mark logic

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By: TIBCO Software     Published Date: Sep 03, 2019
For years, manufacturers have been trying to streamline processes and associated supply chains by building marketplaces, standardized exchanges, and monolithic systems. In many cases, these solutions missed the mark, resulting in fragmented and brittle processes without easy data sharing. Blockchain, the underlying technology behind Bitcoin and other cryptocurrencies, can potentially solve these problems. Sharing information via a trusted distributed network with embedded business logic offers many benefits for manufacturing, especially when combined with the IoT and AI communities. Watch this webinar: Blockchain & Manufacturing: A Smarter Way to Drive Efficiency in the Semiconductor and Electronics Supply Chains, with speaker Nelson Petracek, chief technology officer, TIBCO Software.
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     TIBCO Software
By: Adobe     Published Date: Jul 15, 2019
Malgré des différences certaines entre les plates-formes d’automatisation, la réussite tient souvent à trois facteurs : votre stratégie et votre processus, votre flux de contenus et de leads, et vos collaborateurs. En règle générale, un investissement limité dans ces trois domaines se traduira par un retour sur investissement (ROI) de l’automatisation marketing correct, mais pas exceptionnel. Plus vous investirez, plus vous ferez bouger les curseurs et augmenterez votre ROI. Le secret est de voir grand, de commencer petit et d’avancer rapidement. Autrement dit, les meilleurs résultats sont généralement obtenus en démarrant avec ce que vous avez et en investissant progressivement.
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     Adobe
By: MuleSoft     Published Date: Jun 27, 2019
As the leading CRM system, Salesforce can accelerate and increase sales, enhance customer loyalty, and grow marketing capabilities. But how can businesses extend Salesforce to streamline business processes and maximize services and solutions? Effective and efficient integration of Salesforce with adjacent enterprise systems — such as databases, ERP and CRM systems, and custom applications — is critical to enabling sales teams, increasing revenue, and better serving customers. Across the broad spectrum of Salesforce integration needs, patterns emerge for how to best address integration challenges. Integration patterns are the most logical sequence of steps to solving a specific type of integration problem. Learn how to synchronize CRM systems, migrate from legacy CRM systems, broadcast ERP data into your CRM system, and more. Download the whitepaper now.
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     MuleSoft
By: MuleSoft     Published Date: Apr 15, 2019
Healthcare organizations across the care continuum, from hospitals and health systems, to health insurers, to life sciences companies, must digitally transform in order to address legislative and market disruption. Driving digital transformation in healthcare requires connectivity across an ever-increasing number of applications, data and devices. Because of this, connectivity has emerged as a bottleneck that slows the development of new applications and the adoption of new technologies. In response, leading healthcare organizations have adopted API-led connectivity, which eliminates this connectivity bottleneck and enables 2-5X IT project delivery. Download this eBook to learn: How leading healthcare organizations like Sutter Health, Premera Blue Cross and Hologic are leveraging API-led connectivity to accelerate IT project delivery speed How APIs can be used to address the unique business and IT challenges faced by health systems, health insurers and life sciences companies How Mu
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     MuleSoft
By: DigiCert     Published Date: Jun 19, 2018
Protect your business, brand and customers in a constantly evolving threat landscape. As market and business needs evolve, and the technological arms race between cybercriminals and the security industry continues, the boundaries of website and web security are shifting. This paper explores the opportunities, risks and challenges, associated with this rapidly evolving landscape both from a business and technical standpoint, and lays out key guidelines for building an effective security strategy for the future.
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     DigiCert
By: SAS     Published Date: May 24, 2018
Information on artificial intelligence (AI) is flooding the market, media and social channels. Without doubt, it’s certainly a topic worth the attention. But, it can be difficult to sift through market hype and grandiose promises to understand exactly how AI can be applied in practical and reliable solutions. Like most technological advances, incorporating new technology into business processes requires significant leadership and effective direction that all stakeholders can easily understand. Great leaders become great by balancing strategy with tactics, future vision with current reality and strengths with weaknesses – all with the goal of accomplishing a clearly defined objective. Great leaders also understand that people are the most valuable resources within their organization. To drive and inspire their success, you must optimize strengths while recognizing inherent weaknesses. Many of our daily human experiences and interactions involve machines or devices of some sort. Technolo
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     SAS
By: MarkLogic     Published Date: May 07, 2018
Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.
