Successful order management systems are unique in their ability to create brand loyalty and generate new revenue streams. When executed correctly, they demonstrate a unified commerce approach for sellers that spans all points along a customer’s purchasing lifecycle. Intelligent fulfillment is also essential to organizations selling complex configurable offerings, due to assembly and fulfillment workflows that may span multiple facilities and planning systems.
Webinar: Utilities are facing incredible challenges today driven by flattening demand, aging infrastructure, knowledge gaps, and challenging customer satisfaction requirements. Watch this webinar to learn how IBM Maximo for Energy & Utilities can help.
Organizations that create and deliver software — whether for their own IT operations, for the packaged applications market, or as the core of their final product, as in the systems space — must grapple not only with today’s competitive landscape, but also with increased complexity in their processes and supply chains. Many factors serve to complicate software delivery, but differentiation lies at the heart of managing this complexity. This smartpaper explores how effective quality management creates opportunities to deliver key business benefits, such as improved market share, higher customer satisfaction, and increased brand equity.
Today’s software and systems engineers are being challenged to balance speed of delivery with improving quality, reducing cost and minimizing risk. Managing changes to code and configurations through development, staging, user acceptance and production environments can be challenging. Having more “production-like” environments that can be controlled and serviced by the development team can add value, eliminate waste and speed delivery. Creating such environments can eliminate risk because more errors can be found well ahead of production deployment when they are less costly to fix. IBM can help you adopt agile methods improve your execution and deliver high-quality software for better business results
Today's automotive engineers are faced with rising product complexity and the need to innovate their methods in order to remain competitive. This infographic will help to paint a picture of the impact of rising complexity on the auto industry and provide a roadmap for embracing digital transformation.
Which of your applications should move to the cloud? Is public, private, or hybrid cloud the right choice? And should you use containers, or Platform-as-a-Service technologies? Whether you’re trying to optimize your existing landscape, strengthen your foundation, or innovate with newer technologies that are delivered via cloud platforms, you need to know where to start. In this webcast, hear how IBM helped The Tribune Publishing Company build an effective plan to accelerate their digital transformation. Learn how IBM can also help you analyze your full portfolio, identify opportunities to optimize and automate your infrastructure and determine which applications to move, and the potential business value.
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
In the last few years we have seen a rapid evolution of data. The need to embrace the growing volume, velocity and variety of data from new technologies such as Artificial Intelligence (AI) and Internet of Things (IoT) has been accelerated.
The ability to explore, store, and manage your data and therefore drive new levels of analytics and decision-making can make the difference between being an industry leader and being left behind by the competition. The solution you choose must be able to:
• Harness exponential data growth as well as semistructured and unstructured data
• Aggregate disparate data across your organization, whether on-premises or in the cloud
• Support the analytics needs of your data scientists, line of business owners and developers
• Minimize difficulties in developing and deploying even the most advanced analytics workloads
• Provide the flexibility and elasticity of a cloud option but be housed in your data center for optimal security and compliance
With the increasing complexity and volume of cyberattacks, organizations must have the capacity to adapt quickly and confidently under changing conditions. Accelerating incident response times to safeguard the organization's infrastructure and data is paramount. Achieving this requires a thoughtful plan- one that addresses the security ecosystem, incorporates security orchestration and automation, and provides adaptive workflows to empower the security analysts.
In the white paper ""Six Steps for Building a Robust Incident Response Function"" IBM Resilient provides a framework for security teams to build a strong incident response program and deliver organization-wide coordination and optimizations to accomplish these goals.
With the increasing complexity and volume of cyberattacks, organizations must have the capacity to adapt quickly and confidently under changing conditions.
The Securosis report on “The Future of Security Operations” explains how security orchestration and automation can help security teams address the skills shortage, alert overload, and increasingly sophisticated cyberattacks.
The “Future of Identity” infographic provides highlights and surprising statistics from the "Future of Identity" study that revealed global and generational preferences and concerns on emergent sign-on methods. 3,997 respondents from the United States, European Union, and Asia Pacific regions weighed in.
For the third consecutive year, Gartner has named IBM a Leader in the 2019 Gartner Magic Quadrant for Access Management. We believe that IBM’s global reach, commitment to innovation, and extensive integrations for access management helped us earn this recognition. Register now to get your complimentary copy of the report.
IBM LinuxONE™ is an enterprise Linux server
engineered to deliver cloud services that are
secure, fast and instantly scalable. The newest
member of the family, IBM LinuxONE
Emperor™ II, is designed for businesses where
the following may be required:
• protecting sensitive transactions and
minimizing business risk
• accelerating the movement of data,
even with the largest databases
• growing users and transactions instantly
while maintaining operational excellence
• accessing an open platform that
LinuxONE from IBM is an example of a secure data-serving infrastructure platform that is designed to
meet the requirements of current-gen as well as next-gen apps. IBM LinuxONE is ideal for firms that
want the following:
? Extreme security: Firms that put data privacy and regulatory concerns at the top of their
requirements list will find that LinuxONE comes built in with best-in-class security features
such as EAL5+ isolation, crypto key protection, and a Secure Service Container framework.
