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Published By: Citrix     Published Date: Jun 15, 2018
The world of IT is undergoing a digital transformation. Applications are growing fast, and so are the users consuming them. These applications are everywhere—in the datacenter, on virtual and/or microservices platforms, in the cloud, and as SaaS. More and more apps are now being moved out of datacenters to a cloud-based infrastructure. In order for an optimized and secure delivery of these applications, IT needs specific network appliances called Application Delivery Controllers (ADCs). These ADCs come in hardware, virtual, and containerized form factors, and are sized by Network Administrators based on the current and future usage of applications. The challenge with this is that it’s hard to foresee sizing or scalability requirements for these ADCs since users are constantly increasing, and applications are consistently evolving, as well as moving out of datacenters. Complicating matters, most ADCs are fixed-capacity network appliances that provide zero or minimum expansion capability
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Citrix
Published By: Datarobot     Published Date: May 14, 2018
Founded in 2000, Trupanion is a Seattle-based company that provides allinclusive medical insurance policies for pet owners. A challenge for insurance companies is the need to quickly process claims to determine whether a claim should be paid automatically. In the comparatively small world of medical insurance for cats and dogs, however, only about 1% of pet owners hold insurance policies. Most veterinarians expect pet owners to cover the full bill for their pets’ treatment, making the insurance claims process a manual and time-consuming effort.
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Datarobot
Published By: Datarobot     Published Date: May 14, 2018
The DataRobot automated machine learning platform captures the knowledge, experience, and best practices of the world’s leading data scientists to deliver unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users of all skill levels, from business people to analysts to data scientists, to build and deploy highly-accurate predictive models in a fraction of the time of traditional modeling methods
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Datarobot
Published By: Datarobot     Published Date: May 14, 2018
Organizations across industries look to technology, not only as a way to run their operations more smoothly, but as a way to gain competitive advantage. Artificial Intelligence (AI) and machine learning have transformed the businesses that are aggressively adopting these technologies, allowing them to systematically solve business problems faster and more effectively.
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Datarobot
Published By: SAS     Published Date: May 24, 2018
Constant market shifts and changing customer preferences add to the challenge of outperforming your competitors and surpassing stakeholder expectations. But what can be done to steer your organization down the path to greater success? By now, we all know it’s not just historical reporting about the past that will provide the answers needed to drive a business forward. Everyone – from executives and analysts to frontline staff – must have access to insights about the future that will enable them to make the best decisions and take the actions needed to keep their organizations agile. This means the ability to peer into data, explore it, understand it, analyze it and produce insights that provide those aha moments and take actions on it. Such things cannot be done with multiple tools that are rigid, limiting and difficult to use. A new breed of business intelligence is required. Gone are the days when reports looked at singular issues, took possibly days or weeks to create, and required
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SAS
Published By: SAS     Published Date: May 24, 2018
Ongoing digitization has created vast streams of data, forcing businesses to become more data-driven than ever before. While the benefits of being a data-driven organization are clear (improved performance, more profitability, stronger innovations), there are still some technical and business challenges to overcome. Thanks to technological advancements in data analytics, companies in all types of industries can become data-driven. Read this e-book to discover what it means to be a data-driven organization and to learn the basic do’s and don’ts of how to get there.
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SAS
Published By: SAS     Published Date: May 24, 2018
For 20 years running, SAS has landed a coveted spot on Fortune’s 100 Best Companies to Work For list. Our HR department plays a critical role in keeping current employees engaged and productive as well as anticipating and preparing for future workforce needs. How? One reason is our use of data and analytics to drive HR decision making. It would be easy to assume other companies see the value of analytics; however, a Deloitte survey found 75 percent of HR leaders rate analytics as a priority, yet only 8 percent say their HR organization has a strong analytics capability. I had the pleasure of meeting David Harcourt, Associate Manager of Employee Insights at Yum! Brands when he spoke at the Analytics Experience 2016 conference in Las Vegas. His session, “HR Analytics from Scratch: 8 Lessons Learned in the First Year,” provided valuable insight into what it takes to build HR analytic competency from scratch. His mission is to share with others what he wishes he’d known when he started bui
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SAS
Published By: SAS     Published Date: May 24, 2018
Compliance doesn’t have to be a scary word, even when facing the multifaceted challenges of the European Union’s General Data Protection Regulation. In fact, following through with plans for sustainable GDPR compliance can have many long-term benefits for your organization. That's because relying on data-driven decisions across the board sets you on track to gain a competitive edge. In February 2018, SAS conducted a survey with 183 global, cross-industry businesspeople involved with GDPR at their organizations. Based on the survey results, this e-book delves into the biggest challenges and opportunities organizations have faced on the road to GDPR compliance. Read on for advice from industry experts about the best path to compliance. Learn what steps your peers across a variety of industries have already taken and discover how an integrated approach from SAS can continue to guide your journey toward GDPR compliance.
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SAS
Published By: SAS     Published Date: May 24, 2018
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
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SAS
Published By: SAS     Published Date: May 24, 2018
Implementing omnichannel marketing is often difficult, especially when using digital channels. Most products designed for digital channels lack the ability to integrate with traditional channels that have on-site processes and data. SAS Customer Intelligence 360 enables businesses to use both cloud and on-site channels and data. This integration is possible because of SAS software’s hybrid cloud architecture.
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SAS
Published By: Sangoma     Published Date: Jan 30, 2013
IP communications across multiple, sometimes untrusted, networks needs to be normalized, managed and secured. As part of the most cost-effective, easiest to manage line of Session Border Controllers on the market. Read to learn how they can help you.
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ip communications, sangoma, ip firewall, datasheet, sangoma, session border control, carrier appliance
    
