real time analysis

Results 1 - 25 of 64Sort Results By: Published Date | Title | Company Name
By: AWS     Published Date: Oct 09, 2019
Fulfilling the security and compliance obligations within the AWS Shared Responsibility Model is critical as organizations shift more of their infrastructure to the cloud. Most infrastructure and application monitoring solutions haven’t caught up to meet these new requirements, forcing IT and security teams to resort to traditional monitoring strategies that don’t allow for innovation and growth. Join us for this webinar to learn how Splunk and AWS give you end-to-end visibility across your applications and help quickly detect potential security threats. Find out how Experian leveraged Splunk Cloud to deliver log data in near real-time to their operations teams for analysis and monitoring, roll out new features/updates faster, create reusable features to deploy in multiple customer environments to scale with their business, and ensure adherence to security and compliance standards.
Tags : 
     AWS
By: AWS     Published Date: Oct 07, 2019
Fulfilling the security and compliance obligations within the AWS Shared Responsibility Model is critical as organizations shift more of their infrastructure to the cloud. Most infrastructure and application monitoring solutions haven’t caught up to meet these new requirements, forcing IT and security teams to resort to traditional monitoring strategies that don’t allow for innovation and growth. Join us for this webinar to learn how Splunk and AWS give you end-to-end visibility across your applications and help quickly detect potential security threats. Find out how Experian leveraged Splunk Cloud to deliver log data in near real-time to their operations teams for analysis and monitoring, roll out new features/updates faster, create reusable features to deploy in multiple customer environments to scale with their business, and ensure adherence to security and compliance standards.
Tags : 
     AWS
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: BlackLine     Published Date: Aug 23, 2019
Accounting and finance leaders are expected to deliver accurate, compliant, and real-time analysis of their organization’s financial performance at all times. But many institutions wrestle with outdated systems and processes that don’t meet the needs of today’s business. Leading organizations are transforming their finance operations to reduce compliance risks and gain greater efficiencies.
Tags : 
     BlackLine
By: BlackLine     Published Date: Aug 23, 2019
As organizations in a rapidly changing, highly regulated industry, manufacturers must be able to deliver accurate, compliant, and real-time analysis of their financial performance at all times. Yet many manufacturers, while relying on modern technology for production, still wrestle with outdated systems and processes that don’t meet the needs of today’s business. At BlackLine, we help manufacturing companies transform their accounting and finance operations to increase visibility, gain efficiencies, and improve accuracy.
Tags : 
     BlackLine
By: Five9     Published Date: Aug 01, 2019
Today’s organizations compete on customer experience and this trend will define the shape and scope of contact centers well into the next decade. To deliver the level of seamless experiences that customers expect, contact centers will need to harness all the advantages technology can offer – specifically, the cloud – to create an “intelligent cloud contact center” that utilizes machine learning and real-time data analysis. So, step one is to move your contact center to the cloud. ASAP. Once you are operating a cloud contact center, the next step is to start leveraging everything this enables you to do. This is where the “Intelligent Cloud Contact Center” comes into play.”
Tags : 
     Five9
By: Expert System     Published Date: Jul 26, 2019
As companies increasingly recognize the business implications and actionable benefits of AI, the question becomes: How will you use AI for your business? Thanks to the Cogito platform based on AI algorithms, organizations can effectively support and improve unstructured information management and text analytics in order to: Leverage all information, combining internal knowledge with other information sources to extract relevant data Provide effective and real-time insight on strategic initiatives, partners and any third parties Mitigate and even completely avoid risks for operations, reputation, etc. through information analysis and monitoring Know what competitors are doing and intercept market trends Implement automation for the broader, more complex set of processes that involve data Free up teams to focus on more creative or critical activities inside the organization See the entire business through a different perspective
Tags : 
     Expert System
By: TIBCO Software     Published Date: Jul 22, 2019
Connected Intelligence in Insurance Insurance as we know it is transforming dramatically, thanks to capabilities brought about by new technologies such as machine learning and artificial intelligence (AI). Download this IDC Analyst Infobrief to learn about how the new breed of insurers are becoming more personalized, more predictive, and more real-time than ever. What you will learn: The insurance industry's global digital trends, supported by data and analysis What capabilities will make the insurers of the future become disruptors in their industry Notable leaders based on IDC Financial Insights research and their respective use cases Essential guidance from IDC
Tags : 
     TIBCO Software
By: GFT USA, Inc.     Published Date: Jun 26, 2019
Stream is GFT’s architectural framework on GCP that enables real time processing and analysis of structured and unstructured data using AI and Machine Learning (ML) to extract intelligence from data.
Tags : 
     GFT USA, Inc.
By: AWS     Published Date: Jun 03, 2019
cBackground Fulfilling the security and compliance obligations within the AWS Shared Responsibility Model is critical as organizations shift more of their infrastructure to the cloud. Most infrastructure and application monitoring solutions haven’t caught up to meet these new requirements, forcing IT and security teams to resort to traditional monitoring strategies that don’t allow for innovation and growth. Join us for this webinar to learn how Splunk and AWS give you end-to-end visibility across your applications and help quickly detect potential security threats. Find out how Experian leveraged Splunk Cloud to deliver log data in near real-time to their operations teams for analysis and monitoring, roll out new features/updates faster, create reusable features to deploy in multiple customer environments to scale with their business, and ensure adherence to security and compliance standards.
Tags : 
     AWS
