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Published By: McAfee     Published Date: Mar 31, 2017
The software-defined data center (SDDC) holds tremendous promise forenterprise IT. Within the SDDC, the benefits of server virtualization areextended to storage and networking, so the entire infrastructure can beabstracted and centrally managed under a unified platform. IT teams areable to leverage unprecedented levels of virtualization, orchestration, andautomation to achieve the services-based delivery model that enables truedigital transformation.
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data center, networking
    
McAfee
Published By: McAfee     Published Date: Mar 31, 2017
The software-defined data center (SDDC) holds tremendous promise for enterprise IT. Within the SDDC, the benefits of server virtualization are extended to storage and networking, so the entire infrastructure can be abstracted and centrally managed under a unified platform. IT teams are able to leverage unprecedented levels of virtualization, orchestration, and automation to achieve the services-based delivery model that enables true digital transformation.
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data center, networking
    
McAfee
Published By: Cisco and NVIDIA Corporation     Published Date: Apr 03, 2018
These are interesting and challenging times to be in business. Digital forces, such as the cloud, big data, mobility, and mobile apps, are disrupting tried-and-true business models, as well as entire industries. These transformational advances are producing complexity, while workers are demanding simplicity. They require centralized infrastructures to keep information safe, even as agility and flexibility rule the day.
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Cisco and NVIDIA Corporation
Published By: Cumulus Networks     Published Date: Dec 30, 2016
By the year 2018, it is expected that over 25% of enterprise customers will adopt web-scale networking to build modern data centers. This rapid adoption can be attributed to businesses' increasing dependence on their data centers, while at the same time facing reduced IT budgets and limited staff to address their growing business needs. Fill out the form to download a TCO report on how organizations have saved an average of 45% on CapEx and approximately 74% on OpEx by adopting web-scale networking solutions from Cumulus Networks. You’ll learn how Cumulus modeled a real-life TCO calculator on the actual production path their customers took to build an agile, scalable, and cost-efficient data center.
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Cumulus Networks
Published By: DataDirect Technologies     Published Date: Mar 17, 2009
Connecting to a database requires a number of independent layers. The application needs to incorporate software that establishes the connection and calls to the database. A database connectivity layer needs to be in place to help manage security, communications, and data flow with the database. The database has a set of interfaces that help translate the client requests into actions within the database engine. And with the advent of .NET, the costs of managed versus non-managed code must also be considered.
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.net, data direct, microsoft .net architecture, scaling, effective architectural design, virtual machine, intermediate language, component object model, com, windows operating system, com-based code, cpu utilization, optimize database connectivity
    
DataDirect Technologies
Published By: Five9     Published Date: Apr 29, 2013
NJ 2-1-1 is a free phone number and online database that connects New Jersey residents quickly and effectively to community resources and emergency information. It is part of a growing national model that provides 190 million Americans in all 50 states.
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five9, cloud, cloud computing, cloud-based contact center, contact center software, hurricane sandy
    
Five9
Published By: IBM     Published Date: Apr 29, 2014
Customer Profitability Analytics enables banks to analyze customer, account, product, and transaction data and apply costing models to determine a bank-wide view of profitability. Applying predictive analytics, they can model future behavior and derive a lifetime value for each customer.
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ibm, banking, customer profitability, customer profitability analytics, transaction data, predictive analytics, customer behavior
    
IBM
Published By: Lumension     Published Date: Feb 07, 2014
Java vulnerabilities have dominated the security headlines. Some observers now say organizations should simply turn off the ubiquitous software platform. But what if there were a better way?
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lumension, java vulnerabilities, unpatched vulnerabilities, blacklist order, third-party software, endpoint devices, data-security solutions, web content, security model, dll protection, it environments, security suite, endpoint protection, e-security, targeted phishing, organized attacks, vulnerability management
    
