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Automate Migration to the Cloud with mLogica and AWS

Published By: AWS     Published Date: Jul 25, 2019
What you'll learn in this webinar: Simplify the move from legacy commercial databases or niche database solutions to Amazon Web Services (AWS) with help from experts in database migration and automation software solutions from mLogica. Watch our webinar to hear how you can transform your legacy environment to an AWS cloud-native infrastructure by migrating to Amazon Aurora. Using mLogica’s fully automated, self-learning mLogica Database Migration Studio, and consultancy service, you can modernize your databases and applications without disrupting your daily operations. Join our webinar to learn how: mLogica helped TicketSocket unify and simplify its data and gain efficiencies of cost and scale You can move enterprise, mission-critical complex databases to AWS You can break free of commercial licensing obligations
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AWS

A CIO’s guide to building a bank that thrives on change

Published By: IBM APAC     Published Date: Sep 30, 2019
Digital technology is changing the financial services industry rapidly with automated process, AI insights, customized experiences, new operating models and next generation applications. In such a scenario how should banks innovate and stay ahead of the game? This e-book will provide you the best strategies and recommendations for modernizing your IT infrastructure and operations. You’ll learn how to lead disruption and manage rapid change for your bank, its operations and its customers. Here are the five key takeaways: • Personalize customer experiences by maximizing your data • Borrow strategies from open banking and new business models • Step up your security game • Drive innovation from the inside out • Design an agile infrastructure to support participation in new digital marketplaces Find out more in the e-book.
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IBM APAC

A CIO’s guide to building a bank that thrives on change

Published By: Group M_IBM Q2'19     Published Date: Apr 04, 2019
It’s probably no surprise to you that the financial services industry is changing rapidly. Digital technology is redefining the possibilities with automated processes, AI insights, customized experiences, new operating models and next-generation applications — yet global industry profits are stagnating. As the number of disruptors in the space rises, many banks are being asked to innovate while lowering structural costs and improving capital returns — and many traditional banks are falling behind.
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Group M_IBM Q2'19

A Guide to Disaster Recovery in the Cloud

Published By: VMware, Inc     Published Date: Oct 28, 2014
For organizations with disaster recovery services in place, the challenge often lies in supporting the ongoing maintenance and re-evaluating the initial investment versus newer offerings as their environment continues to expand, or leases expire. Fortunately, the landscape of disaster recovery solutions is shifting to accommodate changing IT needs. VMware vCloud® Air™ Disaster Recovery provides simple, affordable, automated processes for replicating and recovering critical applications and data — at a fraction of the cost of duplicating infrastructure or maintaining additional data centers. Organizations can afford to scale their efforts as needed, with flexible terms and resource options.
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cloud, disaster recovery, infrastructure, automated processes, replication, networking, data center
    
VMware, Inc

Automating IT Analytics to Optimize Service Delivery Cost at Safeway

Published By: TeamQuest     Published Date: Sep 05, 2014
TeamQuest Director of Market Development Dave Wagner and Chris Lynn, Safeway's Capacity Manager and Performance Analyst, cover the application of automatic, exception-oriented analytics to a wide variety of IT and business metrics in order to simultaneously optimize service performance and IT cost. Multiple conceptual approaches are shared, including pros and cons. Most of the presentation includes real examples by which Safeway has integrated performance, capacity, business, and power data into an automated optimization process spanning 1000s of servers and virtual servers and their applications.
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automated analytics, automated optimization, it cost, power data, application performance management, business intelligence, business process automation, productivity, service management
    
TeamQuest

Automized Storage for z/OS

Published By: CA Mainframe     Published Date: Sep 12, 2008
The CA Automated Storage Optimization Mainframe Suite provides a best-practices-based and intelligent approach to SRM, delivering the tools to identify and classify your storage assets. Access this Technology Brief to understand how to maximize use of existing storage resources and ensures protection of business-critical applications and information.
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srm, storage resource management, zos, z/os, ibm, ibm server, ca mainframe, mainframe, ibm mainframe, storage optimization, mainframe storage, networking, platforms, storage, storage management
    