Sangoma
Published By: Sangoma     Published Date: Jan 30, 2013
The most cost effective, easiest to provision, and easiest to manage line of SBCs on the market. Sangoma's Vega Enterprise SBC provides full-featured protection and easy interconnection at the edge of enterprise networks.
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sbc, enterprise appliance, vega sbc, sangoma, datasheet, cost effective solution
    
Sangoma
Published By: Sangoma     Published Date: Jan 30, 2013
The most cost effective, easiest to provision, and easiest to manage line of Session Border Controllers on the market. Sangoma’s Vega Enterprise SBC VM/Hybrid provides full-featured protection and easy interconnection.
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vega sbc, enterprise, vm hybrid, data sheet, easy to use, cost effective, sbc solution
    
Sangoma
Published By: Epicor     Published Date: Apr 17, 2018
Running a successful firearms and shooting sports retail business offers unique challenges. To achieve growth, you need a software solution that streamlines nearly every aspect of your firearms business—letting you focus on running a more compliant, efficient, and profitable operation. Created in collaboration with Orchid Advisors, Epicor FFL Compliance Manager is a robust, cloud-based system for firearms retailers that seamlessly manages ATF compliance for higher profits and faster growth. This fast, easy-to-use bound book solution can: • Quickly package compliance reports on demand and review bound book activity with dashboards to support ATF inspections • Save time by scanning serial numbers instead of entering them manually • Relieve audit stress thanks to easy access to bound book data and on-demand, ATF-friendly reporting Read on to hear from businesses currently powered by Epicor FFL Compliance solutions.
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firearms collection software, firearms inventory software, firearms management system, firearms tracking software
    
Epicor
Published By: Epicor     Published Date: Jun 11, 2018
Enterprise resource planning (ERP) software is the backbone of modern manufacturing information systems, enabling the digital transformation that’s changing operations and customer expectations. As the movement toward a digital workplace evolves, your ERP system must keep pace. Epicor commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study to examine the potential return on investment (ROI) of deploying Epicor ERP. Several manufacturers using Epicor ERP found: • Faster access to data and improved real-time visibility enabled better decision-making • Improved multi-company operational efficiency • Increased competitiveness with faster turnaround of customer quotes and improved pricing accuracy • Increased versatility with the Epicor ERP cloud offering • Access to deep expertise in manufacturing best practices Read the study to find out how else Epicor ERP has helped manufacturers.
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Epicor
Published By: Genesys     Published Date: Jun 13, 2018
Routing is a fundamental component of your customer experience strategy. True omnichannel routing breaks down channel silos and gathers intelligence upfront through context and data to deliver the personalized, seamless engagement your customers now expect. Learn how you can move beyond single interactions with true omnichannel routing: • Dynamically match customers from any touchpoint, over any channel, to the agent with the optimal insights, skill set and proficiency • Enable seamless transitions between digital self-service and live employee contact • Replace single, random interactions with thoughtfully designed and optimized customer journeys
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routing, customer experience, transitions, self-service
    
