machine learning

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By: Citrix ShareFile     Published Date: Jul 02, 2019
Get the report to find out how smart organizations are using new strategies to simplify IT infrastructures and empower employees to do their best work: • Get advice from Google and Citrix on how to manage the cloud transition strategically • Avoid common cloud work side effects such as excessive application logins, siloed data searches, and channel switching • Capture a vision for how artificial intelligence (AI) and machine learning are making work even more intuitive and personalized
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     Citrix ShareFile
By: HP Inc.     Published Date: Jun 20, 2019
Four billion people now generate four quintillion bytes of data every day - and with the number of IoT devices set to increase to three times the global population by 2022 - volumes will only continue to rise. The challenge is processing the data. This is why machine learning, deep learning and all the other developing forms of AI must deliver the analytics toolset businesses need to compete.
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     HP Inc.
By: Google Cloud     Published Date: Feb 22, 2018
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     Google Cloud
By: Google Cloud     Published Date: Feb 22, 2018
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     Google Cloud
By: Google Cloud     Published Date: Feb 22, 2018
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     Google Cloud
By: Google Cloud     Published Date: Feb 22, 2018
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     Google Cloud
By: Google Cloud     Published Date: May 09, 2018
To the Cloud and Beyond: Big Data in the Age of Machine Learning
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     Google Cloud
By: Google Cloud     Published Date: May 09, 2018
LESSONS IN MACHINE LEARNING: EARLY ADOPTERS SHARE THEIR STRATEGIES
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     Google Cloud
By: Anaplan     Published Date: Apr 02, 2019
Connected organizations collaborate across business functions to dynamically steer business performance. Previous generations of planning software have fallen short of this vision, making collaboration difficult to achieve, scattering data across multiple sources, and providing inflexible planning models that require heavy IT support. This landscape motivated Anaplan to develop an innovative platform that enables Connected Planning across the entire enterprise. The FSN Innovation Showcase highlights three major innovations that support these objectives: • Anaplan’s proprietary Hyperblock® technology • The App Hub, a suite of 250+ industry-leading solutions • Developments in machine learning and artificial intelligence
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     Anaplan
By: Anaplan     Published Date: Apr 09, 2019
Connected organizations collaborate across business functions to dynamically steer business performance. Previous generations of planning software have fallen short of this vision, making collaboration difficult to achieve, scattering data across multiple sources, and providing inflexible planning models that require heavy IT support. This landscape motivated Anaplan to develop an innovative platform that enables Connected Planning across the entire enterprise. The FSN Innovation Showcase highlights three major innovations that support these objectives: • Anaplan’s proprietary Hyperblock® technology • The App Hub, a suite of 250+ industry-leading solutions • Developments in machine learning and artificial intelligence
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     Anaplan
By: SessionM     Published Date: Jan 24, 2018
Download Gartner’s latest Market Guide for Master Data Management of Customer Data Solutions to learn market definition, analysis and recommendations, the criteria necessary for evaluating marketing data management solutions and how master data sits in the middle of the 360° customer view.
Tags : customer engagement, unified customer profile, customer data platform, data orchestration, customer data activation, machine learning, data integration, personalization, cross-channel campaign management, single customer view, 360 profile, customer retention, customer loyalty, customer lifetime value, closed loop offers, next best offer, loyalty automation, loyalty platform, customer data management, customer data platform
     SessionM
By: Global Software     Published Date: Aug 13, 2018
Humans excel at tasks that require creativity, the opportunity to respond to the unexpected, and general attentiveness to the surrounding environment. Technology and machines, on the other hand, are built to process a lot of information quickly without getting bored; technology reliably completes the task it is assigned without deviation. The most powerful approach to adding technology to a team takes the strengths of both humans and technology into account and from that, creates a superior, collaborative system. For example, reporting software such as Spreadsheet Server and Atlas for Dynamics AX/365 by Global Software, Inc. both serve as machine learning intelligence that uses automation to reduce errors, while at the same time preserving humans’ ability to create reports and outcomes from the data the way they need to see it.
Tags : technology, machines, dynamics, global, software
     Global Software
By: TIBCO Software     Published Date: Sep 12, 2018
By processing real-time data from machine sensors using artificial intelligence and machine learning, it’s possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield. Read about our top data science best practices for becoming a smart manufacturer.
Tags : inter-company connectivity, real-time tracking, automate analytic models, efficient analytics, collaboration
     TIBCO Software
By: TIBCO Software     Published Date: Nov 12, 2018
The insurance industry stands on the precipice of change, with waves of innovation and disruption driving new possibilities across all departments, including pricing, underwriting, claims, and fraud. This webinar recording of a live panel debate is ideal for insurance professionals wanting to understand how best to unlock the possibilities created by advanced analytical techniques such as Artificial Intelligence (AI), Machine Learning (ML), and others. This TIBCO and Marketforce webinar on “The Fourth Industrial Revolution in Insurance” includes speakers Ian Thompson, chief claims officer at Zurich; David Williams, chief underwriting officer at AXA; and Clare Lunn, GI fraud director at LV=. The panel discusses: Moving towards the algorithmic insurer: the opportunities created by AI and ML How insurers can become more agile in the face of new innovations and disruptive technologies How the industry can turn structured and unstructured data into insights
Tags : agile insurance, customer experience, digital initiatives, analytical techniques
     TIBCO Software
By: TIBCO Software     Published Date: Oct 03, 2018
The Insurance industry continues to undergo significant transformation, with new technologies, business models, and competitors entering the market at an increasing rate. To be successful in attracting and retaining the most valuable customers, insurance companies must innovate and increase the speed at which they respond to customer demands. Traditionally, the insurance software market was dominated by a handful of specialist vendors with products that were initially expensive, difficult to deploy, costly to maintain, and did not provide the speed needed for today's market. Now there has been a shift away from these "black box" applications to platforms that allow insurers to make their algorithmic IP available to business users, allowing much faster response to business demands. The algorithmic platform approach also comes at a fraction of the cost of black box solutions, while delivering advanced analytical techniques like Machine Learning and Artificial Intelligence (AI).
