predictive

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Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
" Aberdeem research has shown that when organizatins harneess the power of Flash, they are able to more effectively implement a digital transformation, build hybrid infrastructures, and gain increased agility and competitive advantage. In this eBook, we’ll explore how leading businesses can better their future with flash arrays that are Predictive, Cloud-Ready, and Timeles.. "
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Hewlett Packard Enterprise
Published By: TIBCO Software APAC     Published Date: Aug 13, 2018
TIBCO Spotfire is the premier data discovery and analytics platform, which provides powerful capabilities for our customers, such as dimension-free data exploration through interactive visualizations, and data mashup to quickly combine disparate data to gain insights masked by data silos or aggregations.
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TIBCO Software APAC
Published By: TIBCO Software APAC     Published Date: Aug 15, 2018
Produced in collaboration with INFOPRO Digital with participation from Capgemini MAINTENANCE MADE EASY WITH THE HELP OF DATA Predictive maintenance involves gathering targeted data for analysis, the results of which will help anticipate potential failures before they occur. Companies opt for this type of maintenance to avoid predictable incidents and repair equipment, assembly lines, or machinery with minimum impact on their operations.
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TIBCO Software APAC
Published 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
Published By: Splunk     Published Date: Sep 10, 2018
collectd is an open source daemon that collects system and application performance metrics. With this data, collectd then has the ability to work alongside other tools to help identify trends, issues and relationships not easily observable. Read this e-book to get a deep dive into what collectd is and how you can begin incorporating it into your organization’s environment.
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it event management, it event management tool, event logs, aiops platform, what is aiops, aiops vendor, market guide for aiops platforms, guide for aiops platforms, monitor end to end, itoa, aiops, predictive analysis, machine learning, event correlation, event management, it operations analytics, it analytics, ibm watson, hp monitoring, hp operations manager
    
Splunk
Published By: TIBCO Software APAC     Published Date: Aug 13, 2018
The combination of legislation, market dynamics, and increasingly sophisticated risk management strategies requires you to be proactive in detecting risks like fraud quicker and more effectively. Dynamic detection systems need to adapt to evolving compliance regulations, scale to deal with growing transaction volumes, detect sophisticated risk specific patterns, and reduce false-positives. TIBCO's Risk Management Accelerator uses a combination of predictive analytics, streaming analytics, and business process management to deliver a powerful and cost-effective system for detecting anomalies. Download this solution brief to learn more.
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TIBCO Software APAC
Published By: Genesys     Published Date: Jun 11, 2018
When you can anticipate customer needs, you can provide a customer experience that reduces frustration, increases satisfaction and creates better business results. Genesys Altocloud uses live analytics, powered by machine learning, to give you real-time insight into the customer experience. You can anticipate customer behavior, personalize journeys and use feedback to continuously tune your analytics to achieve desired business outcomes. Download the white paper and learn how to make better use of your analytics: • Automate responses that optimize the journey • identify and engage with customers before they contact you • Use predictive analytics and machine learning to drive outcomes
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customer needs, customer experience, customer behavior, customer journey
    
Genesys
Published By: 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
    
Cylance
Published By: Cylance     Published Date: Jul 02, 2018
The 21st century marks the rise of artificial intelligence (AI) and machine learning capabilities for mass consumption. A staggering surge of machine learning has been applied for myriad of uses — from self-driving cars to curing cancer. AI and machine learning have only recently entered the world of cybersecurity, but it’s occurring just in time. According to Gartner Research, the total market for all security will surpass $100B in 2019. Companies are looking to spend on innovation to secure against cyberthreats. As a result, more tech startups today tout AI to secure funding; and more established vendors now claim to embed machine learning in their products. Yet, the hype around AI and machine learning — what they are and how they work — has created confusion in the marketplace. How do you make sense of the claims? Can you test for yourself to know the truth? Cylance leads the cybersecurity world of AI. The company spearheaded an innovation revolution by replacing legacy antivirus software with predictive, preventative solutions and services that protect the endpoint — and the organization. Cylance stops zero-day threats and the most sophisticated known and unknown attacks. Read more in this analytical white paper.
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cylance, endpoint, protection, cyber, security
    
Cylance
Published By: Cylance     Published Date: Jul 02, 2018
Fileless attacks surged in 2017, largely due to their ability to bypass traditional antivirus solutions. Last year was host to several fileless malware victories. OceanLotus Group infiltrated Asian corporations during Operation Cobalt Kitty, and conducted nearly six months of fileless operations before detection. Ransomware hall-of-famers Petya and WannaCry both implemented fileless techniques in their kill chains. Every major player in information security agrees that fileless attacks are difficult to stop, and the threats are growing worse. Abandoning files is a logical and tactical response to traditional AV solutions which have overcommitted to file-intensive and signature-based blacklists. What can security solutions offer when there are no infected files to detect? How will a blacklist stop an aggressor that only uses legitimate system resources? The security landscape is changing and the divide between traditional AV products and next-generation security solutions is growing wider by the day. Cylance® has built a reputation on security driven by artificial intelligence and provides a frontline defense against fileless malware. This document details how Cylance protects organizations.
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malware, predictive, test, response
    
Cylance
Published By: Cylance     Published Date: Aug 22, 2018
Cylance engaged SE Labs to independently assess CylancePROTECT’s ability to predict and prevent previously unknown threats. SE Labs pitted the May 2015 version of CylancePROTECT® — without a cloud connection or updates — against some of the most destructive and disruptive threats that appeared between 2016 and 2018, after the model was trained and deployed.
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predictive, advantage, cylance, protect, cloud, connect
    
