unstructured

Results 126 - 150 of 157Sort Results By: Published Date | Title | Company Name
Published By: Amazon Web Services     Published Date: Jul 25, 2018
Defining the Data Lake “Big data” is an idea as much as a particular methodology or technology, yet it’s an idea that is enabling powerful insights, faster and better decisions, and even business transformations across many industries. In general, big data can be characterized as an approach to extracting insights from very large quantities of structured and unstructured data from varied sources at a speed that is immediate (enough) for the particular analytics use case.
Tags : 
    
Amazon Web Services
Published By: MuleSoft     Published Date: Oct 13, 2015
Improving data management is critical for streamlining regulatory reporting, monetizing customer analytics, and democratizing data-driven decision-making. Financial firms must transform their data management approach to unlock data from its silos, incorporate unstructured information from non-traditional sources, and integrate information whether on-premises, in the cloud, batch-based, or real-time. As this evolution continues, technology leaders must consider integration holistically across the enterprise and create an agility layer that is key to future-proofing their data management architecture. Read this whitepaper to learn: -Data management challenges in financial services -Best practices to manage data in financial institutions -Integration strategies for optimal data management
Tags : 
back office systems, operational effectiveness, unlocking data, business imperatives, modernizing legacy systems, enterprise applications
    
MuleSoft
Published By: Cleversafe     Published Date: Dec 07, 2012
Dispersed Storage is an innovative approach for cost-effectively storing large volumes of unstructured data while ensuring security, availability and reliability.
Tags : 
dispersed, storage, unstructured, availability, reliability, large volumes, it management, data center
    
Cleversafe
Published By: Dell EMC     Published Date: Mar 18, 2016
This white paper provides an introduction to the EMC Isilon scale-out data lake as the key enabler to store, manage, and protect unstructured data for traditional and emerging workloads. Business decision makers and architects can leverage the information provided here to make key strategy and implementation decisions for their storage infrastructure.
Tags : 
emc, emc isilon, data lake, storage, network, unstructured data
    
Dell EMC
Published By: Splunk     Published Date: Aug 17, 2018
IT organizations using machine data platforms like Splunk recognize the importance of consolidating disparate data types for top-down visibility, and to quickly respond to critical business needs. Machine data is often underused and undervalued, and is particularly useful when managing infrastructure data coming from AWS, sensors and server logs. Download “The Essential Guide to Infrastructure Machine Data” for: The benefits of machine data for network, remote, web, cloud and server monitoring IT infrastructure monitoring data sources to include in your machine data platform Machine data best practices
Tags : 
cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures, reduce mttr/mtti, cloud monitoring free, cloud monitoring tools, cloud monitoring service, cloud billing monitoring, cloud monitoring architecture, cloud data monitoring, host monitoring, *nix, unix, linux, servers
    
Splunk
Published By: Dell EMC     Published Date: Nov 03, 2015
View the infographic to see why head to head against the competition, Isilon wins every time.
Tags : 
emc, data storage, unstructured data, isilon, nas, data protection, data quality, data warehousing, infrastructure
    
Dell EMC
Published By: IBM     Published Date: May 19, 2016
In our 21-criteria evaluation of the dynamic case management (DCM) market, we identified the 14 most significant software vendors — Appian, bpm’online, Column Technologies, DST Systems, Eccentex, IBM, Isis Papyrus, Lexmark Enterprise Software, MicroPact, Newgen Software, OnBase by Hyland, OpenText, Pegasystems, and TIBCO Software — and researched, analyzed, and scored them. The evaluation focused on providers’ adaptive, analytics, and mobile features, all critical to helping enterprises tackle increasing volumes of varied and unstructured work. This report helps enterprise architecture (EA) professionals select the best providers to meet their unique needs.
Tags : 
ibm, forrester, forrester wave, dynamic case management, dcm, software vendors, software, enterprise applications
    
IBM
Published By: IBM     Published Date: Jul 08, 2016
In our 21-criteria evaluation of the dynamic case management (DCM) market, we identified the 14 most significant software vendors — Appian, bpm’online, Column Technologies, DST Systems, Eccentex, IBM, Isis Papyrus, Lexmark Enterprise Software, MicroPact, Newgen Software, OnBase by Hyland, OpenText, Pegasystems, and TIBCO Software — and researched, analyzed, and scored them. The evaluation focused on providers’ adaptive, analytics, and mobile features, all critical to helping enterprises tackle increasing volumes of varied and unstructured work. This report helps enterprise architecture (EA) professionals select the best providers to meet their unique needs.
Tags : 
ibm, forrester, forrester wave, dynamic case management, dcm, networking, software development, enterprise applications
    