? Uncompromised data-serving capabilities: LinuxONE is designed for structured and
unstructured data consolidation and optimized for running modern relational and nonrelational
databases. Firms can gain deep and timely insights from a "single source of truth."
? Unique balanced system architecture: The nondegrading performance and scaling capabilities
of LinuxONE — thanks to a unique shared memory and vertical scale architecture — make it
suitable for workloads such as databases and systems of reco
Every day, companies generate mountains of data that are critical to their business. With that data comes
a clear challenge: How do you protect exabytes of data that's strewn across global data centers,
computer rooms, remote offices, laptops, desktops, and mobile devices, as well as hosted by many
different cloud providers, without choking business agility, employee productivity, and customer
experience? The solution lies not in throwing more technology at the network, but in taking specific steps
to identify malicious actions and respond to them in order to fix the issue, a process known as
Every minute, the equivalent of one garbage truck of plastic waste enters our oceans—a total of 8 million metric tons a year. This plastic waste litters the seafloor and floats on the surface in vast plastic patches, poisoning seabirds and other marine life. By the year 2050, one estimate suggests there will be more plastic than fish in the world’s oceans. Founded in May 2013, social enterprise The Plastic Bank aims to tackle ocean pollution head-on.
Sophisticated banking requires sophisticated computing systems. But which systems offer the greatest chance for success? Many banks are discovering that the answer can be found within their on-premise data centers – the mainframe computer.
Mainframes have become a modern platform for innovation. When operating in a hybrid cloud environment, mainframes provide cost flexibility, scalability, agility, sophistication and unmatched security. And they support innovation, business transformation and new types of monetization. The power of mainframe computing is being rediscovered. Specifically, in a recent 2017 survey of banking executives, we found that:
• 50 percent said they believe hybrid cloud – and the systems that underpin it – can significantly lower the cost of IT ownership
• 47 percent said they believe mainframe enabled hybrid cloud can improve operating margin
• 47 percent said they believe dual-platform hybrid cloud can accelerate innovation.
While innovation and improved p
There are three things that senior executives in the financial services industry want from their investments in computing systems. They are the same three things these institutions require for their very survival. First is unwavering security. The integrity of customer accounts and records is paramount to maintain trust across the financial ecosystem. Cybercrime is anathema to the core function of banking and cannot be tolerated. Next is captivating, personalized experiences based on real-time data analytics leading to instantaneous customer fulfillment. And finally, there is the essential delivery of these secure experiences while providing a cost and efficiency advantage over competing solutions
Businesses are struggling with numerous variables to determine what their stance should be
regarding artificial intelligence (AI) applications that deliver new insights using deep learning.
The business opportunities are exceptionally promising. Not acting could potentially be a
business disaster as competitors gain a wealth of previously unavailable data to grow their
customer base. Most organizations are aware of the challenge, and their lines of business
(LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
IDC believes that this emerging environment is to date still highly undefined, even as
businesses must make critical decisions. Should businesses develop in-house or use VARs,
systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some
hybrid form? Can they use existing infrastructure, or do AI applications and deep learning
require new servers with new capabilities? We believe that many of these questions can be
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly
every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile,
social business, cloud, and big data analytics as the pillars. In this new environment, business leaders
are facing the challenge of lifting their organization to new levels of competitive capability, that of
digital transformation — leveraging digital technologies together with organizational, operational, and
business model innovation to develop new growth strategies. One such challenge is helping the
business efficiently reap value from big data and avoid being taken out by a competitor or disruptor
that figures out new opportunities from big data analytics before the business does.
From an IT perspective, there is a fairly straightforward sequence of applications that businesses can
adopt over time that will help put direction into this journey. IDC outlines this sequence to e
Far from being a soft issue, trust underpins the
management of your digital business and digital
ecosystems. This report highlights how trust is
fundamental to your digital transformation. It
focuses on the role of trust in the B2B context
and analyzes the key technologies, processes,
and operational values that CIOs and their teams
must use to build and maintain trusted
After several years of relentless hardware and software innovation, the mainframe is at an
inflection point from being a supporting platform of transaction revenue to becoming a
source of revenue growth and innovation. Organizations are evolving toward what IDC calls
the “connected mainframe.” The platform is transforming from a revenue-supporting machine
into a revenue-generating machine and is increasingly playing a central role in organizations’
digital transformation (DX) journey. Key steps in achieving the connected mainframe require
organizations to modernize and integrate the platform with their internal and external
environments. IDC finds that these modernization and integration initiatives lead to new
business innovations, which in turn are driving revenue growth and improving organizational