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● City of Fresno, an Oracle PeopleSoft ERP customer evaluated Oracle Cloud ERP

● MECCA Australia, a Microsoft Dynamics NAV customer evaluated SAP S/4HANA

● Southern Company, a Hitachi Ventyx FocalPoint customer evaluated AVEVA PI System

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● Florida State University, an Oracle PeopleSoft HCM customer evaluated Workday HCM

● Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

● Sunflower Bank, a Fiserv Signature Bank customer evaluated FIS Horizon

● California Polytechnic State University, an Oracle PeopleSoft ERP customer evaluated Oracle Cloud ERP

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● Habib Bank, an Finastra Misys FusionBanking Equation customer evaluated FIS Core Banking

● Washington State University, a Workday Time customer evaluated UKG Pro Timekeeping

● Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

● Harvard University, an Oracle PeopleSoft HCM customer evaluated Oracle Cloud HCM

● Michelin, an e2open customer evaluated Oracle Transportation Management

● Ahold Delhaize USA, an Oracle Retail Merchandising customer evaluated SAP Retail Management

● Ivy Tech Community College, a RNL ScaleFunder customer evaluated Virtuous CRM

● Indiana University, an Oracle PeopleSoft Global Payroll customer evaluated Workday Payroll

● Becker Industrie, a Microsoft Dynamics AX customer evaluated Microsoft Dynamics 365 F&O

● ASGC Group, an Oracle E-Business Suite customer evaluated Oracle Cloud ERP

● Fluke Corporation, an Oracle E-Business Suite customer evaluated SAP S/4 HANA

● Travelers, an Exterro Zapproved ZDiscovery customer evaluated LexisNexis CounselLink

● Zurich Insurance Group, a Guidewire ClaimCenter customer evaluated Duck Creek Claims

● Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

● Deutsche Rentenversicherung Bund, a SAP S/4 HANA HCM customer evaluated SAP SuccessFactors Employee Central

● Hendrick Automotive, an Oracle NetSuite Procurement customer evaluated Coupa Procurement

● Albertsons, a Procurant One customer evaluated Oracle Procurement Cloud

● JLG Industries, an Oracle JD Edwards EnterpriseOne customer evaluated Oracle Cloud ERP

● Coles Supermarkets, an Oracle Retek POS customer evaluated NCR Voyix Counterpoint

● Printpack, an Oracle JD Edwards EnterpriseOne customer evaluated Oracle Cloud ERP

● Hong Kong Polytechnic University (PolyU) , an Oracle E-Business Suite customer evaluated SAP S/4 HANA

● Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

● Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

● BDO Unibank, a Finastra Misys Opics customer evaluated ION IT2 Treasury

● Synovus Bank, a Q2 Digital Banking customer evaluated Apiture Digital Banking

● Department Of Homeland Security, an Oracle E-Business Suite customer evaluated SAP S/4HANA Cloud

● City of Richmond, VA, an Oracle E-Business Suite customer evaluated Tyler Munis ERP

● Marriott International, an Oracle PeopleSoft ERP customer evaluated Microsoft Dynamics 365 Business Central

● Pacific Coast Producers, an Oracle JD Edwards EnterpriseOne customer evaluated SAP S/4HANA Cloud

● First Citizens Bank, a Fiserv Signature Bank Platform customer evaluated FIS Core Banking

List of IBM Predictive Maintenance and Quality (PMQ) Customers

Ibm
Location
1 New Orchard Road,
Armonk, 10504, NY,
United States
Website
https://www.ibm.com/
Phone
1 914-499-1900
Artw industry
Professional Services
Employee
288300
Revenue
$60.5B

Since 2010, our global team of researchers has been studying IBM Predictive Maintenance and Quality (PMQ) customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.

Each quarter our research team identifies companies that have purchased IBM Predictive Maintenance and Quality (PMQ) for Quality Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.

Companies using IBM Predictive Maintenance and Quality (PMQ) for Quality Management include: NVIDIA, a United States based Manufacturing organisation with 36000 employees and revenues of $130.50 billion and many others.

Contact us if you need a completed and verified list of companies using IBM Predictive Maintenance and Quality (PMQ), including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.

The IBM Predictive Maintenance and Quality (PMQ) customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
NVIDIA Manufacturing 36000 $130.5B United States IBM IBM Predictive Maintenance and Quality (PMQ) Quality Management 2018 n/a In 2018, NVIDIA implemented IBM Predictive Maintenance and Quality to support Quality Management in its chip manufacturing operations. The engagement delivered a highly available and scalable enterprise AI and machine learning platform for chip fabrication, with multiple models deployed to production, and an explicit estimate of annual cost reduction of $8M while maintaining manufacturing quality. The implementation included onboarding new products into IBM Predictive Maintenance and Quality, working closely with engineering to build classification models, execute testing and validation cycles, and perform production deployment of those models. Parallel work with enterprise PTC Windchill PLM applied application upgrades and configurations, and produced deliverables such as BOM comparison tools, Design History Files, Automated Revision Sync up, a PLM Data Mart, PLM reports, and external contract manufacturer BOM packages to improve engineering efficiency. Integrations were executed across the manufacturing stack, including PLM bill of materials synchronization with SAP ERP and ERP integration services that exchanged contract manufacturer planning, commitment, and inventory data to improve demand and supply planning and build execution collaboration. The program also supported Product Information Delivery systems for customer download of drivers and content, and incorporated enterprise security by integrating IT systems into an Enterprise Password Vault and applying security best practices. Business intelligence and operational visibility were enabled through BI reports built with Tableau, SQL, Splunk, and Excel. Governance and operationalization emphasized close collaboration with engineering for requirements gathering, design, implementation, and validation of customizations, and established automated revision synchronization and PLM data governance patterns to control configuration and lifecycle data flows. IBM Predictive Maintenance and Quality was positioned as the core Quality Management application for predictive classification and operational monitoring, with production model rollouts coordinated alongside PLM and ERP integrations to align quality analytics with manufacturing and supply chain processes.
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Buyer Intent: Companies Evaluating IBM Predictive Maintenance and Quality (PMQ)

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FAQ - APPS RUN THE WORLD IBM Predictive Maintenance and Quality (PMQ) Coverage

IBM Predictive Maintenance and Quality (PMQ) is a Quality Management solution from IBM.

Companies worldwide use IBM Predictive Maintenance and Quality (PMQ), from small firms to large enterprises across 21+ industries.

Organizations such as NVIDIA are recorded users of IBM Predictive Maintenance and Quality (PMQ) for Quality Management.

Companies using IBM Predictive Maintenance and Quality (PMQ) are most concentrated in Manufacturing, with adoption spanning over 21 industries.

Companies using IBM Predictive Maintenance and Quality (PMQ) are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of IBM Predictive Maintenance and Quality (PMQ) across Americas, EMEA, and APAC.

Companies using IBM Predictive Maintenance and Quality (PMQ) range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 100%.

Customers of IBM Predictive Maintenance and Quality (PMQ) include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified IBM Predictive Maintenance and Quality (PMQ) customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Quality Management.