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Published By: Hitachi Vantara     Published Date: Aug 14, 2018
In this book, we are going to look at the key trends driving the modernization of data infrastructure. We’ll see how organizations are adapting and flourishing in a data-driven world. For some time, headlines have been around the internet of things (IoT), big data and data analytics. While these developments are important, the reality is that you cannot take full advantage of them without modernization. We’re going to look at these trends and priorities in detail, then look at the three key drivers of modernization: governance, mobilization and analytics. We’ll also consider the technologies that make up modern data infrastructure including artificial intelligence (AI), flash storage, converged and hyperconverged platforms and software-defined infrastructures. By making sense of data, we make sense of the world. With more data than ever before, we have the tools to turn all that information into intelligent innovation and change the way the world works.
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data infrastructure, big data, internet of things
    
Hitachi Vantara
Published By: AWS - ROI DNA     Published Date: Aug 09, 2018
In today's data -driven digital environment, companies are collecting, transforming and connecting data in innovative and meaningful ways. A robust information and data management solution enables you to leverage the power of your data, exploring and uncovering insights in documents, images and audio across billions of inputs and existing data assets.
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AWS - ROI DNA
Published By: Dell     Published Date: Aug 08, 2018
Today's dynamic data demands pose new threats to security and IT professionals have to mitigate new risks without restricting the flow of information. Per findings discovered in a recent Forrester report, "Evolving Security to Accommodate the Modern Worker", Brett Hansen, Dell's Vice President of Client Software and General Manager of Data Security, shares his insights on solutions Dell provides to meet the needs of employees and IT. Download this article to learn: • What IT departments can do to tailor security solutions to different users • How flexible security can be to address the needs of various workers • Which solutions are best at protecting your data
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Dell
Published By: Datastax     Published Date: Aug 03, 2018
Distributed cloud databases are transforming the way organizations do business. Read this new, informative guide to learn what distributed cloud databases are and why they’re what’s required to power Right-Now Economy applications. You'll also get straightforward yet detailed information on the database requirements for today’s applications, the limitations of relational databases, and the importance of data autonomy in database selection. With Designing a Distributed Cloud Database for Dummies, you'll learn how enterprises can meet and exceed customer expectations by way of modern applications and distributed cloud databases.
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Datastax
Published By: Hitachi Vantara     Published Date: Aug 02, 2018
In this book, we are going to look at the key trends driving the modernization of data infrastructure. We’ll see how organizations are adapting and flourishing in a data-driven world. For some time, headlines have been around the internet of things (IoT), big data and data analytics. While these developments are important, the reality is that you cannot take full advantage of them without modernization. We’re going to look at these trends and priorities in detail, then look at the three key drivers of modernization: governance, mobilization and analytics. We’ll also consider the technologies that make up modern data infrastructure including artificial intelligence (AI), flash storage, converged and hyperconverged platforms and software-defined infrastructures. By making sense of data, we make sense of the world. With more data than ever before, we have the tools to turn all that information into intelligent innovation and change the way the world works.
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data infrastructure, big data, internet of things
    