CA Mainframe

Best Practices in AP Automation

Published By: Esker     Published Date: Dec 08, 2014
Is your company looking to gain the efficiencies and savings of automated accounts payable processing? Find out how you can: • Quickly deploy one easy, web-based AP workflow solution for all users and systems • Ensure a continuous invoice audit trail • Simplify shared services setup In this white paper, you'll learn important cost and risk factors to consider with AP tools installed inside ERP applications — especially if you have multiple ERP instances or a mix of different enterprise applications. Download the white paper to learn more!
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automation, best practices, ap workflow, cost, erp system, data recognition, applications, invoicing, enterprise applications, electronics
    
Esker

Change Agent: RPA Causing Organizations to Rethink Business Workflow

Published By: BlackLine     Published Date: Apr 10, 2017
For many, the idea of Robotic Process Automation (RPA) might conjure images of large automated assembly line welders and pickers. But RPA actually refers to software robots, or applications that replicate human interaction with a user interface on a computer system. Download now to learn more!
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BlackLine

Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices

Published By: CA Technologies EMEA     Published Date: Sep 30, 2018
If you’re relying on manual processes for testing applications, artificial and automated intelligence (AI) and machine learning (ML) can help you build more efficient continuous frameworks for quality delivery. In this on-demand webinar, “Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices,” you’ll learn how to: Use AI and ML as the new, necessary approach for testing intelligent applications. Strategically apply AI and ML to your testing practices. Identify the tangible benefits of continuous intelligent testing. Reduce risk while driving test efficiency and improvement. This webinar offers practical steps to applying AI and ML to your app testing. The speaker, Jeff Scheaffer, is senior vice president and general manager of the Continuous Delivery Business Unit at CA Technologies. His specialties include DevOps, Mobility, Software as a Service (SaaS) and Continuous Delivery (CDCI).
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continuous delivery, application delivery, testing, test data management
    
CA Technologies EMEA

Customer Centricity: The Key to Success in Retail Banking

Published By: Kofax     Published Date: Sep 08, 2011
See how some retail banks have redirected their focus to a more customer -centric approach. This whitepaper includes success stories from Banco Inversis and GMAC Commercial Mortgage Corporation (now Ally Financial) which highlight how Kofax has helped them maintain and even increase their competitive edge.
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kofax ktm, transformation modules, capture, vrs, scan to process, enterprise capture, customer-centric, automated document classification, metadata extraction, new account applications, mfps, loan and mortgage processing, sap, funds processing, credit card application processing, swift format, icr, ocr, omr, automatically index
    
Kofax

Designing the Next Generation Data Center

Published By: SolidFire_NetApp     Published Date: Oct 10, 2016
This paper introduces five architectural principles guiding the development of the next generation data center (NGDC). It describes key market influences leading a fundamental enterprise IT transformation and the technological trends that support it. The five principles are: scale-out, guaranteed performance, automated management, data assurance, and global efficiencies. Cloud infrastructure delivery models such as IaaS, private clouds, and software-defined data centers (SDDC) are foundations for the NGDC. In an era where IT is expected to ensure productiongrade support with a plethoric flow of new applications and data, these models demonstrate how to eliminate bottlenecks, increase self-service, and move the business forward. The NGDC applies a software-defined everything (SDx) discipline in a traditional, hardware-centric business to gain business advantage.
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SolidFire_NetApp

Enterprise Capture: Enabling Customer Service Improvement, Cost Cutting, and Compliance for Financia

Published By: Kofax     Published Date: Sep 08, 2011
This whitepaper will review how business processes are more efficient in an electronic data environment. Enterprise Capture enables customer service improvement, cost cutting, and compliance for financial institutions such as Flagstar and Randolph Brooks Federal Credit Union (RBFCU).
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kofax ktm, transformation modules, capture, vrs, scan to process, enterprise capture, customer-centric, automated document classification, metadata extraction, new account applications, mfps, loan and mortgage processing, sap, funds processing, credit card application processing, swift format, icr, ocr, omr, automatically index
    
