Enterprise & Cloud · ibm.com
IBM
206 verified customer use cases (95% with quantified ROI · Avg Value Score 91.1 · 99% with mapped architecture components).
- Verified stories
- 206
- Quantified ROI
- 95%
- Avg value score
- 91.1
- Industries served
- 17
- Distinct products
- 232
IBM Sample Dec 18, 2024 Pyramid Analytics Pyramid Analytics wanted non-technical business users to get answers and visualizations from distributed enterprise data without waiting on overburdened data teams or learning specialist tools. under 30 seconds IBM watsonx.ai IBM Sample Dec 3, 2024 British Sugar British Sugar needed to preserve expert knowledge, improve production and supply-chain decisions, and reduce downtime and cost by moving from intuition and siloed processes to data-driven operations. 10% reduction in costs of raw material for purification processes IBM Consulting · IBM Research · IoT sensors IBM Sample Nov 20, 2024 Dun & Bradstreet Dun & Bradstreet wanted to give procurement teams faster, more comprehensive supplier-risk assessments by combining its large business-data assets with conversational AI and workflow automation instead of forcing… 10-20% Estimated reduction in time for procurement tasks IBM Cloud · IBM watsonx Orchestrate · Llama 3 IBM Sample Nov 14, 2024 Arizona Department of Child Safety Arizona DCS needed to reduce manual casework, document handling, policy navigation, and development overhead so staff could make child-safety decisions faster and spend less time on administrative work. 40% productivity gain IBM Consulting Advantage for Cloud Transformation · Microsoft Azure · Microsoft Azure OpenAI IBM Sample Nov 13, 2024 yappyBuy GmbH yappyBuy needed an enterprise-grade AI stack for its Buddy shopping assistant so it could personalize search, product support, and checkout interactions while meeting European data-privacy and governance requirements. analyzed over 1 million online comments IBM Granite · IBM Watson Discovery · IBM watsonx.ai IBM Sample Nov 12, 2024 INAIL INAIL needed to absorb a surge in grant-funding inquiries and application volume for its Bandi ISI program without overwhelming the contact center or delaying applicant guidance during the submission and admission… 2 months IBM Watson Discovery · IBM watsonx Assistant · IBM watsonx.ai IBM Sample Nov 6, 2024 Humach Humach wanted to evolve its contact-center offering so digital assistants and human agents could work together more effectively, because rising customer expectations required faster, more contextual resolutions without… 18% increase in overall customer satisfaction Amazon Web Services · Deepgram · IBM watsonx Assistant IBM Sample Nov 6, 2024 ASPHI Onlus ASPHI Onlus needed a better way to make reading materials accessible for people with hearing or cognitive impairments and non-native Italian speakers because conventional text experiences created barriers to learning… 4 weeks IBM Cloud Code Engine · IBM Cloudant · IBM watsonx Assistant IBM Sample Nov 4, 2024 IBM CIO Organization IBM’s CIO Organization needed to help new and early-tenure professionals manage IBM Z environments more independently because the mainframe skill curve was steep and subject matter experts were spending too much time… 10% faster incident resolution Ansible · IBM watsonx Assistant for Z · Red Hat OpenShift IBM Sample Oct 28, 2024 Tutore Tutore needed a way to answer large volumes of repetitive student and parent questions around the clock because fast growth was overwhelming support teams and 24x7 manual coverage would have been too expensive. 90,000+ messages across 40,000 conversations in first nine months Actionbot · IBM watsonx Assistant IBM Sample Oct 28, 2024 IBM Chief Information Officer organization IBM's CIO organization needed to run new AI applications alongside thousands of existing workloads, but its earlier vector-database and model setup relied on costly provisioned GPUs that created resource contention and… nearly 2,000 existing internal workloads IBM Cloud · IBM watsonx.ai · IBM watsonx.data IBM Sample Oct 17, 2024 rKube rKube needed to accelerate Java modernization for customers because manual refactoring of enterprise WebSphere applications was slow, costly, and difficult to validate across outdated codebases and tests. 