Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
"Learn how to manage a software defined infrastructure SDI deployment and understand the benefit of composable versus traditional infrastructure. The white paper will also cover the definition of an SDI as well as what an IT organization should look for in an SDI solutions provider.
Explore these questions in this white paper with a critical look at HPE’s software-defined and CI offering, HPE Synergy."
Tech advances like the cloud, mobile technology, and the app-based software model have changed the way today’s modern business operates.
They’ve also changed the way criminals attack and steal from businesses. Criminals strive to be agile in much the same way that companies do. Spreading malware is a favorite technique among attackers. According to the 2019 Data Breach Investigations Report, 28% of data breaches included malware.¹
While malware’s pervasiveness may not come as a surprise to many people, what’s not always so well understood is that automating app attacks—by means of malicious bots —is the most common way cybercriminals commit their crimes and spread malware. It helps them achieve scale.
While NFV remains both technically and business relevant today, many communications service providers (CoSPs) have found implementation very complex. NFV implementation will require further evolution in order to fully address operational and business requirements. This white paper reviews factors currently driving the network virtualization evolution and examines the impact of adopting an innovative model based on software and hardware disaggregation.
Published By: CheckMarx
Published Date: Jun 21, 2019
DevSecOps, modern web application design and high-profile breaches are expanding the scope of the AST market. Security and risk management leaders will need to meet tighter deadlines and test more complex applications by accelerating efforts to integrate and automate AST in the software life cycle.
According to Gartner, "supply chain leaders responsible for quality management are shifting to software solutions that standardize processes, optimize data and ensure compliance. This research provides guidance for structuring a process for QMS software selection."
Download this Gartner Analyst Guide to learn:
Key challenges in the QMS software selection processes
What to expect from different QMS solutions across the market
Analysis of the current state of quality management to help define software requirements
Self assessment questions and commonly sought QMS system functionalities to use in your decision making process
As demand for QMS solutions grows, so does the vendor landscape, complicating decisions over the right choice that ensures a successful implementation and facilitates mission-critical quality initiatives.
Research shows 71% of software rollouts fail, are late or are over budget.
Download this paper to learn more about the selection and the 7 key elements for the successful implementation of a QMS.
In this guidebook, learn how modern retailers are using integrated hardware and software POS solutions to expand the range of their customer interactions. One thing is certain, hardware and software must work together to readily accommodate new consumer demands.
"Cisco has been named in the first ever Gartner ‘Voice of the Customer’ report for the Secure Web Gateways (SWG) market for Cisco Umbrella.
Gartner Peer Insights is a peer review and ratings platform designed for enterprise software and services decision makers. This document synthesizes Gartner Peer Insights’ content in the SWG market for 2018.
Gartner states that ""this peer perspective along with the individual detailed reviews, is complementary to expert research and should play a key role in the customer buying process.""
This report includes:
- SWG Peer Reviews and Ratings
- Vendor comparisons
- Reviewer demographic"
This paper is for IT development executives looking to gain control of open source software as part of a multi-source development process. You can gain significant management control over open source software use in your development organization. Today, many IT executives, enterprise architects, and development managers in leading companies have gained management control over the externally-sourced software used by their application development groups. Download this free paper to discover how.
Published By: Tricentis
Published Date: Aug 19, 2019
Think back just 5 years ago. In 2014…
• The seminal DevOps book—Gene Kim’s The Phoenix Project—was one year old
• Gartner predicted that 25% of Global 2000 enterprises would adopt DevOps to some extent by 20161
• "Continuous Testing” just started appearing in industry publications and conferences2
• Many of today’s popular test frameworks were brand new—or not yet released
• The term “microservices” was just entering our lexicon
• QC/UFT and ALM were still sold by HP (not even HPE yet)
• Only 30% of enterprise software testing was performed fully “in house”3
• There was no GDPR restricting the use of production data for software testing
• Packaged apps were typically updated on an annual or semi-annual basis and modern platforms like
SAP S/4HANA and Salesforce Lightning hadn’t even been announced
Times have changed—a lot. If the way that you’re testing hasn’t already transformed dramatically, it will soon.
