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intelligence systems

Results 1 - 25 of 63Sort Results By: Published Date | Title | Company Name
Published By: Aberdeen     Published Date: Jun 17, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
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aberdeen, michael lock, data-driven decisions, business intelligence, public sector, analytics, federal, state
    
Aberdeen
Published By: Aberdeen Group     Published Date: Jun 02, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
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aberdeen, michael lock, data-driven decisions, business intelligence, public sector, analytics, federal, state
    
Aberdeen Group
Published By: Attivio     Published Date: Apr 07, 2010
In this paper, well known data management authority Mark Albala proposes replacing the reliance on data models as the fixed navigation scheme used for storing, reporting and analyzing information with a new unified information access capability that enables more agile, insightful and pro-active decisions.
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attivio, post-discovery intelligent application, analytic information delivery, business intelligence, enterprise applications, executive information systems, eis
    
Attivio
Published By: BAE Systems     Published Date: Dec 29, 2015
How to secure your network without busting your IT budget
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bae systems, applied intelligence, fortune 500, business security, network security, it management, security products, security systems
    
BAE Systems
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
SE Labs tested CylancePROTECT® in an offline environment against major threats that subsequently appeared in the wild. The test explores the product’s ability to prevent new threats from attacking endpoint systems successfully. CylancePROTECT contains technology designed to identify and block malware using what it claims to be an “artificial intelligence” (AI) model. This model can be updated over time. However, in this test we used the model created in May 2015 and did not permit further updates so that the software was unable to receive new models or edit the existing one. The test exposed systems protected by this older version of CylancePROTECT to very impactful threats discovered and reported widely after May 2015. In this way, the test shows to what extent the product was able to predict how future threats would appear. This “Predictive Advantage” (PA), the advantage that users of the product have against future adversaries, is presented in this report.
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malware, predictive, test, response
    
BlackBerry Cylance
Published By: Bronto     Published Date: Jul 10, 2017
Artificial intelligence (AI) is a hot topic in commerce marketing and may be the fastest growing technology trend today. Experts believe AI will have a huge impact on our daily lives, our interactions with one another and the broader economy. A growing number of commerce marketing software providers claim their systems use AI. But it can be difficult to know for sure what that means for your brand and how you can use it to market products and services more effectively to consumers. Does the rise of AI and related technologies signal a sea change in commerce marketing? In a word, yes. Let’s take a closer look at these techniques and how they can boost your marketing efforts and success. We’ll also look at their limitations and the questions you can ask to help you distinguish between marketing hype and tools that can provide value for your business.
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artificial intelligence, commerce marketing, branding
    
Bronto
Published By: Cisco     Published Date: Apr 08, 2015
This document will identify the essential capabilities you should seek in an advanced malware protection solution, the key questions you should ask your advanced malware protection vendor, and shows you how Cisco combats today’s advanced malware attacks using a combination of four techniques: ? Big data analytics ? Collective global security intelligence ? Enforcement across multiple form factors (networks, endpoints, mobile devices, secure gateways, and virtual systems) ? Continuous analysis and retrospective security
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protection, analytics, global security, intelligence, virtual, gateway, attacks, malware
    
Cisco
Published By: Cisco     Published Date: Jul 08, 2016
What You Will Learn: This document will identify the essential capabilities you need in an advanced malware protection solution, the key questions you should ask your vendor, and shows you how Cisco combats today’s advanced malware attacks using a combination of four techniques: • Advanced analytics • Collective global security threat intelligence • Enforcement across multiple form factors (networks, endpoints, mobile devices, secure gateways, and virtual systems) • Continuous analysis and retrospective security
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Cisco
Published By: Cisco Umbrella EMEA     Published Date: Aug 08, 2019
"The average company uses more than 50 security vendors: firewalls, web proxies, SIEM, appliances, intelligence - and the list goes on. Do you have more security tools than you can handle? There’s an easier way to make the most of your existing investments. We'll share ways you can reduce security alerts and extend your security off network, anywhere users go, with Cisco Umbrella. Built with a bidirectional API, Cisco Umbrella easily integrates with the other systems in your stack, so you can extend protection from on-premises security appliances to devices and sites beyond your perimeter — and amplify investments you’ve already made. Read the eBook to learn more about getting more bang for your security buck."
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Cisco Umbrella EMEA
Published By: Cisco Umbrella EMEA     Published Date: Nov 15, 2019
The average company uses more than 50 security vendors: firewalls, web proxies, SIEM, appliances, intelligence - and the list goes on. Do you have more security tools than you can handle? There’s an easier way to make the most of your existing investments. We'll share ways you can reduce security alerts and extend your security off network, anywhere users go, with Cisco Umbrella. Built with a bidirectional API, Cisco Umbrella easily integrates with the other systems in your stack, so you can extend protection from on-premises security appliances to devices and sites beyond your perimeter — and amplify investments you’ve already made. Read the eBook to learn more about getting more bang for your security buck.
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Cisco Umbrella EMEA
Published By: Cognizant     Published Date: Oct 23, 2018
Incorporating artificial intelligence into your business systems and processes is a journey unlike any other digital technology implementation. There is no utility AI. Every company must chart its own path to success. This white paper offers insights and recommendations to help organizations identify use cases, pilot and learn from them, and then repeat the process so AI becomes a key element in the organization’s continuous improvement.
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cognizant, artificial intelligence
    
