intelligence applications

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Published By: Vertica     Published Date: Mar 15, 2010
Revenue assurance analysts at a top-tier US-based carrier studied this every day. Primarily focused on detecting fraud, revenue sharing contract violations and incomplete revenue collections, they had the need to query and analyze call detail record (CDR) databases that grow by millions of new CDRs every day.
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vertica, ec2, cdr, elastic, saas, dbms, sql, acid transactions
    
Vertica
Published By: Vertica     Published Date: Mar 15, 2010
In a world of growing data volumes and shrinking IT budgets, it is critical to think differently about the efficiency of your database and storage infrastructure. The Vertica Analytic Database is a high-performance, scalable and cost-effective solution that can bring dramatic savings in hardware, storage and operational costs.
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vertica, ec2, cdr, elastic, saas, cdr, cloud computing, data management
    
Vertica
Published By: Cognos     Published Date: Jun 19, 2007
Read how Cognos 8 Business Intelligence delivers complete reporting to all users with one business intelligence product—to make it simpler, faster, and easier to manage.
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business intelligence, workflow, report, dashboard, business activities, cognos, analytical apps, analytical applications
    
Cognos
Published By: IBM     Published Date: Jul 05, 2012
IBM Cognos BI offers complete perspectives on business intelligence and analytics through a single, unified workspace. Read the white paper and see how Power Systems runs Cognos BI applications-on distributed or consolidated servers-for greater business value as well as improved availability, virtualization, performance and energy efficiency.
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ibm, technology, sap, sofrware, technology, migration factory, storage
    
IBM
Published By: CDW     Published Date: Apr 04, 2016
Hewlett Packard Enterprise is helping protect organizations by building security and resiliency into the fabric of their enterprise, proactively detecting and responding to threats, and safeguarding continuity and compliance to effectively mitigate risk.
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security, business metrics, best practices, business intelligence, enterprise applications
    
CDW
Published By: Polycom     Published Date: Apr 30, 2013
Wearable operational video (such as helmet cams), mobile cameras and sensors, and other visual technologies can provide crucial intelligence, which then can be gathered, communicated to personnel in disparate locations, and integrated to enable unified collaboration for public security responses. The possibility is emerging for a new generation of video applications that will enhance public security and disaster management.
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videoconferencing, telepresence, video application, real time video, intelligence, security, crisis management
    
Polycom
Published By: Flexera     Published Date: Feb 19, 2019
Flexera’s Software Vulnerability Research allows effective reduction of the attack surface for cybercriminals, providing access to verified vulnerability intelligence from Secunia Research covering all applications and systems across all platforms. It drives a prioritized remediation process by handling vulnerability workflows, tickets and alerts, and describes the steps to mitigate the risk of costly breaches. You Don’t Know What You Don’t Know It’s hard for enterprise security analysts to get reliable and trusted information about software vulnerabilities and then identify and filter that data for just the products that matter to their organization. Those challenges lead to wasted time and effort. Learn more.
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Flexera
Published By: CDW-HPE Servers     Published Date: Apr 07, 2016
Hewlett Packard Enterprise is helping protect organizations by building security and resiliency into the fabric of their enterprise, proactively detecting and responding to threats, and safeguarding continuity and compliance to effectively mitigate risk.
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security, business metrics, best practices, business intelligence, enterprise applications
    
CDW-HPE Servers
Published By: AWS     Published Date: Oct 30, 2018
As cybercriminals look for new ways to break through defenses, it’s vital that organizations have access to real-time operational intelligence across their applications, services, and security infrastructure. As Recreational Equipment, Inc. (REI) migrated applications to Amazon Web Services (AWS), it needed to expand security capacity for edge protection of its AWS VPCs. REI chose Splunk for security monitoring, historical analysis, and data visualization in real time, to help it investigate events and mitigate operational risks.
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rei, intelligent, threat, detection, edge, protection, aws, splunk
    
