Platforms for building, training, deploying, and governing machine learning models, including ML orchestration, model serving, and AI development environments.
66
Use Cases
40
Tools
19
Companies
ML Platform Tools
Framework for building, evaluating, and deploying domain-specific AI agents grounded in enterprise data.
Fully managed service for accessing foundation models from leading AI companies via AWS.
Managed infrastructure for deploying and orchestrating AI agents at enterprise scale
AI coding assistant that accelerates software development through code generation, explanation, and transformation.
Managed machine learning service for building, training, and deploying ML models in the cloud.
Azure-hosted OpenAI models for enterprise AI applications
No-code AI data analysis platform by C3 AI for building ML models without writing code.
Generative AI platform by C3.ai for deploying foundation model-powered applications in the enterprise.
Workbench for data scientists to build and deploy custom ML models on top of process mining data.
No-code ML tool within Celonis for building predictive models on process execution data.
Anthropic API providing programmatic access to Claude models for building AI-powered applications and agents.
Anthropic Claude models deployed via Google Cloud Vertex AI
AI development and deployment platform by Anthropic for building applications powered by Claude models.
Lightweight deployment framework for building and hosting data apps and dashboards directly on a lakehouse.
Unified lakehouse platform for data engineering, analytics, and AI
Showing 15 of 40 tools
Sign up to read complete case studies, access detailed metrics, and unlock all use cases.
Use Cases (66)
Yoodli is an AI-powered experiential learning platform that helps enterprise sales teams practice high-stakes conversations before they happen. By integrating Claude into its real-time roleplay engine, Yoodli delivers realistic AI personas that coach reps at scale — helping customers like Snowflake and Google Cloud achieve measurable performance gains.
Thomson Reuters integrated Claude via Amazon Bedrock into its AI platform, CoCounsel, to make the expertise of 3,000+ subject matter experts and 150 years of authoritative content accessible to legal and tax professionals. The solution combines Retrieval-Augmented Generation (RAG) architecture with multi-model deployment to deliver comprehensive, accurate professional analysis. Early adopters report dramatic efficiency gains, with some estimating task time cut in half or more.
Lenovo's Solutions and Services Group deployed ServiceNow Technology Provider Service Management and generative AI to unify its global Device-as-a-Service operations across 400+ enterprise customers. The platform streamlined onboarding, integrated third-party tools, and enabled self-service portals — delivering measurable gains in customer satisfaction and retention within a single year.
VideoAmp consolidated its entire data warehouse onto Snowflake, achieving 90% cost reduction, 10x performance improvement, and cutting data backfilling from 5 days to 13 hours.
Penske Logistics migrated to Snowflake and leveraged Cortex AI to build a gen AI summarization model in under 15 days, generating company-wide BI reports spanning 5 years in just 15 minutes.
Replit on Microsoft Azure democratized software development so that 75% of enterprise users are non-engineers, compressing development timelines from weeks to minutes with natural language.
Cox Automotive deployed 17 production AI agent solutions using Amazon Bedrock AgentCore, reducing estimate completion from 48 hours to 30 minutes, achieving 3x consumer response rates, and projecting 17,000 hours saved.
Pinterest built an AI-powered discovery engine on AWS processing 18TB daily, delivering 10 million AI recommendations per second across 10,000+ GPU instances, driving 17% revenue growth and 70% AI-driven discovery.
Postman selected Claude Opus 4.6 as the default model for Agent Mode, saving developers up to 1,150 hours per year and nearly $1M annually for a 10-person team in API development automation.
Cogent built an AI-powered cybersecurity platform with Claude as the reasoning layer, reducing critical vulnerability exposure from days/weeks to minutes — a 97% reduction — while reclaiming 40+ hours monthly from manual reporting.
Gordon Food Service deployed Gemini Enterprise across 7,000 employees, saving 20,000+ hours monthly through AI-powered digital co-workers with no-code agent creation.
Super-Pharm leveraged Google Vertex AI for ML-powered demand forecasting, improving inventory accuracy from 50% to 90% and making forecasting 10x more efficient.
EVERSANA built the first AI-powered marketing agency platform on Google Cloud using three master AI agents that create complete pharma campaigns in 30 minutes.
Shopify built Sidekick, an AI commerce assistant powered by Claude Sonnet on Google Vertex AI, enabling millions of merchants to reach their first sale in days instead of weeks.
Humana replaced its legacy IVR system with an IBM Watson-based conversational voice agent that handles 7,000+ provider calls daily, completing inquiries in 2 minutes at one-third the previous cost.
UFC partnered with IBM to build the UFC Insights Engine using IBM watsonx Orchestrate, tripling insight volume while reducing query generation time by 40% across 40+ annual live events for 700 million fans worldwide.
Moderna partnered with IBM Quantum to explore quantum computing for mRNA sequence optimization, achieving record-breaking simulations of 60 nucleotide sequences on 80 qubits and advancing toward practical quantum advantage in drug development.
Scuderia Ferrari HP partnered with IBM Consulting to reimagine their mobile fan app using IBM watsonx AI, delivering AI-generated race summaries, personalized content, and interactive features that doubled daily active users and increased in-app engagement by 35%.
Blue Origin deployed 2,700+ AI agents with 70% company-wide adoption, achieving a 90% reduction in hardware development time using Amazon Bedrock.
Showing the 19 most recent of 66 use cases