Hitachi Vantara
Published By: Stardog Union     Published Date: Jul 27, 2018
When enterprises consider the benefits of data analysis, what's often overlooked is the challenge of data variety, and that most successful outcomes are driven by it. Yet businesses are still struggling with how to query distributed, heterogeneous data using a unified data model. Fortunately, Knowledge Graphs provide a schema flexible solution based on modular, extensible data models that evolve over time to create a truly unified solution. How is this possible? Download and discover: • Why businesses should organize information using nodes and edges instead of rows, columns and tables • Why schema free and schema rigid solutions eventually prove to be impractical • The three categories of data diversity including semantic and structural variety
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Stardog Union
Published By: IBM     Published Date: Jul 09, 2018
As the information age matures, data has become the most powerful resource enterprises have at their disposal. Businesses have embraced digital transformation, often staking their reputations on insights extracted from collected data. While decision-makers hone in on hot topics like AI and the potential of data to drive businesses into the future, many underestimate the pitfalls of poor data governance. If business decision-makers can’t trust the data within their organization, how can stakeholders and customers know they are in good hands? Information that is not correctly distributed, or abandoned within an IT silo, can prove harmful to the integrity of business decisions. In search of instant analytical insights, businesses often prioritize data access and analysis over governance and quality. However, without ensuring the data is trustworthy, complete and consistent, leaders cannot be confident their decisions are rooted in facts and reality
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IBM
Published By: IBM     Published Date: Jul 05, 2018
IBM® Information Governance Catalog helps you understand your information and foster collaboration between business and IT by establishing a common business vocabulary on the front end, and managing data lineage on the back end. By leveraging the comprehensive capabilities in Information Governance Catalog, you are better able to align IT with your business goals. Information Governance Catalog helps organizations build and maintain a strong data governance and stewardship program that can turn data into trusted information. This trusted information can be leveraged in various information integration and governance projects, including big data integration, master data management (MDM), lifecycle management, and security and privacy initiatives. In addition, Information Governance Catalog allows business users to play an active role in information-centric projects and to collaborate with their IT teams without the need for technical training. This level of governance and collaboration c
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IBM
Published By: IBM     Published Date: Jul 05, 2018
Scalable data platforms such as Apache Hadoop offer unparalleled cost benefits and analytical opportunities. IBM helps fully leverage the scale and promise of Hadoop, enabling better results for critical projects and key analytics initiatives. The end-to- end information capabilities of IBM® Information Server let you better understand data and cleanse, monitor, transform and deliver it. IBM also helps bridge the gap between business and IT with improved collaboration. By using Information Server “flexible integration” capabilities, the information that drives business and strategic initiatives—from big data and point-of- impact analytics to master data management and data warehousing—is trusted, consistent and governed in real time. Since its inception, Information Server has been a massively parallel processing (MPP) platform able to support everything from small to very large data volumes to meet your requirements, regardless of complexity. Information Server can uniquely support th
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IBM
Published By: Evariant     Published Date: Jul 02, 2018
When call center agents don’t have access to an EMR, consumer demographic, sociological and other data, nor an understanding of marketing campaigns, agents are inefficient, reactive and unable to personalize interactions with patients and consumers. The disjointed call center experience harms the health system’s ability to find, guide, and keep patients for life. The call center is often the first touch for many prospective healthcare customers, and Scripps Health recognized these challenges. They made the pivot from call center as cost center to strategic lynch pin in their patient experience strategy. Call center agents are now delivering a world-class patient experience as they provide physician referrals, take class registrations, and serve as a clearing house for general information . An added bonus of the shift is they can now integrate outbound calling into campaign efforts, and measure the full impact of marketing efforts and strengthen marketing’s ROI. Get your free copy of
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call center, conversions, health, proactive
    
Evariant
Published By: Cylance     Published Date: Jul 02, 2018
The cyberattacks of 2017 proved more numerous, sophisticated, and ruthless than in years past. Threat actors, armed with knowledge stolen from the CIA and tools lifted from the NSA, demonstrated an elevated level of proficiency. WannaCry and NotPetya, two prominent threats from last year, successfully exploited these stolen assets in their assault on systems worldwide. As 2017 progressed, new opportunities developed in ransomware-as-a-service (RaaS), opening the gates of malware-for-profit to everyone. Advancements in fileless attacks provided new ways for threats to hide from once reliable detection methods. Malware features such as polymorphism continued to play a powerful role in evading traditional defenses. The victims of cybercrime ranged from private businesses to the fundamental practices of democracy. France and the United States saw significant data breaches during their recent presidential elections. Several high-profile companies lost their customers’ personally identifiable information to cyberattacks, blemishing their brands and costing them untold millions in recovery operations. This report contains an overview of the threat trends and malware families Cylance's customers faced in 2017. This information is shared with the goal of assisting security practitioners, researchers, and individuals in our collective battle against emerging and evolving cyberthreats.
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cyber attacks, cia, nsa, wannacry, notpetya
    
Cylance
Published By: Cylance     Published Date: Jul 02, 2018
Artificial intelligence (AI) seems to be on everyone’s mind. It powers natural language recognition within voice-powered assistants like Siri and Alexa, beats world-class Go players, and enables hyper-targeted e-commerce and content recommendations across the web, as we see with Amazon and Netflix. But recently, AI has begun actively expanding its footprint within the enterprise. Executives are trying to more fully comprehend what AI is and how they can use its insights into their data to better capitalize on business opportunities. This additional information can enable engaging with customers more productively and efficiently, forming an edge against the competition. Read more in our AI survey summary.
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artificial, intelligence, enterprise
    
