machine learning

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Published By: Advizex     Published Date: Sep 25, 2013
The challenge of Big Data is more than a question of size; it’s about time to insight and action. With the exponential growth of unstructured data such as social media, video and the raw data generated by smartphones and other “intelligent” machines, businesses are buried under an avalanche of data that renders even best-effort analytics slow and sometimes unreliable. As many businesses are learning in this age of Big Data, it’s not just what you know, but when you know it and how much you trust it. Download this white paper and learn that with SAP HANA, companies can react intelligently at the speed of thought to capture new opportunities.
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sap hana, sap, real time analytics, raw data, generation, analytics, big data, business intelligence, trusting big data, insight, action, knowledge management, enterprise applications, data management
    
Advizex
Published 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
Published 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
Published By: IBM APAC     Published Date: Oct 16, 2018
The latest IBM POWER9 Server is built for the most demanding, data-intensive, computing on earth with an enhanced core and chip architecture. It provides scalability and flexibility to handle changing customer needs while being cloud-ready with industry-leading reliability and performance. The POWER9 Systems server family has servers that are available for different workloads, IT environments or budget. You can choose from an array of server options that include: - POWER9 for Enterprise – scale-up - POWER9 for AIX & IBM I – scale-out - POWER9 for Linux - POWER9 for SAP HANA - POWER9 for Enterprise AI, Deep Learning & Machine Learning Find out more about these servers to meet the business needs of tomorrow.
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IBM APAC
Published By: SAS     Published Date: Jul 01, 2019
Industry and technical experts discuss how to generate betterinsights, including how to surface HCCs with machine learning.
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SAS
Published By: Trend Micro     Published Date: May 03, 2018
Since the early days of the Gartner Magic Quadrant for this category, there have been successive waves of innovation. Back in 2002, integrated firewalls captured the market’s (and Gartner’s) attention. Over the years, we’ve seen technologies, such as full disk encryption, data loss prevention (DLP), behavioral detection, application control, and more recently, machine learning, as effective new ways to protect endpoints, detect threats and give security teams peace of mind. Trend Micro has consistently been part of these innovation waves. It’s clear that the market is excited about Endpoint Detection & Response (EDR). There are two drivers for this, and we are committed to delivering effective solutions in both areas.
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Trend Micro
Published By: Group M_IBM Q4'19     Published Date: Sep 27, 2019
Data quality tools are vital for digital business transformation, especially now that many have emerging features like automation, machine learning, business-centric workflows and cloud deployment models. This Magic Quadrant assesses 15 vendors to help you make the best choice for your organization.
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Group M_IBM Q4'19
Published By: Sift     Published Date: Jul 12, 2019
"As online fraud detection grows in complexity and demand, what qualities should security and risk management leaders look out for in a solution? Get key recommendations for navigating the online fraud detection market from Gartner Research. READ THIS GUIDE TO FIND OUT: Where the online fraud detection market is heading A list of vendors in the online fraud detection space, and their capabilities Recommendation for how to incorporate AI and machine learning into your fraud prevention approach "
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Sift
Published By: Sift     Published Date: Aug 29, 2019