Tags : artificial intelligence, machine learning, dynamic pricing, predictive claims, real-time fraud, contextual customer experience, operational effectiveness
     TIBCO Software
By: TIBCO Software     Published Date: Mar 04, 2019
In this podcast, Mark Hudson, event processing specialist in the office of the chief technology officer at TIBCO Software, discusses current financial industry challenges and the smartest ways of dealing with them. He explores the key elements missing from most of today’s solutions, and analyzes the business costs of regulation. Mark also explains how trade surveillance compares to market risk and payment surveillance and shares TIBCO’s uniquely effective approach to the industry. Podcast produced and edited by EM360.
Tags : trade surveillance, machine learning, fraud management
     TIBCO Software
By: TIBCO Software     Published Date: Feb 26, 2019
MoneyLIVE’s annual survey of over 600 banking professionals found that traditional banks face a significant challenge when it comes to building AI-powered customer journeys. 75% believe that as the use of AI intensifies, banks will struggle to recruit the necessary expertise. 84% fear regulatory and liability issues surrounding AI. Just 7% think their organization’s use of AI is highly sophisticated. But for banks to keep pace with challengers and FinTechs, it’s crucial that they harness this continually evolving technology. Download this chapter of MoneyLIVE's The Future of Retail Banking Report 2018/19 now and understand how TIBCO’s Connected Intelligence Platform, with the use of AI and machine learning algorithms, can help with banks’ digital transformation needs.
Tags : artificial intelligence, machine learning, financial services, retail banking
     TIBCO Software
By: TIBCO Software     Published Date: Mar 12, 2019
Fraud affects more than just your customers, it fundamentally destroys your reputation and has significant impact on your bottom line. In the first half of 2018, financial fraud from payment cards, cheques and remote banking totaled £358m in the UK alone, resulting from over a million incidents, an increase of more that 50% over the last 4 years. Have a look at this interesting Infographic to find out more.
Tags : fraud, fraud prevention, uk fraud, fraud detection, machine learning
     TIBCO Software
By: TIBCO Software     Published Date: May 16, 2019
Financial Services is an industry driven by disruption. Transformative business models such as low-cost brokerages, innovative investment products like ETFs, and the huge regulatory mandates like Gramm-Leach-Bliley are but a few examples. Here are some others: • New fintech firms such as a recent nine billion dollar investment in Ant Financial Services Group and myriad other venture capital-led fintech startups targeting well established segments across the financial services industry • Robo-advisor services powered by artificial intelligence and machine learning intermediating financial advisors and portfolio managers alike • Ever changing regulatory and risk management mandates, such as GDPR, Basel III, and Open Banking, transforming customer engagement and capital allocation Read this whitepaper to learn how you can overcome these and other disruptions.
Tags : data, applications, analytics, algorithms, innovation, cloud, technology, customer, banking
     TIBCO Software
By: TIBCO Software     Published Date: May 16, 2019
Banks globally are betting big on artificial intelligence and machine learning to give them the technological edge they need for more real-time, personalized and predictive banking services. A framework will help both differentiate early winners and provide them with sustained advantages in intelligence. Download this IDC Analyst Infobrief to learn about how the world’s best banks are becoming more personal, more predictive, and more real-time than ever. What you will learn: 8 trends that reflect bank’s readiness for connected intelligence 9 pitfalls to avoid & 9 ways to bridge the gaps The personal, real-time and predictive building blocks of AI & ML for banks Notable leaders based on IDC Financial Insights’ research and their respective use cases Essential guidance from IDC to leading banks
Tags : data, analytics, customer, banks, intelligence, capabilities, customers, insights, banking
     TIBCO Software
By: TIBCO Software     Published Date: Sep 16, 2019
Lo que aprenderá: • Aplicar la analítica avanzada y las técnicas de machine learning / IA a fin de optimizar procesos de manufactura complejos • De qué manera el control de procesos estadísticos de múltiples variantes puede ayudar a detectar las desviaciones en una base de referencia • Cómo monitorear el OEE en tiempo real y producir una vista de 360 grados de su fábrica Asimismo, el webinar también da cuenta de los casos de estudio de nuestros clientes que ya han implementado con éxito los modelos de optimización de procesos.
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     TIBCO Software
By: SailPoint Technologies     Published Date: Oct 01, 2019
Find out how government agencies can use machine learning and artificial intelligence to discover and prevent potential cybersecurity gaps and risks. Download the brief.
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     SailPoint Technologies
By: Oracle     Published Date: Oct 20, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most compani
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     Oracle
By: Iovation     Published Date: Aug 02, 2019
The digitalization of business processes and the advent of mobile computing have given rise to the next generation of fraud. Cybercriminals have a variety of tools and techniques—as well as opportunities—to steal money and services. Furthermore, traditional fraud prevention tools often fail to stop this fraudulent activity. Companies need a new approach to fraud prevention—one that stops fraud early and preserves the user experience. Companies with an online presence must have the ability to: Detect and respond to fraudulent activity before incurring losses Leverage human insight and machine learning to identify advanced fraud Work with other fraud analysts to identify larger fraud trends and stop cybercriminals on a global scale Block more fraud while reducing fraud prevention costs This book explores how companies can leverage a next-generation fraud prevention solution to stop more fraud while reducing costs and providing a positive user experience for trusted customers.
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     Iovation
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