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Part III of III: MobileIron and Microsoft Intune – March 2017 Detailed Comparison

Published By: CBRE     Published Date: Aug 02, 2017
This three-part video blog series is my perspective on Microsoft’s strategy, the evolution of Microsoft Intune, and the critical role MobileIron plays in a Microsoft shop. My opinions are based on publicly available and third-party data plus my analysis of Microsoft’s actions. Part I of this series gives an overview of Microsoft’s strategy, and Part II provides a high-level comparison of MobileIron and Microsoft Intune.
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microsoft strategy, mobileiron, data analysis, video blog
    
CBRE

Is Managed Security Monitoring Right for Your Organization?

Published By: IBM     Published Date: Jan 09, 2017
Is it better to build your own internal cybersecurity expertise and security intelligence & analytics platform or should you outsource the responsibilities to a team of experts? Read this paper by Securosis, L.L.C, an independent research and analysis firm, to understand the drivers, use cases and partner selection criteria for managed security monitoring.
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IBM

Growing Government Cyber Intelligence1

Published By: IBM     Published Date: Jan 11, 2017
Read this i360Gov Book to understand the importance of: - Transforming federal fortifications into intelligence-driven defense - Intensifying focus on cyber intelligence - Needing a well trained cybersecurity force
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ibm, analytics, government, public sector, security, cyber threat, cyber threat analysis, risk, enterprise applications, business technology
    
IBM

IDG: Mobile & PC Need to Be Equally Secured

Published By: Lookout     Published Date: Mar 29, 2017
As the mobile workforce continues to expand, so do risks to enterprise security. Read the Lookout whitepaper for an overview of the current state of mobile security, including market analysis, current threats, and gaps in existing technology.
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Lookout

Proactive Hunting: The Last Line of Defense Against the “Mega Breach”

Published By: CrowdStrike     Published Date: Aug 01, 2017
The frequency of “mega breaches” continues to rise at an alarming rate. In fact, crippling incidents involving tens of millions of customer records, theft of highly valuable intellectual property, and related criminal activity have become commonplace. This report asserts that many such breaches could be prevented by deploying next-generation endpoint protection technology in concert with an aggressive proactive hunting strategy. This potent combination provides the most effective means to reduce attack surfaces and defend against advanced adversaries.Download the white paper to:?Learn how a proactive hunting strategy protects valuable data assets from a potential mega breach?Get a detailed analysis of how highly skilled human hunters pair with technology to aggressively seek out threat behaviors?Understand why integrating CrowdStrike Falcon Overwatch into an organization’s existing security resources offers the most comprehensive protection against persistent and skilled adversaries?Fi
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CrowdStrike

Operationalizing Threat Intelligence - German

Published By: McAfee     Published Date: Mar 31, 2017
Behind the vast majority of legitimate alerts sent to the IT security team is an attacker who exploits multiple attack techniques to infiltrate your infrastructure and compromise your critical data and systems. Targeted multi-phased attacks include a series of cyber attack chain steps: recognition, vulnerability analysis, operation and, finally, exfiltration of critical business data.
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cyber threats, threat intelligence, cyber attack, cyber attack prevention
    
McAfee

Magic Quadrant for Cloud Strategic Corporate Performance Management Solutions

Published By: Host Analytics     Published Date: Aug 01, 2017
Summary Strategic corporate performance management solutions support the office of finance's efforts to manage organizational performance and strategy. Application leaders should use this Magic Quadrant to identify vendors that are a good match for their business needs. Strategic Planning Assumptions By 2020, at least 75% of organizations will seek to improve the accuracy and actionability of financial planning and analysis by using operational data from multiple business domains. By 2020, at least 25% of organizations will achieve more collaborative, continuous and consistent financial planning and performance management by closely linking key operational and financial planning processes.
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Host Analytics

Financial Planning and Forecasting Best Practice

Published By: Mitto     Published Date: Jun 06, 2017
APQC reports that 30% of CFOs that are unhappy with their current planning solution.1 Most FP&A professionals want a planning and forecast process that is fast and repeatable. They want the financial data to be accurate and transparent to the deepest levels. They need planning tools that provide structure to streamline the process and flexibility to accommodate changes in the business. And they require analysis and reporting that bring visibility to the state of the business and lead to actionable insights. This paper details five best practices that Finance teams can follow to improve their planning and forecasting and influence the strategy of an organization.
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veritas, backup, recovery, netbackup
    
Mitto

Accelerate Deep Learning With A Modern Data Platform

Published By: Pure Storage     Published Date: Jul 03, 2019
Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions.
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Pure Storage

Accelerate Deep Learning with a Modern Data Platform

Published By: Pure Storage     Published Date: Jul 03, 2019
Financial services businesses face unprecedented market challenges. Disruption from Fintech firms, increased local and international regulation, geo- political upheavals and wavering customer loyalty. The need to fully understand the market, to innovate, to reduce costs and be more competitive has never been greater, and this is where AI can help. According to one fintech research company, by 2030 the financial services sector could reduce operational costs using AI, by as much as 22%. It suggests that will equate to around $1 trillion in efficiencies. So, from a purely operational point of view, doing nothing is not really an option for companies that want to remain competitive. Today, financial services firms across the board need to rejuvenate customer experience to protect against client attrition, and protect those customers against risk. While data analysis and visualization are key to making sense of data, the fundamental challenge for all businesses is building an infrastructur
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Pure Storage

