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By: Larsen & Toubro Infotech(LTI)     Published Date: Mar 28, 2019
Leading medical devices company were facing business continuity post acquisition, thereby increasing maintenance costs accordingly. LTI proposed to implement Oracle Fusion Cloud which helped in faster and minimal requirement of technical manpower. Download complete case study.
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     Larsen & Toubro Infotech(LTI)
By: Dell EMC Storage     Published Date: Mar 27, 2019
This ESG Technical Review documents evaluation of Dell EMC Ready Solutions for AI. We focused on understanding the performance and ease of use of the Ready Solutions for AI with optimized designs for machine learning and deep learning. To validate the full stack performance, we measured the number of images per second processed when training the AlexNet and ResNet50 deep learning networks and evaluated how the integrated solutions can simplify and accelerate AI deployment. The Deep Learning with NVIDIA design featuring Isilon significantly outperformed the competition in training time, delivering 2.9 times the performance of one competitor for an AlexNet deep learning neural network in a GPU accelerated environment and 2.3 times another competitor for a ResNet50 deep learning neural network.
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     Dell EMC Storage
By: Dell EMC     Published Date: Mar 27, 2019
This ESG Technical Review documents evaluation of Dell EMC Ready Solutions for AI. We focused on understanding the performance and ease of use of the Ready Solutions for AI with optimized designs for machine learning and deep learning. To validate the full stack performance, we measured the number of images per second processed when training the AlexNet and ResNet50 deep learning networks and evaluated how the integrated solutions can simplify and accelerate AI deployment. The Deep Learning with NVIDIA design featuring Isilon significantly outperformed the competition in training time, delivering 2.9 times the performance of one competitor for an AlexNet deep learning neural network in a GPU accelerated environment and 2.3 times another competitor for a ResNet50 deep learning neural network.
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     Dell EMC
By: Red Hat     Published Date: Mar 26, 2019
The rise of digital platforms and their rapid adoption by customers has created significant opportunities for financial service organizations. Industry leaders are capturing additional revenue streams and creating new value chains by investing in this distribution channel. Regulators are also encouraging participation in open banking through either guidance or mandate, aiming to improve competition in the financial services marketplace. Lastly, the pace of technical innovation is reducing the barrier to market entry, driving interest in open banking by incumbents and challengers alike. However, the full value of open banking might be not always be so clear. Below are five benefits for organizations that embrace open banking.
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     Red Hat
By: Rackspace     Published Date: Mar 26, 2019
There are companies of all sizes reinventing themselves on AWS every day – and this whitepaper covers the commonest application migration challenges encountered by many Rackspace customers in their transformation exercise. Also highlighted are the technical approaches and best practices that Rackspace helps them to implement to smoothen the ride to the cloud. For IT professionals involved in the digital transformation of critical business applications, this is a must-read prior to the migration of production workloads to AWS.
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     Rackspace
By: Mimecast     Published Date: Mar 19, 2019
An Executive Strategy Guide Brought To You By The Cyber Resilience Think Tank Big budget or not, CISOs must make threat intelligence a priority and learn how to focus on only the data that matters—data that will help mitigate future risks. Though the technical definition of threat intelligence may change depending on who you ask, one factor remains constant: If threat intelligence isn’t part of your cyber resilience strategy in some capacity, you have a massive gap on your hands. And you may be blindsided by a phishing attack, malware incident or worse. Read this Cyber Resilience Think Tank executive strategy guide to develop a plan to architect a threat intelligence program in your organization.
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     Mimecast
By: 3M     Published Date: Mar 19, 2019
The intent of this technical bulletin is to summarize and clarify the respiratory protection guidance from both USP and NIOSH for workers who handle hazardous drugs in the healthcare environment. Download now to learn more.
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     3M
By: Alibaba Cloud SEA     Published Date: Mar 11, 2019
Many businesses are adopting a multi-cloud infrastructure. However, managing data and communication between multiple cloud environments is often challenging and complex. Therefore, companies often try to find a technical partner that can help them. Companies with on-premise data centers need some type of interconnect to access their products and services hosted on the cloud. The traditional Virtual Private Network (VPN) connection method usually can’t meet enterprise speed,stability, security, and compliance requirements.This whitepaper describes the challenges that companies face when building dedicated connections between different cloud environments and how Alibaba Cloud’s Express Connect is the perfect solution for them
Tags : data center, cloud computing, networking, security, china, global expansion
     Alibaba Cloud SEA
By: Hitachi Vantara     Published Date: Mar 08, 2019
In a perfect world, downtime would be a thing of the past, however, as organizations continue their digital transformation journeys, more data assets are being created—generating, in turn, higher availability demands. Delivering on availability service levels is not just a technical responsibility, but also a business imperative extending well beyond IT. The consequences of failing to meet service levels can be dire and costly. Read this white paper to learn how the right tools can minimize downtime.
