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By: IBM     Published Date: Sep 02, 2014
Life Sciences organizations need to be able to build IT infrastructures that are dynamic, scalable, easy to deploy and manage, with simplified provisioning, high performance, high utilization and able to exploit both data intensive and server intensive workloads, including Hadop MapReduce. Solutions must scale, both in terms of processing and storage, in order to better serve the institution long-term. There is a life cycle management of data, and making it useable for mainstream analyses and applications is an important aspect in system design. This presentation will describe IT requirements and how Technical Computing solutions from IBM and Platform Computing will address these challenges and deliver greater ROI and accelerated time to results for Life Sciences.
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     IBM
By: Impetus     Published Date: Mar 15, 2016
Streaming analytics platforms provide businesses a method for extracting strategic value from data-in-motion in a manner similar to how traditional analytics tools operate on data-at rest. Instead of historical analysis, the goal with streaming analytics is to enable near real-time decision making by letting companies inspect, correlate and analyze data even as it flows into applications and databases from numerous different sources. Streaming analytics allows companies to do event processing against massive volumes of data streaming into the enterprise at high velocity.
Tags : impetus, guide to stream analytics, real time streaming analytics, streaming analytics, real time analytics, big data analytics
     Impetus
By: Dell and Intel®     Published Date: Jun 18, 2015
The rapid evolution of big data technology in the past few years has changed forever the pursuit of scientific exploration and discovery. Along with traditional experiment and theory, computational modeling and simulation is a third paradigm for science. Its value lies in exploring areas of science in which physical experimentation is unfeasible and insights cannot be revealed analytically, such as in climate modeling, seismology and galaxy formation. More recently, big data has been called the “fourth paradigm" of science. Big data can be observed, in a real sense, by computers processing it and often by humans reviewing visualizations created from it. In the past, humans had to reduce the data, often using techniques of statistical sampling, to be able to make sense of it. Now, new big data processing techniques will help us make sense of it without traditional reduction
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     Dell and Intel®
By: RedPoint     Published Date: Sep 22, 2014
Enterprises can gain serious traction by taking advantage of the scalability, processing power and lower costs that Hadoop 2.0/YARN offers. YARN closes the functionality gap by opening Hadoop to mature enterprise-class data management capabilities. With a lot of data quality functionality left outside of Hadoop 1, and a lot of data inside HDFS originating outside the enterprise, the quality of the data residing in the Hadoop cluster is sometimes as stinky as elephant dung. Some of the topics discussed in this paper include: • The key features, benefits and limitations of Hadoop 1.0 • The benefit of performing data standardization, identity resolution, and master data management inside of Hadoop. • The transformative power of Hadoop 2.0 and its impact on the speed and cost of accessing, cleansing and delivering high-quality enterprise data. Download this illuminating white paper about what YARN really means to the world of big data management.
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     RedPoint
By: RedPoint     Published Date: Sep 22, 2014
The emergence of YARN for the Hadoop 2.0 platform has opened the door to new tools and applications that promise to allow more companies to reap the benefits of big data in ways never before possible with outcomes possibly never imagined. By separating the problem of cluster resource management from the data processing function, YARN offers a world beyond MapReduce: less encumbered by complex programming protocols, faster, and at a lower cost. Some of the topics discussed in this paper include: • Why is YARN important for realizing the power of Hadoop for data integration, quality and management? • Benchmark results of MapReduce vs. Pig vs. visual “data flow” design tools • The 3 key features of YARN that solve the complex problems that prohibit businesses from gaining maximum benefit from Hadoop. Download this paper to learn why the power of Hadoop 2.0 lies in enabling applications to run inside Hadoop, without the constraints of MapReduce.
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     RedPoint
By: MEMSQL     Published Date: Apr 12, 2016
The pace of data is not slowing. Applications of today are built with infinite data sets in mind. As these real-time applications become the norm, and batch processing becomes a relic of the past, digital enterprises will implement memory-optimized, distributed data systems to simplify Lambda Architectures for real-time data processing and exploration.
