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Results 251 - 275 of 3395Sort Results By: Published Date | Title | Company Name
Published By: Avalara     Published Date: Jan 28, 2014
Sales tax compliance and the CFO: What automation means for risk management conveys why it’s time C-level executives should take a closer look at how sales tax is managed within their organizations. This report highlights what finance and accounting professionals know (and don’t know) about managing sales tax, and more importantly, why risk of non-compliance is more important in this legislative climate. This report draws upon a recent study by Wakefield Research, which investigates what leading and emerging companies in the U.S. know about sales tax compliance — and, more importantly — what the accounting and finance professionals in the trenches are doing to safeguard their organizations from potential audits and accounting pitfalls. Download this White Paper for more information.
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sales tax, tax liability, internet sales tax, best practices
    
Avalara
Published By: Avaya     Published Date: Nov 21, 2017
In an industry like automobile sales and service, responsiveness can easily mean the difference between a service appointment, a large-ticket sale – or a customer taking their business elsewhere. Despite its reputation for meeting and exceeding customer needs, Voss Auto Network was using an aging communications system. The network of dealerships, including eight locations across Ohio, serves over 500 employees. Getting calls even when “walking the lot,” quickly retrieving voicemails, and having the ability to easily track missed calls all proved key to taking customer service, sales, and repeat business to the next level.
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Avaya
Published By: Avaya     Published Date: Nov 27, 2017
In an industry like automobile sales and service, responsiveness can easily mean the difference between a service appointment, a large-ticket sale – or a customer taking their business elsewhere. Despite its reputation for meeting and exceeding customer needs, Voss Auto Network was using an aging communications system. The network of dealerships, including eight locations across Ohio, serves over 500 employees. Getting calls even when “walking the lot,” quickly retrieving voicemails, and having the ability to easily track missed calls all proved key to taking customer service, sales, and repeat business to the next level.
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Avaya
Published By: Avetta     Published Date: Sep 17, 2019
In the beginning of 2019, a National Safety Council (NSC) study revealed that for the first time in US recorded history, the odds of dying from an opioid overdose (1:96) surpassed those of dying in an auto accident (1:103). As a result, opioid overdoses are now the number one cause of preventable injury deaths in the United States. The growing trend of opioid-related workplace incidents is a major concern for supply chains across the world. In fact, a recent study by Massachusetts Department of Public Health shows higher opioid overdose incidents occurring in industries that have a higher chance of worker-related injury. Among these, construction and manufacturing are the two industries most heavily affected. This whitepaper discusses tips for dealing with the opioid epidemic and gives clarity around OSHA drug testing regulations.
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Avetta
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, networking
    
Avi Networks
Published By: Avi Networks     Published Date: Mar 17, 2016
A five-year-long quest for software-defined application delivery and services came to a fruitful end for this $4 billion enterprise when they chose Avi Networks and Cisco ACI as part of their move to a next generation data center architecture. Avi Networks represented the perfect complement to the network automation benefits delivered by Cisco ACI at the company.
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avi networks, cisco, aci, application services, software defined application delivery, data center architecture, load balancing, networking, enterprise applications
    
Avi Networks
Published By: Avi Networks     Published Date: Mar 24, 2016
This buyer’s guide for load balancers is based on research, best practices, and conversations with network administrators and IT operations teams at over 110 Global 2000 enterprises. It presents guidelines for choosing application services that mirror the needs of modern data centers and public cloud initiatives. The guide is organized in sections, starting with a pre-assessment of your current application delivery capabilities. With data gathered from your pre-assessment, you can review the considerations involved in creating a software-defined application services strategy; identify opportunities to improve automation of application services and operations. Finally, use the software-defined application services checklist at the end of the guide to identify key priorities in your choice of application service solutions for your enterprise.
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avi networks, best practices, application services, modern data centers, public cloud initiatives, load balancer, load balancing, application delivery, application delivery controller, adc, software-defined networks, sdn, networking, it management
    
