With tight budgets, it isn't easy to create the operational dexterity needed to thrive in a competitive marketplace. View this demo to find out how IBM® SPSS® solutions for predictive operational analytics help manage physical and virtual assets, maintain infrastructure and capital equipment, and improve the efficiency of people and processes. By using your existing business information, IBM SPSS software can help you: predict and prevent equipment failures that can lead to disruptive, costly downtime; quickly identify and resolve product quality issues to mitigate risks and reduce warranty costs; optimize product assortment planning to increase revenue, reduce working capital requirements and improve the return on inventory investments; and act to retain your best employees by developing predictive attrition models to identify the workers at greatest risk of leaving the organization.
Your customers are asking for it. Your developers are ready for it. Your operations team is demanding it. What’s behind this momentum?
Software-as-a-Service (SaaS) is a fundamental shift away from traditional software licensing to a market-driven subscription model. Keystone engaged 20 ISVs who successfully transitioned to a SaaS model, and found:
New customer segments open thanks to lower adoption and operating costs.
With less complex infrastructure under SaaS, customer TCO drops.
ISV products improve with value-added cloud services and SaaS data capabilities.
Financial predictability improves with recurring revenue model.
New pricing models aligns ISV value to customers’ business needs, driving increased revenue.
Additional, significant operational benefits from switching to a SaaS model.
Fill out the form at right to get the free report, The Shift to SaaS: A high-value opportunity for ISVs.
The collection of product usage data increases the speed of product development by 33%. –
Published By: CDW-Lenovo
Published Date: Oct 15, 2015
This document is the Lenovo reference architecture (RA) for OpenStack from Red Hat Enterprise Linux OpenStack Platform. The RA focuses on achieving optimal performance and workload density using Lenovo hardware while minimizing procurement costs and operational overhead. The document shows different operational models using a variety of Lenovo servers and networking products with design considerations and guidance on how to size each part of the solution. Some examples of different reference designs are provided together with an appendix containing the hardware bill of materials.
Today's artifical intelligence (AI) solutions are not sentient in the manner popularized in science fiction by scores of self-aware and typically nefarious androids. Even so, the ability to arm such systems with the ability to directly sense and respond to their in situ environment is critical. Why? In the future, our experiences will be smart, intuitive and informed by analytics that are not seen
but felt via new business, personal and operational engagement models. Enabling this interaction requires AI applications that can sense, analyze and respond to their environment in an intelligent
and interactive manner. Without requiring the end user to write, understand or interpret code.
“Sensitive” artificial intelligence enables:
• More productive use of expanded (big, often unstructured) information sources
• Intuitive man-machine interactions (no code-speak here!)
• Adaptive, immersive experiences and environments
As frequently touted on the nightly news, AI’s popularity is clear. Ho
The most recent decade has seen rapid advances in connectivity, mobility, analytics, scalability, and data, spawning what has been called the fourth industrial revolution, or Industry 4.0. This fourth industrial revolution has digitalized operations and resulted in transformations in manufacturing efficiency, supply chain performance, product innovation, and in some cases enabled entirely new business models.
This transformation should be top of mind for quality leaders, as quality improvement and monitoring are among the top use cases for Industry 4.0. Quality 4.0 is closely aligning quality management with Industry 4.0 to enable enterprise efficiencies, performance, innovation and business models. However, much of the market isn’t focusing on Quality 4.0, since many quality teams are still trying to solve yesterday’s problems: inefficiency caused by fragmented systems, manual metrics calculations, quality teams independently performing quality work with minimal cross-functional own
Interest in cloud computing over the last several years has been phenomenal. For cloud providers, public or private, it will transform business and operational processes, streamlining customer on-ramping and time to market, facilitating innovation, providing cost efficiencies, and enabling the ability to scale resources on demand.
Cisco's Virtualized Multi-tenant Data Center (VMDC) system defines an end-to-end architecture, which an organization may reference for the migration or build out of virtualized, multi-tenant data centers for new cloud-based service models such as Infrastructure as a Service (IaaS).
The four pillars of computing — cloud, mobility, social, and analytics — are driving new levels of network innovation in datacenter networks. These forces are now buffeting the datacenter along with virtualization and the Internet of Things (IoT), resulting in sweeping changes in traffic patterns that expose the limitations of traditional networks and their operational models. To become a resource rather than a bottleneck to overall datacenter performance, the network must deliver not just exceptional performance and scalability but also unprecedented automation and orchestration that can yield agility, flexibility, and service velocity. This Technology Spotlight examines these key trends and discusses the role that Cisco's Application Centric Infrastructure (ACI) plays in addressing these
ongoing challenges for enterprise IT and network managers.
Leading organizations don’t think of data protection in traditional back-office terms—and that’s no accident. They think and act like service providers, and in doing so transform data protection operations from mere cost centers to business enablers. Traditional data protection architectures can’t meet today’s challenges of massive growth, application performance, and data availability. And they aren't designed for services-oriented business models.
Read this eBook to get insight on the essential elements of a modernized B2B integration architecture. Companies need a strategy as they think about modernizing their B2B integration capabilities. This eBook describes what to look for and how IBM can help.
You’ll learn about:
· Operating a single, secure B2B integration gateway
· Simplified onboarding and partner management.
· High availability business operations and disaster recovery
· Adaptable capabilities to help react to changes to your business processes
· Visibility and analytics that provide actionable insight over those processes
· Supporting a mix of hybrid deployment models including on-premises and cloud
Hybrid cloud is your IT platform of the present. Juniper Unite Cloud helps you win the race to the hybrid cloud because it offers the flexibility of hybrid cloud and hybrid operations models while effectively confronting and addressing the overabundance of variables in hybrid IT technologies. Juniper’s product portfolio offers the ultimate flexibility, so that you can seamlessly integrate cloud stacks and unify policy in and across today’s and tomorrow’s private and public clouds.
Contact your Juniper Networks representative to learn more about this hybrid cloud solution.