real time analysis

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By: IBM     Published Date: Jul 27, 2016
IBM i2 Enterprise Insight Analysis helps analysts and investigators turn large data sets into comprehensive intelligence, in near real-time. With the help of advanced analytics and visual analysis capabilities, analysts can uncover hidden connections, patterns and trends buried in disparate data. Equip analysts and those on the front line with the tools they need to generate actionable intelligence, with mission critical speed.
Tags : ibm, cyber threat analysis, ibm i2 enterprise insight analysis, cyber security, business intelligence, security
     IBM
By: Inside HPC Media LLC     Published Date: Nov 11, 2019
In a world characterized by ever-increasing generation and consumption of digital information, the ability to analyze data to find insights in real time has become a competitive advantage. An advanced network must address how best to transfer growing amounts of data quickly and efficiently, and how to perform analysis on that data on-the-fly. The Co-Design technology transition has revolutionized the industry, clearly illustrating that the traditional CPU-centric data center architecture, wherein as many functions as possible are onloaded onto the CPU, is outdated. The transition to the new data-centric architecture requires that today’s networks must be fast and they must be efficient, which means they must offload as many functions as possible from the CPU to other places in the network, enabling the CPU to focus on its primary role of handling the compute.
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     Inside HPC Media LLC
By: Intel     Published Date: Apr 19, 2016
Learn how Intel DCM solution provided an organization real-time and historical data center thermal maps and cooling analysis.
Tags : intel, data center management, power and cooling, power, energy
     Intel
By: Intel     Published Date: Feb 28, 2019
Keeping the lights on in a manufacturing environment remains top priority for industrial companies. All too often, factories are in a reactive mode, relying on manual inspections that risk downtime because they don’t usually reveal actionable problem data. Find out how the Nexcom Predictive Diagnostic Maintenance (PDM) system enables uninterrupted production during outages by monitoring each unit in the Diesel Uninterrupted Power Supplies (DUPS) system noninvasively. • Using vibration analysis, the system can detect 85% of power supply problems before they do damage or cause failure • Information processing for machine diagnostics is done at the edge, providing real-time alerts on potential issues with ample of lead time for managers to rectify • Graphic user interface offers visual representation and analysis of historical and trending data that is easily consumable
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     Intel
By: Intel     Published Date: Nov 18, 2019
Deep learning is enabling a new generation of real-time video analytics technology that can identify and track people, vehicles, and more objects frame by frame in real time, providing state-of-the-art security for a wide range of businesses and government agencies. But along with the advances come challenges. Systems can be complex, and environmental inconsistencies make video analysis complicated. For Gorilla Technology’s IVAR™ intelligent video analytics recorder platform, the key challenge was to maximize performance for its customers.
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     Intel
By: Iovation     Published Date: Sep 25, 2009
ReputationManager is a real time fraud management solution and a forensic fraud analysis tool to identify and reduce the impact of online fraud such as chargebacks, stolen credit cards and identity theft, as well as abusive activity such as chat abuse, predatory behavior, and other forms of online harassment. This study illustrates the financial impact of using ReputationManager as part of a financial services organization's online credit card application process.
Tags : iovation, reputationmanager, real time fraud management solution, forensic fraud analysis tool, online fraud, online harassment, fraudulent applications, detection process, tei framework, client site development, vendor selection and testing, reducing fraud exposure, investment risk
     Iovation
By: M86 Security     Published Date: Nov 02, 2010
This white paper examines the Crimeware industry and the Web-based methods currently used to sustain cybercrime.
Tags : m86 security, real-time code analysis, malware threats, cybercrime, anti-virus
     M86 Security
By: M86 Security     Published Date: Feb 09, 2011
This white paper examines the Crimeware industry and the Web-based methods currently used to sustain cybercrime.
Tags : m86 security, real-time code analysis, malware threats, cybercrime, anti-virus
     M86 Security
By: McAfee     Published Date: Jan 28, 2014
Modern malware defenses use layers of blacklisting and whitelisting, enhanced with real-time analysis and reputation data, to protect the endpoint computing stack.
