Mainframes continue to provide high business value by combining efficient transaction processing with high-volume access to critical enterprise data. Business organizations are linking mobile devices to mainframe processing and data to support digital applications and drive business transformation. In this rapidly growing scenario, the importance of providing excellent end-user experience becomes critical for business success.This analyst announcement note covers how CA Technologies is addressing the need for providing high availability and a fast response time by optimizing mainframe performance with new machine learning and analytics capabilities.
Privileged user accounts—whether usurped, abused or simply misused—are at the heart of most data
breaches. Security teams are increasingly evaluating comprehensive privileged access management (PAM)
solutions to avoid the damage that could be caused by a rogue user with elevated privileges, or a privileged
user who is tired, stressed or simply makes a mistake. Pressure from executives and audit teams to reduce
business exposure reinforces their effort, but comprehensive PAM solutions can incur hidden costs,
depending on the implementation strategy adopted. With multiple capabilities including password vaults,
session management and monitoring, and often user behavior analytics and threat intelligence, the way a
PAM solution is implemented can have a major impact on the cost and the benefits. This report provides a
blueprint for determining the direct, indirect and hidden costs of a PAM deployment over time.
What this case study reveals is that, with the right leadership, it is possible to turn a company around and make it far more responsive and relevant to its customers, and as a result deliver growth and profits.
The upshot of D+M's cultural and business transformation has been a return to growth and profitability. The entire enterprise has played its part, which is why the annual Chairman's Award has recognized individuals who have lived the winning cultural values and achieved excellence in performance. Winners have included factory workers and services people. The firm also continues to innovate with HEOS WMS capabilities extending to the other brands. Customer experience continues to be an area of deep cross-functional focus, and feedback from customers provides a clear indication that the customer experience throughout their buying and ownership journeys is rated highly.
The popularity of integration platform as a service (iPaaS) started with business users looking to gain control and share data among their proliferating SaaS apps?without needing IT intervention.
iPaaS was then adopted by IT to support business users to ensure security measures were being maintained and to provide more of a self-service environment. Now, iPaaS has evolved from a niche solution to taking a much bigger role:
Read this whitepaper to learn about:
Drivers for cloud integration
Five emerging uses cases for iPaaS that enable better responsiveness, APIs, event-driven capabilities, human workflows, and data analysis
Questions to ask when evaluating your current solution
Despite being knowledgeable about their industry and experienced in running their organizations, the majority of business users lack expertise in analytics and visualization techniques—but that doesn't stop them from wanting to have a go. But making tools easier and more widely accessible is only part of the answer. A better approach is to work both sides of the gap. To make tools that can empower business users to discover and unlock value in their data—and that extend capabilities for experts, so they can share the analytics workload, improve efficiency, and focus on higher level work.
IT organizations are now responsible for delivering seamless customer experiences while preventing outages and managing an increasing number of systems. With growing responsibility placed on IT, there is an opportunity to drive strategy for company-wide business processes and operations.
Companies using machine data powered platforms like Splunk collect disparate data types to quickly troubleshoot and monitor systems. By adding predictive capabilities, IT can glean critical insights for the business and develop strategic initiatives on issues that matter.
Download the white paper “Embracing the Strategic Opportunity of IT” to learn how to:
Enable a business aware IT organization
Unlock operational efficiencies
Solve problems with predictive analytics
The world of artificial intelligence (AI) has finally arrived at the doorstep of IT operations. As organizations move toward using both big data and machine learning functionality to support a variety of IT operations, processes and tasks, artificial intelligence for IT operations (AIOps) platforms have emerged as a one-stop solution.
Gartner has released a “Market Guide for AIOps Platforms” that provides findings about the AIOps industry and its latest developments.
Download your complimentary copy to:
*Gain insight into the developing industry of AIOps and its future
*Learn how to optimize IT operations powered by machine learning to drive business value
*Compare different AIOps platform vendors and their range of capabilities
Artifi cial intelligence is becoming a key component of business transformation. Virtually any business leader seeking to unlock value and develop new capabilities using technology is at some stage of the AI journey. For example, those at the leading edge have incorporated machine learning insights into business processes and are building functionality such as natural language processing and preventative maintenance diagnostics into their products. Others are experimenting with pilot projects or developing plans to get started.
Robotic process automation (RPA) has emerged as a hugely popular business-IT priority – and with good reason. RPA platforms grow more and more sophisticated by the day, opening up fresh automation opportunities throughout the enterprise and business.
But RPA platforms generally aren’t a one-size-fits-all investment.
In this market guide, find out how the top RPA vendors stack up against one another on key investment criteria, including ideal use cases, unique RPA capabilities, and more.
Ask the average business user what they know about Business Intelligence (BI)
and data analytics, and most will claim to understand the concepts. Few, however,
will profess to know how analytics works or to have the skills needed to put it
into practice. Despite being knowledgeable about their industry and experienced
in running their organizations, the majority of business users lack expertise in
analytics and visualization techniques—but that doesn’t stop them from wanting
to have a go.
This situation has led to ease of use and accessibility becoming the main focus
for recent updates from all the leading BI vendors—but making tools easier and
more widely accessible is only part of the answer.
A better approach is to work both sides of the gap. To make tools that can
empower business users to discover and unlock value in their data—and that
extend capabilities for experts, so they can share the analytics workload, improve
efficiency, and focus on higher level work.
Published By: Rackspace
Published Date: Mar 07, 2019
Having on boarded numerous businesses onto the AWS platform, Rackspace found three best practices to be routinely missing from its customers’ architectural designs. These best practices for automation, scaling and segmentation, utilize capabilities inherent on the AWS platform to help drive an easier deployment.