As online fraud detection grows in complexity and demand, what qualities should security and risk management leaders look out for in a solution? Get key recommendations for navigating the online fraud detection market from Gartner Research. READ THIS GUIDE TO FIND OUT: Where the online fraud detection market is heading A list of vendors in the online fraud detection space, and their capabilities Recommendation for how to incorporate AI and machine learning into your fraud prevention approach
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Sift
Published By: Google - SAP     Published Date: Nov 01, 2019
"SAP has been ranked a leader in the latest Gartner Magic Quadrant for Configure, Price and Quote Application Suites (Nov 2018). According to Gartner, SAP is a Leader due to its comprehensive, integrated quote-to-cash suite, which includes lead generation, lead management, sales performance management and contract life cycle management. CallidusCloud was acquired by SAP in April 2018 and is now offered as a component of SAP Sales Cloud. SAP’s CPQ capabilities are built on .NET and offered as a multitenant SaaS solution. Key Quotes & Commentary: CRM solution integration: SAP CPQ integrates with Salesforce Sales Cloud, Microsoft Dynamics 365, SAP Hybris Sales Cloud, Netsuite and SugarCRM. This is a key point as it calms any potential fears customers might have about the openness of SAP’s Sales Cloud. Multichannel support: SAP CPQ supports direct sales, resellers and customer self-service channels with a comprehensive set of features. AI/Machine Learning. Product recommendation
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Google - SAP
Published By: Google - SAP     Published Date: Dec 02, 2019
"SAP has been ranked a leader in the latest Gartner Magic Quadrant for Configure, Price and Quote Application Suites (Nov 2018). According to Gartner, SAP is a Leader due to its comprehensive, integrated quote-to-cash suite, which includes lead generation, lead management, sales performance management and contract life cycle management. CallidusCloud was acquired by SAP in April 2018 and is now offered as a component of SAP Sales Cloud. SAP’s CPQ capabilities are built on .NET and offered as a multitenant SaaS solution. Key Quotes & Commentary: -- CRM solution integration: SAP CPQ integrates with Salesforce Sales Cloud, Microsoft Dynamics 365, SAP Hybris Sales Cloud, Netsuite and SugarCRM. This is a key point as it calms any potential fears customers might have about the openness of SAP’s Sales Cloud. -- Multichannel support: SAP CPQ supports direct sales, resellers and customer self-service channels with a comprehensive set of features. -- AI/Machine Learning. Product recommen
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Google - SAP
Published 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.
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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
Published By: DellEMC and Intel®     Published Date: Sep 25, 2017
Durch eine grundlegende Transformation von Mitarbeitern, Prozessen und Technologie können Unternehmen in der heutigen Innovationswirtschaft wettbewerbsfähig bleiben. Initiativen wie erweiterte Sicherheit, Betrugserkennungsservices, vernetzte Verbrauchergeräte im Internet der Dinge (IoT), Erfahrungen mit erweiterter oder virtueller Realität, Machine und Deep Learning sowie kognitiv befähigte Anwendungen fördern bessere Geschäftsergebnisse wie vorausschauendes Marketing und präventive Wartung. Intel Inside®. Neue Möglichkeiten Outside. Intel® Xeon® processor Ultrabook, Celeron, Celeron Inside, Core Inside, Intel, Intel logotyp, Intel Atom, Intel Atom Inside, Intel Core, Intel Inside, Intel Inside logotyp, Intel vPro, Itanium, Itanium Inside, Pentium, Pentium Inside, vPro Inside, Xeon, Xeon Phi och Xeon Inside är varumärken som tillhör Intel Corporation eller dess dotterbolag i USA och/eller andra länder
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ultrabook, celeron, celeron inside, core inside, intel, intel logotyp, intel atom, intel atom inside, intel core, intel inside, intel inside logotyp, intel vpro, itanium, itanium inside, pentium, pentium inside, vpro inside, xeon
    