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     MEMSQL
By: Dell and Intel®     Published Date: Aug 24, 2015
Business need: Merkle needed a scalable, cost-effective way to capture and analyze large amounts of structured and unstructured consumer data for use in developing better marketing campaigns for clients. Solution: The company deployed a Dell and HadoopTM cluster based on Dell and Intel® technologies to support a new big data insight solution that gives clients a unified view of customer data. Benefits: [bullets for the below points] • Partnership with Dell and Intel® leads to new big data solution • Cluster supports the Foundational Marketing Platform, a new data insight solution • Merkle can find patterns in big data and create analytical models that anticipate consumer behavior • Organization cuts costs by 60 percent and boosts processing speeds by 10 times • Solution provides scalability and enables innovation
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     Dell and Intel®
By: Dell and Intel®     Published Date: Aug 24, 2015
This business-oriented white paper summarizes the wide-ranging benefits of the Hadoop platform, highlights common data processing use cases and explores examples of specific use cases in vertical industries. The information presented here draws on the collective experiences of three leaders in the use of Hadoop technologies—Dell and its partners Cloudera® and Intel®.
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     Dell and Intel®
By: Dell and Intel®     Published Date: Aug 24, 2015
To extract value from an ever-growing onslaught of data, your organization needs next-generation data management, integration, storage and processing systems that allow you to collect, manage, store and analyze data quickly, efficiently and cost-effectively. That’s the case with Dell| Cloudera® Apache™ Hadoop® solutions for big data. These solutions provide end-to-end scalable infrastructure, leveraging open source technologies, to allow you to simultaneously store and process large datasets in a distributed environment for data mining and analysis, on both structured and unstructured data, and to do it all in an affordable manner.
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     Dell and Intel®
By: Kx Systems     Published Date: Jan 16, 2015
?Kdb+ is a column-based relational database with extensive in-memory capabilities, developed and marketed by Kx Systems. Like all such products, it is especially powerful when it comes to supporting queries and analytics. However, unlike other products in this domain, kdb+ is particularly good (both in terms of performance and functionality) at processing, manipulating and analysing data (especially numeric data) in real-time, alongside the analysis of historical data. Moreover, it has extensive capabilities for supporting timeseries data. For these reasons Kx Systems has historically targeted the financial industry for trading analytics and black box trading based on real-time and historic data, as well as realtime risk assessment; applications which are particularly demanding in their performance requirements. The company has had significant success in this market with over a hundred major financial institutions and hedge funds deploying its technology. In this paper, however, we wa
Tags : kx systems, kdb+, relational database
     Kx Systems
By: snowflake     Published Date: Jun 09, 2016
Today’s data, and how that data is used, have changed dramatically in the past few years. Data now comes from everywhere—not just enterprise applications, but also websites, log files, social media, sensors, web services, and more. Organizations want to make that data available to all of their analysts as quickly as possible, not limit access to only a few highly-skilled data scientists. However, these efforts are quickly frustrated by the limitations of current data warehouse technologies. These systems simply were not built to handle the diversity of today’s data and analytics. They are based on decades-old architectures designed for a different world, a world where data was limited, users of data were few, and all processing was done in on-premises datacenters.
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     snowflake
By: Larsen & Toubro Infotech(LTI)     Published Date: Nov 07, 2019
Imprecision, inefficiency, delays in processing and an unengaged workforce can be a big problem even for a Fortune 500 Life Sciences enterprise. Here’s how our RPA-led digital transformation refreshed and rejuvenated the processes of this organisation. #DigitalTransformation #Robotics #LifeSciences #Fortune500
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     Larsen & Toubro Infotech(LTI)
By: TIBCO Software     Published Date: Jul 22, 2019
What if you could use just one platform to detect all types of major financial crimes? One platform to handle the analytical tasks of fraud detection, including: Data processing and aggregation Data visualization Statistical/mathematical/machine learning modeling Batch/real-time scoring One platform that could successfully reduce complex and time-consuming fraud investigations by combining extremely different domains of knowledge including Business, Economics, Finance, and Law. A platform that can cover payments, credit card transactions, and know your customer (KYC) processes, as well as similar use cases like anti-money laundering (AML), trade surveillance, and crimes such as insurance claims fraud. Learn more about TIBCO's comprehensive software capabilities behind tackling all these types of fraud in this in depth whitepaper.
