As legacy ERP data structures and technology begin winding down, they are making way for a whole new generation of technology that brings exponential performance and dramatically new problem-solving capabilities.
Download the whitepaper to discover the demands driving this evolution, explore the potential promised by next-gen ERP, and learn why ‘playing it safe’ is no longer an option.
Forrester Consulting conducted a Total Economic Impact (TEI) study to provide readers with a framework to evaluate the potential financial impact of SAP S/4HANA on their organizations. To better understand the benefits, costs, and risks associated with this investment, Forrester interviewed several customers with experience using SAP S/4HANA.
Read the study to learn how Forrester concluded that SAP S/4HANA provides an ROI of 349%.
Published By: Red Hat
Published Date: Aug 22, 2018
Unlike surveys that just look at what respondents say at a specific point in time, the BPTrends survey has been asking questions of process practitioners for over a decade. Thus, we are in a good position to generalize about ongoing trends in process work. Broadly speaking, the interest in business process change has evolved slowly. For some organizations the progress has been dramatic, but for most, their process initiatives are best described by the phrase “two steps forward; one step back.” An amazing number of organizations have focused on process work for several years, made significant progress, then, seemingly forgotten all about their process work, regressed, and then, a few years later, started up again.
If you’re relying on manual processes for testing applications, artificial and automated intelligence (AI) and machine learning (ML) can help you build more efficient continuous frameworks for quality delivery.
In this on-demand webinar, “Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices,” you’ll learn how to:
Use AI and ML as the new, necessary approach for testing intelligent applications.
Strategically apply AI and ML to your testing practices.
Identify the tangible benefits of continuous intelligent testing.
Reduce risk while driving test efficiency and improvement.
This webinar offers practical steps to applying AI and ML to your app testing.
The speaker, Jeff Scheaffer, is senior vice president and general manager of the Continuous Delivery Business Unit at CA Technologies. His specialties include DevOps, Mobility, Software as a Service (SaaS) and Continuous Delivery (CDCI).
Un numero sempre crescente di aziende ricorre alla containerizzazione delle applicazioni per aumentare l'efficienza e la velocità dello sviluppo. Grazie ai container, gli sviluppatori possono inserire in un pacchetto, inviare ed eseguire qualunque applicazione sotto forma di container leggero e autosufficiente, eseguibile praticamente ovunque, per garantire la portabilità istantanea dell'applicazione.
Per comprendere più chiaramente lo stato del monitoraggio dei container, abbiamo intervistato 100 executive e identificato i principali trend per i container. In questo eBook viene esaminato ogni singolo trend, quindi vengono forniti indicazioni concrete e passi successivi da compiere per garantire il controllo completo del monitoraggio dell'ambiente container.
La metodología DevOps ya no se considera vanguardista. Tampoco lo es la entrega continua, ni siquiera el paradigma de la resolución en origen.
En este libro blanco, se explica cómo aprovechar las herramientas y prácticas de DevOps de una manera orientada a los clientes para crear valor de negocio. Se analizan los retos actuales a los que la mayoría de las organizaciones se enfrentan al extender las innovaciones de DevOps más allá del ámbito técnico, se identifican los vacíos que las compañías deben llenar dentro de las cadenas de entrega continua para abordar dichos retos y se explica cómo lograr que el compromiso con los usuarios y la experiencia de los clientes sean una consideración primordial en todas las etapas del canal de entrega.
Software drives competitive advantage more than ever at an increasing velocity for releases along with higher, overwhelming levels of deployment complexity.
Dramatic growth in mobile applications, analytics, systems of engagement, and cloud demands that organizations respond adaptively, even as resource constraints make it challenging to nearly impossible to do so. As a result of these combined factors, IDC sees increased interest in, demand for, and adoption of agile approaches to development and also for business initiatives driving adoption of agile approaches to overall project, program, and portfolio management. As we receive inquiry on this area increasingly, it makes sense to assess this market.
Il software di project and portfolio management o PPM può essere determinante per la capacità di delivery di un'azienda.
La recente crescita del portfolio management come funzione di business strategica ha portato molti vendor di software correlato ad elementi dell'esecuzione di progetto a "lanciarsi" sui moduli di project and portfolio management (PPM). Si tratta chiaramente di un tentativo di mettere piede in un mercato redditizio e in crescita.
De un solo vistazo
Los trabajadores de hoy en día están acostumbrados a usar tecnologías personales que facilitan la comunicación y que simplifican sus vidas. Sin embargo, muchas herramientas empresariales no han podido seguir el ritmo.
La mayoría de soluciones de gestión de carteras y productos actuales no logran proporcionar formas sencillas de realizar las tareas diarias. No facilitan una comunicación en contexto que ayude a solucionar los problemas y no cuentan con funcionalidades básicas, como la capacidad de estrechar el foco sobre los datos relevantes, de clasificar información adicional, de realizar previsiones financieras eficaces y de modelar los resultados.
El software de PPM (gestión de proyectos y carteras) puede favorecer o menoscabar la capacidad de entrega de una organización.
El reciente crecimiento de la gestión de carteras como función empresarial estratégica ha llevado a muchos distribuidores de software relacionados con elementos de la ejecución de proyectos a integrar módulos de gestión de proyectos y carteras (PPM). Este es un intento claro de sacar partido de un mercado lucrativo y en auge.
De un solo vistazo
Gracias al nuevo software CA Project & Portfolio Management (CA PPM) 15.3, podrá adaptar proyectos a cualquier unidad de negocio con la facilidad que ofrece la acción de arrastrar y soltar. A partir de ahora, los trabajadores no pasarán días preparando proyectos, les bastará con solo unos minutos, ya se trate de un flujo de trabajo complejo para el departamento de recursos humanos o de una gestión de tareas sencilla para el departamento de ventas.
