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Published By: SADA     Published Date: Oct 25, 2019
Google commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying G Suite. The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of G Suite on their organizations. Google G Suite offers a set of work applications that help organizations transform their businesses. To better understand the benefits, costs, and risks associated with this investment, Forrester interviewed eight enterprise customers with years of experience using G Suite.
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SADA
Published By: NTT Ltd.     Published Date: Aug 15, 2019
As businesses are driven to digital transformation by changing market forces and customer expectations, many are looking to new technologies, including new infrastructure environments, as enablers. As a result, we are seeing a near-universal appetite for hybrid outcomes as business functions are executed across multiple on-premises and external infrastructure environments in pursuit of agility, cost, performance and other business benefits. Hybrid IT has become a key strategic imperative for a large portion of enterprises, impacting their IT objectives and expectations, and likely leading to new engagements with service provides for help designing, building and operating hybrid environments.
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NTT Ltd.
Published By: Schneider Electric     Published Date: Nov 04, 2019
What is digital transformation? Why is everyone talking about it? And what can it do for me? Across every level of your company, people are asking themselves these questions. The Global Digital Transformation Benefits Report provides answers. It’s based on data points from over 230 cases of digital transformation from around the world, in data centers, buildings, infrastructure, and industry. The results paint a compelling picture of what digital transformation can do for businesses of all types. A selection of key findings: - On average, digital transformation helped our customers save 35% on engineering costs. - Our customers cut an average of 28% off their energy costs. - Digital transformation efforts drove productivity gains by an average of 24%.
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digital transformation, digital transformation in business, digital transformation in healthcare, iot, data centers, buildings, infrastructure, industry
    
Schneider Electric
Published By: SES     Published Date: Aug 01, 2019
Descubra cómo una empresa de comunicaciones está llevando conectividad a las zonas más remotas de Perú. Desde una flota de pesca costera hasta un poblado al que solo se puede acceder en avión, Axesat está entregando soluciones por satélite y cubertura 4G a zonas a las que antes era imposible llegar. El CEO de Axesat describe cómo, en asociación con SES Networks, la empresa puede aumentar el comercio y la conectividad en Perú.
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SES
Published By: Intel     Published Date: Nov 13, 2019
Intel® Select Solutions for BigDL on Apache Spark* accelerates and simplifies deep learning development and deployment on an optimized, verified infrastructure based on Apache Spark*. Intel® Select Solutions for BigDL on Apache Spark* combine Intel® Xeon® Gold processors, Intel® SSDs, and Intel® Ethernet Network Adapters to empower enterprises to quickly harness a reliable, comprehensive solution that delivers excellent total cost of ownership (TCO) and accelerated time to market.
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Intel
Published By: Intel     Published Date: Nov 14, 2019
Infrastructure considerations for IT leaders By 2020, deep learning will have reached a fundamentally different stage of maturity. Deployment and adoption will no longer be confined to experimentation, becoming a core part of day-to-day business operations across most fields of research and industries. Why? Because advancements in the speed and accuracy of the hardware and software that underpin deep learning workloads have made it both viable and cost-effective. Much of this added value will be generated by deep learning inference – that is, using a model to infer something about data it has never seen before. Models can be deployed in the cloud or data center, but more and more we will see them on end devices like cameras and phones. Intel predicts that there will be a shift in the ratio between cycles of inference and training from 1:1 in the early days of deep learning, to well over 5:1 by 2020¹. Intel calls this the shift to ‘inference at scale’ and, with inference also taking up
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Intel
Published By: Intel     Published Date: Nov 14, 2019
Evaluating an existing HPC platform for efficient AI-driven workloads The growth of artificial intelligence (AI) capabilities, data volumes and computing power in recent years mean that AI is now a serious consideration for most organizations. When combined with high-performance computing (HPC) capabilities, its potential grows even stronger. However, converging the two approaches requires careful thought and planning. New AI initiatives must align with organizational strategy. Then AI workloads must integrate with your existing HPC infrastructure to achieve the best results in the most efficient and cost- effective way. This paper outlines the key considerations for organizations looking to bring AI into their HPC environment, and steps they can take to ensure the success of their first forays into HPC/AI convergence.
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Intel
Published By: Juniper Networks     Published Date: Sep 26, 2019
"SD-WAN largely exists today to support two key enterprise transformations: multicloud and the software-defined branch (SD-Branch). Multicloud has changed the center of gravity for enterprise applications, and with that, has changed traffic patterns too. No longer does traffic need to flow to enterprise data center sites or central internet peering points and breakouts. That’s because most traffic from users and devices in the enterprise campus and branch today goes to cloud-based applications scattered across a host of clouds. It’s neither economical nor efficient to haul traffic over WAN-dedicated links to a central enterprise site. So to optimize the cost and performance of multicloud-bound traffic, modern WAN edge routers, often called customer premises equipment (CPE), are now equipped with hybrid WAN links and routing. Hybrid WAN interfaces may include WAN provider-dedicated links such as MPLS, as well as direct internet links over xDSL, broadband and 4G/LTE wireless."
