data manager

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Published By: Amazon Web Services EMEA     Published Date: Oct 17, 2019
Today, deep learning is at the forefront of most machine learning implementations across a broad set of business verticals. Driven by the highly flexible nature of neural networks, the boundary of what is possible has been pushed to a point where neural networks outperform humans in a variety of tasks, such as classifying objects in images or mastering video games in a matter of hours. This guide outlines the end-to-end deep learning process implemented on Amazon Web Services (AWS). We discuss challenges in executing deep learning projects, highlight the latest and greatest technology and infrastructure offered by AWS, and provide architectural guidance and best practices along the way. This paper is intended for deep learning research scientists, deep learning engineers, data scientists, data engineers, technical product managers, and engineering leaders.
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Amazon Web Services EMEA
Published By: Schneider Electric     Published Date: Oct 11, 2019
Colocation facilities are rapidly designing and building new facilities in order to capitalize on market opportunity. Getting the facility up and running is the first challenge. The second? Recruiting, training, and retaining qualified data center staff. In this webinar, co-hosted by Tony DeSpirito, VP & General Manager Data Center Operations at Schneider Electric, & Brian Gisi, Infrastructure Management & Services Manager at IBM, to access field-tested methods & strategies that can help you: 1. Overcome the worldwide shortage of experienced data center professionals 2. Understand how out-tasking data center operations can benefit you & your clients 3. Identify key characteristics of a strong data center operations partner
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data center, business growth, schneider electric
    
Schneider Electric
Published By: Forcepoint     Published Date: Oct 03, 2019
Accelerate Cloud App Adoption without Compromising Security How secure is your cloud data? Security is still seen as the biggest concern when organizations consider cloud services. In multi-cloud environments, every cloud service has its own security framework, different APIs and different authentication mechanisms. The key question is; how do you make sure you have a consistent security strategy across all your cloud services, that adjusts to different cloud services, is well managed, can adapt to new cloud services and is scalable? In this session Forcepoint Senior Product Marketing Manager, Ankur Chadda, discusses: How to gain full visibility into your cloud environment, including shadow IT Unified policy management and enforcement for on-premises and cloud security How to control cloud access by unmanaged devices (BYOD)
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Forcepoint
Published By: HERE Technologies     Published Date: Sep 26, 2019
Despite the greater frequency of extreme weather events occurring around the globe, freight still has to be delivered on time and on a year-round basis. Truck drivers often find themselves driving through rain, snow, sleet, hail, fog, ice, thunderstorms, tornadoes and high winds. While drivers aren't generally expected to stick to pre-planned routes in extreme weather, fleet managers don’t really have the capacity to outline every possible alternate route in anticipation of a future hazardous weather scenario. Data-driven route planning saves fuel, prevents accidents and improves ETAs, which is why many logistics companies are turning to advanced supply chain optimization solutions with real-time weather alerts and rerouting functionalities. Today, tech-savvy fleet managers are looking for exactly this type of tech innovations to provide them with a sharp competitive edge in an already crowded industry such as long-haul logistics. As one of the world's leading location platforms, HER
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HERE Technologies
Published By: Oracle     Published Date: Sep 26, 2019
When you unify data across your organisation, supply chain management and planning becomes more holistic and accurate. You get a real time view of supply and demand, with intelligent insights into new opportunities for business growth. This video explains the opportunities waiting for any supply chain manager who is ready to embrace connected data. Prepare for data leadership. Watch our video now.
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Oracle
Published By: Oracle     Published Date: Sep 25, 2019
When you unify data across your organisation, supply chain management and planning becomes more holistic and accurate. You get a real time view of supply and demand, with intelligent insights into new opportunities for business growth. This video explains the opportunities waiting for any supply chain manager who is ready to embrace connected data. Prepare for data leadership. Watch our video now.
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Oracle
Published By: Gigamon     Published Date: Sep 03, 2019
Dataflow is increasing at a rate unseen in history. Network managers are tasked with enabling massive quantities of new data in a secure and highly available fashion, all while facilitating access to new types of form factors and data stores. This challenge is often met with layers of networking hardware and tools resulting in a complex mess, or even worse, a culture of network protectionism that inhibits business innovation.
