autonomous

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Published By: Here Technologies     Published Date: Sep 27, 2018
Location has become paramount to building new apps, services, experiences and business models. If data is the new oil, then location is the crude oil. This is why most of the top location platform players have been developing technologies to power next-generation autonomous mobility systems. And the “richness” of location data and real-time intelligence are becoming strong monetization opportunities. The 2018 Counterpoint Research Location Ecosystems Update compared 16 location platform vendors, including Google, TomTom and Mapbox. Learn why the HERE Open Location Platform – described as super-rich, always up-to-date, and a neutral offering – is a leader in the location data arena.
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Here Technologies
Published 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
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"Managing infrastructure has always brought with it frustration, headaches and wasted time. That’s because IT professionals have to spend their days, nights and weekends dealing with problems that are disruptive to their applications and organization and manually tune their infrastructure. And, the challenges increase as the number of applications and reliance on infrastructure continues to grow. Luckily, there is a better way. HPE InfoSight is artificial intelligence (AI) that predicts and prevents problems across the infrastructure stack and ensures optimal performance and efficient resource use. "
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: May 04, 2018
Managing infrastructure has always brought with it frustration, headaches and wasted time. That’s because IT professionals have to spend their days, nights and weekends dealing with problems that are disruptive to their applications and organization and manually tune their infrastructure. And, the challenges increase as the number of applications and reliance on infrastructure continues to grow. Luckily, there is a better way. HPE InfoSight is artificial intelligence (AI) that predicts and prevents problems across the infrastructure stack and ensures optimal performance and efficient resource use.
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Hewlett Packard Enterprise
Published By: Oracle     Published Date: Nov 28, 2017
Today’s leading-edge organizations differentiate themselves through analytics to further their competitive advantage by extracting value from all their data sources. Other companies are looking to become data-driven through the modernization of their data management deployments. These strategies do include challenges, such as the management of large growing volumes of data. Today’s digital world is already creating data at an explosive rate, and the next wave is on the horizon, driven by the emergence of IoT data sources. The physical data warehouses of the past were great for collecting data from across the enterprise for analysis, but the storage and compute resources needed to support them are not able to keep pace with the explosive growth. In addition, the manual cumbersome task of patch, update, upgrade poses risks to data due to human errors. To reduce risks, costs, complexity, and time to value, many organizations are taking their data warehouses to the cloud. Whether hosted lo
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Oracle
Published By: HP Enterprise Business     Published Date: Jan 27, 2017
Watch this webinar to learn how to build an autonomous IT Operations using HPE Operations Bridge
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HP Enterprise Business
Published By: Hewlett Packard Enterprise     Published Date: Aug 23, 2018
Managing infrastructure has always brought with it frustration, headaches and wasted time. That’s because IT professionals have to spend their days, nights and weekends dealing with problems that are disruptive to their applications and organization and manually tune their infrastructure. And, the challenges increase as the number of applications and reliance on infrastructure continues to grow. Luckily, there is a better way. HPE InfoSight is artificial intelligence (AI) that predicts and prevents problems across the infrastructure stack and ensures optimal performance and efficient resource use.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"Managing infrastructure has always brought with it frustration, headaches and wasted time. That’s because IT professionals have to spend their days, nights and weekends dealing with problems that are disruptive to their applications and organization and manually tune their infrastructure. And, the challenges increase as the number of applications and reliance on infrastructure continues to grow. Luckily, there is a better way. HPE InfoSight is artificial intelligence (AI) that predicts and prevents problems across the infrastructure stack and ensures optimal performance and efficient resource use. "
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Hewlett Packard Enterprise
Published By: CA Technologies     Published Date: Sep 25, 2017
Despite talented IT teams and years of head start in both architectural and development work, it is still difficult to respond to these challenges using traditional development patterns centered around monolithic software applications. It’s simply impossible to get to market quickly when applications need to be maintained, modified and scaled as a single entity by a large, heavily inter-dependent team.
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scaling, messaging, communication, autonomously, decentralized, automated, ca technologies
    
CA Technologies
Published By: Senn Delaney     Published Date: Sep 05, 2008
It's become a business imperative to maximize operational effectiveness, trim costs, standardize and streamline processes, achieve economies of scale and increase competitive advantage. Today's most successful leaders do this in a way that balances the greater good of the enterprise with the competing demands of their autonomous businesses that must respond to the individual needs of their markets. A more collaborative model that helps leaders of complex businesses to maximize effectiveness is gaining traction. Four prominent business leaders discuss their challenges and successes in shifting to this shared business model.
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senn delaney, customer focused, brand management, customer-centric, employee management, employee engagement
    
Senn Delaney
Published By: Patsnap     Published Date: Jul 25, 2016
Using the hot topic of driverless cars, we've looked at how open innovation is transforming a traditional industry, and at what the IP strategies of the big auto players - old and new - can tell us.
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autonomous cars, automotive industry, toyota, google, ford, automotive, self-driving car, autonomous driving
    
Patsnap
Published By: JBoss Developer     Published Date: Oct 21, 2016
Microservices architecture is a new architectural style for creating loosely coupled but autonomous services. Emerging trends in technology—such as DevOps, Platform-as-a-Service (PaaS), containers, and continuous integration and delivery (CI/CD) methods—let organizations create and manage these modular systems on an unprecedented scale that exceeds earlier approaches like service-oriented architecture (SOA). But organizations that refactor monolithic applications into microservices experience widely varying degrees of success. The key to using microservices effectively is a solid understanding of how and why organizations should use microservices to build applications
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microservices, architecture, java, paas, soa
    
