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disparate data

Results 26 - 50 of 92Sort Results By: Published Date | Title | Company Name
Published By: Forcepoint     Published Date: Jun 06, 2019
Things aren't what they used to be in the enterprise. Your employees are mobile and they're storing and accessing data in cloud apps—often in disparate networks. That presents a serious challenge for old-school threat-centric security models that force you to make decisions with little insight or broader context. Download our eBook to find out how a human-centric, risk-adaptive approach to data security can free up your overwhelmed security team to focus on investigations that really matter.
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Forcepoint
Published By: Forcepoint     Published Date: Jun 06, 2019
Things are not as they used to be in the enterprise. Today’s employees are mobile, they’re storing and accessing data in cloud apps, and are in disparate networks. While the present-day digital world has changed, the objective of data protection has not: you must still ensure the security of your critical data and intellectual property without impacting an employee’s ability to do their job. The key is to gain visibility into user interactions with data and applications. Once this is achieved, you can apply a level of control based on the specific user’s risk and the sensitivity or value of the data. An organization’s data protection program must consider the human point — the intersection of users, data and networks. Enterprises must remain vigilant of data as it moves across hybrid environments and highlight the users who create, touch and move data who may pose the greatest risk to an organization.
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Forcepoint
Published By: FusionOps     Published Date: Jun 15, 2016
The supply chain generates huge volumes of data captured in ERP, CRM, demand planning and other systems. Download this whitepaper to learn how FusionOps Machine Learning can provide companies with a more accurate, granular understanding of their business by harmonizing these disparate data sources in the cloud, and applying machine learning algorithms.
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FusionOps
Published By: GE Healthcare     Published Date: Feb 23, 2015
Southwestern Ontario Diagnostic Imaging Network relies on Centricity™ Clinical Archive to connect 62 hospitals with disparate PACS & RIS systems, resulting in reduced storage costs and data duplication and increased productivity and enhanced quality of care. Learn more in this case study. Centricity Clinical Archive includes the following product components: Centricity Enterprise Archive, Universal Viewer ZFP, Caradigm eHIE, Centricity Clinical Gateway, NextGate MatchMetrix EMPI, PACSGEAR PacsSCANTM
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xds, cross enterprise document sharing, unified view of patient images, archive & storage, image sharing & management, vendor neutral archive (vna), centricity clinical archive, mobile image capture, enterprise archive, archiving services, zero footprint viewer, image archive, dicom storage
    
GE Healthcare
Published By: GE Healthcare     Published Date: Feb 23, 2015
Given the wide range of technology options available, it's important for healthcare IT executives to pick the right image management technology and approach for a long-term sustainable solution delivering the desired performance and ROI. This whitepaper explores solutions for multi-layered neutrality, a standards-based framework for unifying medical images and clinical documents across the enterprise and community.
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ge healthcare, clinical data, healthcare technology, image management technology, medical imaging, data management
    
GE Healthcare
Published By: GE Healthcare     Published Date: Feb 23, 2015
Given the wide range of technology options available, it's important for healthcare IT executives to pick the right image management technology and approach for a long-term sustainable solution delivering the desired performance and ROI. This whitepaper explores solutions for multi-layered neutrality, a standards-based framework for unifying medical images and clinical documents across the enterprise and community.
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enterprise imaging, advanced visualization, universal viewer, centricity pacs, 3d imaging, radiology imaging solutions, diagnostic medical imaging, radiology medical imaging, medical imaging technology, medical imaging pacs, medical imaging systems, medical imaging services, medical imaging technologies, smart reading protocols, multi-modality reading, unified view of patient images
    