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Gigamon
Published By: MicroStrategy     Published Date: Aug 28, 2019
With trends such as big data, artificial intelligence and IoT dominating today’s business technology headlines, the buzz around enterprise mobility (now considered known and familiar) may have lessened, but its importance has not. Consider its key role in today’s top tech trends, and then also consider this. According to an Oxford Economics survey of 500 senior IT executives, CEOs, and other senior managers, 80% say workers cannot do their jobs effectively without a mobile device. The same survey shows: 82% say mobile devices are critical to employee productivity 82% say mobile devices are critical to agility and the speed of decision making 76% say mobile devices are critical to customer service and satisfaction 75% say mobile devices are critical to innovation and collaboration 70% say mobile devices are critical to employee satisfaction and 70% say mobile devices are critical to revenue growth. The known and familiar now demands a fresh look and focus from enterprise organizations a
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MicroStrategy
Published By: Forcepoint     Published Date: Jul 30, 2019
How secure is your cloud data? Security is still seen as the biggest concern when organizations consider cloud services. In multi-cloud environments, every cloud service has its own security framework, different APIs and different authentication mechanisms. The key question is; how do you make sure you have a consistent security strategy across all your cloud services, that adjusts to different cloud services, is well managed, can adapt to new cloud services and is scalable? In this session Forcepoint Senior Product Marketing Manager, Ankur Chadda, discusses: How to gain full visibility into your cloud environment, including shadow IT Unified policy management and enforcement for on-premises and cloud security How to control cloud access by unmanaged devices (BYOD)
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Forcepoint
Published By: AWS     Published Date: Jul 24, 2019
Join us to learn why Human-in-the-Loop training data should be powering your machine learning (ML) projects and how to make it happen. If you’re curious about what human-in-the-loop machine learning actually looks like, join Figure Eight CTO Robert Munro and AWS machine learning experts to learn how to effectively incorporate active learning and human-in-the-loop practices in your ML projects to achieve better results. You'll learn: When to use human-in-the-loop as an effective strategy for machine learning projects How to set up an effective interface to get the most out of human intelligence How to ensure high-quality, accurate data sets When: Available On Demand (please register to view) Who Should Attend: IT leaders and professionals, line-of-business managers, business decision makers, data scientists, developers, and other experts interested in implementing AI/ML on the cloud are encouraged to attend this webinar. AWS Speaker: Chris Burns, Solutions Architect Figure Eight Spea
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AWS
Published By: HERE Technologies     Published Date: Jul 11, 2019
Supply chain managers are increasingly leveraging location intelligence and location data to raise visibility throughout their whole logistics process and to optimize their delivery routes. Leveraging this data requires an ever-more-robust technology stack. As supply chain technology stacks become more complex, diverse and defined by legacy system integrations, Application Program Interfaces (APIs) are becoming essential to making stacks scale, allowing supply chain managers to better meet the demands of the new generation of consumers. Innovative location APIs provide supply chain stacks and applications with: Greater agility Contextual intelligence Real-time data implementation Speed Scale Introducing new technology into an organization can sometimes be daunting. As one of the world’s leading location platforms, HERE shares insights and tips to streamline the supply chain technology integration across the whole organization.