10 participants IBM WebSphere Liberty · IBM watsonx Code Assistant IBM Sample Oct 17, 2024 IBM IBM wanted to help developers understand undocumented code, generate documentation faster and reduce the manual effort required to work across large, inherited codebases. 56% average reduction in time spent on code explanation IBM watsonx Code Assistant IBM Sample Oct 16, 2024 Medtronic Medtronic, a leading medical device manufacturer, identified an opportunity to optimize their process for identifying critical raw materials within their extensive range of products. Medtronic achieves 90% accuracy IBM Sample Oct 14, 2024 NatWest Group NatWest wanted to evolve its long-running digital assistant beyond basic FAQ handling so customers could receive more nuanced, personalized banking answers through digital channels without sacrificing trust, accuracy,… 94% of customers use digital banking IBM Cloud · IBM watsonx Assistant IBM Sample Oct 2, 2024 CXReview CXReview needed to automate quality-control and compliance analysis across high-volume call center conversations because manual review covered only a small fraction of calls and slowed coaching and remediation. Estimated to save around 23 hours in total per day IBM Watson Discovery · IBM watsonx Assistant · IBM watsonx.ai IBM Sample Sep 16, 2024 IBM Office of Privacy and Responsible Technology IBM needed a scalable way to govern privacy and AI compliance across thousands of applications, global entities and emerging regulations without relying on regionalized, manually maintained programs. 13,000 suppliers IBM Cloud Pak for Data · IBM Knowledge Catalog · IBM OpenPages IBM Sample Sep 4, 2024 Virgin Money UK PLC Virgin Money needed to reduce contact-center demand and improve digital self-service because credit-card customers often called for help instead of completing questions and account updates inside the mobile app. 2M+ customer interactions with virtual assistant since launch Bot Framework Composer · Power Virtual Agents IBM Sample Sep 3, 2024 IBM CIO IBM employees needed a faster way to find proposal content across many internal sources because searching sales documents, templates, product guides, and offerings manually slowed proposal creation and made it harder to… IBM Cloud Code Engine · IBM Granite · IBM Watson Discovery IBM Sample Aug 23, 2024 dsm-firmenich Animal Nutrition & Health dsm-firmenich needed a more proactive way to identify and predict mycotoxin contamination in feed crops because contamination threatens food safety, animal health, regulatory compliance, and agricultural economics… 25% of the world’s crops affected by mycotoxins IBM Environmental Intelligence Suite · Mycotoxin prediction IBM Sample Aug 20, 2024 smart Europe smart Europe needed to automate case handling in its customer engagement center because Salesforce-based workflows were manual, inconsistent and too slow for its direct-to-consumer sales and after-sales model. 3 times faster resolution time for recurring issues IBM Cloud · IBM Watson Discovery · IBM watsonx.ai IBM Sample Aug 16, 2024 Blue Pearl Blue Pearl needed to shorten hiring cycles and improve candidate matching because manual job-description creation and keyword-based screening were slow, inconsistent and often produced poor matches. 3x increase in shortlist rate, from 1 in 10 to 1 in 3 candidates shortlisted for interviews IBM Granite · IBM watsonx.ai · blueapp.blue IBM Sample Aug 2, 2024 United States Tennis Association The USTA needed to turn massive volumes of match, player and fan data into engaging digital experiences for a global audience while keeping the US Open’s app and web platforms resilient under extreme traffic spikes. 99.999% uptime during tournament play IBM Granite · IBM watsonx Orchestrate · IBM watsonx.ai IBM Sample Aug 1, 2024 Seismic Seismic needed an enterprise-grade generative AI platform for meeting summarization and content recommendations because early prompt and model experiments were not keeping pace with the sophistication and scale of the… IBM Build Lab · IBM watsonx.ai · Terraform