This Executive White Paper, sponsored by Pitney Bowes Marketing Solutions, a provider of web-based marketing automation solutions, examines the competitive advantages offered by marketing automation portals and the potential impact of these types of portals on marketing campaigns deployed in complex, rapidly evolving markets.
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.
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
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
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.
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).
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.
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.
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.
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.
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).
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.
The Kofax enterprise capture platform offers unmatched scalability from centralized to highly distributed environments, from individual desktops to enterprise deployments and from basic archival scanning to powerful document classification and separation and data extraction. The company's market leading technology supports a wide variety of input devices and line of business applications, providing a strong enterprise-wide platform on which to standardize document driven processes.
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.
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.
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
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
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
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!
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
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.
TrueUpdate 2.0 is a comprehensive solution for software developers, network administrators and IT departments wanting to integrate automated update capabilities into their software applications and business processes. Read through a comprehensive list of features, and learn about the system requirements of TrueUpdate 2.0.
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.
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!
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