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here technologies, supply chain, mapping
    
HERE Technologies
Published By: Adobe     Published Date: Jun 26, 2019
The fight for customer attention is a daily struggle, but it doesn’t have to be. With a data management platform (DMP), you can be confident that the experiences you deliver are the ones your customers want and expect. Learn: o What a DMP can do for you o The three functions of a DMP o How Adobe Audience Manager can help
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Adobe
Published By: Google - SAP     Published Date: Jun 20, 2019
According to SiriusDecisions, 79% of companies miss their forecast by 10% or more. Pipeline management is often mismanaged and sales forecasting often off-base. Getting accurate and reliable information about the state of the deals in your pipeline is the key to a happy sales force. Accurate pipeline information also is the foundation of predictable and reliable sales forecasts. Wouldn’t a sales forecast that’s right all of the time be a boon to your organization? Download our new eBook “Pipeline Management and Forecasting are Key to Improving the Sales Experience” to find out how automated tools, AI, and clean data sets can help you as a sales manager to: ? Eliminate the mid-pipeline “black hole” and find out what’s really going on ? Use signals outside of your CRM to get scarily accurate deal opportunity scores and quarterly forecasts. ? Help align the customer journey with your sales process and get happy customers and happy sales reps
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Google - SAP
Published By: Dell EMEA     Published Date: Jun 14, 2019
The manufacturing industry has always been at the forefront of embracing new ways of doing things faster, smarter and better. Today, we’re at a fascinating inflection point. Industry 4.0 — a long-used term in manufacturing — has become increasingly mainstream, due to the availability of affordable IoT infrastructure, the desire to gain new business insights from data plus the arrival of advanced connectivity technologies, such as 5G. As a solution builder, you can help your manufacturing customers realize benefits in the era of new industrial revolution. We can help you manage data across the entire manufacturing process and supply chain, from the edge to the core to the cloud, speeding up you application development and compressing time to market. Our team of engineers and project managers are ready to help you design and build solutions on Tier 1 infrastructure to meet your unique requirements. Download this eBook to learn how to take advantage of Industry 4.0 and deliver Next Gen
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Dell EMEA
Published By: MicroStrategy     Published Date: Jun 11, 2019
The use of analytics has exploded across business, and the value it already has delivered has heightened executives' expectations. Now data can be processed in real time to meet a constantly widening range of analytic needs. How your organization utilizes them in the next decade will be essential to your success. These developments come at an opportune time. Organizations are being over-whelmed by the rivers of data generated by applications and systems on-premises or flowing in via the cloud. At the same time, the cost of computational power has declined dramatically, making it practical to apply analytics to and generate information on just about anything. But no advance comes without challenges. While the widespread availability of analytics has created seemingly valuable insights, executives and managers are finding that those insights are not easily linked to steps that will improve business outcomes or optimize actions. Furthermore, analytics are not always easy for line of b
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MicroStrategy
Published By: AWS     Published Date: Jun 11, 2019
Join us to learn why Human-in-the-Loop training data should be powering your machine learning (ML) projects and how to make it happen. If you’re curious about what human-in-the-loop machine learning actually looks like, join Figure Eight CTO Robert Munro and AWS machine learning experts to learn how to effectively incorporate active learning and human-in-the-loop practices in your ML projects to achieve better results. You'll learn: When to use human-in-the-loop as an effective strategy for machine learning projects How to set up an effective interface to get the most out of human intelligence How to ensure high-quality, accurate data sets When: Available On Demand (please register to view) Who Should Attend: IT leaders and professionals, line-of-business managers, business decision makers, data scientists, developers, and other experts interested in implementing AI/ML on the cloud are encouraged to attend this webinar. AWS Speaker: Chris Burns, Solutions Architect Figure Eight Spea
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AWS
Published By: Schneider Electric     Published Date: Jun 07, 2019
Implementing prefabricated modular data centers results in well-understood benefits including speed of deployment, predictability, scalability, and lifecycle cost. The process of deploying them – from designing the data center, to preparing the site, to procuring the equipment, to installation – is quite different than that of a traditional data center. This paper presents practical considerations, guidance, and results that a data center manager should expect from such a deployment.