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Juniper Networks
Published By: Juniper Networks     Published Date: Sep 26, 2019
"This Ovum white paper is sponsored by Juniper Networks. It reveals that organisations need to update and upgrade their cybersecurity postures to defend themselves against today's threats. More than 80% of organisations in Asia are not protected against today's threats. Many of them depend on security investments made years ago, which cannot defend against new and emerging threats. The arrival of new technologies including cloud computing, the Internet of Things, mobility, bring your own device (BYOD), and social media have massively increased attack surfaces and expanded the threat landscape. Over the past two years, there has been a global infestation of ransomware attacks, which have wrought destruction across a growing number of businesses. Crypto-jacking, attacks on critical infrastructure, and data exfiltration are now commonly affecting businesses and consumers alike. The financial impact of these attacks is increasing rapidly and has already cost some organisations hundreds o
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Juniper Networks
Published By: KPMG     Published Date: Jun 06, 2019
High-volume administrative tasks are a feature of every business. We helped a global bank develop a machine learning algorithm to help with the task of reviewing over 100,000 ‘sanctions alerts’ every day. Read this story to find out: • what other benefits AI can deliver beyond cost savings • how AI tools achieve greater accuracy than human reviewers • what it takes to apply AI and Machine Learning successfully in a regulated sector.
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KPMG
Published By: Google     Published Date: Nov 04, 2019
"McKinsey conducted a study of CIOs and CTOs of large enterprises from 17 industries. 80% said they hadn’t reached the agility their business needs due to costly trade-offs like sacrificing speed for security or preferred tools for uniformity. Get the report, “Unlocking business acceleration in a hybrid cloud world,” to discover the top perceived trade-offs and how some CIOs have avoided them and steps to unlock the next stage of your IT modernization journey
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cloud as a service, cloud computing, enterprise security, cloud infrastructure, cloud providers
    
Google
Published By: Dell EMC     Published Date: Oct 30, 2019
As data volumes grow larger every year, businesses that adopt more sophisticated approaches to storing and deriving value from that data benefit in terms of performance, scalability, and cost. How do you migrate effectively to the latest storage and infrastructure technologies, while also mitigating the associated disruption and risk? Download this overview from Dell EMC and Intel® to learn more.
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Dell EMC
Published By: CloudHealth by VMware     Published Date: Aug 22, 2019
A number of recent surveys indicate that cloud costs are becoming a major concern for businesses, many of whom have found cloud computing to be more expensive than they thought. The surveys align with Gartner’s 2017 prediction that “through 2020, 80% of businesses will overshoot their cloud infrastructure as a service (IaaS) budgets due to a lack of cost optimization approaches”. This could be due to a lack of understanding about cloud pricing, or a lack of knowledge about the full range of measures that can be taken to reduce cloud costs. The one area in which businesses are struggling to control costs more than any other is the hybrid cloud. Analysts attribute hybrid cloud overspend to the complexity of operating a private or public cloud in conjunction with an on-premises infrastructure. Businesses using VMware Cloud (VMC) on AWS don’t experience as much operational complexity in their hybrid environments, but they can still be guilty of overspending. This eBook will offer 6 Ways to
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CloudHealth by VMware
Published By: CloudHealth by VMware     Published Date: Aug 22, 2019
In today’s fast-moving, competitive environment, companies are migrating to Microsoft Azure to increase their agility and decrease their time to market. While the payoff for adopting Azure can be great, many are finding it difficult to reach the cloud and business success they originally hoped for. It’s common for organizations investing in Azure to encounter numerous roadblocks early in their cloud journey, including monthly bills exponentially higher than anticipated and underutilized resources. For organizations looking to reach cloud maturity—where cost and performance are optimized, security and compliance best practices are established, and one’s environment is governed by policy-driven automation—gaining control of their Azure infrastructure is crucial. The goal of this eBook is to help with just that. For those of considering Azure or who are currently in the migration phase of your Azure cloud journey, we offer insight and expert best practices to make the early stages of your
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CloudHealth by VMware
Published By: Google     Published Date: Nov 04, 2019
"ESG compared Google BigQuery’s serverless Enterprise data warehouses (EDW) solution with some alternative EDW services offered by AWS, Microsoft, and Snowflake. While all of these offerings provide significant cost savings, reduction in complexity, and increased business agility when compared with an on-premises EDW solution, there are some significant differences between the offerings. Read The Economic Advantages of Google BigQuery versus Alternative Cloud-based EDW Solutions to learn more. "
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database servers, cloud database, application infrastructure, cloud database, data integration
    
Google
Published By: Cisco and NVIDIA Corporation     Published Date: Oct 25, 2019
IT organizations are no longer just a business support function and cost center—they are expected to drive business as part of the core corporate strategy. Adding to this, IT landscapes continue to increase in complexity, complicating management and innovation. Digital transformation helps IT adapt to these changes. Building a hybrid or multi-cloud IT environment can help you transform successfully. An effective cloud environment can provide: • Improved infrastructure management and flexibility • More time for IT to focus on strategic projects rather than manage data centers. • Better IT cost management In fact, 49% of companies cite “modernized IT infrastructure and technologies with increased agility, flexibility, manageability, and security” as a digital initiative on their long-term roadmap. To learn more, download this eBook!