IBM
Published By: TIBCO Software     Published Date: Nov 12, 2018
The insurance industry stands on the precipice of change, with waves of innovation and disruption driving new possibilities across all departments, including pricing, underwriting, claims, and fraud. This webinar recording of a live panel debate is ideal for insurance professionals wanting to understand how best to unlock the possibilities created by advanced analytical techniques such as Artificial Intelligence (AI), Machine Learning (ML), and others. This TIBCO and Marketforce webinar on “The Fourth Industrial Revolution in Insurance” includes speakers Ian Thompson, chief claims officer at Zurich; David Williams, chief underwriting officer at AXA; and Clare Lunn, GI fraud director at LV=. The panel discusses: Moving towards the algorithmic insurer: the opportunities created by AI and ML How insurers can become more agile in the face of new innovations and disruptive technologies How the industry can turn structured and unstructured data into insights
Tags : 
agile insurance, customer experience, digital initiatives, analytical techniques
    
TIBCO Software
Published By: IBM     Published Date: Jun 25, 2018
Vast resources of data are increasingly available, but the sheer volume can overwhelm human capability. By implementing the cognitive system of IBM Watson Discovery into their infrastructure, businesses can extract deeper and more accurate insights by efficiently identifying, collecting and curating structured and unstructured data. Watson Discovery, also capable of creating content collections and custom cognitive applications, can transform organizational processes to extend proprietary content and expert knowledge faster and at greater scales. Read more to learn how Watson Discovery can keep your organization evolving ahead of the competition. Click here to find out more about how embedding IBM technologies can accelerate your solutions’ time to market.
Tags : 
    
IBM
Published By: RolePoint     Published Date: Apr 12, 2016
Over the last three years, social networks have experienced exponential growth. Employee networks have grown accordingly, offering access to structured career data through sites like LinkedIn in particular, and unstructured data through networks like Facebook. Employees are continually adding new contacts and growing personal networks. Job posting tools that share jobs into social networks are often described as social referral tools, though this is an inaccurate and misleading description. The more sophisticated of these tools create unique links for sharing that enable employers to identify which of their employees originated the share. This is useful for recognition and reward, whilst the practice of sharing jobs in the wider network is to be encouraged in order to reach job seekers who are browsing or using search engines to identify opportunities. Job seekers are increasingly connecting with their peers in organizations they want to work for. Encouraging employees to share jobs in
Tags : 
rolepoint, social referral, facebook, linkedin, career data, personal network, data management
    
RolePoint
Published By: MarkLogic     Published Date: Mar 29, 2018
Real World Evidence (RWE) requires the correlation of complex, frequently changing, unstructured data. To the enterprise architect, that means extracting value from data that doesn't neatly fit solutions. In this white paper, we dive into the details of why relational databases are ill-suited to handle the massive volumes of disparate, varied, and changing data that is required to be successful with RWE. It is for this reason that leading life science organizations are going beyond relational to embrace new kinds of databases. And when they do, the results can be dramatic.
Tags : 
data, integration, volume, optimization, architect, enterprise
    
MarkLogic
Published By: Dell EMC     Published Date: Aug 22, 2017
Identifying the benefits, costs, and risks associated with an Isilon implementation, Forrester interviewed several customers with experience using Isilon. Dell EMC Isilon is a scale-out NAS platform that enables organizations to store, manage, and analyze unstructured data. Isilon clusters are composed of different node types that can scale up to 68 petabytes (PB) in a single cluster while maintaining management simplicity. Isilon clusters can also scale to edge locations and the cloud
Tags : 
    
Dell EMC
Published By: IBM     Published Date: Jan 27, 2017
As with most innovations in business information technology, the ultimate truth about cloud lies somewhere in between. There is little doubt that cloud-based infrastructures offer an immediate opportunity for smaller organizations to avoid the costly investment needed for a robust on-premises computing environment. Data can be found, processed and managed on the cloud without investing in any local hardware. Large organizations with mature on-premises computing infrastructures are looking to Hadoop platforms to help them benefit from the vast array of structured and unstructured data from cloud-based sources. Organizations have feet in both cloud and on-premises worlds. In fact, one could easily argue that we already live in a “hybrid” world.
Tags : 
    
IBM
Published By: IBM APAC     Published Date: Nov 22, 2017
It is imperative that organizations start looking now for smarter solutions to the problems associated with unstructured data. There are many issues related to unstructured data that need to be readily addressed such as storage, discovery, organization, tagging and deduplication. One of the most important issues related to unstructured data is finding and discovering key business insights as quickly as possible, preferably in near real time, to gain a significant competitive advantage.
Tags : 
storage, discovery, organization, tagging, deduplication, competitive, advantage
    
IBM APAC
Published By: Dell EMC     Published Date: Aug 18, 2017
Meet Billy, he discovered a new power source. The source is rapidly growing and affecting all parts of society. Something must be done!
Tags : 
unstructured data, data growth, data management, data storage
    