By: Visual Factories     Published Date: Mar 15, 2019
Manufacturers are looking for ways to optimize their factory floor and machinery processes to reach their full production potential. Whether it is because of equipment issues or the personnel running the machines, the average OEE machine is running at 60%. With Visual Factories’ plug-and-play cloud-based solution, factory management get enhanced visibility into their manufacturing processes, helping to identify operational inefficiencies and to increase their OEE. Real-time reports for middle management deliver root cause analysis that will increase machine efficiency. Top management use the business insights for maximizing profits and reducing costs. The solution is quick and easy to install and can be set up by on-site maintenance staff. Visual Factories' solution is compatible with any type of production machine in any market segment and has been deployed at metal working and medical tooling plants in the aerospace, automotive and medical industries around the world. Customers incl
Tags : 
     Visual Factories
By: BlackBerry Cylance     Published Date: Mar 12, 2019
Today’s advanced cyber threats target every computer and mobile device, including enterprise endpoints, especially those that make up critical infrastructure like industrial control systems and embedded devices that control much of our physical world. The modern computing landscape consists of a complex array of physical, mobile, cloud, and virtual computing, creating a vast attack surface. Meanwhile, the cybersecurity industry is prolific with defense-in-depth security technologies, despite a threat landscape that remains highly dynamic, sophisticated, and automated. Cylance, however, takes a unique and innovative approach of using real-time, mathematical, and machine learning threat analysis to solve this problem at the endpoint for organizations, governments, and end-users worldwide.
Tags : 
     BlackBerry Cylance
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
Tags : 
     Intel
By: Group M_IBM Q119     Published Date: Dec 20, 2018
The security information and event management (SIEM) market is defined by the customer's need to analyze event data in real time for the early detection of targeted attacks and data breaches, and to collect, store, analyze, investigate and report on event data for incident response, forensics and regulatory compliance. The vendors included in our Magic Quadrant analysis have products designed for this purpose, and they actively market and sell these technologies to the security buying center.
Tags : 
     Group M_IBM Q119
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.
Tags : rei, intelligent, threat, detection, edge, protection, aws, splunk
     AWS
By: SAS     Published Date: Apr 04, 2018
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.
Tags : 
     SAS
By: Cloudian     Published Date: Feb 15, 2018
We are living in an age of explosive data growth. IDC projects that the digital universe is growing 50% a year, doubling in size every 2 years. In media and entertainment, the growth is even faster as capacity-intensive formats such as 4K, 8K, and 360/VR gain traction. Fortunately, new trends in data storage are making it easier to stay ahead of the curve. In this paper, we will examine how object storage stacks up against LTO tape for media archives and backup. In addition to a detailed total cost of ownership (TCO) analysis covering both capital and operational expenses, this paper will look at the opportunity costs of not leveraging the real-time data access of object storage to monetize existing data. Finally, we will demonstrate the validity of the analysis with a real-world case study of a longstanding network TV show that made the switch from tape to object storage. The limitations of tape storage go way beyond its lack of scalability. Data that isn’t searchable is becoming
Tags : 
     Cloudian
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
Tags : 
     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
Tags : 
     Oracle CX
By: Schneider Electric     Published Date: Aug 15, 2017
Schneider Electric is integrating datacenter infrastructure management (DCIM) software, big-data analytics and cloud services into the management of customers’ datacenters. Its recently launched StruxureOn cloud offering signals a new wave in datacenter operations, using a combination of machine learning, anomaly detection and event-stream playback to give operators real-time insights and alarming via their smartphones. More capabilities and features are planned, including predictive analysis and, eventually, automated action. Schneider’s long-term strategy is to build a partner ecosystem around StruxureOn, and provide digital services that span its traditional datacenter business.
Tags : incident tracking, historical trending, troubleshooting, operational analysis, prediction model, schneider equipment, maintenance, firmware updates
     Schneider Electric
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. "
Tags : 
     Oracle PaaS/IaaS/Hardware
By: BlackLine     Published Date: Jun 12, 2017
In today’s highly complex global business environment, companies are constantly expected to do more with less, to run leaner while becoming more effective than ever. This is especially true for Accounting and Finance. They are now required to not only deliver periodic financial data and reports, but also real-time analysis and intelligence.
Tags : 
     BlackLine
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
Tags : 
     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.
Tags : 
     SAS
By: SAS     Published Date: Apr 25, 2017
Today, data is constantly flowing in and out of organizations from electrical and mechanical sensors, RFID tags, smart meters, scanners, mobile devices, vehicles, live social media, machines and other objects. Did you know that a modern plane with more than 10,000 sensors just in the wings is expected to generate more than 7 terabytes a day? And Bain predicts that by 2020 annual revenues could exceed $470 billion for the internet of things (IoT) vendors selling hardware, software and comprehensive solutions. Analysts believe that all of this data will drive a new type of industrial revolution – one that’s driven by highly accurate, real-time analysis, alerts and actions. Increasingly, machines will automate decisions and simply notify humans with instructions. Consider the promise of the IoT, where any object can be connected to the internet and continuously send and receive data. Gartner says that by 2020, 21 billion IoT devices will be in use worldwide.
Tags : 
     SAS
Start   Previous   1 2 3    Next    End
Search White Papers      

Add White Papers

Get your white papers featured in the insideHPC White Paper Library contact: Kevin@insideHPC.com