The Secure Data Center is a place in the network (PIN) where a company centralizes data and performs services for business. Data centers contain hundreds to thousands of physical and virtual servers that are segmented by applications, zones, and other methods. This guide addresses data center business flows and the security used to defend them. The Secure Data Center is one of the six places in the network within SAFE. SAFE is a holistic approach in which Secure PINs model the physical infrastructure and Secure Domains represent the operational aspects of a network.
Cisco ACI, the industry-leading software-defined networking solution, facilitates application agility and data center automation. With ACI Anywhere, enable scalable multicloud networks with a consistent policy model, and gain the flexibility to move applications seamlessly to any location or any cloud while maintaining security and high availability.
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products.
Watch this webinar to learn how TIBCO’s Smart Manufacturing solutions can help you overcome these challenges. You will also see a demonstration of TIBCO technology in action around improving yield and optimizing processes while also saving costs.
What You Will Learn:
Applying advanced analytics & machine learning / AI techniques to optimize complex manufacturing processes
How multi-variate statistical process control can help to detect deviations from a baseline
How to monitor in real time the OEE and produce a 360 view of your factory
The webinar also highlights customer case studies from our clients who have already successfully implemented process optimization models.
A global media conglomerate was facing issues with their existing operating model -stagnant quality of support, lack of innovation and inferior/deteriorating end user experience. LTI’s Amplified Outcomes Model - Mosaic helped deliver TCO reduction, coupled with enhanced user experience.
After buzzing Industry 4.0 all over the media by all OT and IT experts, today, a few key concepts seem to unveil the potential that the industry believes is behind Industry 4.0. These include: Smart Machines, Smart Factory, cyber physical systems, Everything-as-a-Service and a few technologies like OPC UA, cloud and data analytics.
Clearly, they are the innovation drivers and must-haves for every vendor of automation products that want to be recognized as leaders or challengers. Sooner or later they will become standards and used by followers and niche players, but the key question for the market of automation suppliers is not who is first in developing and providing all the nice concepts and technologies, but who is creating and combining them in the right way so that they can be turned into new revenue streams.
We keep in mind that competitive advantages can be achieved through increasing operational efficiency, but the better way is through strategic uniqueness. Companies which ar
Schneider Electric surveyed over 400 worldwide machine builders and factory end users in 2015. The questions they answered all centered around what their machines and plants would need to look like in 2020 if their businesses were to sustain growth and boost productivity. Their feedback has shaped (and will continue to shape) Schneider Electric digitized solution investments.
Key requirements identified included:
• Tools that could accommodate a younger, less skilled, and less experienced workforce
• A need for simpler integration through open software connectivity and more open field buses
• A need for whole lifecycle support of the products they purchase
Read this eBook to see answers to some of these identified key points from those surveyed.
Durante bastante tiempo, la Inteligencia Artificial ha tenido un atractivo para mejorar los procesos, aumentar la productividad y generar impactos de primera y última generación en las organizaciones. Los avances en datos y analítica han permitido a los primeros en adoptar la IA a nivel mundial en todas las industrias a crecer más allá de los experimentos y los éxitos rápidos, así como a proporcionar ejemplos de éxito con esta tecnología.
Discover best path forward for monetizing your SaaS products. This whitepaper explores the pricing strategies and best practices for billing SaaS businesses. Some of the topics covered include:
• Billing solution innovation facilitated by the SaaS economy.
• Common SaaS pricing models and strategies.
• Feature requirements for monetizing SaaS products.
You’ll learn what to look for in a billing solution and understand what questions you need to ask before committing to an agile billing platform.
As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them.
Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include:
Why data science should not be treated like engineering.
How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle.
Why agility and special hardware to support burst computing are so important to data science break
A data science platform is where all data science work takes place and acts as the system of record for predictive models. While a few leading model-driven businesses have made the data science platform an integral part of their enterprise architecture, most companies are still trying to understand what a data science platform is and how it fits into their architecture. Data science is unlike other technical disciplines, and models are not like software or data. Therefore, a data science platform requires a different type of technology platform.
This document provides IT leaders with the top 10 questions to ask of data science platforms to ensure the platform handles the uniqueness of data science work.
As organizations increasingly strive to become model-driven, they recognize the necessity of a data science platform. According to a recent survey report “Key Factors on the Journey to Become Model-Driven”, 86% of model-driven companies differentiate themselves by using a data science platform. And yet the question of whether to build or buy still remains.
This paper presents a framework to facilitate the decision process, and considers the four-year projection of total costs for both approaches in a sample scenario.
Read this whitepaper to understand three major factors in your decision process:
Total cost of ownership - Internal build costs often run into the tens of millions
Opportunity costs - Distraction from your core competency
Risk factors - Missed deadlines and delayed time to market
Published By: Anaplan
Published Date: Apr 02, 2019
Connected organizations collaborate across business functions to dynamically steer business performance. Previous generations of planning software have fallen short of this vision, making collaboration difficult to achieve, scattering data across multiple sources, and providing inflexible planning models that require heavy IT support.
