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Published By: MarkLogic     Published Date: May 15, 2017
Data is critical to the entertainment industry and not taking advantage of it can keep you from creating great experiences and delivering the right content to partners. And, more than that, it can make it hard for you to optimize operations, get insight into the content’s value and stay ahead of the many changes in how content is created, consumed and monetized. However, even with the new digital tools in production, there are many challenges to making use of this data. The effort involved can take time and resources away from film production, introduce security risks, and leave key data inaccessible to those that need it. In this paper, we review: • The current state of production data • The challenges the entertainment industry is facing in making use of data • A new “Smart Content” approach that is helping industry pioneers to reduce complexity on the set, drive reporting, and enable them to stay ahead of market changes
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MarkLogic
Published By: Lookout     Published Date: Dec 07, 2017
How to think about the risk to data from the mobile ecosystem Mobile devices, even those that are corporate owned, are personal. Your CEO uses the same smartphone to send confidential emails, snap family photos, inspect customer records, get directions to meetings, and scrutinize financial reports. Every employee in your organization does the same thing. Your organization's critical data is constantly being accessed by mobile devices, and once it leaves the network you have no visibility into where it goes, and little or no ability to enforce your security policy to protect it. Your organization’s sensitive data has made the mobile ecosystem the new frontier for a wide spectrum of risk that every CISO must now understand. Take a deep dive into all twelve elements of the Mobile Risk Matrix in the interactive table below.
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Lookout
Published By: Carbonite     Published Date: Oct 10, 2018
These days, a lot of organizations are looking to the cloud to help them protect their data. They wish to take advantage of the appealing economics and operational agility that are two of the biggest attributes of a cloud-based IT infrastructure. Leveraging the cloud can be a smart choice for any organization interested in gaining more control over costs (i.e., almost all organizations). According to ESG research, reducing costs was the second most commonly reported business driver affecting IT spending in 2016
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Carbonite
Published By: Wasabi     Published Date: Nov 13, 2018
The digital revolution will be won by those who can most efficiently store and leverage their ever-increasing amounts of data. The answer for that is in the cloud. Only the cloud can answer our seemingly bottomless need for storage, and, now thanks to Wasabi, do it with revolutionary speed and affordability. Wasabi is 80% less than and 6x faster than Amazon S3. Migrating to the cloud is now not just a necessity, it’s a smart business decision. Understand what’s coming and how to navigate it. Download 'Surviving the big data apocalypse’
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Wasabi
Published By: Group M_IBM Q119     Published Date: Mar 08, 2019
The transformation imperative is now the imperative of the entire enterprise. The challenge to leaders of top financial services firms is to build operating models that are ready for anything. Join American Banker Editor-at-Large, Penny Crosman, and former IBM Global leader for strategy and design, Robert Schwartz, as they discuss this idea, pulling clips from a recent event for industry leaders, including: Bridget van Kalingen, IBM on redefining success with cloud, AI, quantum and blockchain Shari van Cleave, Wells Fargo on rethinking data strategies in the age of AI Bret King, Moven on rebuilding the bank from the ground up Rob Bauer, AIG on the ways to get started with transformative projects Marty Lippert, MetLife on creating space for innovation by migrating core operations off of legacy infrastructure and many more
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Group M_IBM Q119
Published By: Intapp     Published Date: Nov 01, 2019
Chief Marketing Officers who modernize business development strategies can accelerate revenue and market share growth with both new and existing clients. This requires unifying data across the entire client lifecycle, making that data transparent, and developing insights that drive better decision making across the board. How much of an impact can this modern approach make? According to a recent study conducted by ALM Legal Intelligence and Calibrate Legal, the investment pays off with Am Law 200 firms seeing an average return of $47 million on $1 million of marketing and business development spending. Download this point of view to learn what it takes to transform today’s law firm marketing from reactive to predictive. Topics include: Winning business with data-driven insights CMOs as change agents The data divide Smart collaboration in action: Key-client planning The pivot: From reactive to predictive
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Intapp
Published By: Sage People     Published Date: Jan 26, 2018
Do you know your people as well as you know your customers? Your people’s expectations and the way they work is changing. Employees are more diverse, mobile and technologically-savvy than ever before. HR processes are changing from focusing on transactions to knowing and engaging people. Just as sales and marketing teams use data to develop actionable and informed insights about their customers, you need to do the same in HR to know your people. Everything, from attracting and keeping the best talent, to creating better workplace experiences and increasing employee engagement and productivity, depends on smarter decisions. These in turn rely on more actionable insights. These are only possible through accurate HR data and analytics. They are vital to address the people challenges you face, so you can make smarter decisions.
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Sage People
Published By: Oracle     Published Date: Oct 19, 2016
This Digibook explores the growth of cloud, social, mobile and big data, and how smart CFOs are taking advantage.
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Oracle
Published By: Pure Storage     Published Date: Oct 09, 2018
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data.
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Pure Storage
Published By: NetApp     Published Date: Feb 19, 2015
NetApp Flash Pool is a storage cache option within the NetApp Virtual Storage Tier product family, available for NetApp FAS storage systems. A Flash Pool configures solid state drives (SSDs) and hard disk drives (HDDs) into a single storage pool, known as an “aggregate” in NetApp parlance, with the SSDs providing a fast response time cache for volumes that are provisioned on the Flash Pool aggregate. In this lab evaluation, NetApp commissioned Demartek to evaluate the effectiveness of Flash Pool with different types and numbers of hard disk drives using an online transaction processing (OLTP) database workload, and to evaluate the performance of Flash Pool in a clustered Data ONTAP environment during a cluster storage node failover scenario. In the report, you’ll dis cover how Demartek test engineers documented a 283% gain in IOPS and a reduction in latency by a factor of 66x after incorporating NetApp Flash Pool technology.
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NetApp
Published By: IBM     Published Date: Jul 05, 2016
Today's data-driven organization is faced with magnified urgency around data volume, user needs and compressed decision time frames. In order to address these challenges, while maintaining an effective analytical culture, many organizations are exploring cloud-based environments coupled with powerful business intelligence (BI) and analytical technology to accelerate decisions and enhance performance.
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ibm, datamart on demand, analytics, cloud, hybrid cloud, business insight
    