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     TIBCO Software
By: TIBCO Software     Published Date: Jul 22, 2019
TIBCO® Connected Intelligence for Smart Factory Insights By processing real-time data from machine sensors using artificial intelligence and machine learning, it's possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield.
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     TIBCO Software
By: SDL     Published Date: Sep 20, 2019
Every commercial organization wants to grow. THrough its unlimited processing power Artificial Intelligence (AI) has the power to make that growth a reality. However, established workflows and processes often hamper the application of true AI, so how do organizations get started on digital transformation without disrupting their existing operations? Intelligent content holds the key to digital transformation. But what do we mean by intelligent content? How does it all aid digital transformation? How do you take your first steps forward for building an intelligent formation for AI? What are the misconceptions around AI-led transformations? This paper provides you with the answers.
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     SDL
By: SDL     Published Date: Sep 20, 2019
Component Content Management: A New Paradigm in Intelligent Content Services While technology has changed the world, the way that companies manage information has inherently stayed the same. The advent of near-ubiquitous connectivity among applications and machines has resulted in a data deluge that will fundamentally alter the landscape of content management. From mobile devices to intelligent machines, the volume and sophistication of data have surpassed the ability of humans to manage it with outdated methods of collection, processing, storage, and analysis. The opportunity afforded by the advent of artificial intelligence (AI) has stimulated the market to search for a better way to capture, classify, and analyze this data in its journey to digital transformation (DX). The paradigm of document-based information management has proven to be a challenge in finding, reusing, protecting, and extracting value from data in real time. Legacy systems may struggle with fragmented information
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     SDL
By: Flexential     Published Date: Jul 17, 2019
By 2020, there will be 50 billion devices producing 600Zb of data, driving enterprises to assess their IT infrastructures to keep pace with unprecedented data processing demands. Is your business ready to handle this data explosion? In this on-demand webinar, you’ll hear Tim Parker, Vice President of Network Services at Flexential, and Craig Matsumoto, Senior Analyst of Data Center Services at 451 Research, discuss the evolution of data – and how enterprises are processing and creating it. Download now to hear Parker and Matsumoto examine how edge computing solutions are meeting the latency demands of an increasingly digitized world.
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     Flexential
By: CheckMarx     Published Date: Sep 12, 2019
Financial services organizations operate under a host of regulatory standards. This makes sense, as the assets and information managed by these firms are valuable, sensitive, and targeted by sophisticated cyber attackers daily. Compounding these challenges is the large volume of personally identifiable information (PII) that financial organizations handle regularly. PII is subject to many compliance regulations, notably the General Data Protection Regulation (GDPR), which regulates not only the processing of personal data, including PII, relating to individuals in the EU, for also any organization that processes personal data of EU residents. For US banking consumers, Section 5 (Unfair or Deceptive Acts or Practices) of the Federal Trade Commission Act and numerous state regulations enforce basic consumer protections, which financial organizations must also uphold.
