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Published By: LogMeIn     Published Date: Feb 27, 2018
When Facebook released their bot feature, M, the virtual assistant living inside their Messenger platform, it was billed as the next generation of how people connect and interact with the internet. Since then, over 18,000 companies have created their own branded chatbots with the help of Facebook’s platform. Never ones to miss out on a trend, Microsoft, Google and Apple have all been hard at work developing their own integrated chatbot features. Brands of all shapes and sizes, from American Express to 1800-Flowers to Domino’s Pizza, all have their own chatbots, proving the versatility of the concept. As Microsoft CEO Satya Nadella said at the 2016 Build conference, “As an industry, we are on the cusp of a new frontier that pairs the power of natural human language with advanced machine intelligence.”
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LogMeIn
Published By: Ingenico     Published Date: May 02, 2018
The time of mobile point of sale (mPOS) has arrived. While the mission to adopt EMV has dominated the payments industry over the past few years, many hotels, resorts and casinos are now focusing their efforts on rapid planning and implementation of mPOS strategies. A number of emerging trends are driving this new focus, including an emphasis on enhancing guest experiences and building brand loyalty by leveraging digital and mobile technologies. Innovative hotels, resorts and casinos are using these solutions to create entirely new guest experiences that improve service speed and convenience while creating distinct competitive advantages. mPOS is increasingly becoming a key part of the picture, providing unique opportunities to improve guest service quality and engagement, create new efficiencies and cost savings, and strengthen their brand. This eBook will provide an overview of those opportunities, some key trends in the hotel & lodging industry, and guide you through the key requirem
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Ingenico
Published By: TIBCO Software     Published Date: Jul 22, 2019
The Insurance industry continues to undergo significant transformation, with new technologies, business models, and competitors entering the market at an increasing rate. To be successful in attracting and retaining the most valuable customers, insurance companies must innovate and increase the speed at which they respond to customer demands. Traditionally, the insurance software market was dominated by a handful of specialist vendors with products that were initially expensive, difficult to deploy, costly to maintain, and did not provide the speed needed for today’s market. Now there has been a shift away from these “black box” applications to platforms that allow insurers to make their algorithmic IP available to business users, allowing much faster response to business demands. The algorithmic platform approach also comes at a fraction of the cost of black box solutions, while delivering advanced analytical techniques like Machine Learning and Artificial Intelligence (AI).
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TIBCO Software
Published By: Boardwalktech     Published Date: Jun 05, 2018
Blockchain is reimagining the way enterprises operate. It’s a powerful new enterprise technology that can be used across vertical and application domains to realize greater efficiency, support new business models and revenue sources, and enhance the security and elevate the trust of enterprise transactions.
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Boardwalktech
Published By: Cisco Umbrella EMEA     Published Date: May 24, 2019
"Nothing kills attacks earlier than DNS-layer security. Protection both before and during the attack Attacks have many phases. Before launching, the attacker needs to stage internet infrastructure to support each phase. Two early phases are to redirect or link to a malicious web domain or send a malicious email attachment. For the former, most attacks leverage exploit kits (e.g. Angler) as the first stage before dropping the final payload. Cisco Umbrella effectively blocks initial exploit and phishing domains.
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Cisco Umbrella EMEA
Published By: Group M_IBM Q2'19     Published Date: Apr 11, 2019
The increase in sophisticated, targeted security threats by both external attackers and malicious insiders have made it extremely difficult for organizations to properly protect critical and sensitive information. The task of protecting these assets has only grown harder as IT environments have become more complex and widely distributed across geographic locations and in the cloud. Many recent high-profile breaches have one thing in common: They were accomplished through the compromise of passwords. In many cases, end-user passwords are initially hacked through various social engineering techniques. Then permissions are escalated to gain access to more privileged accounts — the keys to the kingdom. This unauthorized access can easily go undetected for weeks or even months, allowing hackers to see and steal information at their convenience. Unfortunately, many IT users lack a full understanding of how privileged accounts function, as well as the risks associated with their compromise an
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Group M_IBM Q2'19
Published By: Visier     Published Date: Jan 25, 2019