Cylance
Published By: CrowdTwist     Published Date: Apr 16, 2018
In order for brands to compete and provide the level of personalization consumers have already come to expect, marketers need to work quickly to develop competencies around their abilities to collect contextual and anticipatory insight and meet customers in the moments that matter most to them. Now is the time for marketers to invest in technology that supports data capture, segmentation, predictive analytics, and machine learning. With these capabilities in place, brands should be on track to build rich first party profiles of customers across all channels and maximize customer lifetime value by creating relevant experiences at all stages of the customer lifecycle.
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customers, predictive, branding, consumers, competition, lifecycle
    
CrowdTwist
Published By: SAP     Published Date: Feb 03, 2017
To better understand the benefits, costs, and risks associated with implementation of SAP Business Objects Analytics solutions, Forrester interviewed four organizations with multiple years of experience using these analytics solutions from SAP across one or more of the following key analytics areas: planning, business intelligence, and predictive analytics. A composite, or representative, organization was developed to provide the conclusions of this cost and benefit analysis.
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SAP
Published By: SAP     Published Date: Feb 03, 2017
To better understand the benefits, costs, and risks associated with implementation of SAP BusinessObjects Analytics solutions, Forrester interviewed four organizations with multiple years of experience using these analytics solutions from SAP across one or more of the following key analytics areas: planning, business intelligence, and predictive analytics. A composite, or representative, organization was developed to report cost and benefit findings
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SAP
Published By: Hewlett Packard Enterprise     Published Date: Feb 05, 2018
Applications are the engines that drive today’s digital businesses. When the infrastructure that powers those applications is difficult to administer, or fails, businesses and their IT organizations are severely impacted. Traditionally, IT assumed much of the responsibility to ensure availability and performance. In the digital era, however, the industry needs to evolve and reset the requirements on vendors.
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financial, optimization, hpe, predictive, analytics
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Mar 26, 2018
Businesses in every sector are increasingly reliant on applications to handle everything from back-end operations to the delivery of new products, services, and customer experiences. That is why infrastructure system availability and the elimination of unplanned downtime are more important than ever before. Recent research has shown that the average cost of an hour of downtime is about half-a-million dollars,1 and this will only increase with the continued digitization of industries.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: May 04, 2018
" Aberdeem research has shown that when organizatins harneess the power of Flash, they are able to more effectively implement a digital transformation, build hybrid infrastructures, and gain increased agility and competitive advantage. In this eBook, we’ll explore how leading businesses can better their future with flash arrays that are Predictive, Cloud-Ready, and Timeles.. "
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 19, 2018
"Enterprises depend on data to improve customer interaction, accelerate product development and run the back office. ?Is infrastructure complexity holding your applications back? ? Do your applications have instant access to data?"
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Hewlett Packard Enterprise
Published 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"
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cloud, nimble storage, infrastructure
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Feb 12, 2018
Understand how infrastructure complexity slows down data delivery and why flash storage alone addresses less than half of slow downs. HPE makes the data center of the future available today. There are thousands of customers that can benefit from InfoSight predictive analytics within the HPE Nimble Storage and HPE 3PAR platforms. Enterprises depend on data to improve customer interaction, accelerate product development and run the back office.
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Hewlett Packard Enterprise
Published By: SAS     Published Date: Jan 17, 2018
The Internet of Things can bring big benefits. But what exactly is IoT, and how are different industries taking advantage of it? This TDWI e-book explores in detail what IoT and the Industrial IoT (IIoT) do for retailers, the automotive industry, state and local governments working with utilities firms, and the manufacturing industry. Common themes include connectedness, data-driven insights, predictive capabilities and transformation.
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SAS
Published By: Pentaho     Published Date: Nov 04, 2015
Amid unprecedented data growth, how are businesses optimizing their data environments to ensure data governance while creating analytic value? How do they ensure the delivery of trusted and governed data as they integrate data from a variety of sources? If providing appropriately governed data across all your data sources is a concern, or if the delivery of consistent, accurate, and trusted analytic insights with the best blended data is important to you, then don’t miss “Delivering Governed Data For Analytics At Scale,” an August 2015 commissioned study conducted by Forrester Consulting on behalf of Pentaho.
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pentaho, analytics, platforms, big data, predictive analytics, data management, networking, it management, storage, business technology, data center
    
Pentaho
Published By: Pentaho     Published Date: Nov 04, 2015
This report explains the benefits that Hadoop and Hadoop-based products can bring to organizations today, both for big data analytics and as complements to existing BI and data warehousing technologies based on TDWI research plus survey responses from 325 data management professionals across 13 industries. It also covers Hadoop best practices and provides an overview of tools and platforms that integrate with Hadoop.
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pentaho, analytics, platforms, hadoop, big data, predictive analytics, data management, networking, it management, knowledge management, enterprise applications, data center
    
Pentaho
Published By: Pentaho     Published Date: Nov 04, 2015
Although the phrase “next-generation platforms and analytics” can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and today’s reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.
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pentaho, analytics, platforms, hadoop, big data, predictive analytics, networking, it management, knowledge management, data management
    
Pentaho
Published By: Hewlett Packard Enterprise     Published Date: Aug 23, 2018
Aberdeen research has shown that when organizations harness the power of Flash, they are able to more effectively implement a digital transformation, build hybrid infrastructures, and gain increased agility and competitive advantage. In this eBook, we’ll explore how leading businesses can better their future with flash arrays that are Predictive, Cloud-Ready, and Timeless..
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Hewlett Packard Enterprise
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