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Published By: 8x8 Inc.     Published Date: Feb 17, 2017
This Frost & Sullivan paper will outline the difficult challenges faced by all businesses—in a variety of industries and sizes—in creating an exceptional customer experience; discuss the value of a contact center that also supports all channels of choice, disaster recovery, data analytics, and leveraging back-office workers; stress the need for cultural change throughout the organization to truly meet today’s customers’ expectations; and offer best practices recommendations for taking the lead in creating a customer journey that engenders loyalty, delivers total satisfaction, and drives revenues.
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frost & sullivan, contact center, customer engagement, cloud, culture gap, scalability, omnichannel, digital tranformation
    
8x8 Inc.
Published By: Altiscale     Published Date: Oct 19, 2015
In this age of Big Data, enterprises are creating and acquiring more data than ever before. To handle the volume, variety, and velocity requirements associated with Big Data, Apache Hadoop and its thriving ecosystem of engines and tools have created a platform for the next generation of data management, operating at a scale that traditional data warehouses cannot match.
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big data, analytics, nexgen, hadoop, apache
    
Altiscale
Published By: Amazon Web Services     Published Date: Oct 09, 2017
Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyse data that addresses many of these challenges. Data Lakes allow an organization to store all of their data, structured and unstructured, in one, centralized repository.
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cost effective, data storage, data collection, security, compliance, platform, big data, it resources
    
Amazon Web Services
Published By: Amazon Web Services     Published Date: Jul 25, 2018
What is a Data Lake? Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyze data that addresses many of these challenges. A Data Lakes allows an organization to store all of their data, structured and unstructured, in one, centralized repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand. Download to find out more now.
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Amazon Web Services
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: Artemis Health     Published Date: Feb 05, 2019
Self-insured employers are mining their health and benefits data to save costs and provide quality care for employees. Data is driving business decisions, but how do you get from millions of rows of data to a consumable graph to taking action? In this white paper, we’ll delve into data analytics best practices that help self-insured employers find actionable insights in their benefits data. • Which data sources will help you ensure you’re measuring the right thing at the right time • How to ensure data variety and choose key metrics • An example of a successful predictive analysis using benefits data
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Artemis Health
Published By: Asentria Corporation     Published Date: Sep 04, 2007
More than ever before, IT managers need to secure equipment and facilities against a variety of intrusive conditions that could cripple critical operations, resulting in system malfunctions, loss of data or intellectual property, damage to mission critical hardware or even theft of valuable physical assets. Such conditions often include environmental events, failure of air conditioning systems, power outages, and untoward human actions.
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telecom alarms, snmp traps, remote site managers, terminal servers, remote access, snmp monitoring, snmp, contact closures
    
Asentria Corporation
Published By: Automation Anywhere     Published Date: Feb 21, 2019
Automation Anywhere’s flagship product is Automation Anywhere Enterprise – a RPA platform offering a variety of tools to help organisations develop, operate and manage RPA bots that automate data entry, data gathering and other repetitive, routine tasks usually carried out as part of high-volume, repetitive work (for example, service fulfilment work in call centres, shared-service centres, and back-office processing environments). Automation Anywhere Enterprise bots can add value both in unattended (server-based, lights-out operation) and attended (desktop-based, interactive) deployment configurations. In this report, MWD Advisors digs deeper into the features and capabilities of Automation Anywhere’s product portfolio, analysing its fast-growth trajectory and highlighting large-scale implementations.
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Automation Anywhere
Published By: AWS     Published Date: Nov 02, 2017
Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is an architectural approach that allows you to store massive amounts of data into a central location, so it’s readily available to be categorized, processed, analyzed, and consumed by diverse groups within an organization. Since data - structured and unstructured - can be stored as-is, there’s no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
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AWS
Published By: AWS     Published Date: Jun 20, 2018
Data and analytics have become an indispensable part of gaining and keeping a competitive edge. But many legacy data warehouses introduce a new challenge for organizations trying to manage large data sets: only a fraction of their data is ever made available for analysis. We call this the “dark data” problem: companies know there is value in the data they collected, but their existing data warehouse is too complex, too slow, and just too expensive to use. A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated q
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AWS
Published By: AWS     Published Date: Aug 20, 2018
A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated querying: ability to run a query across heterogeneous sources of data • Data consumption: support numerous types of analysis - ad-hoc exploration, predefined reporting/dashboards, predictive and advanced analytics
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AWS
Published By: AWS     Published Date: Oct 26, 2018
Today’s organisations are tasked with analysing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organisations are finding that in order to deliver analytic insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is an architectural approach that allows you to store enormous amounts of data in a central location, so it’s readily available to be categorised, processed, analysed, and consumed by diverse groups within an organisation? Since data—structured and unstructured—can be stored as-is, there’s no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
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data, lake, amazon, web, services, aws
    
AWS
Published By: AWS     Published Date: Dec 17, 2018
Watch this webinar to understand how FINRA leverages Splunk with a variety of AWS services such as Amazon Kinesis Data Firehose and AWS Lambda as the data analytics destination to gain real-time insights for powerful visualizations, comprehensive reporting and meaningful alerts.
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AWS
Published By: BlackBerry     Published Date: Feb 25, 2009
When interactivity is combined with unified communications and location awareness, next-generation social networks will have significant business value. Unified communications integrates the wide variety of voice, data, video and collaboration tools that business professionals use today into a single environment. This can dramatically improve the speed of decision-making by connecting collaborators quickly, regardless of their location.
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blackberry, ecosystem, social networking, unified communications, microsoft exchange, mobile device management, mobile device management software, mobile workers
    
