual agents
    
IBM APAC
Published By: IBM APAC     Published Date: Nov 22, 2017
Glossary:Terms You Should Know Take your data analysis and deep learning expertise to the next level with these industry terms.
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api, application, programming, interface, artificial intelligence, base, encoding, chrome
    
IBM APAC
Published By: IBM APAC     Published Date: Nov 22, 2017
It is imperative that organizations start looking now for smarter solutions to the problems associated with unstructured data. There are many issues related to unstructured data that need to be readily addressed such as storage, discovery, organization, tagging and deduplication. One of the most important issues related to unstructured data is finding and discovering key business insights as quickly as possible, preferably in near real time, to gain a significant competitive advantage.
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storage, discovery, organization, tagging, deduplication, competitive, advantage
    
IBM APAC
Published By: IBM APAC     Published Date: Nov 22, 2017
AlchemyAPI’s approach to natural language processing incorporates both linguistic and statistical analysis techniques into a single unified system. This hybrid approach provides an industry-leading advantage since both techniques have benefits and drawbacks depending on the content and specific usecases. Linguistic analysis takes a basic grammatical approach to understand how words combine into phrases, and how those phrases combine into sentences. While this approach works well with editorialized text (e.g., news articles and press releases), it does not perform as well when it comes to usergenerated content, often filled with slang, misspellings and idioms. Statistical analysis, however, understands language from a mathematical standpoint and works well on “noisy” content (e.g., tweets, blog posts, and Facebook status updates). The combination of these two approaches allows for increased accuracy on a variety of content.
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industry, advantage, linguistic, grammatical, statistical analysis, content
    
IBM APAC
Published By: International Business Systems (IBS)     Published Date: Aug 29, 2011
Powered by IBM i Solution Editions hardware, IBS's ERP applications enable improved efficiencies, scalability and cost savings.
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ibs, distribution logistics, distribution management, wholesale distribution, distribution resource management, supply chain management, erp, enterprise
    
International Business Systems (IBS)
Published By: SAS     Published Date: Apr 16, 2015
Former Intel CEO Andy Grove once coined the phrase, “Technology happens.” As true as Grove’s pat aphorism has become, it’s not always good news. Twenty years ago, no one ever got fired for buying IBM. In the heyday of customer relationship management (CRM), companies bought first and asked questions later. Nowadays, executives are being enlightened by the promise of big data technologies and the role data plays in the fact-based enterprise. Leaders in business and IT alike are waking up to the reality that – despite the hype around platforms and processing speeds – their companies have failed to established sustained processes and skills around data.
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SAS
Published By: IBM APAC     Published Date: Jul 09, 2017
In a recent report, Aberdeen's research suggests that Hadoop usage could be a catalyst for an enhanced and well-rounded data strategy. Read on to find out more.
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hadoop, big data, data strategy
    
IBM APAC
Published By: IBM APAC     Published Date: Jul 09, 2017
Organizations today collect a tremendous amount of data and are bolstering their analytics capabilities to generate new, data-driven insights from this expanding resource. To make the most of growing data volumes, they need to provide rapid access to data across the enterprise. At the same time, they need efficient and workable ways to store and manage data over the long term. A governed data lake approach offers an opportunity to manage these challenges. Download this white paper to find out more.
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data lake, big data, analytics
    
IBM APAC
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