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     Hitachi Vantara
By: Equinix APAC     Published Date: Feb 25, 2019
The Edge Completes the Cloud Edge computing delivers the decentralized complement to today’s hyperscale cloud and legacy data centers. To maximize application potential and user experience, enterprise architects and technology innovation leaders need to plan distributed computing solutions. Enabling this thinking is that although the cloud is becoming mainstream, that does not imply that all workloads will be placed in the cloud during the next decade or so. Technical incompatibilities, decades of embedded business logic in mainframe applications, government regulations and simple economics all conspire to keep some workloads out of the cloud, driving us toward a hybrid multi cloud future.
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     Equinix APAC
By: Trifacta     Published Date: Feb 12, 2019
In recent years, a new term in data has cropped up more frequently: DataOps. As an adaptation of the software development methodology DevOps, DataOps refers to the tools, methodology and organizational structures that businesses must adopt to improve the velocity, quality and reliability of analytics. Widely recognized as the biggest bottleneck in the analytics process, data preparation is a critical element of building a successful DataOps practice by providing speed, agility and trust in data. Join guest speaker, Forrester Senior Analyst Cinny Little, for this latest webinar focusing on how to successfully select and deploy a data preparation solution for DataOps. The presentation will include insights on data preparation found in the Forrester Wave™: Data Preparation Solutions, Q4 2018. In this recorded webinar you will learn: • Where does data preparation fit within DataOps • What are the key technical & business differentiators of data preparation solutions • How to align the righ
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     Trifacta
By: Attunity     Published Date: Feb 12, 2019
This technical whitepaper by Radiant Advisors covers key findings from their work with a network of Fortune 1000 companies and clients from various industries. It assesses the major trends and tips to gain access to and optimize data streaming for more valuable insights. Read this report to learn from real-world successes in modern data integration, and better understand how to maximize the use of streaming data. You will also learn about the value of populating a cloud data lake with streaming operational data, leveraging database replication, automation and other key modern data integration techniques. Download this whitepaper today for about the latest approaches on modern data integration and streaming data technologies.
Tags : streaming data, cloud data lakes, cloud data lake, data lake, cloud, data lakes, streaming data, change data capture
     Attunity
By: Attunity     Published Date: Feb 12, 2019
Read this technical whitepaper to learn how data architects and DBAs can avoid the struggle of complex scripting for Kafka in modern data environments. You’ll also gain tips on how to avoid the time-consuming hassle of manually configuring data producers and data type conversions. Specifically, this paper will guide you on how to overcome these challenges by leveraging innovative technology such as Attunity Replicate. The solution can easily integrate source metadata and schema changes for automated configuration real-time data feeds and best practices.
Tags : data streaming, kafka, metadata integration, metadata, data streaming, apache kafka, data integration, data analytics
     Attunity
By: Domino Data Lab     Published Date: Feb 08, 2019
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.
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     Domino Data Lab
By: Tenable     Published Date: Jan 25, 2019
"This Gartner report charts your course to the future of information security with Gartner’s “continuous adaptive risk and trust assessment” (CARTA) as your guide. This reports highlights a need for security and risk management leaders to embrace a strategic approach where security is adaptive, everywhere, all the time. Gartner calls this strategic approach ""continuous adaptive risk and trust assessment,"" or CARTA. By reading “Seven Imperatives to Adopt a CARTA Strategic Approach,” you will gain insight into CARTA and better understand the people, process and technical changes it calls for, including: -Replacing one-time security gates with adaptive, context-aware security platforms. -Continuously discovering, monitoring, assessing and prioritizing risk and trust — reactively and proactively. -Performing risk and trust assessments early in digital business initiatives, including development. -Instrumenting for comprehensive, full-stack visibility, including sensitive data handling.
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     Tenable
By: Tenable     Published Date: Jan 25, 2019
"This whitepaper from the SANS Institute focuses on the growing use and benefits derived from information technology (IT) and operational technology (OT) convergence which includes more effective management and operation of contemporary control systems. IT/OT convergence carries unique challenges that make managing and securing an industrial control system (ICS) more difficult. This is due to greater technical complexity, expanded risks and new threats to more than just business operations. This paper explores the issues that arise with the blending of IT and OT into combined cyber-physical systems where risks must be identifed and managed. Download this report to get answers to these questions: -Why are digital asset inventories critical for IT/OT security risk management? -How does knowledge about risks and vulnerabilities to IT/OT systems lead to better risk management? -Can applying even a few of Center for Internet Security (CIS) Controls make a marked difference in the securit
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     Tenable
By: Lenovo and Intel®     Published Date: Jan 15, 2019
A private cloud delivers control, security and customization–which are non-negotiable criteria for many businesses. But for those undeniable benefits, private cloud environments come at a cost, requiring significant initial and ongoing investment of both capital and human resources, as well as requiring expert technical support for architecting and upkeep. In this study by Principled Technologies, read how the highly automated Lenovo ThinkAgile CP composable cloud solution, powered by the Intel® Xeon® Platinum processor, deliver key private cloud benefits while remaining cost effective, rapid to deploy, and simple to manage.