Tags : agile, enterprise, metadata, management, organization
     MarkLogic
By: MarkLogic     Published Date: May 07, 2018
Learn how Life Sciences organizations can accelerate Real World Evidence by achieving faster time to insight with a metadata-driven, semantically enriched operational platform. Real World Evidence (RWE) is today’s big data challenge in Life Sciences. Medical records, registries, consultation reports, insurance claims, pharmacy data, social media, and patient surveys all contain valuable insights that Life Sciences organizations need to ascertain and prove the safety, efficacy, and value of their drugs and medical devices. Learn how Life Sciences organizations can accelerate RWE with a metadata-driven, semantically enriched operational platform that enables them to: • Unify, harmonize and ensure governance of information from diverse data sources • Transform information into evidence that proves product efficacy and safety • Identify data patterns, connections, and relationships for faster time to insight
Tags : data, integration, drug, device, manufacture, science
     MarkLogic
By: MarkLogic     Published Date: Mar 29, 2018
It’s your golden opportunity: Rapidly integrate and harmonize data silos. Enhance drug discovery. Achieve faster time to insight. Get to market faster — all with less cost than you think. Explore how Life Sciences organizations can accelerate Real World Evidence (RWE) in a comprehensive and cost efficient manner. Download this white paper to learn about challenges, solutions and most importantly — how to equip your organization for success.
Tags : manufacturers, organizations, integration, optimization, data, quality
     MarkLogic
By: MarkLogic     Published Date: Mar 29, 2018
Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.
Tags : enterprise, metadata, management, organizations, technology, tools, mark logic
     MarkLogic
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
By: SAS     Published Date: Mar 06, 2018
Information on artificial intelligence (AI) is flooding the market, media and social channels. Without doubt, it’s certainly a topic worth the attention. But, it can be difficult to sift through market hype and grandiose promises to understand exactly how AI can be applied in practical and reliable solutions. Like most technological advances, incorporating new technology into business processes requires significant leadership and effective direction that all stakeholders can easily understand.
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     SAS
By: MarkLogic     Published Date: Nov 30, 2017
The OPDBMS market in 2017 brings cloud and fully managed options center stage for execution. Market-defining vision includes features for machine learning, serverless scenarios and streaming integration. Data and analytics leaders must balance current and future needs against this market landscape.
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     MarkLogic
By: Oracle OMC     Published Date: Nov 30, 2017
The face of retail – both online and instore – is rapidly evolving. In addition to margin pressures, resource constraints, and competitive challenges retailers face on an ongoing basis, many are struggling to keep up with the evolving demands of vocal consumers. As new channels and buying habits emerge and evolve, many retail marketers have struggled to keep up. Although many have adopted new technologies to address new channels and challenges, the rapid pace of technological change has created new challenges including: Data silos E-mail marketing overload Channel coordination and conflict These challenges, coupled with the rising cost of acquiring and managing customer data, are compounded by increasing scrutiny on marketing budgets and an expectation of being able to prove the value of every campaign in terms of increased revenues.
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     Oracle OMC
By: MarkLogic     Published Date: Nov 07, 2017
Today, data is big, fast, varied and constantly changing. As a result, organizations are managing hundreds of systems and petabytes of data. However, many organizations are unable to get the most value from their data because they’re using RDBMS to solve problems they weren’t designed to fix. Why change? 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 organizations have in their data centers. It is for this reason that leading organizations are going beyond relational to embrace new kinds of databases. And when they do, the results can be dramatic.
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     MarkLogic
By: MarkLogic     Published Date: Nov 07, 2017
Business demands a single view of data, and IT strains to cobble together data from multiple data stores to present that view. Multi-model databases, however, can help you integrate data from multiple sources and formats in a simplified way. This eBook explains how organizations use multi-model databases to reduce complexity, save money, lessen risk, and shorten time to value, and includes practical examples. Read this eBook to discover how to: Get unified views across disparate data models and formats within a single database Learn how multi-model databases leverage the inherent structure of data being stored Load as is and harmonize unstructured and semi-structured data Provide agility in data access and delivery through APIs, interfaces, and indexes Learn how to scale a multi-model database, and provide ACID capabilities and security Examine how a multi-model database would fit into your existing architecture
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     MarkLogic
By: MarkLogic     Published Date: Nov 07, 2017
NoSQL means a release from the constraints imposed on database management systems by the relational database model. This quick, concise eBook provides an overview of NoSQL technology, when you should consider using a NoSQL database over a relational one (and when to use both). In addition, this book introduces Enterprise NoSQL and shows how it differs from other NoSQL systems. You’ll also learn the NoSQL lingo, which customers are already using it and why, and tips to find the right NoSQL database for you.
