Published By: 3D Systems
Published Date: May 15, 2019
Jigs and fixtures offer manufacturers a reliable process for delivering accurate, high-quality outcomes, whether for a specific part or feature, or for consistency across multiples of parts. Although the methodologies and materials for producing jigs and fixtures have evolved beyond the conventional metal tooling of years past, their position as a manufacturing staple remains constant due to the benefits they offer.
This eBook discusses the use of additive manufacturing (AM) for jig and fixture applications, and demonstrates how production support can be improved in terms of speed, cost and functionality. The applications included within this eBook offer a mere glimpse at what is possible with AM for production support. The examples chosen illustrate opportunities for applying design principles and technology capabilities that are transferable across a wide range of applications.
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
Published By: Blue Prism
Published Date: Mar 28, 2019
Robotic process automation describes the use of technology to automate tasks that are traditionally
done by a human being. The technology itself mimics an end user by simulating user actions such as
navigating within an application or entering data into forms according to a set of rules. RPA is often
used to automate routine administrative tasks that typically require a human being to interact with
multiple systems, but RPA technology is evolving to support the automation of increasingly
sophisticated processes at scale within enterprise architectures rather than on the desktop. Over the
past two years, RPA has been adopted by a number of business process outsourcing (BPO) providers
and a growing number of end-user organizations are now deploying the technology themselves to
create “virtual workforces” of robotic workers.
Published By: Rackspace
Published Date: May 15, 2019
Coupling recommendations from the Rackspace DevOps Accelerator engagement with expert advice from Rackspace applications specialists, TotalTrax deployed Fanatical Support for AWS and integrated cloud-based containers to manage customer deployments faster and automate processes.
This year, businesses will increasingly turn to AI to power their business transformation. Machine learning and deep learning workloads are quickly becoming a mission-critical workload in the enterprise data center. As an IT leader, are you ready for the impending wave of AI applications that will demand new approaches to computing, storage and networking? Do you have the right strategy for scaling AI workload in your data center? We’ll introduce you to the IT visionaries who have made it happen. In this webinar we’ll explore how one IT leader accelerated his company’s success with an AI infrastructure strategy, sharing their best practices and insights.
By watching this webinar, you'll learn:
- Why it’s now critical for enterprise IT to have an AI infrastructure strategy that supports the business
- Explore one IT leader’s experience developing and implementing a best-of-breed platform for scaling AI workload in the data center
- Gain insights that can drive your AI infrastructur
A range of application security tools was developed to support the efforts to secure the enterprise from the threat posed by insecure applications. But in the ever-changing landscape of application security, how does an organization choose the right set of tools to mitigate the risks their applications pose to their environment? Equally important, how, when, and by whom are these tools used most effectively?
Application modernization is a powerful method for extending the life and improving the business value of a company's critical application assets. It provides an attractive and cost effective alternative to application development, enabling companies to defer investment in replacement initiatives without compromising business support.
Published By: Red Hat
Published Date: Sep 09, 2018
This assessment shows that enterprises adopt Red Hat Fuse because they believe in a community-based open source approach to integration for modernizing their integration infrastructure that delivers strong ROI. For these organizations, Fuse was part of a larger digital transformation initiative and was also used to modernize integration.
IDC interviewed organizations using Fuse to integrate important business applications across their heterogeneous IT environments. These Red Hat customers reported that Fuse has enabled them to complete substantially more integrations at a higher quality level, thereby supporting their efforts to deliver timely and functional applications and digital services. Efficiencies in application integration with Fuse have generated significant value for study participants, which IDC quantifies at an average value of $75,453 per application integrated per year ($985,600 per organization). They have attained this value by: » Enabling more efficient and effectiv
Why your data catalog won’t deliver significant ROI
According to Gartner, organizations that provide access to a curated catalog of internal and external data assets will derive twice as much business value from their analytics investments by 2020 than those that do not.
That’s a ringing endorsement of data catalogs, and a growing number of enterprises seem to agree. In fact, the global data catalog market is expected to grow from US$210.0 million in 2017 to US$620.0 million by 2022, at a Compound Annual Growth Rate (CAGR) of 24.2%.
Why such large and intensifying demand for data catalogs? The primary driver is that many organizations are working to modernize their data platforms with data lakes, cloud-based data warehouses, advanced analytics and various SaaS applications in order to grow profitable digital initiatives. To support these digital initiatives and other business imperatives, organizations need more reliable, faster access to their data.