IBM
Published By: IBM     Published Date: Jul 08, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, idc, big data, data, analytics, information governance
    
IBM
Published By: IBM     Published Date: Jul 14, 2016
How do you keep 130,000 guests safely entertained, fed, watered and informed in a sustainable way? Roskilde Festival knew that the critical insights lay hidden in huge volumes of real-time data. The Copenhagen Business School used IBM technologies to build a cloud big data lab that correlates information from multiple sources, delivering valuable insight for planning and running the festival. Download to learn more.
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ibm, datamart on demand, data, analytics, big data, real-time data, cloud, cloud data analytics
    
IBM
Published By: IBM     Published Date: Jan 27, 2017
A solid information integration and governance program must become a natural part of big data projects, supporting automated discovery, profiling and understanding of diverse data sets to provide context and enable employees to make informed decisions. It must be agile to accommodate a wide variety of data and seamlessly integrate with diverse technologies, from data marts to Apache Hadoop systems. And it must automatically discover, protect and monitor sensitive information as part of big data applications.
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IBM
Published By: IBM     Published Date: Mar 29, 2017
One of the biggest changes facing organizations making purchasing and deployment decisions about analytic databases — including relational data warehouses — is whether to opt for a cloud solution. A couple of years ago, only a few organizations selected such cloud analytic databases. Today, according to a 2016 IDC survey, 56% of large and midsize organizations in the United States have at least one data warehouse or mart deploying in the cloud.
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cloud, analytics, data, organization, ibm
    