Lumension
Published By: Mintigo     Published Date: Nov 20, 2017
Lead scoring models were put in place to prioritize leads for follow-up, nurture and marketing investment. However, with guesswork and data coming from disparate sources, traditional lead scoring has a host of limitations. In today’s competitive landscape, organizations needs to embrace more advanced and reliable scoring models to succeed. Read this ebook to learn 4 reasons why traditional lead scoring is not adequate, and why scoring with AI is necessary.
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Mintigo
Published By: Group M_IBM Q119     Published Date: Jan 08, 2019
• Do you want to win with AI in the hybrid, multi cloud world? Are you tackling data, algorithms and apps to drive business value from AI? We got you covered. Come and learn how you can simplify and scale your AI projects on Watson Studio. Hybrid cloud use cases spanning cloud, desktop and local are featured. Key Takeaways: • Open, trustworthy and secure approach to put AI to work for business • Go live and scale faster with AI-infused platform • Build train and deploy models across hybrid, cloud environments – including popular public cloud environments like AWS and Azure • Flexibility for cloud, on-premise and desktop deployment, bringing algorithms to wherever data resides • Progressing your AI/data science with Watson Studio • Register now and get ready to simplify and scale your AI investments to work for your business.
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Group M_IBM Q119
Published By: IBM     Published Date: May 27, 2014
If insurers want to succeed in today's digital world, they need to create experiences and business models that are orchestrated, symbiotic, contextual and cognitive.
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ibm, big data, insurance, digital insurer, business model, insurance industry, technology, integration, social business
    
IBM
Published By: IBM     Published Date: Nov 19, 2014
Risk Management: General: Partially cloudy: the benefits of hybrid deployment models
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ibm, risk management, big data, data management, operational risk, event data, risk aware, risk solutions, hybrid deployment, deployment models
    
IBM
Published By: IBM     Published Date: Jul 19, 2016
Learn how IBM Cognos Analytics incorporates many governed discovery features, with which business users can easily expose the underlying data modelling of existing reports and modify it to an individual or departmental requirements
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ibm, ibm cognos analytics, analytics, business intelligence, business analytics
    
IBM
Published By: VSS Monitoring     Published Date: Aug 01, 2014
Learn how to leverage a big data model in the network monitoring domain and see how IT is shifting away from the long-term viability of the existing network monitoring model.
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networking, big data, network monitoring, optimization, data center
    
VSS Monitoring
Published By: IBM     Published Date: Jul 01, 2015
This white paper discusses how enterprise analytics systems can assist provider organizations in building sustainable healthcare systems and achieving their vision for accountable care
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healthcare analytics, data blueprint, enterprise analytics systems, sustainable healthcare systems, mission-critical analysis, integrated data model, operational analytics, information technology, enterprise resource planning, electronic health records, enterprise content management
    
IBM
Published By: Cylance     Published Date: Jul 02, 2018
The information security world is rich with information. From reviewing logs to analyzing malware, information is everywhere and in vast quantities, more than the workforce can cover. Artificial intelligence (AI) is a field of study that is adept at applying intelligence to vast amounts of data and deriving meaningful results. In this book, we will cover machine learning techniques in practical situations to improve your ability to thrive in a data driven world. With clustering, we will explore grouping items and identifying anomalies. With classification, we’ll cover how to train a model to distinguish between classes of inputs. In probability, we’ll answer the question “What are the odds?” and make use of the results. With deep learning, we’ll dive into the powerful biology inspired realms of AI that power some of the most effective methods in machine learning today. Learn more about AI in this eBook.
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artificial, intelligence, enterprise
    