Kofax

Halving Downtime Costs for Mission Critical Apps

Published By: Oracle     Published Date: Aug 09, 2018
The purpose of IT backup and recovery systems is to avoid data loss and recover quickly, thereby minimizing downtime costs. Traditional storage-centric data protection architectures such as Purpose Built Backup Appliances (PBBAs), and the conventional backup and restore processing supporting them, are prone to failure on recovery. This is because the processes, both automated and manual, are too numerous, too complex, and too difficult to test adequately. In turn this leads to unacceptable levels of failure for today’s mission critical applications, and a poor foundation for digital transformation initiatives. Governments are taking notice. Heightened regulatory compliance requirements have implications for data recovery processes and are an unwelcome but timely catalyst for companies to get their recovery houses in order. Onerous malware, such as ransomware and other cyber attacks increase the imperative for organizations to have highly granular recovery mechanisms in place that allow
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Oracle

IBM Power Systems and Their Support for Business Resiliency in Challenging IT Environments

Published By: IBM     Published Date: Oct 01, 2012
IBM Power Systems provide a comprehensive approach designed to protect the continuity and availability of business-critical applications and services. Deploying integrated disaster recovery allows companies to deliver new services faster, with higher
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disaster recovery, backup and recovery, ibm power systems, automated virtualization management, virtualization, downtime, mission-critical applications, servers, storage virtualization, business technology
    
IBM

Is Your Testing Stuck in a Holding Pattern?

Published By: CA Technologies EMEA     Published Date: Sep 07, 2018
If you’re relying on manual processes for testing applications, artificial and automated intelligence (AI) and machine learning (ML) can help you build more efficient continuous frameworks for quality delivery. In this on-demand webinar, “Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices,” you’ll learn how to: Use AI and ML as the new, necessary approach for testing intelligent applications. Strategically apply AI and ML to your testing practices. Identify the tangible benefits of continuous intelligent testing. Reduce risk while driving test efficiency and improvement. This webinar offers practical steps to applying AI and ML to your app testing. The speaker, Jeff Scheaffer, is senior vice president and general manager of the Continuous Delivery Business Unit at CA Technologies. His specialties include DevOps, Mobility, Software as a Service (SaaS) and Continuous Delivery (CDCI).
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CA Technologies EMEA

Leveraging Managed Service to Automate Security Assessment

Published By: Cenzic     Published Date: Nov 29, 2006
With web applications constantly evolving, finding vulnerabilities is a challenging, costly and time-consuming undertaking.  The solution is automated security assessment products that leverage stateful processing to comprehensively examine web applications and reveal vulnerabilities in hours rather than weeks.  Find out how Cenzic's ClickToSecure solution can help you secure your applications.
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compiance, internet application security, it spending, application security, vulnerability management, identity management, security assessment, security audit, web security, cenzic, security, it management, compliance, hacker detection, internet security, security management, security policies, web service security, application integration, best practices
    
Cenzic

Map-based Lane Keeping with HERE HD Live Map

Published By: HERE Technologies     Published Date: Sep 26, 2019
There are many challenging tasks when developing autonomous driving features to cope with the various changes to the environment. Often lane markings are faded or are covered with snow or dirt and can be difficult for a camera-based detection system. In this report, VSI addresses the application of HD map assets to improve the safety and performance of automated vehicle features within the context of lane keeping and trajectories. VSI has been examining applications of HD maps in our test vehicle. In a previous report, we discussed map-based Adaptive Cruise Control (ACC) using the advised speed attributes from HERE’s HD map data. In this report, we apply HERE’s HD map data to a lane keeping application and examine performance of lane keeping with a map-based approach compared to a camera and computer vision-based approach.
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HERE Technologies

