predictive

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Published By: TIBCO Software     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
Published By: TIBCO Software     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
Published By: Splunk     Published Date: Aug 17, 2018
Imagine a world where incident alerts arrive 30 minutes before problems even begin — you’d actually have the power to prevent outages and deliver a truly seamless experience to your customers. Sound impossible? Think again — the right AIOps (Artificial Intelligence for IT Operations) solution can help you maintain uptime, reduce manual incident-management tasks and increase productivity.
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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
    
Splunk
Published By: Splunk     Published Date: Aug 17, 2018
IT organizations are now responsible for delivering seamless customer experiences while preventing outages and managing an increasing number of systems. With growing responsibility placed on IT, there is an opportunity to drive strategy for company-wide business processes and operations. Companies using machine data powered platforms like Splunk collect disparate data types to quickly troubleshoot and monitor systems. By adding predictive capabilities, IT can glean critical insights for the business and develop strategic initiatives on issues that matter. Download the white paper “Embracing the Strategic Opportunity of IT” to learn how to: Enable a business aware IT organization Unlock operational efficiencies Solve problems with predictive analytics
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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
    
Splunk
Published By: Splunk     Published Date: Aug 22, 2018
The world of artificial intelligence (AI) has finally arrived at the doorstep of IT operations. As organizations move toward using both big data and machine learning functionality to support a variety of IT operations, processes and tasks, artificial intelligence for IT operations (AIOps) platforms have emerged as a one-stop solution. Gartner has released a “Market Guide for AIOps Platforms” that provides findings about the AIOps industry and its latest developments. Download your complimentary copy to: *Gain insight into the developing industry of AIOps and its future *Learn how to optimize IT operations powered by machine learning to drive business value *Compare different AIOps platform vendors and their range of capabilities
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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
    
Splunk
Published By: Nokia     Published Date: Sep 18, 2018
This paper examines the benefits of using advanced machine learning models in predictive maintenance software for asset management of Power Utilities.
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machine learning, nokia, asset management, power & energy, power asset management, energy asset management, substation, electrical substation
    
Nokia
Published By: Oracle Marketing Cloud     Published Date: Oct 05, 2017
Marketing automation is quickly becoming a competitive necessity for most organizations. According to a recent Demand Gen Report, 42% of b2b marketers identified marketing automation as the tool they plan to test or deploy in 2016—beyond predictive analysis, account-based marketing, lead nurturing, and attribution modeling. Download this white paper to discover how to use marketing automation to attract, engage, and convert buyers across all marketing channels by streamlining workflow, monitoring social, and managing content.
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Oracle Marketing Cloud
Published By: Aberdeen Group     Published Date: Aug 04, 2015
The practice of using predictive analytics for marketing is becoming much more commonplace, but, in many ways, this field is still immature. Marketers are using analytics to identify new prospects, qualify leads, predict close rates, and optimize pricing, but there are still many ways to refine these methods -- along with many pitfalls to avoid. Download this white paper to learn how to win the B2B marketing analytics poker game.
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predictive analytics, leads, pricing, close rates, public data, social media, data analysis
    
Aberdeen Group
Published By: Dun & Bradstreet     Published Date: Jul 06, 2016
What’s the best analytic approach for your business?
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Dun & Bradstreet
Published By: Dun & Bradstreet     Published Date: Oct 21, 2016
It is important to understand the different business situations where traditional predictive analytics can be best applied and where anticipatory analytics may be a more appropriate approach to solve the business problem. One is not necessarily superior to the other – it’s about which methodology is best utilized in solving the specific business problem. Conventional response modeling, revenue potential modeling, wallet share analysis, traditional risk scoring and other analytic practices will always be important tools for businesses far-and-wide, but as more companies focus on analytics to inform growth, they’ll have employ the right team and identify the right partners to work with in order to successfully leverage anticipatory analytics to gain a competitive advantage. Looking forward, we anticipate anticipatory analytics playing an important role in your future. Download this white paper to learn more.
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Dun & Bradstreet
Published By: HERE Technologies     Published Date: Mar 06, 2019
On-demand companies rely on fast, accurate and robust mapping and location technologies to provide their users with a superior experience. Find out how real-time, predictive and historical traffic data can be applied to traffic-enabled routing algorithms to influence route calculations and automatically plot multiple routes with waypoints sequencing. Discover how HERE can help you communicate updated ETAs and provide an optimized experience to your drivers and customers.
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location data, transport & logistics, location services
    
HERE Technologies
Published By: KPMG     Published Date: Jun 06, 2019
HR’s most confident leaders are using data, predictive insights and AI to transform HR into a new value driver. Discover what it takes to become an HR transformation trailblazer. Read this report to discover: • how trailblazers are exploiting uncertainty to drive new competitive advantage • which technologies HR leaders are investing in • what it means to integrate human and digital labour in a collaborative workplace • six priorities for forward-looking HR leaders.
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KPMG
Published By: SAP     Published Date: Nov 22, 2017
To keep up with sweeping global economic and societal changes, public services organizations are undergoing significant technology-driven transformation. Aging populations, rapid urbanization, political instability, concerns about sustainability and resiliency, and changing worker and resident expectations are driving public services organizations to radically improve operations and service delivery. At the core of this transformation is the ability to collect and process vast amounts of data to help to improve outcomes and services. One way to generate this data is through the Internet of Things (IoT) — which IDC defines as a network of networks of uniquely identifiable endpoints or “things” that communicate without human interaction using IP connectivity. The IoT is a transformational technology that can reshape the public sector, enabling improved outcomes and new services such as remote patient monitoring, advanced traffic solutions and predictive policing.
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global, economic, societal, technology, driven, transformation, political
    