Cylance
Published By: SAS     Published Date: Mar 06, 2018
The 2016 ACFE Report to the Nations on Occupational Fraud and Abuse analyzed 2,410 occupational fraud cases that caused a total loss of more than $6.3 billion.8 Victim organizations that lacked anti-fraud controls suffered double the amount of median losses. SAS’ unique, hybrid approach to insider threat deterrence – which combines traditional detection methods and investigative methodologies with behavioral analysis – enables complete, continuous monitoring. As a result, government agencies and companies can take pre-emptive action before damaging incidents occur. Equally important, SAS solutions are powerful yet simple to use, reducing the need to hire a cadre of high-end data modelers and analytics specialists. Automation of data integration and analytics processing makes it easy to deploy into daily operations.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
The most recent decade has seen rapid advances in connectivity, mobility, analytics, scalability, and data, spawning what has been called the fourth industrial revolution, or Industry 4.0. This fourth industrial revolution has digitalized operations and resulted in transformations in manufacturing efficiency, supply chain performance, product innovation, and in some cases enabled entirely new business models. This transformation should be top of mind for quality leaders, as quality improvement and monitoring are among the top use cases for Industry 4.0. Quality 4.0 is closely aligning quality management with Industry 4.0 to enable enterprise efficiencies, performance, innovation and business models. However, much of the market isn’t focusing on Quality 4.0, since many quality teams are still trying to solve yesterday’s problems: inefficiency caused by fragmented systems, manual metrics calculations, quality teams independently performing quality work with minimal cross-functional own
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SAS
Published By: IBM     Published Date: Sep 11, 2013
Through this whitepaper from IBM you will learn how to use predictive intelligence to make faster and better decisions
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spss, modeling, data mining, ibm, spss modeler, business analytst
    
IBM
Published By: IBM     Published Date: Sep 11, 2013
Learn how customer profitability analytics enables banks to analyze customer, account, product, and transaction data and apply costing models to determine a bank-wide view of profitability
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banks, customer profitability analytics, analytics, account, product, transaction data, costing models
    
IBM
Published By: IBM     Published Date: Nov 14, 2014
IBM SPSS Modeler is a powerful, versatile data and text analytics workbench. Learn how you can build accurate predictive models quickly and intuitively, without programming. So you can use data to understand the current state of your organization and get a view into the future.
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ibm, webinar, business intelligence, entity analytics, modeler, automated modeling, predictive intelligence, building models, spss modeler gold
    
IBM
Published By: Symantec     Published Date: Jul 11, 2017
The technology pendulum is always swinging. And chief information security officers must be prepared to swing with it—or get clocked. A look at recent history illustrates the oscillating nature of technology. In the 1980s, IBM mainframes dominated the landscape. In the ’90s, client-server computing came on the scene and data was distributed on personal computers. When the Web assumed predominance, the pendulum started to swing back to a centralized server. Then, just as quickly, mobile took the lead, with apps downloaded to workers’ devices—the new client server. Now, as mobile devices continue to populate the enterprise at a rapid rate, the IT model is changing again—to the provisioning of information on a just-what’s-needed, just-in-time basis from centralized servers consolidated in the cloud. The pendulum continues to swing and IT workloads are moving to the cloud en masse.
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cloud, security, data protection, data loss, information security
    
Symantec
Published By: IBM     Published Date: Aug 05, 2014
Watson Explorer provides organizations with a combined, trusted 360-degree view of both structured and unstructured data. The solution indexes information from unstructured data sources (PDFs, Microsoft SharePoint, flat files, social media, blogs and so on) as well as structured sources for search and discovery. Organizations can leverage their data in place, respecting existing security models when creating this virtual access point to all information. Watson Explorer requires trusted master data to ensure that links are accurate and reliable, so the end user can confidently leverage a holistic view of a customer or product.
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ibm, data, customer, watson explorer, master data, structured
    
IBM
Published By: IBM     Published Date: Apr 09, 2015
As The Business Becomes Digital, Security Must Become Data-Centric S&R leaders of enterprises undergoing a digital transformation will soon realize that in order to adequately ensure customer protection and enable a digital workforce, S&R pros must abandon traditional perimeter-based security and put the focus on the data by embracing Forrester’s Zero Trust Model.
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data security, ibm, customer protection, digital workforce, zero trust model
    
IBM
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