Agregue la opción de colaborar en la propia aplicación para eliminar reuniones redundantes, una cuadrícula conocida, ya que se parece a la de Microsoft Excel®, para gestionar presupuestos y una conexión nueva para herramientas de inteligencia empresarial (BI) de terceros para encontrar respuestas, y contará con la aplicación de gestión de carteras de proyectos más moderna del mercado en la actualidad.
Las modernas soluciones, como CA Project & Portfolio Management (CA PPM), siguen superando el listón de las herramientas de gestión de la demanda de TI de última generación y proporcionan continuamente nuevas funciones que aligeran la carga del PMO, el gestor financiero, el gestor de recursos y el gestor de productos.
En los últimos años, los nuevos distribuidores que buscan aprovechar el gran mercado, cada vez más influyente, de gestión de proyectos y carteras (PPM) han desarrollado módulos que “encajan” en las plataformas SaaS. Estos distribuidores declaran que sus herramientas son fáciles de instalar, de gestionar y permiten ahorrar costes al cliente. Increíble, pero cierto. Y es así para la mayoría de las organizaciones.
The Summer 2018 security report is about change: what’s new and unusual in DDoS attacks, where are the surprising data patterns, and how should enterprises and security professionals prepare for the unexpected. Looking back at November 2017 to April 2018, as well as year-over-year changes, Akamai analysts identified data trends that spotlight the new and unfamiliar. The Summer 2018 State of the Internet / Security: Web Attacks report covers atypical attack methods, credential abuse attacks and law enforcement prosecution of DDoS-for-hire platforms. Guest writer Rik Ferguson also explores future threat scenarios.
Finally, the Integrate SID for your records (and in case you need it) for this program is: 0E9175.
Anything else you need to hit the ground running with this program?
Maintaining a competitive edge today means building a Digital Enterprise capable of taking full advantage of social, mobile, web, cloud, “things,” (sensors and devices), and analytics technologies. Among the terms used to describe this business transition is “the API Economy,” an economy in which APIs are no longer just an IT concern, but the underpinnings of new revenue streams and new business models that are disrupting entire industries.
Read this paper to learn about:
New, modern applications being built for the enterprise
Application ecosystems and extending the value of your company in the API Economy
Two ways to integrate devices in the Internet of Things
The microservices approach to application development
The role of API management in the digital enterprise
Expanding analytic capabilities are critical to digitizing the business, optimizing costs, accelerating innovation, and surviving digital disruption
Historically, manufacturers were almost solely focused on reducing costs by applying automation and analytics to engineering, R&D, manufacturing operations, and quality organizations. Even though the strategies used within these areas are still needed, they are not sufficient to ensure business survival and continuity in the age of Industry 4.0 and the IoT.
Today, it is paramount that smart manufacturers broaden their scope because disruptive innovations in data acquisition, storage, and analytics technology have enabled an entirely new degree of automation and virtualization, promising a complete 360-degree high-fidelity virtual data-driven integrated views of all operations—from suppliers and supply chains, through equipment, processes, and manufacturing practices, to final product testing and customer satisfaction.
Download this paper
Published By: Elementum
Published Date: Sep 03, 2018
While everyone is scrambling to make sure their income statements reflect a profitable year by squeezing procurement costs, it’s actually the balance sheet that tells the full story of long term financial health.
Start the journey to operational and digital excellence by gaining a clear strategy for the first steps forward.
This resource includes:
• An executive summary of Smart Manufacturing
• Benchmarking manufacturing operations management
• The road to MOM 4.0
• Digital transformation is a vehicle, not a destination
• Recommendations to achieve digital excellence
Manufacturers need to start now and follow a clear path from corporate strategic objectives through to successful program implementation.
A&D manufacturers and their suppliers now depend more than ever on global supply chains. As they reach across time zones, languages and cultures, supply chains have to work around challenges that build up costs and drag down production schedules. Communication between distributed engineering and production centers can be labored and error-prone. These problems are often compounded by repetitive programming, incomplete simulations, time-intensive production methods, and concern that the shop floor may not be working with current data. Ideally, global companies should be able to design products at any location and produce them at selected sites, with all stakeholders from design to the shop floor working concurrently from a single unique global data source.
Understand how manufacturing companies can deliver machined parts faster and increase revenue by reducing costs – despite operating globally across time zones and cultures.
Law firms are – or should be – rethinking the way they approach the delivery of legal services and leveraging service providers to achieve the efficiency their clients are demanding. According to the Alternative Legal Service Study, 51% of law firms report using an Alternative Legal Service Provider (ALSP) such as a managed review provider for at least one type of service today. And the use among law firms is set to grow dramatically in the next five years.
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
Published By: ServiceNow
Published Date: Sep 18, 2018
When a global transportation logistics provider wanted to improve support for its global network of branch offices in the Americas, Europe, and Asia, it used performance analytics to monitor and analyze the organization’s support processes. Not only did performance analytics dramatically increase visibility—allowing the company to move from monthly reports to on-demand performance dashboards—it also uncovered major process bottlenecks. In one case, resolving a single bottleneck increased efficiency by 17%, making support far more responsive while saving hundreds of hours of effort.
Discover how ServiceNow Performance Analytics can benefit your business by downloading this white paper.
Gartner named Akamai a Leader in their 2017 Magic Quadrant for Web Application Firewalls.
A web application firewall is an essential element in your defense against application-layer attacks, which pose an ever-greater threat to productivity and security.
The Akamai approach to WAF combines:
An anomaly detection model
A repeatable testing framework to measure effectiveness
Threat intelligence to identify the latest threats
A cloud platform for global scale
Managed security services to help organizations better protect their websites and web applications over time
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS
Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
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