John Schwarz founded Visier to address what he saw as the major failing of business intelligence and big data analytics. He had a front row seat in this market while leading Business Objects, the largest global business intelligence provider (acquired by SAP). John and co-founder Ryan Wong’s vision was to completely reinvent the approach to analytics, providing instant and complete, domain-specific applications to business leaders, answering their important strategic questions and leading them to adopt best management practices. Their applied business analytics project is working. Today, more than a hundred blue chip companies have selected Visier as their people strategy platform and are achieving incredible results. And that’s just the beginning.
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Visier
Published By: Domino Data Lab     Published Date: Feb 08, 2019
As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them. Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include: Why data science should not be treated like engineering. How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle. Why agility and special hardware to support burst computing are so important to data science break
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Domino Data Lab
Published By: Domino Data Lab     Published Date: Feb 08, 2019
A data science platform is where all data science work takes place and acts as the system of record for predictive models. While a few leading model-driven businesses have made the data science platform an integral part of their enterprise architecture, most companies are still trying to understand what a data science platform is and how it fits into their architecture. Data science is unlike other technical disciplines, and models are not like software or data. Therefore, a data science platform requires a different type of technology platform. This document provides IT leaders with the top 10 questions to ask of data science platforms to ensure the platform handles the uniqueness of data science work.
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Domino Data Lab
Published By: Domino Data Lab     Published Date: Feb 08, 2019
As organizations increasingly strive to become model-driven, they recognize the necessity of a data science platform. According to a recent survey report “Key Factors on the Journey to Become Model-Driven”, 86% of model-driven companies differentiate themselves by using a data science platform. And yet the question of whether to build or buy still remains. This paper presents a framework to facilitate the decision process, and considers the four-year projection of total costs for both approaches in a sample scenario. Read this whitepaper to understand three major factors in your decision process: Total cost of ownership - Internal build costs often run into the tens of millions Opportunity costs - Distraction from your core competency Risk factors - Missed deadlines and delayed time to market
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Domino Data Lab
Published By: Domino Data Lab     Published Date: May 23, 2019
As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them. Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include: Why data science should not be treated like engineering. How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle. Why agility and special hardware to support burst computing are so important to data science break
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Domino Data Lab
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: Domino Data Lab     Published Date: May 23, 2019
This paper introduces the practice of Model Management, an organizational capability to develop and deliver models that create a competitive advantage. Today, the best-run companies run their business on models, and those that don’t face existential threat. The paper explains why companies that fail to run on models are falling for the Model Myth—the assumption that models can be managed like software or data. Models are different and need a new organizational capability: Model Management. What’s inside: Defining a model Why models matter for businesses Why companies fall for the Model Myth A framework for Model Management Practical steps to get started The paper is intended for anyone in a data science organization, or anyone who hopes to use data science as a key source of competitive advantage for their business.
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Domino Data Lab
Published By: SDL     Published Date: Sep 20, 2019
A localization project manager's guide to saving time and finding freedom
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SDL
Published By: Oracle + Dyn     Published Date: Jun 27, 2017
"Every user’s first interaction with your website begins with a series of DNS queries. The Domain Name System or DNS is a distributed internet database that maps human-readable names to IP addresses, ensuring users reach the correct online asset (website, application, etc) efficiently. Knowing the complexities and best practices of this layer of your online infrastructure will help your organization build redundancy, improve end-user performance and establish a top notch DR plan. Download this guide to DNS top terms and actionable concepts including: • Anycast vs. Unicast networks • CNAME • DDoS and Hijacking • Load Balancing and GSLB Learn more! "
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Oracle + Dyn
Published By: K2     Published Date: Apr 01, 2016
This white paper reveals how K2 blackpearl can help make the challenge of rebuilding your business applications more manageable. Its visual, easy-to-use tools help ensure that you are not dependent on consultants or even your IT department to build apps.
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ibm lotus, ibm lotus domino, microsoft sharepoint
    