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     Lenovo and Intel®
By: TIBCO Software GmbH     Published Date: Jan 15, 2019
Whether you know it as Industry 4.0, the 4th Industrial Revolution, or Smart Industry, Manufacturing is going through a deep transformation, with changes that are centered around digitalization. While most industries are already on this digitalization path, the disruption is more visible and pronounced in manufacturing because it is expanding virtual data and processes into environments that have been fundamentally about physical products. This transformation has already started, and its impact is expected to be massive. Technical, economic, and social changes are expected across the whole manufacturing ecosystem, with jobs shifting from offshoring back to nearshoring. Strong technology elements driving this digital revolution include 3D printing, robotizing and automation, smart factory with IoT and machine learning, and supply chain digitization. Their impact is profound.
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     TIBCO Software GmbH
By: TIBCO Software GmbH     Published Date: Jan 15, 2019
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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     TIBCO Software GmbH
By: SAS     Published Date: Dec 20, 2018
Think of the self-service things you use in a day. Gas pumps. ATMs. Online apps for shopping. They’re convenient and easy to use. People choose what they want, when they want – without involving others in their minute-to-minute decisions. What if your organization could treat data discovery and analytics the same way? SAS has combined two of its visual solutions to do just that. SAS Visual Analytics and SAS Visual Statistics share the same web-based interface to provide self-service data exploration and easy-to-use interactive predictive analytics in a collaborative environment. This white paper takes a look at this convergence and outlines how these products can be used together so that everyone, even nontechnical users, can investigate data on their own, create analytical models and uncover new insights that drive competitive differentiation. Your analytics journey just got a lot easier.
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     SAS
By: SAS     Published Date: Dec 20, 2018
There’s no shortage of data scientist interview questions available online. You can find lists and lists of questions to ask data scientist recruits in an interview, but most of the questions focus on the technical and quantitative aspects of the job without considering the softer skills. Our list takes a different approach. If you’re hiring a data scientist, we recommend focusing on more than technical skills, and your interview questions should reflect that. Data scientists have a unique blend of skills; not only do they solve problems by squeezing information out of data, they also communicate results and persuade others to apply that information to their decisions. Remember that data scientists aren’t just ninja quantitative analysts, says Wayne Thompson, Chief Data Scientist at SAS. “You’re looking for more than technical skills. Logical reasoning agility, along with storyboarding skills are critical because these scientists must be able to solve problems iteratively in collabo
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     SAS
By: Cisco     Published Date: Dec 20, 2018
Cisco® Collaboration Flex Plan gives you access to Cisco’s collaboration products, allowing you to mix and match buying models and deployment models in a single subscription depending on your buying needs. One subscription covers entitlement and technical support for: (a) the cloud services Cisco Webex® Meetings, Cisco Webex Calling, Cisco BroadCloud Calling, and Cisco Webex Teams and (b) the software Cisco Unified Communications Manager and Cisco Meeting Server.
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     Cisco
By: Workday APAC     Published Date: Dec 11, 2018
SaaS and clourl-enabled ERP systems are the de facto replacement for legacy on-premises ERP systems. Organizations have spent millions on outdated legacy ERP systems over die decades., creating a technical debt that is a nightmare to untangle. Most of these antiquated systems are over 1 0 years old, predate current ecommerce systems, and are not able to work within the digital economy. With the advent of the digital age, businesses need a new digital core that includes Saa5 and cloud-enabled ERP sofrware.
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     Workday APAC
By: Pure Storage     Published Date: Dec 05, 2018
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence (AI). With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists are tackling new use cases like autonomous driving vehicles and natural language processing. Read this technical white paper to learn reasons for and benefits of an end-to-end training system. It also shows performance benchmarks based on a system that combines the NVIDIA® DGX-1™, a multi-GPU server purpose-built for deep learning applications and FlashBlade, a scale-out, high performance, dynamic data hub for the entire AI data pipeline.
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     Pure Storage
By: Ahead     Published Date: Nov 30, 2018
Over the past seven years, we’ve surveyed more than 30,000 technical professionals around the world to explore the relationships between IT performance, DevOps practices, culture, organizational performance and other elements that affect business outcomes. In the process, we’ve built the deepest and most widely referenced body of DevOps research available. The 2018 State of DevOps Report breaks new ground in our understanding of the DevOps evolutionary journey. We have identified the five distinct stages of DevOps evolution, and the critical practices at each stage that help you achieve success and progress to the next phase of your journey.
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     Ahead
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