Tags : blacklisting, whitelisting, malware, endpoint, mcafee global threat intelligence, epolicy orchestrator, byod
     McAfee
By: McAfee     Published Date: Jul 10, 2013
Modern malware defenses use layers of blacklisting and whitelisting, enhanced with real-time analysis and reputation data, to protect the endpoint computing stack.
Tags : mcafee, blacklisting, whitelisting, malware, endpoint, mcafee global threat intelligence, epolicy orchestrator, byod
     McAfee
By: Microsoft Office 365     Published Date: Oct 14, 2016
“Hi, this is Kevin from IT. We've been notified of a virus on your department’s machines.” Add some authentic hold music, and a social-engineering attacker can trick employees into sharing company info, like passwords. Learn how to use technology and prevention strategies to guard against dumpster diving, spear phishing, and other tactics with: Real-world prevention strategies Tools to spot suspicious actions Real-time behavioral malware analysis
Tags : protection, prevention, malware, security, cyber attacks, information
     Microsoft Office 365
By: Oracle     Published Date: Aug 08, 2013
As social media use has grown, an urgent need has emerged to correlate the information generated through social data with existing consumer information, and integrate it with sophisticated data management systems. This white paper describes how organizations can blend social insights with more-traditional data in an integrated customer data hub to optimize social strategies and create outreach efforts, new products, and campaigns grounded in real-time, repeatable, automated, and scalable analysis.
Tags : social media, business intelligence, customer hub, crm, oracle, data management
     Oracle
By: Oracle     Published Date: Nov 05, 2013
As social media use has grown, an urgent need has emerged to correlate the information generated through social data with existing consumer information, and integrate it with sophisticated data management systems. This white paper describes how organizations can blend social insights with more-traditional data in an integrated customer data hub to optimize social strategies and create outreach efforts, new products, and campaigns grounded in real-time, repeatable, automated, and scalable analysis.
Tags : business intelligence, integrated marketing, social media strategy, content marketing, insight, social data, customer hub, social analytics
     Oracle
By: Oracle     Published Date: Oct 20, 2017
With the growing size and importance of information stored in today’s databases, accessing and using the right information at the right time has become increasingly critical. Real-time access and analysis of operational data is key to making faster and better business decisions, providing enterprises with unique competitive advantages. Running analytics on operational data has been difficult because operational data is stored in row format, which is best for online transaction processing (OLTP) databases, while storing data in column format is much better for analytics processing. Therefore, companies normally have both an operational database with data in row format and a separate data warehouse with data in column format, which leads to reliance on “stale data” for business decisions. With Oracle’s Database In-Memory and Oracle servers based on the SPARC S7 and SPARC M7 processors companies can now store data in memory in both row and data formats, and run analytics on their operatio
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     Oracle
By: Oracle CX     Published Date: Oct 20, 2017
With the growing size and importance of information stored in today’s databases, accessing and using the right information at the right time has become increasingly critical. Real-time access and analysis of operational data is key to making faster and better business decisions, providing enterprises with unique competitive advantages. Running analytics on operational data has been difficult because operational data is stored in row format, which is best for online transaction processing (OLTP) databases, while storing data in column format is much better for analytics processing. Therefore, companies normally have both an operational database with data in row format and a separate data warehouse with data in column format, which leads to reliance on “stale data” for business decisions. With Oracle’s Database In-Memory and Oracle servers based on the SPARC S7 and SPARC M7 processors companies can now store data in memory in both row and data formats, and run analytics on their operatio
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     Oracle CX
By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"With the introduction of Oracle Database In-Memory and servers with the SPARC S7 and SPARC M7 processors Oracle delivers an architecture where analytics are run on live operational databases and not on data subsets in data warehouses. Decision-making is much faster and more accurate because the data is not a stale subset. And for those moving enterprise applications to the cloud, Real-time analytics of the SPARC S7 and SPARC M7 processors are available both in a private cloud on SPARC servers or in Oracle’s Public cloud in the SPARC cloud compute service. Moving to the Oracle Public Cloud does not compromise the benefits of SPARC solutions. Some examples of utilizing real time data for business decisions include: analysis of supply chain data for order fulfillment and supply optimization, analysis of customer purchase history for real time recommendations to customers using online purchasing systems, etc. "