However, modernizing data plat
You need to be ready to host any application anywhere. Our solution adapts to support all of your applications with the simplicity of hyperconvergence. If your IT organization is like most, you are stretched thin to support your developers as they create multicloud-native applications that they deploy across public and private clouds. And you still need to support line-of-business managers with traditional applications as they use both monolithic and cloud deployment models.
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In today’s dynamic business environment where applications and data are accessed outside of traditional corporate boundaries, IT must embrace the needs of both the business and an ever present mobile workforce. From business agility to employee efficiency, the never-ending quest for improved productivity is found in organisations across industries. And throughout it all, IT is charged with maintaining an organisation’s infrastructure, and security and access, while working to support initiatives that keep the business agile and growing, and employees productive.
Applications are the engines that drive today’s digital businesses. When the infrastructure that powers those applications is difficult to administer, or fails, businesses and their IT organizations are severely impacted. Traditionally, IT assumed much of the responsibility to ensure availability and performance. In the digital era, however, the industry needs to evolve and reset the requirements on vendors.
HPE Nimble Storage has broken away from convention and transformed how storage is managed and supported with the HPE InfoSight predictive analytics platform. HPE engaged ESG to conduct a quantitative survey of the HPE Nimble Storage installed base, as well as non-HPE Nimble Storage customers, to better assess how HPE InfoSight positively impacts customer environments.
To find out more download this whitepaper today.
Published By: HPE Intel
Published Date: Mar 14, 2016
The ever-rising tide of demands on IT organizations is creating constant pressure on their leaders to upgrade or replace their outmoded legacy systems with new infrastructure technologies that will allow them to keep pace with the speed of business. It is no longer sufficient to manage basic business applications and resources such as ERP, email, and silos of heterogeneous data. The bar has been raised higher than ever, and the role of IT is evolving to meet it. As a result, IT must support applications and services that make it possible for the business to provide new, diverse customer experiences while generating expanding revenues via the emergent crown jewels of business: big data, cloud, and mobility.
Today’s data centers are expected to deploy, manage, and report on different tiers of business applications, databases, virtual workloads, home
directories, and file sharing simultaneously. They also need to co-locate multiple systems while sharing power and energy. This is true for large as
well as small environments. The trend in modern IT is to consolidate as much as possible to minimize cost and maximize efficiency of data
centers and branch offices. HPE 3PAR StoreServ is highly efficient, flash-optimized storage engineered for the true convergence of block, file,
and object access to help consolidate diverse workloads efficiently. HPE 3PAR OS and converged controllers incorporate multiprotocol support
into the heart of the system architecture
Published By: Cisco EMEA
Published Date: Nov 08, 2018
Enterprise IT is changing. It’s evolving from a rigid, static, manually configured and managed architecture to one where connectivity is dynamic, application services are on demand, and processes are automated.
Enterprise networking is evolving along with IT. This has been evident in the past several years in initiatives such as enterprise digitization and as-a-service consumption models, as well as their
enablers, including BYOD, IoT and cloud. Add to this, all of the security implications of each initiative.
The purpose of this paper is to assess the switching requirements for next-generation campus networks incorporating wired switches, wireless LANs and WAN routers in an intuitive, intent-based network supporting cloud, mobility, IoT and digitization, with pervasive security.
Published By: Cisco EMEA
Published Date: Dec 11, 2018
Enterprise IT is changing. It’s evolving from a rigid, static, manually configured and managed architecture to one where connectivity is dynamic, application services are on demand, and processes are automated. Enterprise networking is evolving along with IT. This has been evident in the past several years in initiatives such as enterprise digitization and as-a-service consumption models, as well as their enablers, including BYOD, IoT and cloud. Add to this, all of the security implications of each initiative.
The evolution of IT requires a network that evolves along with IT’s changing requirements – a network that continuously adapts to ever-changing security threats, and evolving digitization, mobility, IoT and cloud requirements.
The purpose of this paper is to assess the switching requirements for next-generation campus networks incorporating wired switches, wireless LANs and WAN routers in an intuitive, intent-based network supporting cloud, mobility, IoT and digitization, with
Published By: Dell EMC
Published Date: Nov 08, 2016
Your data center struggles with competing requirements from your lines of business and the finance, security and IT departments. While some executives want to lower cost and increase efficiency, others want business growth and responsiveness. But today, most data center teams are just trying to keep up with application service levels, complex workflows, and sprawling infrastructure and support costs.