SAP
Published By: IBM     Published Date: Jun 16, 2015
Read the white paper to learn how a good data center strategy can help you prepare for the rigors and unpredictability of emerging technologies. Find out how IBM’s predictive analytics are helping companies build more accurate, forward-looking data center strategies and how those strategies are leading to more agile, efficient and resilient infrastructures.
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data center, predictive analytics, data center strategy, resilient infrastructure, cloud computing, social collaboration, business analytics, emerging technologies
    
IBM
Published By: IBM     Published Date: Jan 27, 2016
This paper describes how predictive analytics can play a critical role in your threat and risk strategy.
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ibm, threat, risk, management, security, analytics, fraud
    
IBM
Published By: IBM     Published Date: Jan 27, 2016
This white paper reveals seven strategic objectives that can be attained to their full potential only by employing predictive analytics.
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ibm, analytics, predictive, strategy, competitive advantage
    
IBM
Published By: IBM     Published Date: Jan 27, 2016
Forrester Research evaluated 13 big data predictive analytics solution vendors and IBM emerged as one of the three leaders. Learn why.
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ibm, forrester wave, big data, predictive analytics
    
IBM
Published By: IBM     Published Date: Jul 19, 2016
This video demonstrates how IBM’s Behavior Based Customer Insight for Banking leverages predictive analytics to help you personalize customer engagement and deliver customized actions. The solution leverages advanced predictive models to analyze customer transactions and spending behavior to more deeply understand customer needs and propensities, anticipate life events, and help provide a unique customer experience.
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ibm, banking, finance, consumer insights, business intelligence, business anlytics
    
IBM
Published By: IBM     Published Date: Jul 19, 2016
Learn new ways of analyzing digitally connected customers-from dynamic segmentation to the use of advanced analytics. With predictive tools, banks can analyze transactions and spending behavior to better understand customer needs, anticipate life events, and provide a unique experience.
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ibm, banking, finance, consumer insights, business intelligence, business anlytics
    
IBM
Published By: Intel     Published Date: Feb 28, 2019
Keeping the lights on in a manufacturing environment remains top priority for industrial companies. All too often, factories are in a reactive mode, relying on manual inspections that risk downtime because they don’t usually reveal actionable problem data. Find out how the Nexcom Predictive Diagnostic Maintenance (PDM) system enables uninterrupted production during outages by monitoring each unit in the Diesel Uninterrupted Power Supplies (DUPS) system noninvasively. • Using vibration analysis, the system can detect 85% of power supply problems before they do damage or cause failure • Information processing for machine diagnostics is done at the edge, providing real-time alerts on potential issues with ample of lead time for managers to rectify • Graphic user interface offers visual representation and analysis of historical and trending data that is easily consumable
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Intel
Published By: EMC Corporation     Published Date: Jul 07, 2013
Businesses that exploit Big Data to improve strategy and execution are distancing themselves from competitors. The Big Data solution from EMC provides market-leading, scale-outing storage, a unified analytics platform, and business process and application development tools. Together, these allow organizations to draw deeper insights and become a more predictive organization.
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emc, big data, strategy improvement, market leader, scale-outing storage, analytics platform, technology, application development
    
EMC Corporation
Published By: Workday     Published Date: Aug 07, 2018
Today, big data is everywhere. But only companies that know how to realize its true potential are gaining the competitive edge. Join HBR and Eric Siegel, author of Predictive Analytics: Who Will Click, Buy, Lie, or Die, to learn how you can transform data into insight, predict the future, and win.
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Workday
Published By: Nimble Storage     Published Date: Feb 26, 2016
Download this eBook to learn the steps you can take now to prepare for the all flash data center. flash storage, SSD, all flash data centers, nimble storage, predictive flash platform, application perfomance, data velocity
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flash storage, ssd, all flash data centers, nimble storage, predictive flash platform, application perfomance, data velocity, data protection
    
Nimble Storage
Published By: GE Power     Published Date: Oct 05, 2016
Ten Billion dollars in production is lost annually from unplanned downtime in the power sector. 95% of alarms don’t matter. In this eBook learn how power leaders are leveraging Asset Performance Management (APM) to drive less unplanned downtime, safer operations and a competitive edge with data and predictive analytics.
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power plant asset management software, plants operation management software, asset performance management system, emissions management software
    
GE Power
Published By: Fiserv     Published Date: Nov 09, 2017
Financial institutions seeking to attract new customers and revenue channels are expanding into digital services, real-time payments and global transactions. However, with every new service, criminals are developing innovative ways to infiltrate financial systems, and older technologies that mitigate fraud no longer work as effectively. So how can financial institutions respond to this growing threat? Fortunately, more advanced technologies hold great potential for real-time financial crime mitigation. Learn about five current and emerging technologies that could impact money laundering and fraud mitigation, including artificial intelligence/machine learning, blockchain, biometrics, predictive analytics (hybrid model) and APIs. Read the latest Fiserv white paper: Five Tech Trends That Can Transform How Financial Institutions Detect and Prevent Financial Crime.
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kyc, know your customer, beneficial ownership, financial crime, financial crimes, compliance, enhanced due diligence, suspicious activity report
    
Fiserv
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