ODM for Dummies

Published By: IBM     Published Date: Sep 11, 2017
This book is written for readers who have varying levels of familiarity with ODM. It doesn’t focus on any particular vendor’s offering; instead, it talks about the features of ODM as a model for managing operational decision-making. This book isn’t about offline business intelligence systems. While those systems are very valuable, the focus of this book is on automated decisions that can be executed in real time in conjunction with your business applications and processes.
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odm, management, operation-decision making, intelligence systems
    
IBM

Operationalizing and Embedding Analytics for Action

Published By: SAS     Published Date: Aug 03, 2016
As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions. These systems might be automated or provide manual, actionable insights. Analytics are currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex and organizations are at different stages of operational deployment.
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best practices, embedding analytics, technology, data, operational analytics, business analytics, business management, business technology
    
SAS

Ovum Decision Matrix: Selecting a Privileged Identity Management Solution, 2015–2016 Publication Dat

Published By: CA Technologies     Published Date: Jun 01, 2018
Within any organization, the most dangerous users are those with privileged access to the company’s most valuable and sensitive data assets. This includes systems administrators, business managers, partners, suppliers, and service providers, and also takes into account the automated interactions between business machines, systems, and applications. Privileged access has always been a high-risk issue, but for too long, organizations have not understood or have chosen to ignore the risks, preferring instead to rely on the integrity of the individuals and systems involved. A number of high-profile security breaches over the last two years have highlighted the damage that a rogue systems administrator or stolen privileged credentials can cause. Today, fewer than half of all business organizations have deployed the type of privileged identity management (PIM) solution that could help improve the situation. This Ovum Decision Matrix (ODM) provides an in-depth view of the leading PIM solution
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CA Technologies

Red Hat Process Automation Manager

Published By: Red Hat     Published Date: Aug 22, 2018
Digital transformation projects present many technological and organizational challenges. A key challenge is developing modern, cloud-native applications that connect customers directly using automated business processes and decisions. Creating these applications requires a radical change in how software is built—moving away from traditional, IT-led software development to a process that lets both developers and business experts contribute directly to application logic.
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Red Hat

Rigorously Test Composite Applications Faster With CA Test Data Manager

Published By: CA Technologies EMEA     Published Date: Aug 07, 2017
Generate rich virtual data that covers the full range of possible scenarios and provide the unconstrained access to environments needed to deliver rigorously tested applications on time and within budget. Model complex live system data and apply automated rule-learning algorithms to pay off technical debt and uncover in depth understanding of composite applications, while exposing virtual data to distributed teams on demand and avoiding testing bottlenecks.
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virtual services, data, avoid project delays, ca technologies, continuous testing, testing effort, service virtualisation, delivery ecosystem
    
CA Technologies EMEA

Statistics and Machine Learning at Scale: New Technologies Apply Machine Learning to Big Data

Published By: SAS     Published Date: Mar 06, 2018
Imagine getting into your car and saying, “Take me to work,” and then enjoying an automated drive as you read the morning news. We are getting very close to that kind of scenario, and companies like Ford expect to have production vehicles in the latter part of 2020. Driverless cars are just one popular example of machine learning. It’s also used in countless applications such as predicting fraud, identifying terrorists, recommending the right products to customers at the right time, and correctly identifying medical symptoms to prescribe appropriate treatments. The concept of machine learning has been around for decades. What’s new is that it can now be applied to huge quantities of data. Cheaper data storage, distributed processing, more powerful computers and new analytical opportunities have dramatically increased interest in machine learning systems. Other reasons for the increased momentum include: maturing capabilities with methods and algorithms refactored to run in memory; the
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SAS

TDWI Best Practices Report: Operationalizing and Embedding Analytics for Action

Published By: SAS     Published Date: Jan 04, 2019
As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions. These systems might be automated or provide manual, actionable insights. Analytics are currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex and organizations are at different stages of operational deployment. Newer examples of operational analytics include support for logistics, customer call centers, fraud detection, and recommendation engines to name just a few. Embedding analytics is certainly not new but has been gaining more attention recently as data volumes and the freq
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SAS
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