Genesys
Published By: Google Cloud     Published Date: May 09, 2018
To the Cloud and Beyond: Big Data in the Age of Machine Learning
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Google Cloud
Published By: Service Now     Published Date: Jan 26, 2018
Digital transformation (DX) has progressed well beyond the abundant hype predicting it to where it is now an existential concern for many enterprises. We are at an inflection point as digital transformation efforts shift from "project" or "initiative" status to strategic business imperatives. Growing enterprises, regardless of age or industry, are striving to become "digital native" in the way their executives and employees think, what they produce, and how they operate. IDC predicts that by 2021, at least 50% of global GDP will be digitized, with growth in every industry driven by digitally enhanced offerings, operations, and relationships, and that by 2020, investors will use platform/ecosystem, data value, and customer engagement metrics as valuation factors for all enterprises.
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Service Now
Published By: HireVue     Published Date: May 16, 2018
OVERVIEW Unilever is a global player in the fast-moving consumer goods (FMCG) sector, with nearly a third of the world’s population using its products every day. The company has more than 169,000 employees working around the world, and its leaders estimate that within three years, as many as 60 percent of those employees will be Millennials. Critical to Unilever’s ongoing success will be its ability to attract these recent college graduates. For its signature Future Leaders Programme, the company wanted its recruitment efforts to get ahead of the curve. The existing process was rooted in paper-based applications, phone interviews with recruiters, and manual assessment tests. It took four to six months to sift through 250,000 applications and ultimately hire 800 individuals. The company sought to radically transform this process using online gamification, digitally recorded interviews, and science-based assessment tests and data analysis. In this case study, we: • Explain the chal
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HireVue
Published By: HireVue     Published Date: May 18, 2018
Recruiting leaders know that if their companies aren’t sourcing and hiring for diversity they are missing valuable talent and experience. This is one of the reasons diversity has been a focus area for improvement in recent years. Many organizations start with training. While diversity training is important for creating awareness, it doesn’t a¬ffect human behavior. A 2017 meta-analysis of studies investigating bias training confirmed this. Formal training can reduce unconscious bias, but it does not change behavior.13 This has put talent leaders in a di cult position. The way to make real progress on diversity hiring initiatives is by using systematic processes that apply data-driven decision making. With structured interviews and AI, you can overcome unconscious bias and make hiring more equitable for all candidates.
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HireVue
Published By: Google Chrome Enterprise     Published Date: May 04, 2018
"Chrome Browser provides secure, trusted access to data, apps, and cloud services, connecting employees on any device to a new generation of powerful tools for work. With proactive securitymeasures protecting them while they work, users get a consistent, customizable experience whenever and wherever they access it."
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Google Chrome Enterprise
Published By: Google Chrome Enterprise     Published Date: May 07, 2018
In the year 2016 alone, the world learned about security breaches that compromised nearly 2 billion records.1 Employee endpoints are increasingly targeted: Nearly two-thirds (64%) of external attacks last year targeted a corporate-owned, employee-owned, or mobile device.2 Data breaches cost companies time and money, weaken brand reputation, and jeopardize customer and employee trust.
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Google Chrome Enterprise
Published By: LogMeIn     Published Date: Feb 27, 2018
LogMeIn offers consistently reliable service to its Bold360 customers and is vigilant in efforts to provide services that are not only robust and scalable, but also secure. This document describes how we achieve reliable scalability and the measures taken by LogMeIn to protect Bold360 customer data.
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industry, network, service, operations, scalability, data, encryption
    
LogMeIn
Published By: LogMeIn     Published Date: Feb 27, 2018
Exceptional customer service is a competitive differentiator. Providing consistent service that is tailored to the individual across a variety of digital channels can help organizations deliver personalized experiences that exceed the expectations of today’s digital savvy consumers. Yet, many organizations fail to deliver real-time relevance in their service experiences because critical customer data is siloed in different systems (CRM, ticketing, etc.) across the enterprise, making it difficult to understand the full customer journey and their needs at that point in time. We partnered with IDG Research to survey top-performing customer service organizations to determine the challenges they face, and, more importantly, their plans for driving better outcomes. One thing is clear: taking a strategic approach to future investments can help organizations meet their customer service objectives and deliver on customer expectations.
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digital, engagement, customer, service, research, organizations
    
LogMeIn
Published By: LogMeIn     Published Date: Feb 27, 2018
24/7 Self-Service Support Center: Bold360 ai’s 24/7 context driven support center was implemented, allowing users to instantly discover relevant content from the smart knowledge database. Dynamic FAQs displayed trending topics in real-time to speed up customer resolution and discoverability. Real-Time Customer Analytics highlight unanswered questions, giving Premium Credit instant visibility of missing topics, questions driving ticket volume, and more.
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customer, support, faq, credit
    
LogMeIn
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