AWS
Published By: Oco, Inc.     Published Date: Apr 18, 2008
The business intelligence (BI) “boom” of the 1990s was something BIG: big projects designed to give big companies with big budgets a competitive advantage. And while BI delivered big returns for some companies, for others it was nothing but a big headache. An estimated 50% of all data warehousing projects failed to meet their goals. Why? Because many companies underestimated just how big an undertaking BI really was.
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oco, business intelligence, software as a service, saas, business intelligence, bi applications, business intelligence applications, roi
    
Oco, Inc.
Published By: Brandwatch     Published Date: Nov 03, 2016
Learn how social media intelligence can fill gaps in your research mix. We provide six unique benefits of social media research, four key layers of the social intelligence stack and eight core applications of social media data for modern businesses.
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social media, consumer insights, market research, b2b marketing, consumer market insights, social data, social insights, social listening
    
Brandwatch
Published By: SAP     Published Date: May 15, 2008
Read this white paper by Don Tapscott and explore the criteria best-in-class hospitals use for selecting business intelligence solutions. Companies that learn to effectively harness the information generated by their IT systems will enjoy substantial productivity improvements.
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sap, business intelligence, healthcare sector, healthcare industry, bi applications, bi tools, inter-departmental processes
    
SAP
Published By: SAP     Published Date: Feb 10, 2011
Prompted by volatile markets and a troubled economy, the need to contain or reduce costs is key for small to medium size enterprises (SMEs). In the pursuit of cost reductions and in the struggle to sustain and grow revenue and profits it becomes more and more important to preserve the level of visibility that becomes elusive as SMEs grow in both size and complexity. Download this research now to learn more.
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sap, business intelligence, erp, sme, shipping, transportation, enterprise applications
    
SAP
Published By: SAP     Published Date: Jun 27, 2009
As corporations become more dependent on their ERP systems, they struggle to strike the right balance between regularly updating the software and minimizing cost and disruption to the business. This Report offers advice on how to develop and communicate a practical upgrade strategy and then build an effective process for maintaining your ERP asset.
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sap, business intelligence, erp, sme, shipping, transportation, enterprise applications, enterprise
    
SAP
Published By: SAP     Published Date: Aug 03, 2010
Today, the ERP reality is very different, and much more beneficial, for smaller firms. A variety of options have emerged to address and overcome the key concerns and obstacles of the past. Learn about the drivers that force these executives to address an ERP decision, the considerations involved in those decisions, and critical implementation factors once an ERP decision is made.
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sap, business intelligence, erp, sme, shipping, transportation, enterprise applications, smb
    
SAP
Published By: SAP     Published Date: Mar 24, 2011
In spite of the growth of virtual business activities performed via the World Wide Web, every business transaction or operation is performed at a physical place. And as handheld GPS devices drive a growing awareness of the concept of "location," people are increasingly looking for operational efficiencies, revenue growth, or more effective management as a result of geographic data services and location-based intelligence. In this white paper, David Loshin, president of Knowledge Integrity, Inc., introduces geographic data services (such as geocoding and proximity matching) and discusses how they are employed in both operational and analytical business applications. The paper also reviews analytical techniques applied across many types of organizations and examines a number of industry-specific usage scenarios.
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location-based bi, business value, geographic enhancement
    
SAP
Published By: SAP     Published Date: Apr 13, 2011
SAP® BusinessObjectsT Edge BI software is ideal for midsize companies wanting to improve business intelligence (BI) processes and get an edge on the competition. It can help you address just about any BI requirement - and leverage the applications, data sources, and platforms your company already uses.
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sap businessobjects edge bi, business intelligence processes, midsize companies, data management, data integration, data warehouse
    
SAP
Published By: SAP     Published Date: Nov 22, 2011
Analytics has moved from the specialty of a dedicated few to a necessity for broad groups of business professionals to do their job. This white paper considers the use of analytics and business intelligence in the banking industry for improving decision making and the benefits of prebuilt analytic applications for achieving this objective across many functions in a banking organization.
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idc, finance, technology, business, banking, analytics, decision making
    
