enterprise learning

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By: TIBCO Software APAC     Published Date: Feb 14, 2019
With the new TIBCO Spotfire® A(X) Experience, we are revolutionizing analytics and business intelligence. This new platform accelerates the personal and enterprise analytics experience so you can get from data to insights in the fastest possible way. With the fusion of technology enablers like machine learning, artificial intelligence, and natural language search, the Spotfire® X platform redefines what’s possible for analytics and business intelligence, simplifying for everyone how data and insights are generated, consumed, and acted on. Download this whitepaper to learn more, then check out the new Spotfire analytics. It’s unlike anything you have ever seen. Simple, yet powerful, it changes everything.
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     TIBCO Software APAC
By: Cylance     Published Date: Mar 12, 2019
Today’s advanced cyber threats target every computer and mobile device, including enterprise endpoints, especially those that make up critical infrastructure like industrial control systems and embedded devices that control much of our physical world. The modern computing landscape consists of a complex array of physical, mobile, cloud, and virtual computing, creating a vast attack surface. Meanwhile, the cybersecurity industry is prolific with defense-in-depth security technologies, despite a threat landscape that remains highly dynamic, sophisticated, and automated. Cylance, however, takes a unique and innovative approach of using real-time, mathematical, and machine learning threat analysis to solve this problem at the endpoint for organizations, governments, and end-users worldwide.
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     Cylance
By: Hewlett Packard Enterprise     Published Date: Jul 19, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: Top 5 causes of downtime and poor performance across the infrastructure stack How machine learning and predictive analytics can prevent issues Steps you can take to boost performance and availability"
Tags : cloud, nimble storage, infrastructure
     Hewlett Packard Enterprise
By: Cisco     Published Date: Jul 08, 2016
Cisco's 2015 Mobility Landscape Survey provides new insights into how mobility is being approached by mid-market and enterprise organizations globally Specific objectives include: • Discovering insights into current strategy and future plans • Identifying priority mobility initiatives and top challenges • Learning how IT and Business leaders’ views, priorities and objectives align and differ • Building a global and local view from over 1400 respondents across 14 countries in every geography
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     Cisco
By: Hewlett Packard Enterprise     Published Date: Aug 23, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: -Top 5 causes of downtime and poor performance across the infrastructure stack -How machine learning and predictive analytics can prevent issues -Steps you can take to boost performance and availability
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     Hewlett Packard Enterprise
By: Dun & Bradstreet     Published Date: Mar 03, 2017
Stories and statistics behind successful analytics projects The adoption of analytics across the enterprise is accelerating, and with good reason. Analytics can offer a competitive advantage by helping to identify growth opportunities, circumnavigate risk and improve customer relationships. These insights are becoming crucial parts of the business strategy for executives representing a wide array of industries. Check out our latest eBook to see how some of the world’s leading companies are using analytics to meet their needs. You’ll receive diverse examples of how organizations applied the latest statistical methodologies, such as: scorecard build, regression, decision trees, machine learning and material change to uncover meaning in data. The examples represent global brands across critical industries – Financial Services, Insurance, High-Tech, Aerospace, Manufacturing and others – where analytics helped answer their most challenging questions.