DellEMC and  Intel®
Published 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.
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fraud, fraud prevention, uk fraud, fraud detection, machine learning
    
TIBCO Software
Published By: AWS     Published Date: Jul 24, 2019
Many business leaders know that Artificial Intelligence (AI) and Machine Learning (ML) are critical to their future but don’t know where to start. Those who do have an AI/ML strategy struggle to find qualified data scientists; and once they find them, even advanced data scientists need a lot of time—even months—to build and deploy ML models. These challenges put significant limits on the range and number of problems a business can solve. In this webinar, learn how H2O Driverless AI on Amazon Web Services (AWS) automates the best practices of leading data scientists to create advanced machine learning models automatically. With these production-ready models, relative newcomers to AI/ML can generate reliable results and scale-up AI programs that anticipate and capitalize on trends, optimize supply chains, understand customer demand, match consumers with goods and services, and much more. Download our webinar to learn Implement ML successfully with minimal data science expertise. Build
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AWS
Published By: GFT USA, Inc.     Published Date: Jun 26, 2019
Stream is GFT’s architectural framework on GCP that enables real time processing and analysis of structured and unstructured data using AI and Machine Learning (ML) to extract intelligence from data.
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GFT USA, Inc.
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: MarkLogic     Published Date: Jun 21, 2017
Remember Y2K – the IT “problem” that should have brought businesses to a screeching half? Despite the hype, the preparation led to widely documented business benefits and uncovered new opportunities that transformed organizations worldwide. Similarly in today’s highly regulated Financial Services industry, enabling GRC by integrating data from silos can be the driver for future business use cases like machine learning and anti-fraud detection services. GRC can be your catalyst for new opportunities. Listen in as our panel of financial services experts discuss the keys to reinventing your data strategy. We’ll cover: How to align your GRC strategy with a business transformation agenda How to ensure your organization’s approach to data management isn’t just a one-off solution, but a comprehensive one adaptable to changing regulations How to navigate the increasing regulatory demands for granular data security How to turn your compliance spend into new opportunities to earn revenue
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banking, financial services, data management, silos, data strategy, transparency, data governance, regulation, data architecture, compliance, reporting, business transformation, fraud, digital transformation
    
MarkLogic
Published By: KPMG     Published Date: Jul 10, 2018
As organisations increasingly leverage data, sophisticated analytics, robotics and AI in their operations, we ask who should be responsible for trusted analytics and what good governance looks like. Read this report to discover: • the four key anchors underpinning trust in analytics – and how to measure them • new risks emerging as the use of machine learning and AI increases • how to build governance of AI into core business processes • eight areas of essential controls for trusted data and analytics.
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KPMG
Published By: KPMG     Published Date: Jul 11, 2018
As organisations increasingly leverage data, sophisticated analytics, robotics and AI in their operations, we ask who should be responsible for trusted analytics and what good governance look like? Read this report to discover: • the four key anchors underpinning trust in analytics – and how to measure them • new risks emerging as the use of machine learning and AI increases • how to build governance of AI into core business processes • eight areas of essential controls for trusted data and analytics. Download the report now:
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KPMG
Published By: Avanade DACH     Published Date: May 08, 2018
In this six-step guide, we aim to help you solve your data challenges to prepare for advanced analytics, cognitive computing, machine learning and the resulting benefits of AI. We’ll show you how to get your data house in order, scale beyond the proof of concept stage, and develop an agile approach to data management. By continually repeating the steps in this guide, you’ll sharpen your data and shape it into a truly transformational business asset. You’ll be able to overcome some of the most common business problems, and work toward making positive changes: • Improve customer satisfaction • Reduce equipment outages • Increase marketing campaign ROI • Minimize fraud loss • Improve employee retention • Increase accuracy for financial forecasts
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Avanade  DACH
Published 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.
Published By: TIBCO Software     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
Published By: Riskified     Published Date: Mar 05, 2020
Get a closer look at how Riskified reviews orders for fraud, discover what tools go into the decision process and why machine learning is important to ensure fraud management never impedes growth. What you will get from this eBook: • Learn how Riskified mobilizes data to instantly discern good customers from bad actors • Find out how Riskified adapts to your industry, products, business flows, and geographies • See how proprietary and external tools enrich data to improve decision accuracy
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Riskified
Published By: DataCore     Published Date: Apr 23, 2019
The emphasis on fast flash technology concentrates much attention on hot, frequently accessed data. However, budget pressures preclude consuming such premium-priced capacity when the access frequency diminishes. Yet many organizations do just that, unable to migrate effectively to lower cost secondary storage on a regular basis. In this white paper, explore: • How the relative proportion of hot, warm, and cooler data changes over time • New machine learning (ML) techniques that sense the cooling temperature of data throughout its half-life • The role of artificial intelligence (AI) in migrating data to the most cost-effective tier.
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storage tiering, auto tiering, all-flash array, ssd, software defined storage, hyperconverged, data migration, storage migration
    
DataCore
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