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     MarkLogic
By: MarkLogic     Published Date: Nov 07, 2017
Your high-stakes data projects don’t have to end – as analysts predict – in failure. Don’t just rely on legacy technology and outdated thinking - the key is to start your next data project armed with the right technology and mindset to succeed. This paper will give you insights and guidelines to help you learn how to leverage all of your data to reach your data integration objectives with less time and expense than you might imagine. Change is good, and in this paper we’ll give you real-world examples of organizations that embraced change and found success.
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     MarkLogic
By: MarkLogic     Published Date: Nov 07, 2017
This eBook explains how databases that incorporate semantic technology make it possible to solve big data challenges that traditional databases aren’t equipped to solve. Semantics is a way to model data that focuses on relationships, adding contextual meaning around the data so it can be better understood, searched, and shared. Read this eBook, discover the 5 steps to getting smart about semantics, and learn how by using semantics, leading organizations are integrating disparate heterogeneous data faster and easier and building smarter applications with richer analytic capabilities.
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     MarkLogic
By: MarkLogic     Published Date: Sep 29, 2017
The clock is ticking: It’s time to future proof your data for MiFID II (and future regulations). Learn how to accelerate your MiFID II Compliance--within 30 days. Download our Quick Start Guide, designed to get you up and running with the major components and related processes for MiFID II, including an approach for building a fully integrated regulatory reporting solution. In the Quick Start Guide, we’ll cover: - What our consulting service can help you accomplish in 30 days - Key factors for your success - How we work - Why financial institutions trust MarkLogic for successful MiFID II implementations • CTA Button: o Get the Quick Start Guide
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     MarkLogic
By: MarkLogic     Published Date: Aug 31, 2017
With MiFID II regulations demanding increased pre and post-trade transparency for consumers, investment banks are in a race against the clock to demonstrate compliance across a dizzying array of data sources, systems and schemas before January 2018.
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     MarkLogic
By: MarkLogic     Published Date: Aug 31, 2017
With the proliferation of IT infrastructure and the rapid rise of unstructured data, navigating the complexities of complying with the EU Regulation MiFID II can be overwhelming. But the first steps to compliance involve addressing your data management challenges head on.
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     MarkLogic
By: IBM APAC     Published Date: Aug 25, 2017
Digital technologies have altered how people and businesses interact. Digital forces have created unprecedented levels of industry dislocation and are fundamentally changing business economics. To succeed in this disruptive environment,organizations will need to offer compelling new experiences, establish new focus, build new expertise and devise new ways of working. Business leaders will face a stark choice: Either digitally reinvent their enterprises, or watch as their businesses decompose around them. Successful Digital Reinvention will involve a fundamental reimagining of how an organization operates and how it engages with its environment.
Tags : technology factors, market factors, macroeconomic, technological disruption, regulatory concerns, socioeconomic factors
     IBM APAC
By: MarkLogic     Published Date: Jun 21, 2017
Remember Y2K – the IT “problem” that should have brought businesses to a screeching half? Despite the hype, the preparation led to widely documented business benefits and uncovered new opportunities that transformed organizations worldwide. Similarly in today’s highly regulated Financial Services industry, enabling GRC by integrating data from silos can be the driver for future business use cases like machine learning and anti-fraud detection services. GRC can be your catalyst for new opportunities. Listen in as our panel of financial services experts discuss the keys to reinventing your data strategy. We’ll cover: How to align your GRC strategy with a business transformation agenda How to ensure your organization’s approach to data management isn’t just a one-off solution, but a comprehensive one adaptable to changing regulations How to navigate the increasing regulatory demands for granular data security How to turn your compliance spend into new opportunities to earn revenue
Tags : banking, financial services, data management, silos, data strategy, transparency, data governance, regulation
     MarkLogic
By: MarkLogic     Published Date: Jun 21, 2017
Global financial organizations are facing increasing demands from the business for more granularity, transparency, reporting and security. If you’re on the IT side, you know this adds a different set of ‘mores’ to the equation: More duplication, delays, and people. What’s the net-net? More cost and more risk. You can balance the scales to satisfy those demands. And it starts with thinking differently about data management. Our financial services technology experts will explore the implications of governance, risk and compliance (GRC) imperatives. You’ll learn: • Why data is at the heart of an effective and dynamic GRC strategy • Why technological capabilities used to enable standard GRC programs can reduce transparency and prevent you from gaining a holistic view of your data • A new approach to data can provide the business with complete transparency • Review a sample regulatory reporting architecture Stop burning time on tooling — and start building a dynamic GRC strategy that can
Tags : banking, financial services, data management, silos, data strategy, transparency, data governance, regulation
     MarkLogic
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