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     Dun & Bradstreet
By: Tenable     Published Date: Feb 27, 2019
"Overwhelmed by the number of vulnerabilities your team faces? Uncertain which cyber threats pose the greatest risk to your business? You’re not alone. Cybersecurity leaders have been grappling with these challenges for years – and the problem keeps getting worse. On average, enterprises find 870 vulnerabilities per day across 960 IT assets. There just isn’t enough time or resources to fix them all. More than ever, it’s essential to know where to prioritize based on risk. Download the new whitepaper “Predictive Prioritization: How to Focus on the Vulnerabilities That Matter Most” to: -Learn how to focus on the 3% of vulnerabilities that have been – or will likely be – exploited -Uncover why CVSS is an insufficient metric for prioritization – and the key criteria you need to consider -Understand the Predictive Prioritization process, which uses machine learning to help you differentiate between real and theoretical risks Ensure you’re prioritizing the right vulnerabilities for your t
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     Tenable
By: Tenable     Published Date: Feb 27, 2019
"Overwhelmed by the number of vulnerabilities your team faces? Uncertain which cyber threats pose the greatest risk to your business? You’re not alone. Cybersecurity leaders have been grappling with these challenges for years – and the problem keeps getting worse. On average, enterprises find 870 vulnerabilities per day across 960 IT assets. There just isn’t enough time or resources to fix them all. More than ever, it’s essential to know where to prioritize based on risk. Download the new whitepaper “Predictive Prioritization: How to Focus on the Vulnerabilities That Matter Most” to: -Learn how to focus on the 3% of vulnerabilities that have been – or will likely be – exploited -Uncover why CVSS is an insufficient metric for prioritization – and the key criteria you need to consider -Understand the Predictive Prioritization process, which uses machine learning to help you differentiate between real and theoretical risks Ensure you’re prioritizing the right vulnerabilities for your t
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     Tenable
By: CA Technologies EMEA     Published Date: Sep 14, 2018
The misuse or takeover of privileged accounts constitutes the most common source of breaches today. CA Threat Analytics for PAM provides a continuous, intelligent monitoring capability that helps enterprises detect and stop hackers and malicious insiders before they cause damage. The software integrates a powerful set of user behavior analytics and machine learning algorithms with the trusted controls provided by CA Privileged Access Manager (CA PAM). The result is a solution that continuously analyzes the activity of individual users, accurately detects malicious and high-risk activities and automatically triggers mitigating controls to limit damage to the enterprise.
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     CA Technologies EMEA
By: IBM     Published Date: Apr 05, 2016
Learn why advanced analytics tools are essential to sustain a competitive advantage. This white paper reveals seven strategic objectives that can be attained to their full potential only by employing predictive analytics.
Tags : ibm, predictive analytics, enterprise evolution, analytics tools, applied organization learning, enterprise applications, data management
     IBM
By: SumTotal Systems     Published Date: Oct 10, 2013
E-learning is already known to be the most efficient and cost effective way to deliver training to a workforce. However, the best way to truly prepare employees for meeting organisational objectives is to focus the training on three major areas of skill development. Using a learning solution that is capable of delivering optimal training on each type of skill and checking for comprehension by examining the outcomes from other HR processes will drive performance within the company as employees develop their soft, functional and compliancebased skills.
Tags : e-learning, sumtotal, training, development, employee training, employee development, workforce, workforce management, skill development, human resources, hr technology, soft skill development, function skill development, compliance development, enterprise learning
     SumTotal Systems
By: CA Technologies     Published Date: Jul 20, 2017
Mainframes continue to provide high business value by combining efficient transaction processing with high-volume access to critical enterprise data. Business organizations are linking mobile devices to mainframe processing and data to support digital applications and drive business transformation. In this rapidly growing scenario, the importance of providing excellent end-user experience becomes critical for business success.This analyst announcement note covers how CA Technologies is addressing the need for providing high availability and a fast response time by optimizing mainframe performance with new machine learning and analytics capabilities.
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     CA Technologies
By: TIBCO Software APAC     Published Date: Aug 15, 2018
TIBCO Spotfire® Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms. Spotfire Data Science provides a complete array of tools (from visual workflows to Python notebooks) for the data scientist to work with data of any magnitude, and it connects natively to most sources of data, including Apache™ Hadoop®, Spark®, Hive®, and relational databases. While providing security and governance, the advanced analytic platform allows the analytics team to share and deploy predictive analytics and machine learning insights with the rest of the organization, white providing security and governance, driving action for the business.
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     TIBCO Software APAC
By: Pure Storage     Published Date: Apr 18, 2018
Data is the fuel driving rapid innovation powered by artifi cial intelligence. Enterprises need modern data platform purpose-built for machine learning, accelerating insight while simplifying complex data pipelines in analytics.
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     Pure Storage
By: Infor     Published Date: Mar 03, 2017
Analysts and industry experts agree: Digital disruption in manufacturing is on the horizon. Technologies like the Internet of Things, dynamic enterprise management, global supply chain visibility, and machine learning are already changing the way manufacturers produce goods and interact with customers. Further changes will continue to intensify issues and reveal opportunities.
Tags : cio, finance, digital, manufacturing, enterprise, enterprise applications
     Infor
By: Infor     Published Date: Mar 03, 2017
Analysts and industry experts agree: Digital disruption in manufacturing is on the horizon. Technologies like the Internet of Things, dynamic enterprise management, global supply chain visibility, and machine learning are already changing the way manufacturers produce goods and interact with customers. Further changes will continue to intensify issues and reveal opportunities.