Cylance
Published By: Cylance     Published Date: Jul 02, 2018
With cybercriminals threatening nations globally, cybersecurity is taking a front seat in many regions. Most notably, the European Union (EU) has adopted regulations to combat the threats. Against the backdrop of increasingly sophisticated cyberattacks, the EU has set forth rules and procedures for enhanced cybersecurity, along with penalties for noncompliance, in the form of the General Data Protection Regulation (GDPR). This new body of mandated policies and procedures aims to protect EU member personal information collected and/or stored by organizations. Read more in the GDPR business brief.
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data, gdpr, global, nationally, cybercriminals
    
Cylance
Published By: IBM     Published Date: Jul 02, 2018
Cloud has evolved from a technological innovation to an integral part of business. Companies in every industry are investing in Digital Transformation initiatives to evolve and grow; often, cloudbased platforms are foundational elements of these transformations, as businesses increasingly seek the flexibility and agility to roll out new software services in days or weeks, versus months or years. As Digital Transformation initiatives unfold, one key challenge is to modernize the data center to facilitate rapid delivery of new applications and services—while still ensuring that existing missioncritical applications remain high performing, available, and secure. Another challenge relates to new requirements for accelerating the analysis of organizational data to near real time, much faster than previously possible with earlier incarnations of Business Intelligence (BI). Agile businesses are demanding faster access to the information contained within operational and business data stores to
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IBM
Published By: Datastax     Published Date: Jun 26, 2018
Distributed cloud databases are transforming the way organizations do business. Read this new, informative guide to learn what distributed cloud databases are and why they’re what’s required to power Right-Now Economy applications. You'll also get straightforward yet detailed information on the database requirements for today’s applications, the limitations of relational databases, and the importance of data autonomy in database selection. With Designing a Distributed Cloud Database for Dummies, you'll learn how enterprises can meet and exceed customer expectations by way of modern applications and distributed cloud databases.
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Datastax
Published By: Box     Published Date: Jun 22, 2018
These days, everyone's talking about digital transformation. But exactly how does your company get there? Capture is a great place to start — in fact, it's one of the most critical steps to take as you move your business into the digital age. Whether it’s simply using OCR to make content more easily discoverable, adding and enhancing metadata to drive specific processes, or classifying content from the onset for better information governance, capture adds a ton of value to your existing content assets. This ebook details our key takeaways from AIIM's Industry Watch Report, Improving Business Operations in 2017: Capturing Vital Content. We share how cloud-based capture tools are replacing the longstanding legacy of paper-based processes to streamline and speed up the way you do business. Download the ebook to learn: • How the latest capture innovations can support your digital strategy • 5 business processes that benefit most from advanced capture technologies • The key benefits of c
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Box
Published By: Sage Software     Published Date: Jun 20, 2018
Data inundation and information overload have burdened practically every largescale enterprise today, providing great amounts of detail but often very little context on which executives can act. According to the Harvard Business Review, less than half of an organization’s structured data is actively used in making decisions. The burden is felt profoundly among finance executives, who increasingly require fast and easy access to real-time data in order to make smart, timely, strategic decisions. In fact, 80% of analysts’ time is spent simply discovering and preparing data, and the average CFO receives information too late to make decisions 24% of the time.
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sage enterprise management, bms, erp, bom, enterprise accounting, enterprise intelligence, drp, enterprise, mrp
    