Cognizant
Published By: Dell - NVIDIA     Published Date: Nov 04, 2019
Artificial intelligence (AI), machine learning (ML), and deep learning (DL) technologies are expected to permeate day-to-day business as well as customer activity. Industries such as healthcare (advanced diagnosis and treatment), transportation (advanced driver assistance systems and autonomous vehicles), and life sciences (rare disease treatment research) are some of the early adopters of AI. The goal for any organization adopting AI/ML/DL is to deliver meaningful insights and predictions that can significantly improve products, processes, or services across industries and use cases. Today, as AI becomes mainstream, many organizations find themselves in the initial proof-of-concept (POC) stage; only a few are in full production. IDC's 2019 Artificial Intelligence Global Adoption Trends and Strategies Survey found that 18% of organizations had AI models in production, 16% were in the POC stage, and 15% were experimenting with AI.
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Dell - NVIDIA
Published By: Epicor     Published Date: Jun 22, 2017
If you’ve started to think your lumber and building materials (LBM) business could be getting more from your software, then it might be time for a change. It is no longer sufficient to own a solution that is “good enough.” The most successful LBM companies know that growth comes from integrated online trading, access to business intelligence tools, and using technology to be more efficient. It can be daunting to make the switch to a new enterprise resource planning (ERP) system, and with so many options, it’s hard to know when if you’re choosing the right one. Epicor has provided LBM businesses with the tools needed to make the most informed software choice. The lumber and building materials solutions evaluation kit consists of three white papers that tell you: • How to know when you’ve outgrown your current software solution • How to choose between generic and industry-specific ERP systems • How to outperform in an era of LBM sales growth You’re ready for growth. Learn how Epicor ca
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lumber, building materials, lbm, erp, bistrack, building materials distributors, lumber distributors, lumber manufacturers
    
Epicor
Published By: Flexera     Published Date: Sep 08, 2016
This white paper will discuss the key elements of Software Vulnerability Management and how a properly deployed solution based on Vulnerability Intelligence will help organizations to maintain compliance and further secure their IT systems from breaches, attacks and data loss
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Flexera
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: 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
Published By: HERE Technologies     Published Date: Sep 27, 2018
Location has become paramount to building new apps, services, experiences and business models. If data is the new oil, then location is the crude oil. This is why most of the top location platform players have been developing technologies to power next-generation autonomous mobility systems. And the “richness” of location data and real-time intelligence are becoming strong monetization opportunities. The 2018 Counterpoint Research Location Ecosystems Update compared 16 location platform vendors, including Google, TomTom and Mapbox. Learn why the HERE Open Location Platform – described as super-rich, always up-to-date, and a neutral offering – is a leader in the location data arena.
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HERE Technologies
Published By: Hewlett Packard Enterprise     Published Date: Jun 17, 2019
"Cloud-based predictive analytics platforms are a relatively new phenomenon, and they go far beyond the remote monitoring systems of a prior generation. Three key features differentiate cloud-based predictive analytics — data sharing, scope of monitoring, and use of artificial intelligence/machine learning (AI/ML) to drive autonomous operations. To help familiarize the uninitiated with specifically what types of value these systems can drive, IDC discusses them at some length in this white paper."
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Hewlett Packard Enterprise
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, business technology
    
IBM
Published By: IBM     Published Date: Jul 25, 2012
As it has been the trend over the last decade, organizations must continue to deal with growing data storage requirements with the same or less resources. The growing adoption of storage-as-a-service, business intelligence, and big data results in ever more Service Level Agreements that are difficult to fulfill without IT administrators spending ever longer hours in the data center. Many organizations now expect their capital expense growth for storage to be unstoppable, and see operating expense levers - such as purchasing storage systems that are easy to manage - as the only way to control data storage-related costs.
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infrastructure, technology, cloud, storage, virtualization, data management, business technology, cloud computing
    
IBM
Published By: IBM     Published Date: Jan 02, 2014
Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits. Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits.
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ibm, business analytics, midsize businesses, geeknet, business intelligence, customer volatility, market volatility, variety of data
    
IBM
Published By: IBM     Published Date: Oct 06, 2014
Business Intelligence (BI) has become a mandatory part of every enterprise’s decision-making fabric. Unfortunately in many cases, with this rise in popularity, came a significant and disturbing complexity. Many BI environments began to have a myriad of moving parts: data warehouses and data marts deployed on multiple platforms and technologies – each requiring significant effort to ensure performance and support for the various needs and skill sets of the business resources using the environment. These convoluted systems became hard to manage or enhance with new requirements. To remain viable and sustainable, they must be simplified. Fortunately today, we have the ability to build simpler BI technical environments that still support the necessary business requirements but without the ensuing management complexity. This paper covers what is needed to simplify BI environments and the technologies that support this simplification.
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data warehouses, bi environments, bi technologies, faster deployments, knowledge management
    
IBM
Published By: IBM     Published Date: Nov 05, 2014
This white paper provides insights into the current threat landscape for the financial services industry. Information is based on cyber security event data collected by IBM, as well as data derived from responding to, and performing forensics on, cyber security incidents.
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ibm, security, cyber security, business intelligence, financial services, protection, secure protection, business security
    
IBM
Published By: IBM     Published Date: Nov 05, 2014
How security and business continuity can shape the reputation and value of your company.
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ibm, security, cyber security, business intelligence, financial services, protection, secure protection, business security
    
IBM
Published By: IBM     Published Date: Feb 11, 2015
IBM solutions provide security intelligence across the enterprise with integrated threat analysis, real-time alerts, audit consolidation and compliance reporting to help protect against threats with a single view into the risks affecting mainframe and distributed systems.
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security intelligence, mainframe environments, ibm solutions, integrated threat analysis, distributed systems, security
    
IBM
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