GE Healthcare
Published By: Gigaom     Published Date: Oct 24, 2019
A huge array of BI, analytics, data prep and machine learning platforms exist in the market, and each of those may have a variety of connectors to different databases, file systems and applications, both on-premises and in the cloud. But in today’s world of myriad data sources, simple connectivity is just table stakes. What’s essential is a data access strategy that accounts for the variety of data sources out there, including relational and NoSQL databases, file formats across storage systems — even enterprise SaaS applications — and can make them all consumable by tools and applications built for tabular data. In today’s data-driven business environment, fitting omni-structured data and disparate applications into a consistent data API makes comprehensive integration, and insights, achievable. Want to learn more and map out your data access strategy? Join us for this free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust and special guests, Eric
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Gigaom
Published By: Group M_IBM Q2'19     Published Date: May 28, 2019
Amid the rising costs of healthcare, employers and health plans are under increasing pressure to produce fast insights from their data to help drive business decisions, identify opportunities to reduce cost, improve care quality and generate reports for diverse stakeholders. But these professionals often lack the time, resources and analytic expertise necessary to integrate and interpret the massive amounts of disparate data available to them.
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Group M_IBM Q2'19
Published By: Group M_IBM Q3'19     Published Date: Aug 20, 2019
Data Security Portfolio Vendors, Q2 2019, is a key industry report for helping security and risk professionals understand and assess the data security solution landscape, and how these solutions can address their business and technology challenges.Download the report to learn why Forrester believes IBM Security Guardium is a good fit “for buyers seeking to centrally reduce and manage data risks across disparate database environments”.The IBM Security Guardium portfolio empowers organizations to meet critical data security needs by delivering comprehensive visibility, actionable insights and real-time controls throughout the data protection journey.
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
In the last few years we have seen a rapid evolution of data. The need to embrace the growing volume, velocity and variety of data from new technologies such as Artificial Intelligence (AI) and Internet of Things (IoT) has been accelerated. The ability to explore, store, and manage your data and therefore drive new levels of analytics and decision-making can make the difference between being an industry leader and being left behind by the competition. The solution you choose must be able to: • Harness exponential data growth as well as semistructured and unstructured data • Aggregate disparate data across your organization, whether on-premises or in the cloud • Support the analytics needs of your data scientists, line of business owners and developers • Minimize difficulties in developing and deploying even the most advanced analytics workloads • Provide the flexibility and elasticity of a cloud option but be housed in your data center for optimal security and compliance
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Group M_IBM Q3'19
Published By: Group M_IBM Q418     Published Date: Oct 02, 2018
Organizations are faced with providing secure authentication, authorization, and Single Sign On (SSO) access to thousands of users accessing hundreds of disparate applications. Ensuring that each user has only the necessary and authorized permissions, managing the user’s identity throughout its life cycle, and maintaining regulatory compliance and auditing further adds to the complexity. These daunting challenges are solved by Identity and Access Management (IAM) software. Traditional IAM supports on-premises applications, but its ability to support Software-as-a-Service (SaaS)-based applications, mobile computing, and new technologies such as Big Data, analytics, and the Internet of Things (IoT) is limited. Supporting on-premises IAM is expensive, complex, and time-consuming, and frequently incurs security gaps. Identity as a Service (IDaaS) is an SaaS-based IAM solution deployed from the cloud. By providing seamless SSO integration to legacy on-premises applications and modern cloud-
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Group M_IBM Q418
Published By: IBM     Published Date: May 30, 2008
This white paper, authored by industry analyst IDC, explores the problems confronting IT organizations today as they seek to bring data together from disparate sources in order to achieve better information coherence, operational efficiency, and more effective overall governance. Specifically, the paper considers the problems posed by the complexity of "data integration" technology in terms of its configuration and maintenance. It looks at the utility of a grid computing approach in providing scalability and manageability for "data integration" and considers how an appliance approach can further reduce cost and risk for customers.
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information management, data integration, blade server, ibm, leveraging information, ibm li, li campaign
    
IBM
Published 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.
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ibm, cyber threat analysis, ibm i2 enterprise insight analysis, cyber security, business intelligence, security
    
IBM
Published By: IBM     Published Date: Jul 28, 2016
Read this white paper to discover how predictive analytics and cognitive commerce make it possible to get instant access to integrated information and actionable insights so you can deliver superior-and profitable-interactions with customers. You'll learn: What it takes to uncover hidden trends and explore relationships across disparate data sources using natural language queries Ways to use in-depth insight to create highly relevant campaigns and content that's aligned with individual customer behaviors and preferences How to take product recommendations to new levels of accuracy with pinpoint prediction and targeting.
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ibm, commerce, analytics, business insight, business analytics, business advisor, commerce data, predictive analytics, enterprise applications
    