BlackBerry
Published By: Butler Technologies     Published Date: Jul 02, 2018
Increasingly complex networks, require more than a one-size-fitsall approach to ensuring adequate performance and data integrity. In addition to the garden-variety performance issues such as slow applications, increased bandwidth requirements, and lack of visibility into cloud resources, there is also the strong likelihood of a malicious attack. While many security solutions like firewalls and intrusion detection systems (IDS) work to prevent security incidents, none are 100 percent effective. However, there are proactive measures that any IT team can implement now that can help ensure that a successful breach is found quickly, effectively remediated, and that evidential data is available in the event of civil and/or criminal proceedings.
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Butler Technologies
Published By: CDW-Trend Micro     Published Date: Mar 26, 2015
Endpoint security is at a critical juncture. Increasingly, employees at organizations of all sizes are using a wider variety than ever of desktop and mobile devices, including smartphones, tablets and laptops, as they work from broadly dispersed locations, including home offices. Often, organizations are permitting and even encouraging employees to use their own devices under BYOD (bring your own device) policies. With these devices, employees are accessing not only corporate data and applications, but also social media, banking and shopping sites. Download this white paper to learn more about endpoint security.
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endpoint security, desktop devices, mobile devices, byod, corporate data, technology
    
CDW-Trend Micro
Published By: ChannelAdvisor     Published Date: Nov 29, 2017
"The percentage of consumers making purchases online has officially outpaced those who don’t. But what does this mean for brands? Once tethered largely to wholesale and resale, the door has been opened for brands to try a variety of selling options. And they are. The time is now for brands to step into the e-commerce game and figure out the best approach for them. In this white paper, we’ll dive into six critical components that all brands should be watching as the industry evolves: - Customer connections - Relationships with retailers - Quality of product content - Marketplace management - Social commerce influence - Big data for brands"
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ecommerce, retail, advertising, selling online, online shopping, online advertising, manufacturer, marketing
    
ChannelAdvisor
Published By: Cisco and NVIDIA Corporation     Published Date: Oct 22, 2018
Citrix and Google are collaborating to bring the best, most secure way to deliver virtual apps and desktops from Google Cloud. The Citrix Workspace solutions traditionally installed on data center servers—including Citrix Virtual Apps and Desktops, Citrix Networking, and Citrix Content Collaboration (formerly known as Citrix ShareFile)—are now enabled on Google Cloud Platform services. Citrix enables customers to choose the workload deployment option that best aligns with their enterprise cloud strategy and offers a variety of ways to securely deploy Citrix solutions to meet unique application needs. Whether deployed on-premises, cloud-hosted, as a Citrix Workspace service, or with a service provider—customers choose how much and which components of app workloads to manage and when and where to securely deploy business apps, data, and desktops.
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Cisco and NVIDIA Corporation
Published By: Cisco EMEA     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA
Published By: Citrix Systems     Published Date: Feb 14, 2019
"Security threats come in a variety of different forms — from network to web and app attacks. As these form factors continue to morph, they often evade traditional security measures, leaving organizations scrambling to protect their digital ecosystem. With a comprehensive end-to-end security solution, your organization can securely deliver the apps and data your teams need to be productive. Check out our e-book and discover: - Why a holistic security approach is crucial - What a new security approach looks like - How Citrix solutions provide security across your entire stack"
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Citrix Systems
Published By: Citrix Systems     Published Date: Jun 04, 2019
Security threats come in a variety of different forms — from network to web and app attacks. As these form factors continue to morph, they often evade traditional security measures, leaving organizations scrambling to protect their digital ecosystem. With a comprehensive end-to-end security solution, your organization can securely deliver the apps and data your teams need to be productive. Check out our e-book and discover: Why a holistic security approach is crucial What a new security approach looks like How Citrix solutions provide security across your entire stack
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Citrix Systems
Published By: Cloud Direct     Published Date: Jan 17, 2018
Clearly, data centre modernisation can achieve a wide variety of business benefits for an equally wide variety of organisations. Data centre modernisation programmes are also far reaching. They reach way beyond the desire to merely reduce costs. They add significant business value, and often become the essential cornerstone of digital transformation. When starting on your own path towards modernisation, it’s vital to recognise that your success depends on making use of advanced public cloud services that sit at the vanguard of enterprise technology’s capabilities. If they don’t, you risk not being able to gain access to a world of new possibilities.
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applications, data, run time, middleware, operating system, virtualisation, servers, storage
    
Cloud Direct
Published By: Cornerstone OnDemand     Published Date: Jul 28, 2017
The modern recruiter has it far from easy. While the soft skills of recruiting are still relevant — good communication skills, outgoing personality, and keen intuition — the tech-driven world of work requires talent acquisition specialists to navigate a variety of tools, data analytics, and social media platforms. Recruiters can no longer just be great “people people”—they need to be great tech people, too.
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recruitment, human resources, communication, data analytics, social media
    
Cornerstone OnDemand
Published By: DataStax     Published Date: Nov 02, 2018
Today’s data volume, variety, and velocity has made relational database nearly obsolete for handling certain types of workloads. But it’s also put incredible strain on regular NoSQL databases. The key is to find one that can deliver the infinite scale and high availability required to support high volume, web-scale applications in clustered environments. This white paper details the capabilities and uses case of an Active Everywhere database
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DataStax
Published By: Datastax     Published Date: Nov 02, 2018
Today’s data volume, variety, and velocity has made relational database nearly obsolete for handling certain types of workloads. But it’s also put incredible strain on regular NoSQL databases. The key is to find one that can deliver the infinite scale and high availability required to support high volume, web-scale applications in clustered environments. This white paper details the capabilities and uses case of an Active Everywhere database
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Datastax
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