JBoss Developer
Published By: Pure Storage     Published Date: Jan 12, 2018
Everybody’s talking about big data. Huge promises have been made about its role in driving enterprises forward. But few organizations are realizing its true benefits. For those able to put data to good use, there’s much to be excited about. Data is transforming not only businesses, but entire industries, and the world as we know it. Today organizations are harnessing big data to do things like transform healthcare, provide eyesight for the visually impaired, and bringing us closer to autonomous cars
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automated intelligence, data, industry, autonomous, industrial, pure storage
    
Pure Storage
Published By: Juniper Networks     Published Date: Aug 21, 2017
This white paper, the first in a two-part series titled The Self-Driving Network, introduces Juniper’s vision for the future of autonomous networking.
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Juniper Networks
Published By: Pure Storage     Published Date: Apr 18, 2018
Everybody’s talking about big data. Huge promises have been made about its role in driving enterprises forward. But few organizations are realizing its true benefits. For those able to put data to good use, there’s much to be excited about. Data is transforming not only businesses, but entire industries, and the world as we know it. Today organizations are harnessing big data to do things like transform healthcare, provide eyesight for the visually impaired, and bringing us closer to autonomous cars
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Pure Storage
Published By: Red Hat     Published Date: Jan 02, 2018
Microservices architecture is a new architectural style for creating loosely coupled but autonomous services. Emerging trends in technology—such as DevOps, Platform-as-a-Service (PaaS), containers, and continuous integration and delivery (CI/CD) methods—let organizations create and manage these modular systems on an unprecedented scale that exceeds earlier approaches like service-oriented architecture (SOA). But organizations that refactor monolithic applications into microservices experience widely varying degrees of success. The key to using microservices effectively is a solid understanding of how and why organizations should use microservices to build applications.
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Red Hat
Published By: Milliman     Published Date: Sep 07, 2016
Read this whitepaper to learn why manufacturers of autonomous vehicles should be making a Supplier Product Liability Autonomous Share (SPLASh) pool to manage risk.
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autonomous vehicles, splash, risk management, auto market, original equipment manufacturers, insurance risk, insurance
    
Milliman
Published By: Oracle     Published Date: Apr 16, 2018
Lançado no Oracle Open World 2017, o Oracle Autonomous Database Cloud utiliza um revolucionário modelo de machine learning para habilitar a automação que elimina erros humanos e ajustes manuais, resultando em alto desempenho, disponibilidade de armazenamento e segurança a um custo muito mais baixo. Saiba como ele funciona e por que adotá-lo!
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proxima, geracao, banco, dados, lider, setor, acaba
    
Oracle
Published By: SafeNet     Published Date: Oct 06, 2010
Only by unlinking your encryption strategy from your network architecture can you implement a totally secure, full performance, high speed Ethernet WAN.
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safenet, high speed ethernet wan, network security, autonomous encryption architecture, tco, compliance, data privacy, information risk management
    
SafeNet
Published By: Safenet     Published Date: Oct 11, 2010
Only by unlinking your encryption strategy from your network architecture can you implement a totally secure, full performance, high speed Ethernet WAN.
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safenet, high speed ethernet wan, network security, autonomous encryption architecture, tco, compliance, data privacy, information risk management
    
Safenet
Published By: Aerohive     Published Date: Feb 06, 2008
Craig Mathias, Principal of the Farpoint Group, explores the advent of cooperative control, an innovative new class of wireless infrastructure from Aerohive Networks. Aerohive’s cooperative control architecture gives you all of the benefits of autonomous access points and controller-based infrastructures, without the high OPEX or CAPEX associated with either approach. Cooperative control architecture represents an innovative approach to wireless LAN systems, one that incorporates a number of interesting features and corresponding benefits.
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wireless lan, wlan, wireless architecture, wireless infrastructure, aerohive, wifi, wi-fi
    
Aerohive
Published By: Aerohive     Published Date: Feb 06, 2008
Are you looking to reduce the operational cost of your existing wireless LAN, and to make it support mission-critical, real-time applications and 802.11n? At the same time, are you challenged with the cost and complexity associated with most next-generation wireless LAN architectures? Check out the enterprise-class, cost-effective new cooperative control architecture from Aerohive Networks. In this real-world case study, you’ll see how Aerohive Networks' cooperative control architecture combines the linear cost modeling of autonomous APs and the operational advantages of controller-based approaches.
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business, roi, tco, wireless lan, enterprise wireless, economics, cooperative control, aerohive, aerohive networks
    
Aerohive
Published By: Liaison Technologies     Published Date: Feb 07, 2014
Big Data holds the promise of a virtually unlimited ability to gain insight – and foresight – to sharpen strategies and improve tactical execution but only if it can be harnessed and managed. Through this whitepaper, you can learn how.
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liaison, data integration, data management, it resources, business continuity, systems and processes, autonomous acquisitions, information segregation, integration scope, internal resources, hybrid-type, m&a, data processes, it infrastructure, enterprise data, enterprise trends, productivity, hybrid acquisitions, integration phase
    
Liaison Technologies
Published By: Avi Networks     Published Date: Mar 17, 2016
Software-defined architectures have transformed enterprises to become more application-centric. With application owners seeking public-cloud-like simplicity and flexibility in their own data centers, IT teams are under pressure to reduce wait times to provision applications. Legacy load balancing solutions force network architects and administrators to purchase new hardware, manually configure virtual services, and inefficiently overprovision these appliances. Simultaneously, new infrastructure choices are also enabling applications to be re-architected into autonomous microservices from monolithic or n-tier constructs. These transformations are forcing organizations to rethink load balancing strategies and application delivery controllers (ADCs) in their infrastructure.
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avi networks, load balancing strategy, best practices, software defined architecture, application centric, application performance, application services, application delivery controller, automation
    
Avi Networks
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