Microsoft Sample Sep 11, 2023 Zimmer Biomet The company believed that better information about a patient’s recovery could notify clinicians of slow progress or unusual symptoms. Zimmer Biomet needed to develop a broad AI framework with customized algorithms to… Zimmer Biomet, a medical technology company with more than 90 years of experience, is leading responsible AI… Azure DevOps · Azure Machine Learning 
AWS Sample Sep 8, 2023 Katalon Katalon engineers had to set up and manage workflows for a growing number of customers who generated workloads with large fluctuations in volume depending on the time of day. “At first, we didn’t have a messaging… By implementing managed, serverless solutions from AWS, Katalon has automated its ability to scale while… AWS Lambda · AWS Marketplace · Amazon EKS 
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 AWS Sample Sep 7, 2023 Bio-Rad Laboratories Additionally, the team needed Internet of Things (IoT) capabilities to facilitate the automatic and programmatic upload of data—including high-volume instrument data and low-volume system telemetry data—to a centralized… A single ML model might analyze up to 50 GB of data, making it impractical to run on a data scientist’s laptop. AWS Glue · AWS IoT Greengrass · Amazon S3 Microsoft Sample Sep 1, 2023 Epiroc With its headquarters in Sweden, Epiroc is a leading manufacturer of rock excavation equipment. The company sources premium steel and then processes it at locations across the globe to produce drilling tools and… Malmberg notes that the company has reduced customer rejections and product returns by 30 percent, saving time… Azure Data Factory · Azure Databricks · Azure Machine Learning 
Databricks Sample Sep 1, 2023 First Orion First Orion needed a better way to support caller transparency, spoof mitigation, and AI-powered scam detection because massive call volumes and siloed EMR-based data workflows made fraud detection and new AI features… $12.7M building trust in mobile communications Agent Bricks · Amazon EMR · Databricks Data + AI Platform In-house Sample Aug 31, 2023 Cohesity Cohesity needed to improve customer support by reducing customers' time to action and time to resolution while scaling access to its SRE knowledge without requiring a support technician for every issue. reducing overall customer time to resolution by up to 40% Cohesity Turing · Large Language Models (LLMs) · Natural Language Processing (NLP) Databricks Sample Aug 30, 2023 Oakbrook Stringent regulation and outdated approaches to consumer lending have made it more difficult for many consumers across the UK to obtain loans. However, fintech organizations such as Oakbrook Finance are revolutionizing… Indeed, the company has been able to launch two new products over the last 12 months, as well as a top-up loan… BigQuery · Databricks Data + AI Platform · Delta Lake Databricks Sample Aug 28, 2023 Anker Anker is pioneering power delivery technology to charge phones, tablets and laptops at unprecedented speeds, whether at home, in the car or on the go. Key to their ability to improve operations and margins is the use of… 1,000+ BI reports and dashboards Agent Bricks · Anker Innovations Technology · Delta Lake 
Oracle Sample Aug 24, 2023 MosaicML MosaicML needed cloud infrastructure that could support growing demand for AI services and let it train large, complex generative AI models faster and at lower cost for enterprise customers. cost savings of up to 80 percent NVIDIA A100 Tensor Core GPUs · OCI AI infrastructure · OCI Compute bare metal GPU instances In-house Sample Aug 22, 2023 Allianz Allianz wanted to reduce customer effort and cycle time in claims handling, improve risk assessment and pricing, and move from reactive claims payment toward more predictive and preventive support for policyholders. We’re currently investigating around 60 use cases globally for Generative AI. CE application · Severe Weather SMS tool Microsoft Sample Aug 17, 2023 OriGen Like most businesses these days, energy companies are striving to do more with less. Historically, the energy industry has been slow to adopt new digital technologies, but the need to realize greater returns with lower… As a major oil and gas provider in Colombia with an energy transport business as well, Ecopetrol partnered with… Azure · Azure AI · Azure Kubernetes Service Microsoft Sample Aug 14, 2023 Inflection AI Inflection AI is bringing conversational AI to the forefront—and into everyone’s pockets—with its Pi chatbot. Azure AI Services · Azure Machine Learning · Azure Virtual Machines 
Capgemini Sample Aug 4, 2023 AETA AETA needed to improve the accuracy and operational readiness of its earthquake-prediction system so governments could act on its forecasts with more confidence. 600 teams from 28 different countries WALKTREE prediction model · competition system · three-part sensory systems 
SAP Sample Aug 4, 2023 Central Coast Local Health District Clinicians lacked accurate between-appointment data on Parkinson's disease patients' fluctuating 'on' and 'off' medication states, especially for people in remote areas or with mobility limitations, which made symptom… AI engine · Desktop view of the solution · Mobile application 
NVIDIA Sample Aug 2, 2023 BEN Group BEN Group needed a scalable way to analyze huge volumes of media, creator, and audience data so brands could place product integrations and influencer spend more effectively while also detecting fraud and improving… 100,000 Instagram posts analyzed per week NVIDIA DGX A100 NVIDIA Sample Aug 2, 2023 RingCentral RingCentral needed a transcription platform that could handle hundreds of thousands of concurrent meeting users, different accents, specialized vocabulary, and noisy audio while still producing real-time results. 200,000 concurrent users NVIDIA DGX A100 · NVIDIA NeMo · NVIDIA Riva NVIDIA Sample Aug 2, 2023 CCC Intelligent Solutions Inc. CCC needed to train and iterate on large computer-vision models for insurance claims automation, but hybrid data movement, bursty GPU demand, and developer orchestration made it hard for data scientists to move models… 2X speedup in running data scientists' experiments NVIDIA AI Enterprise · NVIDIA Base Command Platform · NVIDIA DGX A100 NVIDIA Sample Aug 2, 2023 Hour One Broadcasters needed a faster and more affordable way to create premium video at high volume, but traditional studio production and human-presenter workflows were too slow and expensive for always-on, frequently updated… 100+ virtual humans NVIDIA CUDA · NVIDIA GPUs · NVIDIA RTX Microsoft Sample Aug 1, 2023 ALTANA The challenge: Fragmented knowledge spread across 35 ERP systems Knowledge transfer is essential for the success of a company—not only when experienced employees are retiring… Azure · Azure AI Services Microsoft Sample Jul 18, 2023 Project Gutenberg The oldest digital library and a leading distributor of free eBooks, Project Gutenberg wanted to make its collection more accessible to a broader community of members, including people who have visual impairments and… Created in 1971, Project Gutenberg is the oldest digital library and the first organization to make electronic… Azure AI Services · Azure Synapse Analytics · Microsoft Fabric Microsoft Sample Jul 18, 2023 Marks & Spencer The previous solution for data science workloads relied on many manual processes, and Marks & Spencer wanted a faster, less labor-intensive way to get models into production. "Marks & Spencer has more than 30 million customers and large amounts of data that require systems that can… Azure Databricks · Azure DevOps · Azure Machine Learning Microsoft Sample Jul 17, 2023 INSPIRE Environmental INSPIRE Environmental (INSPIRE), a Venterra Group company and team of marine scientists focused on seafloor health, used Microsoft Azure solutions to streamline the analysis of complex ocean data. INSPIRE used AI for image analysis and improved business by lowering costs and reducing turnaround times for… Azure AI Services Capgemini Sample Jul 13, 2023 Boehringer Ingelheim Boehringer Ingelheim had millions of unstructured text documents in inconsistent formats and quality states, making it hard for teams across the business to analyze the data, surface insights, and respond quickly to… 40% reduction in response time for complex medical inquiries Custom NLP-driven analytics platform · Machine Learning Operations approach · Natural Language Processing (NLP) algorithms