Carson Tahoe Health Case Study

Published By: IBM Watson Health     Published Date: Jul 06, 2018
The need Carson Tahoe Health needed insights to convince its board that an outpatient palliative care program could help address its higher-thanaverage mortality rates and help decrease the risk of future financial impact from those rates The solution The healthcare system used IBM® CareDiscovery to track and analyze end-stage patient mortality and related length of stay, readmissions, utilization and costs in key disease groups—by comparing those who participated in trial inpatient palliative care and those who did not The benefit The analysis was used to demonstrate to the system’s board that an outpatient palliative care service line was viable in terms of both cost savings and quality-of-care improvement
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IBM Watson Health

Gartner Research Note on Security Trends

Published By: Gigamon     Published Date: Oct 19, 2017
Read Gartner’s research note, Top 10 Strategic Technology Trends for 2017: Adaptive Security Architecture, to improve visibility and control over your organization’s exposure to risk with a continuous, contextual and coordinated approach to security. Comprehensive protection now requires an adaptive process to predict, prevent, detect and respond to security breaches that includes DevSecOps, IoT Security, and Intelligent Security. This note walks you through key planning assumptions, analysis, best practices and specific recommendations.
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Gigamon

Deep Packet Inspection for Threat Analysis

Published By: Rohde & Schwarz Cybersecurity     Published Date: Nov 28, 2017
Advanced persistent threats (APTs) are stealthier and more spiteful than ever. Sophisticated techniques are used to quietly breach organizations and deploy customized malware, which potentially remains undetected for months. Such attacks are caused by cybercriminals who target individual users with highly evasive tools. Legacy security approaches are bypassed to steal sensitive data from credit card details to intellectual property or government secrets. Traditional cybersecurity solutions, such as email spam filters, anti-virus software or firewalls are ineffective against advanced persistent threats. APTs can bypass such solutions and gain hold within a network to make organizations vulnerable to data breaches.
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it security, vendor, malware, analysis, service, malicious attacks, network, traffic
    
Rohde & Schwarz Cybersecurity

Trust and Brand Management: Is the finance industry meeting consumer expectations?

Published By: Trustpilot     Published Date: Apr 11, 2018
In a survey of over 900 US and UK companies, Trustpilot compiled results from finance companies among the respondents to learn which initiatives they consider most important, what their 2018 priorities are, and whether or not trust plays a role in their business strategy. Trustpilot also conducted a global consumer poll throughout the month of January 2018 on Trustpilot.com to learn more about customers’ expectations when it comes to the finance industry, receiving over 15,000 responses. Those survey results provided a more detailed understanding of whether finance companies’ priorities are aligned with consumer expectations, while also getting a clearer picture of how trust and reputation should be approached. At the end of this report, in addition to the findings, recommendations are provided to finance companies based on the survey findings and analysis.
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trustpilot, finance, consumer expectations, business strategy, brand management, online reputation, consumer loyalty
    
Trustpilot

Inside BIGDATA Guide to Predictive Analytics

Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes.
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TIBCO Software

Inside BIGDATA Guide to Predictive Analytics

Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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TIBCO Software

Inside BIGDATA Guide to Predictive Analytics

Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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TIBCO Software

Delivering Hybrid Analytics at the Speed of Business: IBM Integrated Analytics System

Published By: Group M_IBM Q2'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q2'19

Alert Fatigue Reduction

Published By: Larsen & Toubro Infotech(LTI)     Published Date: May 30, 2019
US Based leading multinational mass media conglomerate had high volume of actionable tickets open for resolution and other related challenges for which LTI helped in building an event correlation system to find out the Root Cause Analysis of multiple events and analyse number of tickets. This was achieved by leveraging Mosaic Decision platform for processing. Benefits i. 60% reduction in incidents ii. 40% Time saved Download full case study.
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Larsen & Toubro Infotech(LTI)

Its Time: The Hidden Value of Unstructured Data

Published By: Expert System     Published Date: Jul 26, 2019
As companies increasingly recognize the business implications and actionable benefits of AI, the question becomes: How will you use AI for your business? Thanks to the Cogito platform based on AI algorithms, organizations can effectively support and improve unstructured information management and text analytics in order to: Leverage all information, combining internal knowledge with other information sources to extract relevant data Provide effective and real-time insight on strategic initiatives, partners and any third parties Mitigate and even completely avoid risks for operations, reputation, etc. through information analysis and monitoring Know what competitors are doing and intercept market trends Implement automation for the broader, more complex set of processes that involve data Free up teams to focus on more creative or critical activities inside the organization See the entire business through a different perspective
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Expert System

Know More, Sell More

Published By: ttec     Published Date: Jul 24, 2019
Data drives decision making across the enterprise. For sales executives, it’s critical to have information about where to focus outreach and understand what potential customers are looking for. But having data for its own sake won’t do much good. With advanced tools and a customerfocused mindset, companies are learning things about prospects never before possible. Thanks to advanced insights and machine learning that process algorithms and crunch millions of data points, new purchase patterns and propensity models are emerging to guide sales leaders as to what will work best for their business. Read this paper to learn how to act on advanced insight in the sales and marketing process. Highlights include: The enormous potential of new data tools and analysis Resources needed to act on the insight Company examples Strategic and operational recommendations
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ttec

2019 iovation Gambling Industry Report

Published By: Iovation     Published Date: Aug 02, 2019
iovation's 2019 Gambling Industry Report provides an in-depth analysis of the trends that drove gambling in 2018 and insights into driving Differentiation with Players in 2019.
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Iovation
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