Databricks Sample Dec 11, 2025 IndusInd Bank IndusInd Bank needed a better way to support real-time banking analytics, hyper-personalization, and AI-first decisioning because the legacy warehouse could not refresh, unify, or operationalize enterprise data fast… 1,200+ reports and dashboards supported Agent Bricks · Databricks Data + AI Platform · Delta Lake 
IBM Sample Dec 10, 2025 Tech Mahindra Tech Mahindra needed a way to extract value from long, complex, unstructured enterprise documents while also proving that generative-AI outputs could be governed, explained, and trusted in regulated customer… 30% productivity improvement IBM Deep Search · IBM Granite 13b · IBM watsonx.ai IBM Sample Dec 10, 2025 Global Pharmaceutical Manufacturer A global pharmaceutical manufacturer needed faster, more standardized supply-chain risk analysis because manual classification, fragmented documentation, and limited visibility into alternate suppliers and materials… >1500 risk events assessed, triaged and escalated to executives as needed AWS cloud services · IBM watsonx · IBM watsonx Orchestrate 
In-house Sample Dec 9, 2025 Telefónica España Telefónica Spain needed a more accurate and efficient way to plan rural fiber deployments because conventional planning tools struggled to predict optimal routes, physical obstacles, required resources, and realistic… Level 4 of the TMF framework IBM Sample Dec 9, 2025 Tokio Marine & Nichido Anshin Life Insurance Anshin Life wanted to use customer feedback to improve operations and service quality, but manually reading and classifying up to 18,000 unstructured feedback entries each year was slow, inconsistent, and difficult to… 500 hours of work per year reduced IBM Client Engineering · IBM watsonx.ai IBM Sample Dec 9, 2025 LDS Łazewski Depo & Partners LDS needed to reduce the time, cost and risk involved in manual patent searches and drafting work so its attorneys could protect clients' intellectual property more efficiently without sacrificing accuracy or data… over 40 IP professionals IBM watsonx.ai 
OpenAI Sample Dec 9, 2025 Scout24 Scout24 needed to move beyond keyword real-estate search so seekers could get guided help, listings, and recommendations that better reflected how people actually explore where and how they want to live. GPT‑5 powers Scout24’s conversational search assistant HeyImmo GPT-5 · HeyImmo 
Alibaba Cloud Sample Archived · Dec 8, 2025 and factory, inc With domestic e-book growth slowing, Japan’s manga industry faces a pivotal shift toward global expansion. The success depends on transforming manga for a global audience, which requires sophisticated localization,… Manga production tasks that previously required 3 days were now reduced to just 1 day , freeing creators from… Auto Scaling · Container Registry · Elastic IP Address Databricks Sample Dec 8, 2025 TMAP Mobility However, their existing data environment was poorly suited to efficiently manage such massive data volumes. 48% Of employees can now directly access and use data Genie 
Snowflake Sample Archived · Dec 6, 2025 Red Sea Global consolidate dozens of disconnected data environments so teams could understand visitor journeys, operations, and sustainability performance and use agentic AI without growing the data team. 100s Of hours saved through Agentic AI Apache Iceberg · Cortex AI · Snowflake 
Capgemini Sample Dec 5, 2025 German Federal Employment Agency The BA needed a privacy-compliant way to reduce the manual effort of turning Requests for Change and user stories into high-quality Jira tickets under increasing workload and limited staff capacity. Aleph Alpha · CrewAI · Jira Databricks Sample Dec 5, 2025 CodaMetrix CodaMetrix needed a better way to support autonomous medical coding from clinical documentation through billing submission because poor observability, fragmented tooling, and strict PHI governance requirements made it… 30% reduction in aws compute costs Databricks Data + AI Platform · Databricks SQL · Delta Lake 
NVIDIA Sample Dec 4, 2025 Hippocratic AI Hippocratic AI needed to scale safe, empathetic patient outreach and follow-up without adding clinician workload, but real-time voice inference, safety review, and HIPAA-sensitive operations created demanding latency… 100,000 patients in one day Amazon SageMaker HyperPod · NVIDIA H200 Tensor Core GPUs · Polaris constellation architecture IBM Sample Dec 3, 2025 University of Tasmania UTAS needed to reduce the time students, researchers, and staff spent navigating course materials, research documentation, ethics approvals, and administrative submissions because manual academic workflows were slowing… 88% application success rate achieved through agent-automated processing IBM Cloud · IBM watsonx Orchestrate · IBM watsonx.ai IBM Sample Dec 3, 2025 CEMIG CEMIG needed to improve service quality and accessibility for millions of customers across digital and traditional channels, especially in rural and underserved areas where preferences, infrastructure, and digital… 1.1 million monthly WhatsApp messages Hugging Face · IBM Consulting · IBM watsonx Assistant Snowflake Sample Archived · Dec 2, 2025 Matillion reduce the manual, repetitive work of building and maintaining data pipelines so smaller teams can deliver analytics faster and at lower cost. 50% reduction in analyst workload Cortex AI · Cortex Search · Snowflake Alibaba Cloud Sample Dec 1, 2025 People's Posts and Telecommunications Press (人民邮电出版社有限公司) People's Posts and Telecommunications Press had already launched multiple AI scenarios across content production, reader services, and public-interest education, but it needed one governed way to deploy and call… AI Gateway · ARMS-Prometheus · Cloud Architecture Design Tool (CADT) OpenAI Sample Dec 1, 2025 Mirakl Mirakl wanted AI to become a company-wide capability that speeds internal work, improves support, and removes friction from marketplace catalog onboarding so retailers can move toward agent-driven commerce. 37% efficiency improvement in customer support while maintaining 96% customer satisfaction Catalog Transformer · ChatGPT Enterprise · Mirakl Nexus In-house Sample Nov 28, 2025 Target Target wanted to reduce holiday shopping stress and help guests discover relevant gifts and deals faster through more personalized, conversational, and low-friction digital experiences during Cyber Monday. 68% of shoppers say they plan to use social media, lists and AI to aid their gift search this season. List Scanner · Target App in ChatGPT · Target Deals Page IBM Sample Nov 27, 2025 nybl nybl needed a safer and more reliable way to inspect industrial assets because manual inspections in remote or hazardous environments were slow, costly and hard to govern at scale. 20% increase in grid uptime IBM Maximo Visual Inspection · IBM watsonx.governance · n.vision Capgemini Sample Nov 26, 2025 UNICEF Generation Unlimited UNICEF wanted to help young people in Brazil find practical green-skills pathways and climate-action opportunities instead of leaving their sustainability interest disconnected from education and work options. 44% feel equipped with the skills to make an impact Amazon Bedrock AgentCore · Amazon SageMaker AI · Green Career Assistant In-house Sample Nov 26, 2025 Heartflow Diagnosing coronary artery disease from coronary CTA scans is labor-intensive, can take hours for specialists, and often yields subjective conclusions, creating a need for faster, more objective functional assessment… 110 million annotated CCTA images FFR analysis · Heartflow · Plaque analysis IBM Sample Nov 26, 2025 Dollarito Dollarito wanted to lend responsibly to people with low or no credit history using richer behavioral and banking data, but it lacked the secure, compliant and scalable infrastructure needed for AI-powered credit… 40% Cost reduction due to automation in loan disbursement and collection process IBM Cloud for Financial Services · IBM watsonx 
DXC Sample Nov 25, 2025 DXC Technology DXC's history of mergers left the company with fragmented data repositories and thousands of inconsistent dashboards, which slowed analytics, weakened trust in reporting, and made it difficult to scale advanced AI… 80 dashboards were considered reliable AI agents · AWS · Databricks Data Intelligence Platform