Sage Software
Published By: Dassault Systčmes     Published Date: Jun 19, 2018
As more companies compete for business, Original Equipment Manufacturers (OEMs) increasingly demand higher production rates and greater production flexibility from suppliers. If smaller-sized companies want to compete, they need the right tools and latest technology. NC Machining manufactures should ask three primary questions when considering the tools to improve competitiveness and implement Lean practices: • Do the tools provide the means for improved collaboration between engineering and manufacturing, and incorporate manufacturing best practices? • Can all data and program information reside in one database or platform that is accessible concurrently by all enterprise stakeholders—from design engineering to the shop floor? • Is it possible to perform real-time multi-disciplinary simulations to improve performance and manufacturing targets? Discover how to optimize your NC Machine Shop Production, minim
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Dassault Systčmes
Published By: Symantec     Published Date: Jun 13, 2018
The General Data Protection Regulation (GDPR) takes effect May25, 2018. If you process European Union (EU) personal data, GDPR likely applies to you—even if you’re not in the EU. That’s because the regulation is truly global in scope and applies to any organization that processes EU personal data, irrespective of where the companies are based or where the data is processed. At its heart, the GDPR legislation is about ensuring privacy is respected as a fundamental right and that personal data is kept private and secure. Elizabeth Denham, of the EU Information Commissioner Office (ICO), says “This law is not about fines. It’s about putting the consumer and citizen first” and “Issuing fines has always been and will continue to be, a last resort.” However, it’s important to note the costs of noncompliance can be severe. These can include a fine of up to 4 percent of global turnover (revenues) or €20m, whichever is higher; a temporary or permanent suspension of the right to access or proce
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Symantec
Published By: TopQuadrant     Published Date: Jun 11, 2018
Data governance is a lifecycle-centric asset management activity. To understand and realize the value of data assets, it is necessary to capture information about them (their metadata) in the connected way. Capturing the meaning and context of diverse enterprise data in connection to all assets in the enterprise ecosystem is foundational to effective data governance. Therefore, a data governance environment must represent assets and their role in the enterprise using an open, extensible and “smart” approach. Knowledge graphs are the most viable and powerful way to do this. This short paper outlines how knowledge graphs are flexible, evolvable, semantic and intelligent. It is these characteristics that enable them to: • capture the description of data as an interconnected set of information that meaningfully bridges enterprise metadata silos. • deliver integrated data governance by addressing all three aspects of data governance — Executive Governance, Representative Governance, and App
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TopQuadrant
Published By: SAS     Published Date: Jun 06, 2018
The Internet of Things (IoT) is rapidly emerging as a core transformational technology of the digital era. The ability to gather data from sensors embedded throughout an enterprise can drive insights and operational efficiencies from the supply chain to the customer. But IoT and Industrial IoT (IIoT) implementations require high degrees of IT/OT convergence - collaboration and integration between information technology and operational technology groups - to succeed. These two groups, however, often have different goals, performance metrics, and perspectives on both the collaboration and the outcome. This SAS/HPE-sponsored paper helps readers get a better understanding of the relationship, either real or perceived, between these two groups. Futurum Research surveyed the state of the relationship between IT and OT teams as it pertains to the design, implementation, and creation of value through IoT technologies.
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SAS
Published By: IBM     Published Date: Jun 04, 2018
"Today’s business users want to use all types of data to create compelling, shareable visualizations. But charts and graphs alone may not convey all the information, especially when they are part of a complex series. An audience can best understand analytic results when those results tell a story that connects all the pieces together. The right visuals can also reinforce the lessons buried in the data. Stories are powerful mechanism to communicate with people. Stories stick and make insights actionable, so it goes without saying that storytelling is a very powerful (soft) skill. In this webinar, you'll learn how to effectively apply storytelling best practices to get your message across. Especially in the world of BI, it is getting more and more important to effectively communicate business results. Watch this webinar to learn how to use IBM Cognos Analytics to: · Create the important elements of a good story · Put the data in context · Select the best type of ch
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data analytics, data storytelling, business intelligence
    
IBM
Published By: TIBCO Software APAC     Published Date: May 31, 2018
Integration is the lifeblood of today’s digital economy, and middleware is the software layer connecting different applications, services, devices, data sources, and business entities. This Ovum Decision Matrix (ODM) is a comprehensive evaluation to help enterprise IT leaders, including chief information officers (CIOs), enterprise/integration architects, integration competency center (ICC)/integration center of excellence (CoE) directors, and digital transformation leaders select a middleware-as-aservice (MWaaS) suite best suited to their specific hybrid integration requirements.
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TIBCO Software APAC
Published By: TIBCO Software APAC     Published Date: May 31, 2018
Integration is the lifeblood of today’s digital economy, and middleware is the software layer connecting different applications, services, devices, data sources, and business entities. This Ovum Decision Matrix (ODM) is a comprehensive evaluation to help enterprise IT leaders, including chief information officers (CIOs), enterprise/integration architects, integration competency center (ICC)/integration center of excellence (CoE) directors, and digital transformation leaders select a middleware-as-aservice (MWaaS) suite best suited to their specific hybrid integration requirements. Download this whitepaper to read further on Hybrid integration suites for cloud service, API-led, B2B, and mobile application integration.
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TIBCO Software APAC
Published By: SAS     Published Date: May 24, 2018
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
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SAS
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