This landscape motivated Anaplan to develop an innovative platform that enables Connected Planning across the entire enterprise. The FSN Innovation Showcase highlights three major innovations that support these objectives:
• Anaplan’s proprietary Hyperblock® technology
• The App Hub, a suite of 250+ industry-leading solutions
• Developments in machine learning and artificial intelligence
Published By: DataCore
Published Date: Apr 23, 2019
In our developing digital economy, IT is a strategic asset. By effectively leveraging data, businesses become more operationally efficient, create more differentiated customer experiences, and develop new products and business models. However, unlocking those benefits requires a higher degree of execution by IT. Simply keeping pace with demand is no longer good enough; IT needs to help drive the business’s digital pursuits. The increased pressure on IT has amplified complexity, as well—66% of IT decision makers surveyed by ESG say IT is more complex than it was just two years ago.1
Demands being placed on IT are scaling relentlessly, and the tools IT teams use are in a constant state of evolution. Integrating and optimizing those new infrastructure technologies while managing existing investments is a perpetual burden. IT organizations, therefore, have two choices: either increase their personnel and budgets enough to survive the evolution with just traditional tools, or redirect those
What actually is Threat Intelligence? How are other organisations benefiting from it? How can threat intelligence strengthen all the teams in a cybersecurity organization? Find these answers in this book! Offering practical advices that you can dip into as and when you need, so you should feel free to jump straight into the chapter that interests you most. Our hope is that you will begin to see more of the ways that threat intelligence can solve real-world security problems.
In this handbook uncover:
- The kinds of threat intelligence that are useful to security teams and how each team can use that intelligence to solve problems and address challenges
- How security analysts in the real world use threat intelligence to decide what alerts to investigate, what incidents to escalate and what vulnerabilities to patch
- How information collected outside of the enterprise can help model risks more accurately and prevent fraud
Published By: MuleSoft
Published Date: Apr 15, 2019
eCommerce offers consumers new ways to interact with traditional retailers, resulting in changed consumer preferences – 63% of customers today would switch brands for a better connected experience, and 75% want personalized offers based on purchase history. Traditional retailers need to consider how to build a new digital retail platform strategy within their business models to engage with consumers and help maintain their competitive edge.
Read this whitepaper to learn:
A 4-step strategy for retailers to build a retail digital platform strategy with APIs.
The role APIs can play in optimizing consumer journey personalization and creating new revenue channels.
How a leading fast food company created a unified consumer experience by adopting a platform-based business model.
Countless studies and analyst recommendations suggest the value of improving security during the software development life cycle rather than trying to address vulnerabilities in software discovered after widespread adoption and deployment. The justification is clear.For software vendors, costs are incurred both directly and indirectly from security flaws found in their products. Reassigning development resources to create and distribute patches can often cost software vendors millions of dollars, while successful exploits of a single vulnerability have in some cases caused billions of dollars in losses to businesses worldwide. Vendors blamed for vulnerabilities in their product's source code face losses in credibility, brand image, and competitive advantage.
Windows Server 2012 represents a paradigm shift from the traditional client/server model to a new cloud-based infrastructure. Is your business ready? Download this whitepaper to learn the 7 key questions you need to answer now
Marketing is evolving and B2B Marketers that fail to embrace this change will become irrelevant. While shocking to some, this perspective is not new; it's simply becoming increasingly apparent to the B2B marketing community.
The arrival of 3rd party data is changing the landscape of online targeting. There is an influx of companies offering these services. But, what works with your business model? How do you evaluate the options?
THE QUESTIONS YOU NEED TO KNOW AND WHY:
• Is there high fidelity data?
• Is the provided data stable?
• Is your partner built to last?
• Does your partner use a transparent methodology?
Download our guide to evaluating data providers and find out the importance and relevance of these terms and conditions.
Small and midsize retailers around the world are seeing their businesses transform in a variety of ways. These firms, typically with fewer than 1,000 employees, have been transforming themselves as customers seek new types of engagement and as suppliers expect higher levels of efficiency and effectiveness. New business models and new competitors are changing the way retailers do business. Rather than simply react to new threats, successful retailers are leveraging technology in new ways to sharpen business practices, improve agility, and better serve customers while strengthening the role of retailers in the supply chain.
Through digital transformation including the effective engagement of the internet of things (IoT) to track inventory, the opportunity to maintain and gain competitive advantage can be significant.
IT market intelligence agency, IDC, conducted a global study of 3500+ IT leaders around the world and found that companies at all levels are considering PC Lifecycle as a Service models to reduce costs, shorten refresh cycles and procure better equipment for their employees.
Dell PC as a Service (PCaaS) combines hardware, software, lifecycle services and financing into one all-encompassing solution – providing a single, predictable price per seat per month provided by Dell Financial Services.
Published By: Dell EMC
Published Date: Aug 23, 2018
“Während 3D-Designtools schon lange verfügbar sind, eröffnet die Konsumerisierung der virtuellen Realität (VR) Visualisierungsoptionen in einem noch nie dagewesenen Umfang. Visualisierung hat sich dahingehend entwickelt, das Designer fotorealistische Bilder zu Produkten in natürlichen Umgebungen schneller und exakter erstellen können. So wird die Markteinführung beschleunigt, und Kunden können das Produkt selbst testen, und das alles ohne echte Kosten für Prototypenentwicklung und Modellierung. Dieser Leitfaden soll Ihnen einen Überblick über die neuesten Entwicklungen im Bereich Visualisierung verschaffen und die neuen VR Center of Excellence in Limerick, Santa Clara und Austin vorstellen, wo Sie die Vorteile selbst erleben können.”
Executive Director und General Manager
Published By: Dell EMC
Published Date: Aug 23, 2018
“While 3D design tools have been around for a while, the consumerisation of VR is opening-up visualisation options at an unprecedented rate. Visualisation has evolved to a level that allows designers to produce photorealistic images of products in natural environments faster and with more accuracy, enabling even faster time-to-market and allowing customers to experience the product for themselves – and all without real-world prototyping and modelling costs. This guide is designed to give you an overview of the latest developments in visualisation and introduce our new VR Centres of Excellence in Limerick, Cork, Paris, Frankfurt, Dubai, Santa Clara or Austin, where you can experience the benefits for yourself.”
Executive Director and General Manager
Credit Union Times is the nation's leading independent source for breaking news and analysis for credit union leaders. For more than 20 years, Credit Union Times has set the standard for editorial excellence and ethical, straight-forward reporting.