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Cisco and NVIDIA Corporation
Published By: Cisco and NVIDIA Corporation     Published Date: Oct 28, 2019
Le prestazioni e la distribuzione delle applicazioni sono cambiate. Anche la vostra rete dovrebbe cambiare? Il cloud sta modificando radicalmente le modalità con le quali i reparti IT distribuiscono le applicazioni e gestiscono le loro prestazioni. Oggi più che mai le applicazioni vengono distribuite ad utenti anche distanti, attraversando reti che sono al di fuori del controllo diretto dell’IT. Anziché nei datacenter aziendali, molte applicazioni ora risiedono in ambienti cloud pubblici e ibridi. Esistono persino nuove tipologie di applicazioni costruite su microservizi e container.
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Cisco and NVIDIA Corporation
Published By: TIBCO Software     Published Date: Jul 22, 2019
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. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
Today, you can improve product quality and gain better control of the entire manufacturing chain with data virtualization, machine learning, and advanced data analytics. With all relevant data aggregated, analyzed, and acted on, sensors, devices, people, and processes become part of a connected Smart Factory ecosystem providing: •? Increased uptime, reduced downtime •? Minimized surplus and defects •? Better yields •? Reduced cost due to better quality •? Fewer deviations and less non-conformance
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
Over the past decade there has been a major transformation in the manufacturing industry. Data has enabled a paradigm shift, with real-time IoT sensor data and machine learning algorithms delivering new insights for process and product optimization. Smart Manufacturing, also known as Industry 4.0, has laid the groundwork for the next industrial revolution. Using a smart factory system, all relevant data is aggregated, analyzed, and acted upon. We call this Manufacturing Intelligence, which gives decision-makers a competitive edge to: Digitize the business Optimize costs Accelerate innovation Survive digital disruption Watch this webinar to understand use cases and their underlying technology that helped our customers become smart manufacturers.
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
On-demand Webinar 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. Spe
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
Global producer of polycrystalline silicon for semiconductors, Hemlock Semiconductor needed to accelerate process optimization and eliminate cost. With TIBCO® Connected Intelligence, Hemlock achieved centralized, self-service, governed analysis; revenue gains; cost savings; and more. Fueled by double-digit growth in the markets it serves, Hemlock Semiconductor is adapting to the increasing commoditization within the polysilicon industry and better positioning itself to compete. A key factor in this plan is to equip process-knowledgeable personnel with the skills and tools to accelerate delivery of process optimizations and associated cost elimination. Hemlock turned to a TIBCO® Connected Intelligence solution to address the challenges. By implementing TIBCO Spotfire® and TIBCO® Streaming analytics, TIBCO® Data Science, and TIBCO® Data Virtualization, the company created more self-service analytics. Adding TIBCO BusinessWorks™ integration let the company realize the vision of connect
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TIBCO Software
Published By: PwC     Published Date: Sep 18, 2019
The traditional payer business model is fast becoming obsolete. Blues organizations that cling to the status quo or business as usual risk jeopardizing their reputations and business, because people are more than patients. Increasingly, employers are driving the growing demand for more solutions to engage customers. In response, healthcare incumbents and new entrants are building solutions to address rising costs and meet consumers’ demands for personalization, price transparency, access, and seamless, simple experiences. Proactive engagement can help your members lead healthier lives while improving outcomes for payers and other players. With 5% of Americans consuming 50% of healthcare costs, identifying and engaging high-risk, high-cost customer segments is essential to sustainability.
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PwC
Published By: Workday APAC     Published Date: Oct 07, 2019
Puma works in a highly competitive environment where they need to innovate, evolve and bring products to market quickly. So they chose Workday as they wanted to streamline their processes and replace their legacy HRIS with an intuitive solution at a reduced running cost.
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Workday APAC
Published By: Group M_IBM Q4'19     Published Date: Sep 26, 2019
In the Garage, you work side by side with IBM experts to create first-of-a-kind MVPs, experiment with emerging technologies and quickly learn from failures. In this webinar hear from Ed Forman, Partner of Cognitive Process Transformation at IBM. Ed has partnered with organizations across industries including automotive, life sciences, financial services and telecommunications. In his work with the IBM Garage he has helped shape an award-winning method for innovation that has transformed business models for Fortune 500 clients. Listen to this 30-minute presentation to find out more. "The mandate for procurement organizations is clear – cost reduction alone no longer ensures success; creating value is equally important. How was Horizon Blue Cross Blue Shield able to achieve their desired future state? In this webinar, we will discuss: • Why procurement needs a strategic makeover, the current adoption of emerging technologies by procurement, and the challenges faced by procurement exec
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Group M_IBM Q4'19
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