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Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
"Managing infrastructure has always brought frustration, headaches, and wasted time. That’s because IT professionals have to spend their days, nights, and weekends dealing with problems and manually tuning their infrastructure. Traditional monitoring and support are too far removed from infrastructure, resulting in an endless cycle of break-fix-tune-repeat. Infrastructure powered by artificial intelligence, however, can overcome the limitations of humans and traditional tools. This white paper explores how HPE InfoSight with its recommendation engine paves the path for an autonomous data center your Hybrid Cloud World."
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Hewlett Packard Enterprise
Published By: CA Technologies     Published Date: Apr 06, 2017
A number of high-profile security breaches over the last two years have highlighted the damage that a rogue systems administrator or stolen privileged credentials can cause. Today, fewer than half of all business organizations have deployed the type of privileged identity management (PIM) solution that could help improve the situation. This Ovum Decision Matrix (ODM) provides an in-depth view of the leading PIM solutions that are available to deal with these issues. It compares their technology, the market position each vendor has achieved, their ability to execute, and the overall maturity of each offering.
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data assets, risk management, it security, session management, authentication management, security intelligence, information management, infrastructure management
    
CA Technologies
Published By: Epicor Software Corporation     Published Date: Mar 21, 2017
Download Epicor BisTrack News and find out how you can best position your distribution company for profitable growth.
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erp, erp system, enterprise resource planning, business system, epicor bistrack, distribution software, business intelligence, builders merchants
    
Epicor Software Corporation
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
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
    
IBM
Published By: IBM     Published Date: Apr 20, 2017
Essentials for your organization’s first MDM deployment. IBM’s security platform provides the security intelligence to help organizations holistically protect their people, data, applications and infrastructure. IBM offers solutions for identity and access management, security information and event management, database security, application development, risk management, endpoint management, next-generation intrusion protection and more. IBM operates one of the world’s broadest security research and development, and delivery organizations.
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mobile security, mobile device management, enterprise data, application security, information security, communication interception, business data
    
IBM
Published By: IBM     Published Date: Oct 26, 2017
These days, fraudsters have it easier than ever. The volume of devices commonly in use and the numbers of applications and websites accessed daily have grown so large so fast that organizations can be overwhelmed in trying to protect their resources and their users. The result? Innocent—but sometimes devastating—errors. An organization may deploy only partial measures to protect against threats. And users may actively work around protection to avoid cumbersome security procedures.
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malware detection, fraud protection technology, user behavior, threat intelligence, fraud indicators
    
IBM
Published By: Lookout     Published Date: Aug 28, 2017
The world has changed. Yesterday everyone had a managed PC for work and all enterprise data was behind a firewall. Today, mobile devices are the control panel for our personal and professional lives. This change has contributed to the single largest technology-driven lifestyle change of the last 10 years. As productivity tools, mobile devices now access significantly more data than in years past. This has made mobile the new frontier for a wide spectrum of risk that includes cyber attacks, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps. A secure digital business ecosystem demands technologies that enable organizations to continuously monitor for threats and provide enterprise-wide visibility into threat intelligence.
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data protection, mobile risks, productivity tools, cyber attacks, device vulnerabilities
    
Lookout
Published By: Comcast Business     Published Date: Oct 19, 2018
Technology has had a truly transformative impact on the healthcare space. Thanks to innovations in technology, tools and their respective processes, the practice of treating patients has shifted from mostly reactive to proactive, enabling physicians and caregivers to approach healthcare in a more holistic fashion. As part of that shift, hospitals, wellness centers and physicians’ offices are focusing on providing value over volume1, taking healthcare beyond the four walls of the facility and into patients’ homes, places of work and social centers. The concept of whole health is much easier to attain with technology such as artificial intelligence, analytics, wearables and mobile health (mHealth) apps, to name a few.
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Comcast Business
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
Published By: Juniper Networks     Published Date: Jun 22, 2017
Juniper’s security solutions seamlessly extend across private and public cloud architectures without compromising security, flexibility, and manageability. With midrange, high-performance, space-efficient, next-generation firewalls, smarter and faster centralized management, and highly evolved security intelligence and automation tools, Juniper Networks allows you to secure your network, keep operational costs down, and easily migrate to a hybrid cloud architecture. For more information about Juniper’s security solutions, please visit us at www.juniper.net/us/en/products-services/security and contact your Juniper Networks representative.
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cloud analytics, cloud development, cloud storage, cloud management, cloud security, cloud services, storage analytics
    
Juniper Networks
Published By: Juniper Networks     Published Date: Aug 10, 2017
The dramatic growth of hybrid cloud deployments is creating new challenges for security professionals that can no longer be addressed with legacy technologies, policies and processes. As applications and data move fluidly between multiple clouds private, public and hybrid—organizations must take a unified approach to security that incorporates a range of products working hand in glove to reduce risk and protect the business.
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cloud, malware protection, compromised files, threat intelligence, security director, virtual firewall, atp, srx
    
Juniper Networks
Published By: Oracle     Published Date: Jul 11, 2017
Mobile, relationship intelligence, and sales coaching are necessities for today’s sales organization and are pervasive capabilities for every sales automation solution category. No vendor solely offers these capabilities without complementing them with other functions. Instead, they are embedded across the categories mentioned above. For example, sales content management providers cannot compete without extensive mobile expertise; market intelligence and customer success do not work without relationship intelligence; and sales coaching is not constrained only to the sales performance management vendors.
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sales content management, customer success, market intelligence, sales acceleration, sales performance management, partner relationship, contract life cycle
    