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     Oracle PaaS/IaaS/Hardware
By: PatSnap     Published Date: Sep 27, 2019
Out-of-box tools that use AI, machine-learning, and real-time intelligence are driving the commercialization of IP today. However, IP professionals are faced with a dizzying array of offerings on the market. What features are must haves for IP teams in 2019? What processes will streamline the commercialization process? This eBook works as a clear guide in identifying the tools IP teams need to commercialize with confidence, in 4 easy-to-action workflow tips: 1. Confirming patent novelty easily 2. Deciding on ideas that are worth pursuing 3. Collating key data via analysis and patent landscaping faster 4. Mitigating bottlenecks through interdepartmental collaboration
Tags : research and development, intellectual property, innovation
     PatSnap
By: Pega     Published Date: May 25, 2016
IT leaders working on customer service projects must display an incredible amount of diligence. An organization’s CRM system has become its lifeline to customers, but as customer needs evolve so has the requirements of CRM. According to Gartner, today’s CRM solution must include a laundry list of capabilities outside its traditional core functionality including: native mobile support of the vendor's customer service and support business applications; real-time analytics; industry-specific functionality and workflow; context mining of voice and text; scalable cloud-based systems; social media engagement; suggested next agent action; multimodal capabilities, such as chat within mobile self-service; and even co-browsing. Gartner surveyed the CRM field and evaluated each vendor including Pegasystems. Download this Gartner Magic Quadrant analysis and gain a better understanding each vendors’ CRM Customer Engagement Center solutions.
Tags : best practices, customer support, business intelligence, business optimization, customer engaement
     Pega
By: RelayHealth     Published Date: Apr 01, 2013
RelayHealth's Vice President, Business Analytics, Jason Williams examines how healthcare organizations can better set strategies by focusing on key decision points and adding data from real-time sources to what they have already collected.
Tags : ecosystem, healthcare, real-time data, data, analysis, decision making, business analytics
     RelayHealth
By: Riverbed     Published Date: Jul 17, 2013
Riverbed® Cascade Shark provides continuous, high-speed packet capture to ensure that packet-level information is available when needed for granular, real-time and post-event forensic analysis. Based on high-performance 1GbE and 10GbE capture cards, Cascade Shark is capable of sustained line-rate, multi-gigabit per second recording of network traffic.
Tags : cascade shark, datasheet, riverbed, cascade, riverbed cascade, high-performance, sustained line-rate, network traffic
     Riverbed
By: SAP     Published Date: Jul 18, 2016
People on the frontlines of public-sector fraud management have considerable need to detect, monitor and prevent fraud in real time. They recognize that speed in analysis, detection, investigations and simulations is the key to minimizing taxpayer dollars lost to fraud. Read the report to learn more.
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     SAP
By: SAS     Published Date: Oct 22, 2015
The Internet of Things (IoT) presents an opportunity to collect real-time information about every physical operation of a business. From the temperature of equipment to the performance of a fleet of wind turbines, IoT sensors can deliver this information in real time. There is tremendous opportunity for those businesses that can convert raw IoT data into business insights, and the key to doing so lies within effective data analytics. To research the current state of IoT analytics, Blue Hill Research conducted deep qualitative interviews with three organizations that invested significant time and resources into their own IoT analytics initiatives. By distilling key themes and lessons learned from peer organizations, Blue Hill Research offers our analysis so that business decision makers can ultimately make informed investment decisions about the future of their IoT analytics projects.
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     SAS
By: SAS     Published Date: Nov 04, 2015
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis.
Tags : data visualization, sas, big data, visual analytics, data exploration, analysis, networking, data management
     SAS
By: SAS     Published Date: Apr 25, 2017
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis. The heart and soul of SAS Visual Analytics is the SAS® LASR™ Analytic Server, which ca
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     SAS
By: SAS     Published Date: Apr 25, 2017
This white paper, sponsored by SAS, examines the interplay between the challenges and opportunities afforded by the growing breadth of digital channels offered by financial institutions. Mobile wallets, real-time peer-to-peer (P2P), and digital account opening all require the right mix of security solutions, background analytics, and personnel to balance positive customer experience with robust fraud protection. JAVELIN independently produced this whitepaper and maintains complete independence in its data collection, findings, and analysis.
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     SAS
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