IBM
Published By: IBM     Published Date: Sep 08, 2016
Read this white paper to discover how predictive analytics and cognitive commerce make it possible to get instant access to integrated information and actionable insights so you can deliver superior-and profitable-interactions with customers. You'll learn: What it takes to uncover hidden trends and explore relationships across disparate data sources using natural language queries Ways to use in-depth insight to create highly relevant campaigns and content that's aligned with individual customer behaviors and preferences How to take product recommendations to new levels of accuracy with pinpoint prediction and targeting
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ibm, ecommerce, b2c, b2c ecommerce, commerce, data, business advisor, enterprise applications
    
IBM
Published By: IBM     Published Date: Jan 27, 2017
Companies today increasingly look for ways to house multiple disparate forms forms of data under the same roof, maintaining original integrity and attributes. Enter the Hadoop-based data lake. While a traditional on-premise data lake might address the immediate needs for scalability and flexibility, research suggests that it may fall short in supporting key aspects of the user experience. This Knowledge Brief investigates the impact of a data lake maintained in a cloud or hybrid infrastructure.
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IBM
Published By: IBM     Published Date: May 01, 2017
Endpoints continue to advance… Employees come and go... And the security landscape is in constant flux. IT leadership must rise to the challenge of managing a disparate and growing number of endpoints, operating systems, and platforms. The only efficient method of managing and securing all endpoints, their users, apps, content, and data is to implement and deploy a unified endpoint management (UEM) solution that changes and adapts with new technology, more skilled users, and increasingly sophisticated attacks by hackers. Read onward to learn why UEM is necessary, how it addresses complex problems encountered in the modern enterprise, and best practices for a successful deployment.
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endpoints, employees, security landscape, security leaders, it security, unified endpoint management
    
IBM
Published By: IBM     Published Date: Jul 06, 2017
Companies today increasingly look for ways to house multiple disparate forms of data under the same roof, maintaining original integrity and attributes. Enter the Hadoop-based data lake. While a traditional on-premise data lake might address the immediate needs for scalability and flexibility, research suggests that it may fall short in supporting key aspects of the user experience. This Knowledge Brief investigate the impact of a data lake maintained in a cloud or hybrid infrastucture.
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data lake, user experience, knowledge brief, cloud infrastructure
    
IBM
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
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scalability, data warehousing, resource planning
    
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
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IBM
Published By: IBM     Published Date: Jun 04, 2018
"What would you do if you didn’t have to rely on disparate analytics solutions to meet the needs of business users while following the rules of IT? View this 'Charting Your Analytical Future' webinar to learn about a world of innovation and independence for users that does not limit the confidence and controls of IT. With the cognitive-guided self-service features available in IBM business analytics solutions, more users than ever before can get the answers they need. Next-generation business analytics capabilities make it possible to access relevant data, prepare it for analysis and understand performance. But it doesn’t stop there. Users can package the results in a visually-appealing format and share them throughout the organization. Don’t miss this opportunity to hear how you can: * Benefit from advanced analytics without the complexity * Operationalize insights and dashboards from a collection of trusted data sources * Tell your story with rich visualizations and geospati
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business analytics, analytics solutions
    
IBM
Published By: IBM Watson Health     Published Date: Jun 14, 2017
Electronic health records (EHRs) are necessary, but were not designed to anchor population health management (PHM). This is partly because they lack semantic interoperability, which is the ability of disparate information systems to share data and enable communications among users in a meaningful way. This paper explains how an approach that includes a care collaboration platform can manage population health by aggregating and normalizing the necessary data.
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ehr, ibm, health management, population health management, data aggregation, information systems
    
IBM Watson Health
Published By: IBM Watson Health     Published Date: Sep 29, 2017
In the world of value-based healthcare, your data is the key to extracting the most actionable insights that provide real value to your organization. But getting to those insights can prove difficult, especially if you have to connect disparate data sources. You need transparency into key insights that can help your team make more informed decisions for the success of your organization. In this listicle, we explore five ways an analytics solution can help you transform your organization through the power of insight. From risk modeling to predictive analytics, utilizing the right mix of analytics can improve patient outcomes and ultimately move your organization closer to your ideal value-based care model
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value-based care, analytics, insights, data, business intelligence, ehr, fee-for-service, cognitive, predictive, outcomes, infrastructure
    
IBM Watson Health
Published By: Intel® Services     Published Date: Aug 12, 2014
As more data becomes available and the demand for better health and fitness information increases, it’s clear that a solid API strategy is needed to integrate these disparate sources while protecting sensitive data.
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Intel® Services
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