Tags : cfo, finance, digital, manufacturing, enterprise, enterprise applications
     Infor
By: Pure Storage     Published Date: Oct 09, 2018
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data.
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     Pure Storage
By: MobileIron     Published Date: Apr 11, 2018
The enterprise landscape has changed dramatically with the influx of millennials — and their preferred devices — into the workforce. As a result, Macs that were once limited to mostly niche usage are now rapidly expanding their enterprise footprint. These devices require the same level of security and oversight that organizations apply to all of their other devices. Otherwise, the risk of leaving Macs either unmanaged or secured by point products creates security gaps that can leave the enterprise open to cyberattacks and compliance violations. The good news is, MobileIron makes it easy to secure Macs the same way all other devices in the enterprise are managed. No integrations, additional training, or learning curves are involved. The time has come for a modern approach to Mac management that is seamless for end users, improves operational efficiency, and simplifies IT operations across the entire device lifecycle. MobileIron makes it all possible.
Tags : macos, modern, work, era, devices, workforce, organizations
     MobileIron
By: Genesys     Published Date: Feb 21, 2018
In the ongoing evolution of the customer experience, organizations continue to rely on phone and email while introducing new customer engagement channels. With the channel mix rapidly changing, it has become more important than ever to accurately identify and proactively deploy the next-best channels for engaging customers today and tomorrow. Gartner Research has profiled 15 ways that organizations will engage customers over the next 20 years. This includes augmented reality, virtual reality and mixed reality immersive solutions which will be adopted by 20% of large enterprises by 2020. By learning which engagement channels will best meet your customers’ needs in the future and prioritizing those aligned with your business model, you can improve customer engagement and
Tags : gartner, customer engagement, customer experience, gartner research
     Genesys
By: IBM     Published Date: Jul 05, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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     IBM
By: Cohesity     Published Date: Mar 19, 2019
As an enterprise admin for over 20 years now, I have seen many technology successes, challenges, and even failures throughout my career. For all enterprise admins, learning is a critical element of job success, but so is sharing what you have learned with others. Today I am embarking on a series of posts where I will be sharing many technology challenges that could have been avoided with a proper backup strategy. From there we will touch on how a modern backup solution can protect your organization from the preventable issues I’ll be writing about.
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     Cohesity
By: The Starr Conspiracy     Published Date: Jun 23, 2017
Stop us if you’ve heard this one before: The learning management system is dead. The LMS is mentioned in learning the same way that people talk about applicant tracking systems in recruiting and performance evaluation solutions in talent management. They’re the technologies people love to hate. The solutions people want to love? Many times, these are the so-called “next-generation solutions.”
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     The Starr Conspiracy
By: MobileIron     Published Date: Feb 12, 2019
The types of threats targeting enterprises are vastly different than they were just a couple of decades ago. This paper examines some current mobile threat defense approaches to help organizations understand where traditional solutions may fall short — and how machine learning-based threat defense can expand upon those capabilities by providing immediate, on-device protection against mobile attacks.
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     MobileIron
By: Rosetta Stone     Published Date: Jul 05, 2017
The top clients of enterprise language learning companies consist of global companies that recognize the value of multilingual employees. While companies understand the necessity of language learning, there is room for improvement in incorporating language learning into corporate culture. This report looks at what companies are doing in the realm of language learning, to understand what best-in-class organizations are doing, and to provide businesses aspiring to be truly successful on a global stage with strategies for incorporating language learning into their business model. Forbes Insights and Rosetta Stone surveyed 214 executives around the globe to find out if and how companies are training their employees to speak and work in more languages and what impact that training has on both the employees and the company. In addition, the narrative is rounded out with in-depth interviews with executives and experts.
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     Rosetta Stone
By: Juniper Networks     Published Date: Aug 08, 2017
As enterprises embark on the digital transformation to take advantage of artificial intelligence, big data, machine learning, IoT, and cloud, they need a network infrastructure that gives them a solid foundation. Juniper Networks® Unite CloudEnabled Enterprise allows networking across your entire enterprise—campus, branch, and data center—ultimately helping you reduce risk, increase agility, lower costs, and enhance the customer experience. Here are the Top 6 reasons why enterprises embarking on the journey of digital transformation should switch to the Juniper Unite Cloud-Enabled Enterprise solution.
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     Juniper Networks
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