Internal Engineering · internal
In-house
152 verified customer use cases (77% with quantified ROI · Avg Value Score 80.3 · 92% with mapped architecture components).
- Verified stories
- 152
- Quantified ROI
- 77%
- Avg value score
- 80.3
- Industries served
- 16
- Distinct products
- 472
In-house Sample Jun 12, 2024 KION Group KION's service technicians write maintenance reports for industrial trucks under time pressure, so the reports often contain abbreviations and colloquial wording that make them hard to read, translate, correct, and… annual savings in the 6-digit range Dremio · KION Analytics Platform (KAP) · MERLIN In-house Sample Jun 5, 2024 GSK GSK needs to extract actionable disease insights from rapidly growing genetic, genomic, clinical, and health datasets so it can predict patient risk and treatment response, prioritize experiments, and improve the speed… 15% increasing in the number of therapies that are approved for market UK Biobank · active learning · in-house algorithms In-house Sample May 28, 2024 Airbus Airbus needs faster, easier access to complex technical and manufacturing documentation across engineering, manufacturing, after-sales service, and other operations while meeting the aerospace sector's regulatory and… 600 use cases have been identified across Airbus in less than a year AI assistant for Standard Operating Instructions · base models · chatbot In-house Sample May 22, 2024 Mastercard Fraudsters steal payment card numbers through spyware, malware, card skimming, and other clandestine methods, then post partial card numbers on illegal websites, making it difficult to identify compromised cards quickly… increasing the speed of identifying merchants at-risk from - or compromised by - fraudsters by 300% Cyber Secure In-house Sample May 22, 2024 Munich Re Munich Re needed a practical way to automate insurance product implementation and underwriting-related product design for insurers whose processes were still manual, disconnected, and constrained by unstructured data,… a global team of more than 30 professionals REALYTIX ZERO · REALYTIX ZERO CoPilot In-house Sample May 22, 2024 Sanofi Drug development is long, resource-intensive, and uncertain, and Sanofi needed a better way to assess safety, efficacy, and competitive differentiation of drug candidates before advancing them into later clinical phases. 90% failure rate of new drug candidates during clinical development In-house Sample May 8, 2024 Mapfre Mapfre wanted to improve customer experience and streamline insurance operations such as claims handling, risk assessment, underwriting support, document management, internal knowledge access, and digital content… 75 use cases under study for the application of generative AI ControlExpert · Cyberwrite · Holistic AI In-house Sample May 2, 2024 BNP Paribas BNP Paribas trade finance operations, especially documentary credit, rely on large volumes of paper documents and manual data handling, creating slower processing, error risk, and compliance challenges in international… a documentary credit consists of up to 100 pages of printed, signed and stamped documents OCR (optical recognition) · artificial intelligence · machine learning In-house Sample Apr 22, 2024 MAPFRE Insurance MAPFRE Insurance needed a better way to detect fraudulent claims, especially in home insurance, while overcoming the scarcity and imbalance of historical fraud examples and avoiding exposure of sensitive personal data. Conditional Tabular Generative Adversarial Networks (CTGAN) In-house Sample Apr 16, 2024 Caterpillar Caterpillar needed to help engineers, developers, and Condition Monitoring Advisors work through large volumes of machine and proprietary data faster so they could detect equipment issues and prepare service… Condition Monitoring · GenAI In-house Sample Apr 9, 2024 ClearBank ClearBank needed to deploy multiple generative AI use cases for banking API workflows in a regulated financial environment while safeguarding security, robustness, transparency, bias control, and regulatory alignment. Large Language Models (LLMs) · evaluation pipeline · model experiment tracking system In-house Sample Mar 29, 2024 Lundbeck Lundbeck needed a faster, more efficient way to identify and qualify drug targets for migraine and other headache disorders because the biology is complex, there are thousands of possible genetic links and pathways to… 54 million electronic medical records Accenture’s large-scale clinical dataset · domain-specific knowledge graph · machine learning models In-house Sample Mar 19, 2024 Nationwide Nationwide needed to convert thousands of pages of highly technical veterinary information and decades of pet insurance experience into understandable, preventive pet health guidance for everyday pet owners. 40+ years Pet HealthZone · generative artificial intelligence (Gen AI) In-house Sample Mar 13, 2024 U.S. Department of Housing and Urban Development (HUD) HUD needed to keep housing assistance contract monitoring and renewals running despite a rigid mainframe-driven environment and government shutdown constraints, while also addressing procurement and HR bottlenecks… (2) GSA-assisted acquisitions LiveObjects · UiPath In-house Sample Mar 5, 2024 ServiceNow ServiceNow wanted to turn generative AI into a practical operating capability that could reduce support demand, speed agent work, and help developers complete software tasks more efficiently across internal digital… a 52% acceptance rate for generated code (text-to-code) Now Assist for Customer Service Management (CSM) · Now Assist for IT Service Management (ITSM) · Now Support In-house Sample Feb 23, 2024 Unilever Unilever wanted to transform legal service delivery so its global legal team could operate in a more efficient, simplified, digitally enabled way and improve operational effectiveness while supporting the business. generative AI tools In-house Sample Feb 19, 2024 GEA Industrial operators using GEA equipment need to increase output while consuming less energy and generating less waste under changing process conditions, tighter environmental standards, and talent scarcity. GEA also… 50% connection rate of new IIoT-ready installations by the end of the year CattleEye · GEA BetterBot AI · GEA Cloud In-house Sample Feb 1, 2024 Mastercard Mastercard needed to improve fraud detection for banks and cardholders as fraudsters increasingly exploit technology, while also reducing false positives that incorrectly flag legitimate transactions. 143 billion transactions a year Decision Intelligence · Decision Intelligence Pro In-house Sample Jan 9, 2024 Walmart Walmart wanted to give associates a consumer-grade digital experience and reduce time spent on drafting, summarization, and ideation so employees could focus on higher-value human work across its global business. 11 countries in 2024 My Assistant In-house Sample Dec 18, 2023 Target Target needs to keep products available across stores and digital channels while making shopping more personalized and efficient for guests, especially during high-demand periods such as the holiday season. Roundel · Target Circle · Target app In-house Sample Oct 27, 2023 Nationwide Nationwide Pet needed to turn thousands of pages of highly technical veterinary medical knowledge into clear, consumer-friendly content fast enough to meet demanding project timelines, so pet owners could get useful… 35,000 words of medicalized content Generative AI tool · Nationwide Pet HealthZone® In-house Sample Oct 10, 2023 Canadian Joint Warfare Centre (CJWC) CJWC wanted to reduce the extensive human effort required for strategic planning, content analysis, and other organizational tasks while preserving the integrity of human decision-making. public Generative artificial intelligence (GenAI) In-house Sample Sep 21, 2023 ServiceNow ServiceNow wanted to solve complex operational problems across IT, employee, sales, and developer workflows, starting with a need to make its IT service desk more efficient and then reduce manual work, improve… more than 15 Now Assist use cases to production AI Search · AI Search with GenAI · Generative AI Controller In-house Sample Sep 7, 2023 AT&T AT&T wanted to put generative AI into everyday employee workflows so software developers, engineers, finance teams, supply chain staff, HR, customer service, and fraud teams could work faster on code, data analysis,… in some cases 2x the speed, 1/2 the cost Ask AT&T · Falcon transformers · Meta LLaMA 2