And the pace and scope of disruption will continue to escalate throughout the fo
Published By: Tricentis
Published Date: Aug 19, 2019
Let’s face it. Businesses don’t want—or need—perfect software. They want to deliver new, businessdifferentiating
software as soon as possible. To enable this, we (Development and Testing teams) need fast
feedback on whether the latest innovations will work as expected or crash and burn in production. We also
need to know if these changes somehow broke the core functionality that the customer base—and thus the
This is where Continuous Testing comes in.
Continuous Testing is the process of executing automated tests as part of the software delivery pipeline in
order to obtain feedback on the business risks associated with a software release candidate as rapidly as
Published By: Tricentis
Published Date: Aug 19, 2019
The way that we develop and deliver software has changed dramatically in the
past 5 years—but the metrics we use to measure quality remain largely the
same. Despite seismic shifts in business expectations, development methodologies,
system architectures, and team structures, most organizations still
rely on quality metrics that were designed for a much different era.
Every other aspect of application delivery has been scrutinized and optimized
as we transform our processes for DevOps. Why not put quality metrics under
the microscope as well?
Are metrics like number of automated tests, test case coverage, and pass/fail
rate important in the context of DevOps, where the goal is immediate insight
into whether a given release candidate has an acceptable level of risk? What
other metrics can help us ensure that the steady stream of updates don’t undermine
the very user experience that we’re working so hard to enhance?
To provide the DevOps community an objective perspective
on what quality
What if you could use just one platform to detect all types of major financial crimes?
One platform to handle the analytical tasks of fraud detection, including:
Data processing and aggregation
Statistical/mathematical/machine learning modeling
One platform that could successfully reduce complex and time-consuming fraud investigations by combining extremely different domains of knowledge including Business, Economics, Finance, and Law. A platform that can cover payments, credit card transactions, and know your customer (KYC) processes, as well as similar use cases like anti-money laundering (AML), trade surveillance, and crimes such as insurance claims fraud.
Learn more about TIBCO's comprehensive software capabilities behind tackling all these types of fraud in this in depth whitepaper.
AA Ireland specializes in home, motor, and travel insurance and provides emergency rescue for people in their homes and on the road, attending to over 140,000 car break downs every year, 80% of which are fixed on-the-spot.
“In each of the last five years, the industry lost a quarter billion in motor insurance," says Colm Carey, chief analytics officer. "So, there's a huge push for new data, models, ways to segment and pick profitable customer types—and get a lot more sophisticated. Our goal is to optimize pricing, understand the types of customers we're bringing, and the types we're trying to attract. We would like to tie that across the business. Marketing will run a campaign, trying to attract a lot of customers, but maybe they're not the right type. "We wanted to step away from industry standard software and go with something that was powerful and future-proof. In 2016, we had an opportunity to analyze all software.
We chose the TIBCO® System of Insight with TIBCO BusinessWorks™ i
The Insurance industry continues to undergo significant transformation, with
new technologies, business models, and competitors entering the market at an
increasing rate. To be successful in attracting and retaining the most valuable
customers, insurance companies must innovate and increase the speed at which
they respond to customer demands. Traditionally, the insurance software market
was dominated by a handful of specialist vendors with products that were initially
expensive, difficult to deploy, costly to maintain, and did not provide the speed
needed for today’s market.
Now there has been a shift away from these “black box” applications to platforms
that allow insurers to make their algorithmic IP available to business users, allowing
much faster response to business demands. The algorithmic platform approach also
comes at a fraction of the cost of black box solutions, while delivering advanced
analytical techniques like Machine Learning and Artificial Intelligence (AI).
Amazon Web Services (AWS) offers scalable, cost-efficient cloud services that public sector customers can use to meet mandates, reduce costs, drive efficiencies, and accelerate innovation.