Avi Networks
Published By: Avi Networks     Published Date: Mar 07, 2018
A new ZK Research study reveals significant shifts in application delivery practices as enterprises are automating or adopting cloud-native applications. In the process of modernizing their infrastructure, enterprises are addressing on-demand scalability requirements, improving management, and lowering costs. This study discusses: - Enterprise preferences for their next load balancers - Capabilities that are most sought after by network teams - How businesses are preparing for hybrid and multi-cloud environments Download Legacy Hardware-Based ADCs: Are Companies Holding Back?
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Avi Networks
Published By: Avi Networks     Published Date: Aug 17, 2018
Flexible infrastructure choices and application architectures are changing the way that modern enterprises run their computing. Enterprises have become application-centric, investing significant effort and resources on continuous delivery goals and DevOps practices to achieve automation of routine IT and operations tasks. With application owners seeking public-cloud-like simplicity and agility in their own data centers, IT teams are under pressure to reduce wait times to provision applications and updates.
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Avi Networks
Published By: Avi Networks     Published Date: Aug 17, 2018
This whitepaper details how ADCs and virtual appliances are inflexible, expensive, and lacking in visibility in contrast to the central management, autoscaling features, intelligent analytics, and flexibility offered by the Avi Vantage Platform. This document also outlines 7 key considerations that you should evaluate before you refresh your current load balancers: 1. Automation and Self-Service 2. Elasticity 3. Applica tion Analytics and Troubleshooting 4. Performance 5. Hybrid Cloud 6. Ecosystem Integrations 7. Total Cost of Ownership
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Avi Networks
Published By: Avi Networks     Published Date: Mar 06, 2019
OpenShift-Kubernetes offers an excellent automated application deployment framework for container-based workloads. Services such as traffic management (load balancing within a cluster and across clusters/regions), service discovery, monitoring/analytics, and security are a critical component of an application deployment framework. Enterprises require a scalable, battle-tested, and robust services fabric to deploy business-critical workloads in production environments. This whitepaper provides an overview of the requirements for such application services and explains how Avi Networks provides a proven services fabric to deploy container based workloads in production environments using OpenShift- Kubernetes clusters.
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Avi Networks
Published By: Avi Networks     Published Date: Mar 06, 2019
Modern application architectures such as microservices are changing the way that modern enterprises run their infrastructure. Enterprises have become application-centric, investing significant effort and resources on continuous delivery goals and DevOps practices to achieve automation of routine IT and operations tasks. And now with the emergence of containerized applications, it is critical to re-evaluate how application services are provided across data centers and multiple cloud environments.
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Avi Networks
Published By: Avi Networks     Published Date: Mar 06, 2019
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 IT teams to re-architect applications 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
Published By: Avnet     Published Date: Aug 30, 2012
Download this paper now and find out how you can deliver applications in a shorter time-frame without compromising on your testing and compliance.
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avnet, cloud automation software, cloud testing, test management software, improving productivity, automated deployment
    
Avnet
Published By: AWS     Published Date: Sep 05, 2018
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time. This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
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AWS
Published By: AWS     Published Date: Oct 30, 2018
Centrify – a leading cybersecurity company – needed to establish and maintain active security over its applications running on AWS, as it rapidly scaled up. The Centrify DevOps team implemented Dome9 Arc to visualize and assess its security posture, actively enforce security and compliance policies, and automatically remediate misconfigurations on AWS.
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centrify, compliance, security, aws, dome9
    
AWS
Published By: AWS     Published Date: Nov 26, 2018
How Cambridge University Press Automates SAP Workloads on AWS Abstract: In this webinar, Lemongrass will demonstrate the business opportunities presented by automating SAP workloads on AWS. They will also show you how they helped Cambridge University Press achieve the first stage of automation and the benefits that it’s delivering for them.
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cambridge, university, press, automation, sap, workloads
    