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     CheckMarx
By: AppZen     Published Date: Oct 21, 2019
Is your business falling prey to invoice fraud schemes? Download this whitepaper to learn -what to look out for when processing invoices -the best practice of examining thousands of bills that come through the door every month
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     AppZen
By: Medius     Published Date: Oct 01, 2019
AP automation is often described as low hanging fruit in the garden of digital transformation. And for a good reason – the barrier to entry is impressively low in terms of both cost and effort needed to get up and running, particularly in comparison to the implementation projects for other business applications. Despite that fact, the value provided from AP automation is comparably high. For such an easy implementation, the benefits reach throughout an organization, beyond the walls of the AP department, and are near-immediate from day one of using the solution. Standard benefits include: - Immediate value from day one with an expected ROI within the first year - Up to 95% truly touchless invoice processing with access to real-time cloud data for benchmarking and reporting - Easy access to financial data, such as cash flow & accrual reporting, with full visibility and control of the AP process This guide will help you kick-start your AP automation project by defining the 6 steps to build a solid business case and gain the internal approvals needed to get started.
Tags : ap automation, invoice processing, invoice automation, accounts payable automation, accounting software, accounting automation, microsoft dynamics automation
     Medius
By: Medius     Published Date: Oct 01, 2019
Marc Jacobs has been able to redirect employees from the considerable time spent maintaining spreadsheets and managing AP information. In just four months after deploying MediusFlow, the company was able to justify the investment. One year from deployment, it expects to have made $150,000 in productivity gains. By modernizing its solution for invoice processing, Marc Jacobs can easily manage its complex supply chain and get back to the creative work of designing and delivering next season’s collection.
Tags : ap automation, invoice processing, invoice automation, accounts payable automation, accounting software, accounting automation, microsoft dynamics automation
     Medius
By: Medius     Published Date: Oct 01, 2019
Only a best-of-breed AP automation solution can offer the high levels of fully automated, touchless, invoice processing that your organization needs to scale your business operations.MediusFlow is the leading cloudbased solution for Dynamics users that automates the entire accounts payable process, enabling increased efficiency, touchless invoice processing as well as better financial visibility and control. This guide will help you understand... • What AP automation is • The different options available • What to consider when selecting a solution • How to evaluate solutions
Tags : ap automation, invoice processing, invoice automation, accounts payable automation, accounting software, accounting automation, microsoft dynamics automation
     Medius
By: NEC     Published Date: Sep 29, 2009
Written by: IDC Abner Germanow, Jonathan Edwards, Lee Doyle IDC believes the convergence of communications and mainstream IT architectures will drive significant innovation in business processes over the next decade.
Tags : it architecture, idc, automation, automated order processing, soa, service oriented architecture, soap, http
     NEC
By: Genesys     Published Date: Dec 20, 2018
Companies across the world are innovating with artificial intelligence (AI) to improve customer experience and forge deeper relationships with customers. Through surveys and interviews with 599 executives, from large and mid-sized companies across the globe, this MIT report reveals that most customer-centric firms have already deployed AI extensively in their customer-facing operations and customer experience management processes. Get the global report and regional spotlights on North America, Latin America, Europe and Asia to access complete results. Key insights include: • Nearly 90% of respondents report measurable improvements in the speed of complaint resolution; 80% note enhanced call volume processing using AI • 80% of respondents report measurable improvements in customer satisfaction, service delivery and contact center performance • In North America, 60% of the respondents believe they will deliver a 10% or more increase in customer lifetime value in the next year • Europe
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     Genesys
By: Submittable     Published Date: Nov 06, 2019
Submission management software empowers organizations to utilize one platform for all their application and review needs. No matter the department, from marketing to development, it provides distinct advantages to teams collecting and processing any type of application. Today, users expect a smooth, intuitive submission experience, making it imperative for organizations to provide a streamlined process. All relevant parties should have the ability to submit the proper documents or materials, and all reviewers should be able to see applications in an organized and succinct manner. Choosing the right applicant is faster and easier if you have a strong, clear review process and the tools for reviewers to communicate with each other. When your reviewers are in order, you know your applicants are in good hands and the best submissions will be found. In this eBook you’ll learn how to: - Set up an excellent review team - Run an efficient review process - Effectively communicate with appl
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     Submittable
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