intelligence systems

Results 1 - 25 of 49Sort 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.
Tags : 
aberdeen, michael lock, data-driven decisions, business intelligence, public sector, analytics, federal, state, governmental, decisions, data management
    
Aberdeen
Published By: IBM     Published Date: Jul 02, 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
Tags : 
    
IBM
Published By: 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.
Tags : 
malware, predictive, test, response
    
Cylance
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
Tags : 
    
Cisco
Published By: Pentaho     Published Date: Feb 26, 2015
Ventana’s benchmark research on big data integration will help you become familiar with the tools and technologies you need to help your organization succeed with big data.
Tags : 
benchmark research, big data integration, big data, business intelligence systems, business analytics, data integration, research
    
Pentaho
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.
Tags : 
aberdeen, michael lock, data-driven decisions, business intelligence, public sector, analytics, federal, state, governmental, decisions, data management
    
Aberdeen Group
Published By: IBM APAC     Published Date: May 18, 2017
Today, everything computes. Intelligence has been infused into things no one would recognize as computers: appliances, cars, roadways, clothes, even rivers and cornfields. Tomorrow, many of these things will think, thanks to breakthroughs in cognitive computing. Even the things that don’t think themselves will continue collecting and reporting the massive quantities of data that feed cognitive systems.
Tags : 
ibm, tss, cloud, mobile, appliances
    
IBM APAC
Published By: Oracle     Published Date: Aug 09, 2013
Talent management has moved to the top of the CEO’s agenda. In a 2012 global survey of CEOs and CFOs by the Economist Intelligence Unit, 53 percent of these leaders said that insufficient talent within their organization could harm them financially over the next 12 months. The number expressing financial concerns rose to 67 percent at organizations with more than 1,500 employees. Moreover, a full 83 percent of HR and business executives believe that talent programs need to be improved, according to Deloitte’s 2012 report Talent Edge 2020. With statistics like these, it’s no wonder there’s more pressure than ever on HR leaders to make the right talent decisions for their organizations and to source the right talent management systems to maximize the value of their workforce.
Tags : 
oracle, talent cloud, cloud, talent management
    
Oracle
Published By: Oracle     Published Date: Aug 15, 2013
Talent management has moved to the top of the CEO’s agenda. In a 2012 global survey of CEOs and CFOs by the Economist Intelligence Unit, 53 percent of these leaders said that insufficient talent within their organization could harm them financially over the next 12 months. The number expressing financial concerns rose to 67 percent at organizations with more than 1,500 employees. Moreover, a full 83 percent of HR and business executives believe that talent programs need to be improved, according to Deloitte’s 2012 report Talent Edge 2020. With statistics like these, it’s no wonder there’s more pressure than ever on HR leaders to make the right talent decisions for their organizations and to source the right talent management systems to maximize the value of their workforce.
Tags : 
oracle, talent cloud, cloud, talent management, enterprise applications, human resource technology, business technology
    
Oracle
Published By: IBM     Published Date: Jul 26, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
Tags : 
scalability, data warehousing, resource planning
    
IBM
Published By: Pure Storage     Published Date: Jan 12, 2018
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifically to work with high-powered analytics.
Tags : 
data, deep learning, automated, intelligence, pure storage
    
Pure Storage
Published By: Pure Storage     Published Date: Apr 18, 2018
Deep learning opens up new worlds of possibility in artifi cial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifically to work with high-powered analytics.
Tags : 
    
Pure Storage
Published By: IBM     Published Date: Jan 27, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
Tags : 
    
IBM
Published By: IBM     Published Date: Sep 11, 2017
This book is written for readers who have varying levels of familiarity with ODM. It doesn’t focus on any particular vendor’s offering; instead, it talks about the features of ODM as a model for managing operational decision-making. This book isn’t about offline business intelligence systems. While those systems are very valuable, the focus of this book is on automated decisions that can be executed in real time in conjunction with your business applications and processes.
Tags : 
odm, management, operation-decision making, intelligence systems
    
IBM
Published By: IBM     Published Date: Oct 17, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
Tags : 
    
IBM
Published By: Flexera Software     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
Tags : 
    
Flexera Software
Published By: Workforce Software     Published Date: Apr 03, 2012
We will go over a brief introduction of what workforce analytics is, and take a look at why it is sometimes so difficult to get the information we need out of our HR or Business Intelligence systems. We will also dive into the important metrics we should consider as HR professionals and what metrics will ultimately drive your business forward.
Tags : 
human resources, hr management, workforce software, workforce analytics, employees, business analytics
    
Workforce Software
Published By: SHL     Published Date: Dec 13, 2011
47 business outcome studies were conducted for clients across multiple industries for the 2011 Business Outcomes Studies Report. It demonstrates the value of online talent measurement solutions against metrics specific to the goals of each organization.
Tags : 
bos, business outcomes study, business outcomes, outcomes study, business study, business objectives, people intelligence, outcomes report, employment testing, assessment simulations, ats, applicant tracking systems, talent development, business challenges, talent management, assessment program, assessment solutions, assessments, talent measurement, turnover
    
SHL
Published By: Oracle Corporation     Published Date: May 11, 2012
This whitepaper provides an overview of Oracle's capabilities for data warehousing and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems integrate information and scale to analyze data.
Tags : 
oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs, mobile, growth, payback, architecture, demands, enterprise applications, data management
    
Oracle Corporation
Published By: Vertica     Published Date: Aug 16, 2010
The Vertica Analytic Database is the only database built from scratch to handle today's heavy business intelligence workloads. In customer benchmarks, Vertica has been shown to manage terabytes of data running on extraordinarily low-cost hardware and answers queries 50 to 200 times faster than competing row-oriented databases and specialized analytic hardware. This document summarizes the key aspects of Vertica's technology that enable such dramatic performance benefits, and compares the design of Vertica to other popular relational systems.
Tags : 
vertica, ec2, elastic, cloud computing, workflow, benchmark, projections, ad-hoc, business intelligence, cloud, cloudbased applications, analytic, saas, dbms, mpp
    
Vertica
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.
Tags : 
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.
Tags : 
infrastructure, technology, cloud, storage, virtualization, data management, business technology
    
IBM
Previous   1 2    Next    
Search      

Add Research

Get your company's research in the hands of targeted business professionals.