SAP
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
Artificial intelligence (AI) technologies are rapidly moving beyond the realms of academia and speculative fiction to enter the commercial mainstream, with innovative products that utilize AI transforming how we access and leverage information. AI is also becoming strategically important to national defense and in securing our critical financial, energy, intelligence, and communications infrastructures against state-sponsored cyberattacks. According to an October 2016 report issued by the federal government’s National Science and Technology Council Committee on Technology (NSTCC), “AI has important applications in cybersecurity, and is expected to play an increasing role for both defensive and offensive cyber measures.” Based on this projection, the NSTCC has issued a National Artificial Intelligence Research and Development Strategic Plan to guide federally-funded research and development. The era of AI has most definitely arrived, but many still don’t understand the basics of this im
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artificial, intelligence, cybersecurity, machine
    
BlackBerry Cylance
Published By: SAS     Published Date: Mar 06, 2018
Today's artifical intelligence (AI) solutions are not sentient in the manner popularized in science fiction by scores of self-aware and typically nefarious androids. Even so, the ability to arm such systems with the ability to directly sense and respond to their in situ environment is critical. Why? In the future, our experiences will be smart, intuitive and informed by analytics that are not seen but felt via new business, personal and operational engagement models. Enabling this interaction requires AI applications that can sense, analyze and respond to their environment in an intelligent and interactive manner. Without requiring the end user to write, understand or interpret code. “Sensitive” artificial intelligence enables: • More productive use of expanded (big, often unstructured) information sources • Intuitive man-machine interactions (no code-speak here!) • Adaptive, immersive experiences and environments As frequently touted on the nightly news, AI’s popularity is clear. Ho
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SAS
Published By: SAS     Published Date: Mar 06, 2018
With decisions riding on the timeliness and quality of analytics, business stakeholders are less patient with delays in the development of new applications that provide reports, analysis, and access to diverse data itself. Executives, managers, and frontline personnel fear that decisions based on old and incomplete data or formulated using slow, outmoded, and limited reporting functionality will be bad decisions. A deficient information supply chain hinders quick responses to shifting situations and increases exposure to financial and regulatory risk—putting a business at a competitive disadvantage. Stakeholders are demanding better access to data, faster development of business intelligence (BI) and analytics applications, and agile solutions in sync with requirements.
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SAS
Published By: Appistry     Published Date: Oct 11, 2007
Organizations serving the intelligence & defense community rely on the performance of their applications for more than revenue - national security depends upon those applications for mission-critical operations. This industry profile details how Appistry provides the reliability and performance demanded by intelligence & defense organizations.
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application fabric, performance computing, application performance, grid computing, infrastructure, appistry
    
Appistry
Published By: IBM     Published Date: Oct 24, 2013
Learn how automating 'Last Mile of Finance' processes can help CFOs and their finance teams meet expanded reporting requirements--including XBRL tagging.
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ibm, cognos disclosure management, business intelligence, data collection, last mile of finance, account reconciliation, internal management, financial reporting
    
IBM
Published By: Group M_IBM Q2'19     Published Date: May 23, 2019
Defense and intelligence agencies want to leverage the data they collect so they can use artificial intelligence to enhance readiness – but most who run these programs don’t know how to get started and find it difficult to make the business case to their leadership. In this research report, created by GovLoop in partnership with IBM, which provides innovative technology solutions for national security and military intelligence, you’re going to learn where your peers stand—and some practical tips on how to get started—even if you think your data is “dirty” or not ready for advanced applications.
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Group M_IBM Q2'19
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy. IDC believes that this emerging environment is to date still highly undefined, even as businesses must make critical decisions. Should businesses develop in-house or use VARs, systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some hybrid form? Can they use existing infrastructure, or do AI applications and deep learning require new servers with new capabilities? We believe that many of these questions can be
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Group M_IBM Q418
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