Dell EMC
Published By: BlueArc Corporation     Published Date: Mar 31, 2008
The Titan 3000 family of high performance network storage hardware from BlueArc is yet another example of the company's innovative abilities, with enhanced and eye-popping capacity and performance specifications matched to its strong, familiar—and growing—feature and management capabilities. With perfect timing, it looks as if this product is a good match for emerging market needs.
Tags : 
tiered storage, storage, hardware, storage hardware, appliance, titan, titan 3000, bluearc, storage management, data replication
    
BlueArc Corporation
Published By: Redstor UK     Published Date: May 02, 2018
Many organisations are facing challenges relating to the unstructured data they hold. By its very nature, unstructured data is in a form that is difficult to manage, and it is growing rapidly in size. This can make it difficult to understand who owns that data, whether it is being used or even whether it is of any value. Industry forecasts indicate the volume of data generated by corporates is expected to double over the next three years and, with General Data Protection Regulation taking effect in May 2018, organisations need a more efficient way to manage and control this data. This White Paper provides an overview of the important technical considerations senior business and IT management teams need to review before choosing an archiving provider.
Tags : 
    
Redstor UK
Published By: SAP EMEA Global     Published Date: Nov 22, 2017
As more and more data pours into the office of the CFO, experts say, minimizing its complexity and maximizing its usefulness becomes critical. “The amount of data is phenomenal,” says Mr. Whitehead of Airbus Defence and Space, “but what’s worse is the lack of harmonization. Unstructured data is what kills you. The key for me is how to have clear data in a usable and consistent form, which can be turned into succinct information the business can look at, understand where the value chain is, and make decisions.”
Tags : 
finance, function, strategic, growth, initiatives, automation, efficiency, core, finance, processes
    
SAP EMEA Global
Published By: Dell EMC     Published Date: May 23, 2017
The rapid growth of unstructured data poses significant challenges to store, manage, secure and protect data across virtually every industry segment. You need a way to manage your data: simply, securely and cost-effectively.
Tags : 
    
Dell EMC
Published By: MapR Technologies     Published Date: Dec 12, 2013
Evaluator Group looks at what will make Hadoop an enterprise data center-grade analytics platform.
Tags : 
big data, big data analytics, hadoop, apache hadoop, structured data, unstructured data, business analytics, metadata, analytics, mapreduce, data, data center, mapr
    
MapR Technologies
Published By: Reputation.com     Published Date: Oct 02, 2017
1.Meet the new consumer The migration to mobile and social media will challenge — and change — everything we know about consumer marketing. 2. Who owns your brand? Brand equity can no longer be bought. Online reviews now generate total market transparency for location-based businesses. Reviews tilt the balance of branding power away from companies and into the hands of customers. 3. The battle for brick-and-mortar customers is won or lost on the social web. To win, marketers must actively enlist customers as online advocates. Those who scale online review volume and quality will be rewarded with higher search visibility and more business at street level. 4. “Dark data” provides priceless operational insights Vast amounts of unstructured, unmined sentiment data on social media provides feedback about the customer experience that you can filter using thematic analysis and use to improve operations at the national or location level. 5. Business implications Online reputation stands betwee
Tags : 
    
Reputation.com
Published By: Dell EMC     Published Date: Oct 08, 2015
Download this whitepaper to learn more about how to capture, analyze and manage a tidal wave of structured and unstructured data, turn this data into operational intelligence, And how to overcome the limitations of databases and data management tools that weren’t designed for a world of big data with Dell.
Tags : 
    
Dell EMC
Published By: Attivio     Published Date: Aug 20, 2010
Current methods for accessing complex, distributed information delay decisions and, even worse, provide incomplete insight. This paper details the impact of Unified Information Access (UIA) in improving the agility of information-driven business processes by bridging information silos to unite content and data in one index to power solutions and applications that offer more complete insight.
Tags : 
attivio, data warehouse, unified information, data, content, unstructured content, integration, clob, blob, database development, data protection, data warehousing
    
Attivio
Published By: Box     Published Date: Jul 29, 2019
Most CIOs today understand that digital transformation initiatives can help streamline business process; boost ef?ciency; increase competitiveness; and, broadly, help their organization become disruptive over the long term. Some of the transformation initiatives under way—even in many pace-setting companies—are struggling to manage the exponential explosion of unstructured data and the associated heightened compliance and security demands, however. Fortunately, new solutions that tap arti?cial intelligence (AI) can extract hidden insights from unstructured data, such as documents, images, videos, and audio ?les. AI is also helping automate many of the labor-intensive processes used to classify, organize, and analyze unstructured content
Tags : 
    
Box
Start   Previous    1 2 3 4 5 6 7    Next    End
Search Resource Library      

Add Resources

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