Published By: Rackspace
Published Date: Apr 02, 2019
Traditional retailers seeking to digitalize their brand connections to customers, do so with Eagle Eye AIR, a SaaS platform for creating intelligent, real-time digital and mobile solutions for promotions, loyalty programs, rewards and more.
With rapid business growth, the volumes of transactions processed per second are constantly being rewritten – yet, its customers’ transactional throughput keeps running smoothly – which is all thanks to the successful migration of its dedicated infrastructure to Google Cloud Platform (GCP).
Being a longstanding customer of Rackspace, Eagle Eye trusted the Rackspace Managed Services team in providing expert guidance for every stage of its migration project – which is part of a bigger exercise to transform its technical capabilities.
The business models of Aerospace and Defense manufacturers often derive revenue from a number of sources including aircraft and completions as well as aftermarket business. The shop floor affects two of these key sources of revenue. In order to grow the business organically, while maintaining margins, the enterprise needs to deliver more, through the implementation of unprecedented levels of flexible production.
Download this white paper to find out how the unique capabilities of DELMIA make it possible to manage change along the value stream, from engineering design to shop-floor work instructions.
Challenge: Ensure that technology infrastructure will support business transformation, new growth and services.
Solution: Implement highly automated converged infrastructure and managed cloud services from Hitachi Vantara.
Outcomes: Use new capabilities to integrate acquired companies, deploy next-generation security and speed time to the market.
Consumer industries are facing once in a lifetime changes in the way they engage and interact with their customers and consumers. Whether consumer products, retail, or wholesale, there are two broadly unifying trends. First, consumers have both heightened influence and increased expectations. Second, several largely untapped digital technologies have the potential to enable new capabilities to better satisfy customer needs. For the key consumer industries of agribusiness, consumer products, life sciences, retail, and wholesale, the Internet of Things (IoT) will enable many new opportunities. These industries have a shared goal and challenge: to be able to create and offer engaging end consumer and/or customer experiences at scale. Part of the way that companies will achieve this goal and respond to this challenge is by developing digital transformation (DX) strategies. Such strategies enable new and potentially disruptive capabilities with a broad range of technologies.
The confluence of AI and Industry 4.0 is transforming image processing. As image vision becomes widespread, there is an increasing need to transition stand-alone imaging to an integrated driver of automation feeding insights back into the business systems that monitor overall factory performance.
Download the whitepaper to learn more about fitting multiple demands into a single platform—
• Building an industrial system with advanced functions like machine vision and Industry 4.0 connectivity
• Minimizing the footprint of the systems to save space, cost and power consumption
• Adhering to principles of long life, safety, reliability, real-time control functionality alongside AI and IIOT capabilities
Published By: Genesys
Published Date: Nov 17, 2017
This eBook focuses on two profiles for small contact centers, small business and small of large - a small contact center that is part of a much larger enterprise. Get key insights from independent market research that will help you make a case to take your customer communications platform to the cloud. With the right solution, your business can benefit from enterprise-quality capabilities at a price you can afford. And you can realize a return on investment in as little as three months!
Published By: Lookout
Published Date: Aug 30, 2017
Mobility is exploding. Workers and businesses fully
expect to work anywhere, any time, from any device.
Riding right alongside this growth is the amount of data
created and consumed on mobile devices. While this
presents organizations with an attractive means of
empowering flexibility and productivity, the security risks
are real and daunting.
Unfortunately, while enterprise mobility management
tools can provide valuable administrative capabilities
and protect the organization from phone loss, accidental
data loss or weak passwords, they lack the necessary
visibility into today’s modern security risks, including
malware and other device-centric attacks
Published By: IBM APAC
Published Date: May 14, 2019
Digital transformation (DX) continues to headline business initiatives as companies look to remain competitive in the rapidly changing IT landscape. Organizations are increasingly investing in and implementing next-generation applications and architectures such as software-defined IT and hybrid IT to drive higher levels of efficiency and agility. These modern technologies and architectures, however, also require organizations to evolve their underlying infrastructure to support new capabilities and demands.
Recent strength in the server market, which continues to operate in a marketwide refresh cycle, illustrates the growing demand for new infrastructure. 1Q18 marked the server market's fifth consecutive quarter of both shipment and revenue growth and represented a fourth consecutive quarter of year-on-year ASP growth, as customers continue to replace aging server infrastructure with more powerful and efficient systems that leverage the latest platform developments from processor supp
Project management relies primarily on past performance to predict future results, however many companies still lack forward-looking capabilities to predict project outcomes and ensure success. Enhancing project management with PLM analytics offers the opportunity to switch from task-based activities to performance-driven ones to improve success rates.
Use PLM Analytics to:
• Gain actionable insight and valuable intelligence
• Dramatically boost business value and improve project management performance
• Reduce error-prone behavior like manual data collection
• Leverage big-data capabilities and project intelligence
Learn how to extend the value of your PLM investment and improve business performance for your company.
This whitepaper reveals how Infor Dynamic Enterprise Performance Management (Infor d/EPM) offers intelligent business and financial performance management capabilities, so you can drive your overall business performance more effectively.
Published By: Teradata
Published Date: May 02, 2017
Kylo overcomes common challenges of capturing and processing big data. It lets businesses easily configure and monitor data flows in and through the data lake so users have constant access to high-quality data. It also enhances data profiling while offering self-service and data wrangling capabilities.
DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
Our portfolio of live events, online and print publishing, business intelligence and professional development brands are centred on the complexities of technology convergence. Operating in 42 different countries, we have developed a unique global knowledge and networking platform, which is trusted by over 30,000 ICT, engineering and technology professionals.
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