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Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

List of Automated Insights Wordsmith Natural Language Generation Platform Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Associated Press Media 4500 $1.0B United States Automated Insights Automated Insights Wordsmith Natural Language Generation Platform Natural Language Processing 2015 n/a
In 2015, Associated Press implemented the Automated Insights Wordsmith Natural Language Generation Platform for Natural Language Processing to automate earnings coverage. The implementation was focused on converting structured quarterly earnings data into publishable news narratives, enabling the Associated Press to produce thousands of articles automatically and cover hundreds more quarterly earnings stories than previous manual efforts. This deployment centered on programmatic content generation for financial reporting, linking the application to newsroom workflows for rapid publication of earnings stories. Deployment emphasized a template driven NLG architecture, with structured data ingestion mapped to a template library and variable substitution to produce consistent editorial copy. Configuration work included editorial style guardrails, template versioning, and batch generation schedules aligned with earnings release cycles, while automation handled scale and repetitive copy creation. Automated Insights Wordsmith Natural Language Generation Platform was configured to produce first drafts and publishable output that fit newsroom quality requirements. Operationally the system was embedded into AP editorial production and publishing pipelines, routing generated text into downstream editorial review and content distribution processes. Governance was exercised through newsroom editorial oversight, template stewardship, and quality control checks to maintain journalistic standards. The Associated Press Automated Insights Wordsmith Natural Language Generation Platform Natural Language Processing relationship supported the business function of automated earnings reporting and scalable news production.
Bodybuilding.com Retail 700 $140M United States Automated Insights Automated Insights Wordsmith Natural Language Generation Platform Natural Language Processing 2016 n/a
In 2016 Bodybuilding.com deployed Automated Insights Wordsmith Natural Language Generation Platform to generate personalized weekly digests that describe each user’s week at the gym, using Natural Language Processing to convert activity metrics into narrative content. The deployment targeted personalized content generation for customer engagement and e-commerce personalization, aligning the Automated Insights Wordsmith Natural Language Generation Platform with existing analytics objectives at Bodybuilding.com. The implementation configured Wordsmith to consume aggregated workout metrics and behavioral signals produced by Bodybuilding.com’s statistical and data warehouse teams, augmenting internal analytics capacity with template driven natural language generation and personalization logic. Functional capability emphasis included automated narrative assembly, template parameterization for individual users, and scheduled generation to support a weekly cadence of user narratives. Operational integration centered on linking Wordsmith outputs into Bodybuilding.com distribution workflows and engagement funnels, with coverage focused on user level personalization rather than back office processing. The scope of impact included e-commerce and customer engagement functions, where the generated narratives were intended to provide contextualized interpretation of numeric metrics for end users. Governance and ownership rested with the e-commerce leadership team, with Senior Vice President of E-Commerce Jamie Loehr driving the decision to augment internal teams with Automated Insights technology. Loehr noted the value of the generated verbiage, the context that the words gave to the numbers, and positioned Wordsmith as a complement to Bodybuilding.com’s in-house statistical skills rather than a replacement of core analytics staff.
NVIDIA Manufacturing 36000 $130.5B United States Automated Insights Automated Insights Wordsmith Natural Language Generation Platform Natural Language Processing 2016 n/a
In 2016, NVIDIA implemented Automated Insights Wordsmith Natural Language Generation Platform to augment marketing analytics directly inside their Tableau dashboards. The deployment leverages Wordsmith as a Natural Language Processing platform to generate automated narrative explanations of marketing metrics and visualizations, embedding written insights alongside charts within Tableau. The implementation concentrated on data driven narrative templates and automated content generation integrated into marketing analytics workflows, with Wordsmith configured to pull dashboard metrics and render context aware narratives for analysts and stakeholders. Integration with Tableau centralized narrative production in reporting, and governance was organized around marketing analytics owners who controlled templates, content rules, and the embedding of Wordsmith generated narratives into dashboards.
Professional Services 11000 $1.5B United States Automated Insights Automated Insights Wordsmith Natural Language Generation Platform Natural Language Processing 2017 n/a
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Buyer Intent: Companies Evaluating Automated Insights Wordsmith Natural Language Generation Platform

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Automated Insights Wordsmith Natural Language Generation Platform. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Automated Insights Wordsmith Natural Language Generation Platform for Natural Language Processing include:

  1. HTC Corporation, a Taiwan based Manufacturing organization with 2173 Employees

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FAQ - APPS RUN THE WORLD Automated Insights Wordsmith Natural Language Generation Platform Coverage

Automated Insights Wordsmith Natural Language Generation Platform is a Natural Language Processing solution from Automated Insights.

Companies worldwide use Automated Insights Wordsmith Natural Language Generation Platform, from small firms to large enterprises across 21+ industries.

Organizations such as NVIDIA, Vivint, Associated Press and Bodybuilding.com are recorded users of Automated Insights Wordsmith Natural Language Generation Platform for Natural Language Processing.

Companies using Automated Insights Wordsmith Natural Language Generation Platform are most concentrated in Manufacturing, Professional Services and Media, with adoption spanning over 21 industries.

Companies using Automated Insights Wordsmith Natural Language Generation Platform are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Automated Insights Wordsmith Natural Language Generation Platform across Americas, EMEA, and APAC.

Companies using Automated Insights Wordsmith Natural Language Generation Platform range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 25%, large organizations with 1,001-10,000 employees - 25%, and global enterprises with 10,000+ employees - 50%.

Customers of Automated Insights Wordsmith Natural Language Generation Platform 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 Automated Insights Wordsmith Natural Language Generation Platform customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Natural Language Processing.