IBM
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
Published By: Dassault Systèmes     Published Date: Jun 19, 2018
This spotlight report examines: • How Manufacturing Operations Management (MOM) or Manufacturing Execution Systems (MES) are key enablers of data management and Digital Transformation. Companies can combine many other opportunities with manufacturing operations in a digital journey. • Product lifecycle management (PLM) as a high-value discipline to pair with MOM in discrete manufacturing, and the value of digital continuity across engineering, manufacturing operations, and supply chain. • A robust integration of MOM and PLM technologies and the advent of the Digital Twin (a virtual copy of the product and how it's made) to demonstrate maturity in Smart Manufacturing and the ability to make smart products in smart factories. The IIoT has opened up a world of opportunity for manufacturers. Take advantage of it.
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Dassault Systèmes
Published By: TIBCO Software     Published Date: Jun 14, 2019
As recognized leader in master data management (MDM), and a pioneer in data asset management, TIBCO EBX™ software is an innovative, single solution for managing, governing, and consuming all your shared data assets. It includes all the enterprise class capabilities you need to create data management applications including user interfaces for authoring and data stewardship, workflow, hierarchy management, and data integration tools. And it provides an accurate, trusted view of business functions, insights, and decisions to empower better decisions and faster, smarter actions. Download this datasheet to learn: What makes EBX™ software unique Various capabilities of EBX software The data it manages
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TIBCO Software
Published By: KPMG     Published Date: Jul 10, 2018
The real value of i4.0 comes from the integration of automation, data, analytics, manufacturing and products in a way that unlocks new business and operating models. Are you ready for the next industrial revolution? Read this report to find out: • why deep pockets alone won’t ensure i4.0 success • how to scale up projects and capabilities to drive enterprise-level value • what capabilities, controls and culture are required to support i4.0 success • how to unlock value by integrating smart processes and smart products • how to bring suppliers and value chain players into the i4.0 environment.
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KPMG
Published By: Oracle     Published Date: Sep 21, 2016
This digibook contains a step-by-step guide to overcoming the new challenges of raised expectations, big data, and globalization, with case studies and examples of how smart CFOs are redefining reporting.
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Oracle
Published By: NetApp     Published Date: Sep 22, 2014
NetApp Flash Pool is a storage cache option within the NetApp Virtual Storage Tier product family, available for NetApp FAS storage systems. A Flash Pool configures solid state drives (SSDs) and hard disk drives (HDDs) into a single storage pool, known as an “aggregate” in NetApp parlance, with the SSDs providing a fast response time cache for volumes that are provisioned on the Flash Pool aggregate. In this lab evaluation, NetApp commissioned Demartek to evaluate the effectiveness of Flash Pool with different types and numbers of hard disk drives using an online transaction processing (OLTP) database workload, and to evaluate the performance of Flash Pool in a clustered Data ONTAP environment during a cluster storage node failover scenario. In the report, you’ll dis cover how Demartek test engineers documented a 283% gain in IOPS and a reduction in latency by a factor of 66x after incorporating NetApp Flash Pool technology.
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flash pool, fas storage systems, ssd, online transaction processing, cluster storage
    
NetApp
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
For many years, traditional businesses have had a systematic set of processes and practices for deploying, operating and disposing of tangible assets and some forms of intangible asset. Through significant growth in our inquiry discussions with clients, and in observing increased attention from industry regulators, Gartner now sees the recognition that information is an asset becoming increasingly pervasive. At the same time, CDOs and other data and analytics leaders must take into account both internally generated datasets and exogenous sources, such as data from partners, open data and content from data brokers and analytics marketplaces, as they come to terms with the ever-increasing quantity and complexity of information assets. This task is clearly impossible if the organization lacks a clear view of what data is available, how to access it, its fitness for purpose in the contexts in which it is needed, and who is responsible for it.
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Waterline Data & Research Partners
Published By: AWS     Published Date: Nov 07, 2018
As more enterprises are moving some, if not all of their data and applications to the cloud – cost effectiveness, network performance and security are top of mind. AT&T NetBond for Cloud provides a dynamic, private connect to Amazon Web Services (AWS). Its enhanced infrastructure makes it easier to securely connect applications, platforms, and services. With AT&T NetBond for Cloud, customers are getting a single, end-to-end solution from one provider that allows them to maintain a hybrid environment, meaning that can utilize their current investments in their on-premises infrastructure and strategy. Download this eBook to learn how AT&T NetBond® can accelerate your journey to the cloud, improve ROI and secure your applications. Join our webinar to learn - Why Aira chose AT&T NetBond® to establish a global network connecting smart glasses to trained, professional agents - Best practices for quickly shifting network capacity to meet changing demands in real-time - How to take advantag
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AWS
Published By: AWS     Published Date: Nov 07, 2018
Enterprises seeking the security and performance capabilities of establishing their own private network are often turned away by the high cost and technical expertise required. AT&T NetBond® for Cloud helps establish private, dynamic connectivity from on-premises data centers to Amazon Web Services (AWS) in as little as 2-3 days. Aira, a customer focused on augmented reality, has leveraged the global connectivity capabilities of AT&T NetBond® to connect low vision or blind smart glasses users with a network of agents to guide the visually impaired through everyday tasks such as interpreting prescriptions. Download this case study with AT&T, Aira, and AWS to learn how AT&T NetBond® can accelerate your journey to the cloud, improve ROI and secure your applications. Join our webinar to learn - Why Aira chose AT&T NetBond® to establish a global network connecting smart glasses to trained, professional agents - Best practices for quickly shifting network capacity to meet changing demands
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AWS
Published By: IBM     Published Date: Jan 30, 2017
To better understand what companies are doing in the area of employee listening and the extent to which employees are willing to participate, we analyzed data from the 2015 IBM Smarter Workforce Institute WorkTrends Survey.
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ibm, employee voice, employee engagement, ibm smarter workforce institute
    
IBM
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