Oracle
Published By: Oracle APAC ZO OD Prime Volume HCM ABM Leads June 2017     Published Date: Jul 11, 2017
Mobile, relationship intelligence, and sales coaching are necessities for today’s sales organization and are pervasive capabilities for every sales automation solution category. No vendor solely offers these capabilities without complementing them with other functions. Instead, they are embedded across the categories mentioned above. For example, sales content management providers cannot compete without extensive mobile expertise; market intelligence and customer success do not work without relationship intelligence; and sales coaching is not constrained only to the sales performance management vendors.
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sales content management, customer success, market intelligence, sales acceleration, sales performance management, partner relationship, contract life cycle
    
Oracle APAC ZO OD Prime Volume HCM ABM Leads June 2017
Published By: Oracle APAC ZO OD Prime Volume SCM ABM Leads June 2017     Published Date: Jul 11, 2017
Mobile, relationship intelligence, and sales coaching are necessities for today’s sales organization and are pervasive capabilities for every sales automation solution category. No vendor solely offers these capabilities without complementing them with other functions. Instead, they are embedded across the categories mentioned above. For example, sales content management providers cannot compete without extensive mobile expertise; market intelligence and customer success do not work without relationship intelligence; and sales coaching is not constrained only to the sales performance management vendors.
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sales content management, customer success, market intelligence, sales acceleration, sales performance management, partner relationship, contract life cycle
    
Oracle APAC ZO OD Prime Volume SCM ABM Leads June 2017
Published By: Kronos     Published Date: Sep 20, 2018
If you’ve tried managing your retail operation’s labor performance without reliable, real-time data, you know the costly shortcomings of this approach. Tap into clear, easy-to-access workforce data — a single view of all elements of your workforce that empowers you to make effective decisions and protect your bottom line. Workforce Analytics for Retail transforms labor and sales data into meaningful business intelligence. Learn how managers can make data-driven decisions that optimize workforce utilization, control labor costs, and drive continuous improvement.
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Kronos
Published By: Pure Storage     Published Date: Jul 03, 2019
Deep learning opens up new worlds of possibility in artifi cial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifi cally to work with high-powered analytics.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence (AI). With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists are tackling new use cases like autonomous driving vehicles and natural language processing.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Deep learning opens up new worlds of possibility in artificial intelligence within the Financial Services industry, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to analyze and action data using artificial intelligence (AI). Financial services companies can greatly benefit from this leap forward in technology that enables unique insights into all aspects of the industry. With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists now have the ability to tackle complex problems and find credible and profitable solutions.
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Pure Storage
Published By: Q2 eBanking     Published Date: Jul 30, 2017
Many financial institutions see their customer data as one of their most valuable assets. Unlocking insights from that data helps FIs understand, anticipate and offer account holders the products and services they truly need. A major trend to unlocking customer insights is using machine learning to surface the behavioral intelligence buried in the large amount of account holder transactional data captured each and every day. In this paper, learn how a group of talented, enthusiastic analysts with an open approach to data can yield some very interesting and extremely valuable and actionable results. This approach, championed by Q2 Executive Vice President and CTO Adam Anderson, has led to a new platform, Q2 SMART, which provides powerful behavioral analytics for financial institutions, enabling growth while providing account holders with real value.
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Q2 eBanking
Published By: Google     Published Date: Dec 03, 2018
As businesses have embraced application development, they have also adopted cloud technologies that provide their teams lesser reliance on hardware. In this sponsored Economist Intelligence Unit report, we look at the real-life experiences of over 1,000 business executives and understand the importance of close alignment between development teams, C-suite, and the wider business. Read the report and find out how you can manage application development to unlock its full potential.
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Google
Published By: CA Technologies EMEA     Published Date: May 25, 2018
CA recently partnered with TechValidate to perform a research study that would help us to understand how organizations are leveraging our CA Project & Portfolio Management (CA PPM) solution to evolve their businesses. The study validated the changing role of the modern PMO.
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tech, validate, research, study, portfolio, management
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Sep 07, 2018
If you’re relying on manual processes for testing applications, artificial and automated intelligence (AI) and machine learning (ML) can help you build more efficient continuous frameworks for quality delivery. In this on-demand webinar, “Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices,” you’ll learn how to: Use AI and ML as the new, necessary approach for testing intelligent applications. Strategically apply AI and ML to your testing practices. Identify the tangible benefits of continuous intelligent testing. Reduce risk while driving test efficiency and improvement. This webinar offers practical steps to applying AI and ML to your app testing. The speaker, Jeff Scheaffer, is senior vice president and general manager of the Continuous Delivery Business Unit at CA Technologies. His specialties include DevOps, Mobility, Software as a Service (SaaS) and Continuous Delivery (CDCI).
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CA Technologies EMEA
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
SE Labs tested CylancePROTECT® in an offline environment against major threats that subsequently appeared in the wild. The test explores the product’s ability to prevent new threats from attacking endpoint systems successfully. CylancePROTECT contains technology designed to identify and block malware using what it claims to be an “artificial intelligence” (AI) model. This model can be updated over time. However, in this test we used the model created in May 2015 and did not permit further updates so that the software was unable to receive new models or edit the existing one. The test exposed systems protected by this older version of CylancePROTECT to very impactful threats discovered and reported widely after May 2015. In this way, the test shows to what extent the product was able to predict how future threats would appear. This “Predictive Advantage” (PA), the advantage that users of the product have against future adversaries, is presented in this report.
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malware, predictive, test, response
    
BlackBerry Cylance
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