The procurement of an infrastructure as a service (IaaS) cloud is unlike traditional technology purchasing. Traditional public sector procurement and contracting approaches that are designed to purchase products, such as hardware and related software, can be inconsistent with cloud services (like IaaS). A failure to modernize contracting and procurement approaches can reduce the pool of competitors and inhibit customer ability to adopt and leverage cloud technology
AWS worked with FedRAMP to develop a set of standards under which highly sensitive government data could securely migrate into cloud environments. If ever you doubted that cloud computing was the new frontier for federal data and software management, look around
Infinidat® enterprise storage solutions are based upon the unique and patented Infinidat storage architecture—A fully abstracted set of Software-Defined Storage (SDS) functions integrated with the best-of-breed off-the-shelf commodity hardware. Infinidat’s software-focused architecture, an evolution and revolution in data management design over 30 years in the making, solves the conflicting requirements of bigger, faster, and less expensive. This paper discusses the technology that enables Infinidat to be the only enterprise storage provider that achieves multi-petabyte capacity with faster than all-flash performance (over 1.3M IOPS at microsecond latency) and an unprecedented seven-nines availability, all at the lowest Total Cost of Ownership (TCO).
Die INFINIDAT® Enterprise-Storage-Lösungen basieren auf der einzigartigen und patentierten INFINIDAT Speicherarchitektur - Ein vollständig abstrahierter Satz von Software-De?ned Storage (SDS)-Funktionen wird mit der besten Standard-Hardware integriert. Mit dem Versand der Software liefert INFINIDAT eine ausgiebig getestete Hardware-Referenzplattform mit. Damit stellt INFINIDAT die ersten echten SDS-Lösungen der Enterprise-Klasse bereit.
Published By: Dell EMC
Published Date: Aug 01, 2019
Pursuing agility to truly impact business transformation requires embracing date center modernization as a core competency. Crucial to this is having the most up-to-date IT instructure to support the scale and complexity of a changing technology landscape. Companies must embrace this imperative by adopting software-defined data center principles, embracing modernization, and automating their IT management processes. Those that do will propel business innovation and deliver superior customer experiences with fast, secure, and reliable business technology. Download this whitepaper from Dell and Intel® to learn more.
Today, despite massive investments in data, IT infrastructure,
and analytics software, the adoption of analytics continues to lag
behind. In fact, according to Gartner, most organizations fail to hit
the 30% mark. That means that more than 70% of people at most
organizations are going without access to the critical information
they need to perform to the best of their abilities.
What’s stopping organizations from breaking through the 30%
barrier and driving the pervasive adoption of intelligence? Simple.
The majority of existing tools only cater to users who are naturally
analytically inclined—the analysts, data scientists, and architects
of the world. The other 70%—the people making the operational
decisions daily within a business—simply lack the time, skill, or
desire to seek out data and intelligence on their own.
HyperIntelligence helps organizations operationalize their
existing investments and arm everyone across the organization
with intelligence. Whether
Published By: Sangoma
Published Date: Jan 30, 2013
The most cost-effective, easiest to provision, and easiest to manage line of SBCs on the market. Sangoma’s Vega Enterprise SBC VM/Software provides full-featured protection and easy interconnection at the edge of enterprise networks.
Digital Business Demands Better
In your organization, you’ve probably heard
questions like these asked of the application
development and/or infrastructure and operations
> Why can’t our software development teams keep up with new business
> Why are we always waiting on infrastructure teams?
> Why do our business initiatives become outdated before their required software is
> Is our software development team aligned with corporate goals like engaging
younger consumers on their mobile devices?
Por años, los fabricantes han estado tratando de optimizar sus procesos y cadenas de suministro asociadas creando mercados, intercambios estandarizados, y sistemas monolíticos. En muchos casos, estas soluciones no logran su objetivo, lo que da origen a procesos fragmentados y frágiles, y en los que compartir datos es complicado.
Blockchain, la tecnología que está detrás de Bitcoin y otras criptomonedas, puede resolver estos problemas. Compartir información mediante una red distribuida confiable con una lógica de negocio integrada ofrece muchos beneficios al sector manufacturero, especialmente cuando se combina con las comunidades de IoT y de IA.
Vea este webinar titulado Blockchain y Manufactura: Una Manera Inteligente de Elevar la Eficiencia en las Cadenas de Suministro de Semiconductores y Electrónica, conducido por Nelson Petracek, director de Tecnología de TIBCO Software. Entre los temas que se abordan se incluye:
• Blockchains empresariales
• Casos de uso en el sector manufactur