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predictability, scalability, life cycle cost, schneider electric, - prefabricated data center, modular data center, data center design, data center manager
    
Schneider Electric
Published By: Domino Data Lab     Published Date: May 23, 2019
Lessons from the field on managing data science projects and portfolios The ability to manage, scale, and accelerate an entire data science discipline increasingly separates successful organizations from those falling victim to hype and disillusionment. Data science managers have the most important and least understood job of the 21st century. This paper demystifies and elevates the current state of data science management. It identifies best practices to address common struggles around stakeholder alignment, the pace of model delivery, and the measurement of impact. There are seven chapters and 25 pages of insights based on 4+ years of working with leaders in data science such as Allstate, Bayer, and Moody’s Analytics: Chapters: Introduction: Where we are today and where we came from Goals: What are the measures of a high-performing data science organization? Challenges: The symptoms leading to the dark art myth of data science Diagnosis: The true root-causes behind the dark art m
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Domino Data Lab
Published By: Zaloni     Published Date: Apr 23, 2019
Although data and analytics are highlighted throughout the popular press as well as in trade publications, too many managers think the value of this data processing is limited to a few numerically intensive fields such as science and finance. In fact, big data and the insights that emerge from analyzing it will transform every industry, from “precision farming” to manufacturing and construction. Governments must also be alert to the value of data and analytics as the enabler for smart cities. Institutions that master available data will leap ahead of their less statistically adept competitors through many advantages: finding hidden opportunities for efficiency, using data to become more responsive to clients, and developing entirely new and unanticipated product lines. The average time spent by most companies on the S&P 500 Index has decreased from an average of 60 to 70 years to only 22 years. There are winners and losers in the changes that come with the evolution of both technology
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Zaloni
Published By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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Group M_IBM Q2'19
Published By: Schneider Electric     Published Date: Mar 28, 2019
Implementing prefabricated modular data centers results in well-understood benefits including speed of deployment, predictability, scalability, and lifecycle cost. The process of deploying them – from designing the data center, to preparing the site, to procuring the equipment, to installation – is quite different than that of a traditional data center. This paper presents practical considerations, guidance, and results that a data center manager should expect from such a deployment.
Tags : 
predictability, scalability, life cycle cost, schneider electric, - prefabricated data center, modular data center, data center design, data center manager
    
Schneider Electric
Published By: Hitachi Vantara     Published Date: Mar 08, 2019
Today, data center managers are being asked to do more than ever before: Bring on more applications at a faster pace, add more capacity to existing applications and deliver more performance.
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Hitachi Vantara
Published By: Intel     Published Date: Feb 28, 2019
Keeping the lights on in a manufacturing environment remains top priority for industrial companies. All too often, factories are in a reactive mode, relying on manual inspections that risk downtime because they don’t usually reveal actionable problem data. Find out how the Nexcom Predictive Diagnostic Maintenance (PDM) system enables uninterrupted production during outages by monitoring each unit in the Diesel Uninterrupted Power Supplies (DUPS) system noninvasively. • Using vibration analysis, the system can detect 85% of power supply problems before they do damage or cause failure • Information processing for machine diagnostics is done at the edge, providing real-time alerts on potential issues with ample of lead time for managers to rectify • Graphic user interface offers visual representation and analysis of historical and trending data that is easily consumable
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Intel
Published By: Dell EMC     Published Date: Feb 14, 2019
Today's dynamic data demands pose new threats to security and IT professionals have to mitigate new risks without restricting the flow of information. Per findings discovered in a recent Forrester report, "Evolving Security to Accommodate the Modern Worker", Brett Hansen, Dell's Vice President of Client Software and General Manager of Data Security, shares his insights on solutions Dell provides to meet the needs of employees and IT. Download this article from Dell and Intel® to learn: • What IT departments can do to tailor security solutions to different users • How flexible security can be to address the needs of various workers • Which solutions are best at protecting your data
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Dell EMC
Published By: Oracle     Published Date: Jan 28, 2019
Oracle Private Cloud Appliance is a converged infrastructure system designed for rapid and simple deployment of private cloud at an industry-leading price point. Whether customers are running Linux, Microsoft Windows or Oracle Solaris applications, Oracle Private Cloud Appliance supports consolidation for a wide range of mixed workloads in medium-to-large sized data centers. High-performance, low-latency Oracle Fabric Interconnect and Oracle SDN allow automated configuration of the server and storage networks. The embedded controller software automates the installation, configuration, and management of all infrastructure components at the push of a button. Customers need to enter only basic configuration parameters and create virtual machines (VMs) manually or by using Oracle VM Templates to get a full application up and running in a few hours. With Oracle Enterprise Manager, the Oracle Private Cloud Appliance is transformed into a powerful private cloud infrastructure that integrates
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Oracle
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