In today’s dynamic business environment where applications and data are accessed outside of traditional corporate boundaries, IT must embrace the needs of both the business and an ever present mobile workforce. Download this asset to learn more about working to support initiatives that keep the business agile and growing, and employees productive.
Sponsored by: HPE and Intel®
Virtualization has transformed the data center over the past decade. IT departments use virtualization to consolidate multiple server workloads onto a smaller number of more powerful servers. They use virtualization to scale existing applications by
adding more virtual machines to support them, and they deploy new applications without having to purchase additional servers to do so. They achieve greater resource utilization by balancing workloads across a large pool of servers in real time—and they respond more quickly to changes in workload or server availability by moving virtual machines between physical servers. Virtualized environments support private clouds on which application engineers can now provision their own virtual servers and networks in environments that expand and contract on demand.
Case management frameworks built on business process management platforms help IT solutions architects deploy case-handling applications and offer an alternative to specialized case management applications and custom coding. According to Gartner, the complex architecture required to support case management has relegated it to the status of a niche application, typically addressed by specialist, commercial off-the-shelf application providers and system integrators. Case management as a process style is being applied in many sectors beyond government, legal and insurance, including healthcare, banking, higher education and retail. Industry and cross-industry case management frameworks are now available. "Adaptive case management" hype exceeds the reality of what buyers need. Gartner evaluated 12 vendors including Pegasystems against nine critical capabilities in four use cases.
Download this Gartner analysis and gain a better understanding of the case management frameworks solutions offe
Published By: Oracle CX
Published Date: Oct 19, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions
of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by
the aggressive build-out for cloud computing. Big data and machine learning applications that perform
tasks such as fraud and intrusion detection, trend detection, and click-stream and social media
analysis all require forward-thinking solutions and enough compute power to deliver the performance
required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of
business up, and organizations need to support their customers with real-time data. The task of
managing sensitive information while capturing, analyzing, and acting upon massive volumes of data
every hour of every day has become critical.
These challenges have dramatically changed the way that IT systems are architected, provisioned,
and run compared to the past few decades. Most companies
A fundamental people-process-technology transformation enables businesses to remain
competitive in today’s innovation economy. Initiatives such as advanced security, fraud detection
services, connected consumer Internet of Things (IoT) devices, augmented or virtual reality
experience, machine and deep learning, and cognitively enabled applications drive superior
business outcomes such as predictive marketing and maintenance.
Superior business outcomes require businesses to consider IT a core competency. For IT, an
agile, elastic, and scalable IT infrastructure forms the crucial underpinning for a superior service
delivery model. The more up to date the infrastructure, the more capable it is of supporting the
scale and complexity of a changing application landscape. Current-generation applications must
be supplemented and eventually supplanted with next-generation (also known as cloud-native)
applications — each with very different infrastructure requirements. Keeping infrastructure up
Cloud services are a pillar of a digital transformation,
but they have also become a thorn in the side of many
security architects. As data and applications that were
once behind the enterprise firewall began roaming
free—on smartphones, between Internet-of-Things
(IoT) devices, and in the cloud—the threat landscape
expanded rapidly. Security architects scrambled to adjust
their technologies, policies, and procedures. But just
when they thought they had a handle on securing their
cloud-connected enterprises, new business imperatives
indicated that one cloud wasn’t enough.
Modern enterprises operate in a multi-cloud world,
where the threat landscape has reached a new level of
complexity. Security teams are juggling a hodgepodge
of policies, threat reports, and management tools. When
each cloud operates in its own silo, the security architect
has even more difficulty supporting the CISO or CIO with a
coherent, defensible security posture.
Published By: Dell EMC
Published Date: May 12, 2016
Today’s global business model presents both opportunities for business agility and challenges for IT management. To do business effectively, organizations require an IT infrastructure at remote locations that delivers applications and data with high performance and high reliability. Download this paper and learn how you can enjoy the benefits of having remote offices without the need for an entire IT staff to support it.
Enterprises use data virtualization software such as TIBCO® Data Virtualization to reduce data bottlenecks so more insights can be delivered for better business outcomes. For developers, data virtualization allows applications to access and use data without needing to know its technical details, such as how it is formatted or where it is physically located. For developers, data virtualization helps rapidly create reusable data services that access and transform data and deliver data analytics with even heavylifting reads completed quickly, securely, and with high performance. These data services can then be coalesced into a common data layer that can support a wide range of analytic and applications use cases. Data engineers and analytics development teams are big data virtualization users, with Gartner predicting over 50% of these teams adopting the technology by 202
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