AI Buyer Insights:

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

List of IBM Watson Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Ancestry Operations Professional Services 1300 $1.0B United States IBM IBM Watson Cognitive Computing 2021 n/a
In 2021, Ancestry Operations implemented IBM Watson as part of a Cognitive Computing initiative to modernize finance and planning workloads. The deployment accompanied a move from on-premises infrastructure to IBM Cloud and was led operationally by Jose Balitactac, Financial Planning and Analysis Applications Manager, who serves as the point of contact for IBM applications including Planning Analytics with Watson and Cognos Analytics. Ancestry uses IBM Planning Analytics with Watson, Cognos Analytics and Watson alongside IBM Watson to build finance applications for income statement, balance sheet and cash flow modeling, and to manage discrete modules for workforce, revenue and CapEx. The team validated the approach by starting with the income statement as a test case, then building a workforce module, a revenue module and a CapEx module before expanding to integrated enterprise planning. Functional workflows implemented include budgeting, labor cost planning, subscriptions and revenue forecasting, and supply chain planning for DNA operations. Architecturally Planning Analytics with Watson is hosted on IBM Cloud and serves as an analytics engine and data source for Cognos, with a newly built Cognos data feed and work underway to surface Planning Analytics as a mobile Cognos data source. Integrations explicitly implemented include Cognos Analytics consuming Planning Analytics data and mobile app deployment of Cognos visualizations, enabling analysts to access models without taking systems offline. Operational coverage focuses on accounting and financial planning departments and global analyst teams operating across multiple time zones. Governance and rollout followed a staged module approach under Balitactac's stewardship, enabling change management that avoids user ejection during updates and supports real-time parameter changes. Prior processes required taking systems offline for one to eight hours and forecasting cycles could take two weeks, now parameter and code changes execute in minutes or seconds and forecasting occurs interactively. The implementation emphasizes rapid what-if analysis, real-time access for accounting and financial planning, and enterprise planning orchestration using IBM Watson and related IBM analytics products.
ANZ Bank Banking and Financial Services 43094 $13.4B Australia IBM IBM Watson Cognitive Computing 2016 n/a
In 2016, ANZ Bank expanded its deployment of IBM Watson under a Cognitive Computing initiative across advisory, risk, and back office automation. The bank continued to extend IBM Watson beyond its initial public profile from 2013, moving the advisor-facing cognitive tool from the Sydney Grow centre into the Melbourne Grow centre and broadening use cases into lending and operations worldwide. ANZ trained IBM Watson by ingesting product disclosure statements, market data, financial statements and terms and conditions, and by creating a customer query thesaurus and a thousands-long list of likely advisor questions to tune natural language understanding. In advisory workflows Watson was configured to match products to customer life events such as weddings, deaths and property purchases, enabling financial advisors to surface contextually relevant guidance while remaining part of the customer interaction. The Cognitive Computing deployment was integrated with an external intelligent risk scoring and pricing platform from Experian for lending decisions, with the first Experian implementation live in personal and unsecured loans. The combined configuration delivered stated operational outcomes including a five percent reduction in approval times, a 50 percent increase in automation that produced immediate answers for around 150,000 additional applicants, and removal of approximately 1,000 hours of back office activity. Separately ANZ deployed robotic automation for payments investigations that reduced document search steps from 38 to five, lowered inbound resolution time by 80 percent and outbound resolution time by 50 percent, and completed 80 percent of investigations on the same day, with 529 robots reported in production globally. Governance and operational tuning relied on a self learning feedback loop, where lending approvals and outcomes were used to retrain models and reduce manual effort in middle and back office workflows. ANZ’s CTO emphasized that automation complemented human staff rather than replacing them, positioning IBM Watson and supporting robotic automation as tools to augment advisory, risk scoring and straight through processing capabilities across the bank.
BOC Australia Pty Ltd Oil, Gas and Chemicals 4000 $1.3B Australia IBM IBM Watson Cognitive Computing 2016 n/a
In 2016 BOC Australia Pty Ltd deployed IBM Watson to address extremely high e-invoice rejection rates on one of its largest commercial accounts, using the IBM Watson Supply Chain service within the Cognitive Computing category. The engagement targeted a persistent operational friction point where a decade of trading partner integration yielded invoice rejection rates above 80 percent and generated substantial manual credit and debit note activity. The implementation centered on IBM Watson Supply Chain capabilities to track delivery evidence and perform invoice to fulfillment matching, ensuring purchase orders, advanced shipping notifications and issued e-invoices aligned with customer receipt events. Configuration emphasized automated matching and exception detection so that invoices were only issued when order, shipment and delivery signals were consistent, reducing manual reconciliation workload and repetitive correction cycles. Integration architecture placed IBM as a trading partner platform between BOC systems and the customer procurement landscape, the customer having migrated its integration to SAP Ariba. Customer orders originate in the customer ERP, flow through the IBM trading partner platform into BOC systems for fulfillment, and IBM mediates communications in both directions while remaining invisible to the customer. BOC transitioned the integration responsibility from an in-house capability to an outsourced integration model operated by IBM Australia. Governance and process changes included centralizing trading partner communications through the IBM platform and embedding matching checks into the invoicing workflow to alter upstream timing and information requirements for invoicing. The project delivered explicit outcomes, invoice rejection rates fell from over 80 percent to less than five percent, BOC issued 62 percent fewer manual credits and received 68 percent fewer manual debits. Separately, BOC ran a small business invoicing initiative using Link4 to send e-invoices into customers cloud accounting systems, shifting customer payment behavior from 60 percent paying after the due date to 60 percent paying on or before the due date.
Banking and Financial Services 82000 $19.0B France IBM IBM Watson Cognitive Computing 2018 n/a
Manufacturing 200 $35M Italy IBM IBM Watson Cognitive Computing 2021 n/a
Government 18245 $15.9B United Kingdom IBM IBM Watson Cognitive Computing 2018 n/a
Insurance 82599 $79.6B France IBM IBM Watson Cognitive Computing 2016 n/a
Non Profit 100 $12M United States IBM IBM Watson Cognitive Computing 2016 x
Banking and Financial Services 8000 $1.3B Malaysia IBM IBM Watson Cognitive Computing 2016 n/a
Banking and Financial Services 52554 $3.8B Japan IBM IBM Watson Cognitive Computing 2015 n/a
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Buyer Intent: Companies Evaluating IBM Watson

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating IBM Watson. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating IBM Watson for Cognitive Computing include:

  1. Isis Papyrus America, a United States based Professional Services organization with 20 Employees
  2. West Plains Electric Controls And Automation, a United States based Manufacturing company with 23 Employees
  3. Modern Aviation, a United States based Transportation organization with 210 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

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FAQ - APPS RUN THE WORLD IBM Watson Coverage

IBM Watson is a Cognitive Computing solution from IBM.

Companies worldwide use IBM Watson, from small firms to large enterprises across 21+ industries.

Organizations such as Generali Group, The Hartford Insurance Group, Credit Mutuel, Department for Transport and ANZ Bank are recorded users of IBM Watson for Cognitive Computing.

Companies using IBM Watson are most concentrated in Insurance, Banking and Financial Services and Government, with adoption spanning over 21 industries.

Companies using IBM Watson are most concentrated in France, United States and United Kingdom, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of IBM Watson across Americas, EMEA, and APAC.

Companies using IBM Watson range from small businesses with 0-100 employees - 6.67%, to mid-sized firms with 101-1,000 employees - 20%, large organizations with 1,001-10,000 employees - 26.67%, and global enterprises with 10,000+ employees - 46.67%.

Customers of IBM Watson 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 Watson customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Cognitive Computing.