AWS
Published By: AWS     Published Date: Nov 12, 2018
If your organization runs VMware vSphere-based cloud infrastructure in your on-premises data center, but you have been reluctant to migrate applications to the cloud for fear of losing some VMware vSphere-based cloud capabilities, VMware Cloud on AWS solves this problem by seamlessly integrating your familiar VMware virtualization and cloud management tools with Amazon Web Services (AWS). Many organizations believe that moving their applications to the cloud makes it necessary to introduce new tools, skills, and processes. This can present a new set of challenges because learning to use new tools, applying new skills, and adapting to new processes can be costly and time-consuming. In this eBook, we dive deeper into how these challenges can hinder hybrid cloud adoption and cover how VMware Cloud on AWS can help your organization overcome these challenges. Join our webinar to learn The benefits of Disaster Recovery-as-a-Service (DRaaS), delivering on-site protection. How automated or
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AWS
Published By: AWS     Published Date: Nov 15, 2018
It isn’t always easy to keep pace with today’s high volume of data, especially when it’s coming at you from a diverse number of sources. Tracking these analytics can place a strain on IT, who must provide the requested information to C-suite and analysts. Unless this process can happen quickly, the insights grow stale. Download your complimentary ebook now to see how Matillion ETL for Amazon Redshift makes it easy for technical and business users alike to participate and own the entire data and analysis process. With Matillion ETL for Amazon Redshift, everyone from CTOs to marketing analysts can generate valuable business intelligence by automating data and analytics orchestrations.
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AWS
Published By: AWS     Published Date: Dec 19, 2018
There is no doubt that customers want to protect their environment against unplanned downtime. But what happens when disasters do occur? Download this webinar for a deep dive into the VMware Cloud on AWS Disaster Recovery (DR) use case. Experts from VMware and AWS jointly discuss the disaster recovery challenges that customers often face and detail how you can leverage VMware Cloud on AWS to overcome them. See demos of how you can use VMware Cloud on AWS for your DR scenario and hear from current customers. Download our webinar to learn The benefits of Disaster Recovery-as-a-Service (DRaaS), delivering on-site protection How automated orchestration accelerates failover and failback capabilities The ways DRaaS simplifies and modernizes your existing DR solutions What VMware Cloud on AWS DRaaS does to help reduce costs, simplify operations, and quicken recovery times
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AWS
Published By: AWS     Published Date: Jun 03, 2019
Background Businesses are often challenged with the complexities of protecting their physical, virtual, and cloud workloads while also meeting their part of the Amazon Web Services (AWS) Shared Responsibility Model. IT security leaders are inundated with too many security tools that aren’t built for their specific environments. Additionally, these responsibilities often entail large amounts of manual processes and people to administer them. As such, there is a need for a solution that provides a secure environment for you to transact your business without slowing you down. Trend Micro™ Deep Security™ is optimized to support the broadest set of platforms and environments (on-premises, virtual, on AWS, or containers) while delivering multiple threat defense techniques to help DevOps teams rapidly detect security incidents, fulfill compliance requirements, and securely deploy containers.
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AWS
Published By: AWS     Published Date: Jun 03, 2019
Background Businesses are often challenged with the complexities of protecting their physical, virtual, and cloud workloads while also meeting their part of the Amazon Web Services (AWS) Shared Responsibility Model. IT security leaders are inundated with too many security tools that aren’t built for their specific environments. Additionally, these responsibilities often entail large amounts of manual processes and people to administer them. As such, there is a need for a solution that provides a secure environment for you to transact your business without slowing you down. Trend Micro™ Deep Security™ is optimized to support the broadest set of platforms and environments (on-premises, virtual, on AWS, or containers) while delivering multiple threat defense techniques to help DevOps teams rapidly detect security incidents, fulfill compliance requirements, and securely deploy containers.
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AWS
Published By: AWS     Published Date: Jul 24, 2019
Many business leaders know that Artificial Intelligence (AI) and Machine Learning (ML) are critical to their future but don’t know where to start. Those who do have an AI/ML strategy struggle to find qualified data scientists; and once they find them, even advanced data scientists need a lot of time—even months—to build and deploy ML models. These challenges put significant limits on the range and number of problems a business can solve. In this webinar, learn how H2O Driverless AI on Amazon Web Services (AWS) automates the best practices of leading data scientists to create advanced machine learning models automatically. With these production-ready models, relative newcomers to AI/ML can generate reliable results and scale-up AI programs that anticipate and capitalize on trends, optimize supply chains, understand customer demand, match consumers with goods and services, and much more. Download our webinar to learn Implement ML successfully with minimal data science expertise. Build
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AWS
Published By: AWS     Published Date: Jul 24, 2019
Common daily media broadcaster tasks such as ad verification are slow and costly. Done manually, they may also introduce inefficiencies that can interfere with transparency and payment accountability—and impact your bottom line. Meanwhile, recent and archived media lies idle when you could repurpose it to increase brand exposure and generate revenue. Learn how Veritone, Inc. used its aiWARE Operating System, building on Amazon Web Services (AWS), to help Westwood One, Inc., a large audio broadcasting network in the United States, develop Artificial Intelligence (AI) and Machine Learning (ML) solutions designed for ad verification and monetizing archived media. Download our webinar to learn how you can Automate ad verification and reporting tasks. Enhance archive content to make media searchable and reusable. Use AI and ML in the cloud for near real-time media intelligence. Start applying machine learning tools.
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AWS
Published By: AWS     Published Date: Jul 24, 2019
Trupanion, a Seattle-based medical insurance provider for cats and dogs, needed to find data insights quickly. With only 1% of pet owners insured, the process of evaluating a claim to approve or deny payment was manual and time-consuming. Building accurate predictive models for decision-making required manpower, time, and technology that the small company simply did not have. DataRobot Cloud, built on AWS, helped Trupanion create an automated method for building data models using machine learning that reduced the time required to process claims from minutes to seconds. Join our webinar to hear how Trupanion transformed itself into an AI-driven organization, with robust data analysis and data science project prototyping that empowered the company to make better decisions and optimize business processes in less time and at a reduced cost. Join our webinar to learn: Why you don’t need to be an expert in data science to create accurate predictive models. How you can build and deploy pr
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AWS
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