K2
Published By: Proofpoint     Published Date: May 30, 2018
Email fraud is rife – business email compromise (BEC) is costing companies billions, and consumer phishing is at an all-time high. The majority of these email attacks are also preventable. Utilising the power of email authentication, Email Fraud Defence protects your organisation from all phishing attacks that spoof trusted domains. Visibility of who is sending email across your email ecosystem allows you to authorise all legitimate senders and block fraudulent emails before they reach your employees, customers and business partners. Protect your email ecosystem from today’s advanced email threats including business email compromise (BEC) and consumer phishing. Proofpoint Email Fraud Defence gives you the visibility, toolset and services needed to authorise legitimate email senders and block fraudulent messages before they reach the inbox.
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Proofpoint
Published By: VMware Dell     Published Date: Jan 31, 2008
A virtualized data center is a more nimble, responsive, and efficient data center. This report discusses the trend towards x86 virtualization and customer benefits, and examines how (in defiance of conventional wisdom) SMB customers have been embracing – and benefiting from – x86 virtualization at about the same rate as larger enterprises.
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gabriel, gabriel consulting, vmware, virtual, virtual server, server, server software, small business
    
VMware Dell
Published By: MessageLabs     Published Date: Sep 25, 2008
The Internet has proven to be a vital communications medium for worldwide commerce, but as an open and unprotected global network it can also present a wide range of threats that can cripple any business organization. Several years ago, most Internet threats were relatively benign examples of a young adolescent’s technical expertise but over time they have evolved into increasingly sophisticated domestic and foreign attacks that are designed to capture financial, personal, or strategic business information. Threats now come in the form of deliberately malicious acts, and exploitative opportunities for hackers and/or organized crime. The impact is serious, and the landscape of victims is getting broader every day. In response, no organization can afford to have its networks remain unprotected.
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messagelabs, online threats, security, small & medium businesses, email spam, viruses, trojan horses, worms
    
MessageLabs
Published By: Red Hat, Inc.     Published Date: Jul 10, 2012
Cloud computing has a lot of appeal, from auto-scaling to lower costs, and it's all just a few clicks away. Thus, the big question is not "why cloud?" but rather "how cloud?"
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cloud, cloud computing, autoscaling, lower costs, applications technology, applications platform, it productivity, application lifecycle
    
Red Hat, Inc.
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: MicroStrategy     Published Date: Aug 28, 2019
The Constellation AstroChartTM supplies a visual guide of the trends impacting Data to Decisions. After assessing boardroom priorities, organizations should employ AstroCharts to inform portfolio management. This report contains two AstroCharts: one identifying Business Trends and one identifying Technology Trends. The AstroCharts’ vertical axes plot “Organizational Adoption” rates from Mainstream to Early Adopter to Bleeding Edge. Horizontal axes plot “Business Impact,” the impact of the trend on an organization’s business model, from Incremental to Transformational to Exponential. The Constellation AstroChart moves beyond both the hype and constraints of the standard 2 x 2 grid to identify the dynamics impacting the entire market. This report applies Constellation’s AstroChart to the Constellation’s business theme of Data to Decisions. This research domain examines the enablement of data-driven decisions across organizations. Holistic, data-informed decisions require a multidisciplin
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MicroStrategy
Published By: Intel Corp.     Published Date: Nov 21, 2017
This whitepaper provides an overview on technology dominated discussions at Sibos 2016 to an extent we have not seen previously.
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Intel Corp.
Published By: Infoblox     Published Date: Aug 08, 2013
10 compelling reasons for taking another look at the way you manage DNS, DHCP, and IP addresses.
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infoblox _dns_dhcp_ipam, infoblox_ddi, infoblox_dns, infoblox_ipam, infoblox_dhcp, infoblox_ip_address_management, dhs_dhcp_ipam, dns
    
Infoblox
Published By: Infoblox     Published Date: Nov 07, 2013
Attacks on the computing infrastructure directly impact network management teams. Security is also a network management issue. This paper explains how your network management team is key to securing your business against cyber-attacks.
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infoblox_dns_dhcp_ipam, infoblox_ddi, infoblox_dns, infoblox_ipam, infoblox_dhcp, infoblox_ip_address_management, dhs_dhcp_ipam, dns
    
Infoblox
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